Form Energy is pioneering long-duration energy storage through iron-air batteries that can provide up to 100 hours of discharge at a fraction of lithium-ion’s cost. The company’s technology, which relies on rusting and unrusting iron—an abundant and low-cost material—offers a transformative solution for grid reliability, especially during multi-day weather events or peak demand. After years of R&D, Form built its first 1 million-square-foot manufacturing facility in West Virginia, a decision driven by the need for full control over design, materials, and production at scale. The manufacturing journey was intensely challenging, particularly in achieving consistent electrode performance under complex process conditions, requiring iterative design, root-cause analysis, and rigorous process control. Throughout, Form integrated AI and machine learning into its operations, using vast operational datasets to accelerate material science innovation and discover previously unknown behaviors in iron oxidation. This not only improved performance but enabled real scientific breakthroughs. The company secured substantial funding, including a $750 million Series G round and U.S. Department of Energy grants, to scale production and meet growing utility demand. Form’s approach—combining low-cost chemistry, end-to-end manufacturing control, and AI-driven innovation—represents a blueprint for other clean energy ventures, demonstrating that technical success in hard tech demands deep integration between design, manufacturing, and data science. With its e-peaker technology, Form is poised to reshape grid energy reliability while reducing emissions and costs, offering a scalable, domestic alternative to fossil-based peaker plants.
Hey, it's Stephen. Here we are in the last leg of summer, and the whole gang is going to be taking
the last couple of weeks of August off from recording. So in place of our normal installment,
we are dropping an episode of The Green Blueprint into the feed. This episode features a conversation
between host Laura Pierpoint and Form Energy CEO Mateo Jaramillo. Form is one of the best-known
and well-capitalized long-duration storage companies. It makes iron-air batteries with
100-hour durations. And this is a particularly timely interview because Form just closed a $750
million Series G funding round. It brings the company's total investment to $2 billion,
and the company is on the IPO watch list. The new funding round is going to help Form continue
boosting its manufacturing plant in West Virginia, where it's making batteries for its first
commercial deployments. And this episode is all about the complexities Form dealt with in standing
up that manufacturing line. Of course, building a commercial production line
is one of the most important things that we're going to be talking about in this episode.
It is so much different than proving the batteries work, and Form did all of it.
Mateo is a really good interview. He's incredibly candid and is definitely one of the most
influential people in the storage industry. And there are a lot of lessons from what Form went
through and is still going through for other climate tech companies. Before we get into it,
I just want to let you know that we will soon be on a new schedule. We're going to be releasing
episodes on Tuesdays instead of Fridays. That'll start in early September. So the next regular
episode will be out on September 8th.
We've got some content in the feed between now and then. But if you're itching for our regular
episodes, go on over to YouTube and watch there. We've got all our video episodes over the last
year there. We're building an audience and we'd love for you to be there and subscribe to our
YouTube channel. We'll be back in a couple of weeks with new episodes. In the meantime, enjoy
this episode of The Green Blueprint. And if you like it, don't forget to subscribe to The Green
Blueprint as well, anywhere you listen to your shows. All right, let's get into it.
We went from quite literally batteries the size of a cup, like a coffee cup,
to batteries that are now 80,000 pounds in a shipping container. And, you know,
that journey is not going to be linear, I can tell you that.
Lithium-ion batteries are storing energy for the grid in increasingly large volumes.
But to solve for all of the grid's balancing needs,
we could use energy storage with a much longer duration and a lower price point.
If you can make energy for the grid, you can make energy for the grid.
If you can make a battery for $20 a kilowatt hour, you get the 100 hours,
and you have a very entitled place to bring a ton of value to the grid. It is differentiated,
it enhances the value of all the rest of the systems in there, and it makes the entire
portfolio of resources, whatever they are, operate more efficiently, and the whole thing is cheaper.
Matteo Jaramillo has been in the battery industry for over 20 years,
including seven years building Tesla's storage business from the ground up.
But he knew that replacing a gas peaker plant with an electric peaker would require a fundamental
different approach to chemistry and to cost.
When we started the company, we thought the probability of success was fairly low.
Like, go invent a new type of battery that is going to solve the multi-day duration problem.
Okay, that sounds amazing. There is no risk-free version of that, right?
I'm Laura Pierpoint, and this is The Green Blueprint,
a show about the architects of the clean energy economy.
We've already invented most of the solutions needed to decarbonize the global economy,
but many of these solutions are not.
These technologies are not yet commercial, and they need to get financed and built at scale.
We don't have decades to get these solutions commercialized. We have years.
In today's episode, we're speaking with Matteo Jaramillo, CEO and co-founder of Form Energy.
Form is on the cusp of bringing its massive long-duration batteries to utilities around
the country. But to make it happen, the company had to overcome immense manufacturing hurdles.
OpenCircuit is brought to you by Energy Hub, the flexibility platform for the modern grid.
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Forum Energy is commercializing a new class of iron
storage for the grid. Its batteries work by oxidizing and reducing iron, literally rusting
and unrusting the most abundant substance on earth. After years of R&D and proving the tech,
Forum Energy recently completed a one million square foot factory on the site of an old steel
mill in Weirton, West Virginia. And with demand surging on grids around the country,
utilities and hyperscalers are more interested than ever. But it hasn't been easy. I talked with
grueling realities of scaling up manufacturing, using AI to drive material science discovery,
and what it really takes to build the physical infrastructure of the clean energy transition.
Mateo, thank you so much for joining us here on The Green Blueprint. I'm so excited to have you.
Thanks for having me, Lara.
Okay, so let's start at the beginning. I think, you know, Form Energy is probably about as close
as it gets to a household name among climate and energy tech companies. But for the uninitiated,
can you tell us a little bit about what Form Energy does? What is the problem you're solving,
and how are you solving it?
Yeah, first of all, that's a high compliment. I think probably the circle of folks who know this
is, you know, my family and then some deep tech energy nerds. But I appreciate it.
Otherwise known as the whole world.
Right. But yeah, Form Energy is commercializing iron air batteries for the electric grid.
And probably the first question is, well, why does the world need a new battery?
There's a few of them out there, including lithium ion, which is doing a great job at storing energy
for the grid in increasingly large volumes. And indeed, that was sort of where I cut my teeth in
the market. I've been in batteries now for 20 plus years. I was at Tesla working exclusively on
lithium ion for seven plus years. But what I saw there was there's an opportunity for something that
is much longer duration and by direct implication, therefore much lower cost. Because absent that cost
point, and therefore duration,
you really can't compete with with gas, which is sort of the large incumbent technology in the grid
in the US today. And so we set out Form nine years ago to discover, scale up and manufacture the kind
of battery storage that would compete rather with gas. So where we are today is we have sort of
created this category of what we call multi-day duration storage and the device. We're really
trying to not use the word battery storage. We're really trying to not use the word battery storage
because maybe it evokes the wrong thing. It's not a gas beaker, but it's an e-peaker. And so that sort
of notion is one that we're really starting to put out there and be sort of front footed on going
straight after that application. So that's what Form does. We have invented the e-peaker and we
are selling it into the market.
By e-peaker, you mean that you're addressing data center needs? Or what specifically do you mean by that?
I just mean instead of a gas beaker, it's an electric beaker.
Electric beaker. That's where you get an e. Got it. Okay.
Very cool. So we'll get into some of the market dynamics around the kind of batteries and e-peakers,
as you say, a little bit later. But one quick question, which is that when you founded the
company almost 10 years ago, I feel like it was like the Wild West. There were like 80 battery
technologies out there. That's probably actually a drastic undercount, but like very different
things from like redox flow batteries to lithium ion to like LFP to like all of these different
technologies. Is there still like a vast landscape of technologies or are you starting to see that
field narrow?
Yeah, I would say that that Cambrian moment there where there's like that explosion of a bunch of
different approaches, it has consolidated to some degree. And what you're not seeing, especially
in the last couple of years of sort of the brand new companies that are coming out you sort of have
a few that have been able to sort of hold on or you know you know get through uh but but you
certainly don't see um the investment cycles in the new chemistries partially because the landscape
is starting to feel fairly settled like lithium ion is gonna get super super cheap and so unless
you can point to you know beating lithium ion at its own game then there's really no point
and then i i think where we were perhaps uh slightly pressured was identifying just how
cheap lithium ion was going to get and how far away you had to be from that on cost um to to
have an entitled position in the market and and for us you know the goal as we said from the very
beginning of the company we always were targeting something that would be twenty dollars a kilowatt
hour all in at the system level um and and that we feel is still very much the entitlement there
that we're that we're headed towards um and that's sort of far enough away from lithium ion to to uh
to be
you know
differentiated enough that you don't have to worry about it um but uh but yeah we haven't
seen a lot of brand new entrants in that space and and and you know unfortunately some companies
have gone away in the meantime as well so it does seem to be sort of settling out a bit uh in ways
that maybe were not super easy to predict yeah totally but it sounds like you all had the right
idea on coming up with something that is very low cost compared to lithium ion and that does
the thing that lithium ion is bad at which is long duration storage what led you ultimately to iron
versus some of the other technology options out there costs pure pure costs um in the end the
duration is is the valuable thing and and to provide that duration right hundred hours plus
uh you know four straight days of discharging at the rated power um you need to be in a very
different cost regime from anything else that's out there you know in our case what what is the
chemistry just real briefly we are we are oxidizing and reducing iron rusting and unrusting iron um
so you start with iron which is you know the most abundant substance on earth and then you start with
just about and um the most mined metal by a few orders of magnitude and uh and you oxidize it
from obviously air out of the oxygen out of the air uh which is free we don't we don't need to
scrub it or purify it or or you know um uh enhance it in any way and so you're starting with a raw
cost of materials that's less than a dollar per kilowatt hour right this is as compared to let's
say unprocessed minerals for lithium ion that sitting on a table is you know 30 bucks a kilowatt
so you're starting in a fundamentally different regime and the trick of course then is to keep it
cheap it it's really easy to start with something that doesn't cost very much and then synthesize it
to extreme purities and you know strange morphologies and you of course you add costs
on on top to get the performance and and the real innovations that we've had over the last
nine years is to um continue to to keep the cost entitlement while driving performance up
um throughout uh throughout the development cycles but but really because of cost that's
really what it comes down to
right okay and so you've got a very strong engineering team that's doing this with you
you also did something pretty unusual when you started your company which is in addition to
standing up this engineering team obviously to work on you know your technology you also
stood up an analytics team to help understand and really define the business cases for these
batteries so can you say a bit about why you did that and what the journey has been like for that
team yeah absolutely in fact even before we picked the chemistry to work on which of course was only
became iron air um we built software tools this is my co-founder marco ferrara uh who himself was
an energy trader uh in for for a number of years so he really understood the energy markets and
funnily enough he has a phd in uh in nuclear fusion engineering from mit so he's not doing
that yeah um but marco built these what we call you know sort of complex co-optimization
modeling tools and what the utility industry would call capacity expansion modeling tools
um and and he built these um you know sort of complex co-optimization modeling tools and what
he built them uh with capabilities that that went beyond what the industry was currently using in
other words you know sub-hourly resolution data multiple years of it uh you know non-standard
meteorological data coming in you know multiple decades of time series of of data um and and sort
of doing the co-optimization that way as opposed to really simplifying the problem in other words
take an average week out of a year and solve for that which is what they had been doing
um so so go do the optimization you know with hard math and
and modern compute um and you get very different answers about what kinds of storage are then
therefore uh entitled to bring a lot of value on the grid what duration matters for example that
that was one of the key questions we tried to answer up front you know how many hours do you
need to functionally compete with the gas resources um and once you know the duration
of course then cost and all sorts of other figures of merit um come in uh that you need
to be able to take into account but but with that um analysis that marco built you know with lots of
sensitivities that we could evaluate we sort of had a treasure map and and what what popped out of
that analysis was very clearly if you can make a battery for 100 for 20 kilowatt hour you get the
100 hours and you have a very entitled place to bring a ton of value to the grid it is differentiated
it enhances the value of all the rest of the systems in there and it makes the entire portfolio
of resources whatever they are operate more efficiently and the whole thing is cheaper
including the cost of you know this new asset and so
so that was sort of a real insightful um just roadmap that we had for what we should go build
and in fact that helped us down select to iron air in the first place um it was very clear that
iron air was entitled to go do those things and and we like that and then of course that was the
basis with which we had the conversations with customers from day one essentially so even before
we had picked hardware we were engaging with utilities and saying hey this our analysis
suggests that we should go build this kind of battery what do you think um and uh and that led
us just have a really good conversation with the customers and we had a really good conversation with
a really productive conversation um with potential buyers from from day one essentially and is there
kind of a lot of variability among utilities and geographies around how your batteries are being
used are you finding that they're that there's kind of one one way that folks are tending to
approach this no there's there's a few very consistent use cases um what does vary is how
often they sort of tap into the different use cases um and and as you would imagine that varies
by by geography it also varies by by market structures um so you know what kinds of market
designs are in place um the easy obvious one is just reliability event you've got a multi-day
weather event you just want to discharge right so of course famously winter storm uri in texas in
2001 and you know four days of black 21 i should say and and you know four days of blackout that
cost tens of billions of dollars in damage if we had been there we would have just discharged flat
out right for for those four days and there you go um you know the other is just tight grid capacity
uh 10 days in a row you're operating within the reserve margins right you don't want to add any of
your incremental stress to the grid you you operate almost exactly like what a gas speaker
would do you discharge only for 10 hours a day 10 days in a row right something like that um and uh
and then the other is just how do you enable these new large loads to come uh online faster um this
is this doesn't have a neat tidy graph that i can point to uh like the other like the first two use
cases um but in that case i'm you know bringing those large loads primarily from data centers
could be industrial loads um without sacrificing reliability and
and increasingly getting those new loads even approved in the first place um by the communities
in which they're they're located because you're able to bring not just the reliability you're
able to keep costs under control um and you're not bringing any local uh emissions as well which is
which is a big concern of of communities too so it's it's all of those use cases as we see it and
with some slight variations in between very cool okay so let's get into everything leading up to
building your first factory in west virginia which is an incredible accomplishment so
maybe say a little bit about the early days of the company how you kind of got your first customers
and when you ultimately were ready along with your board to make the decision to build a factory to
mass produce your batteries yeah so we started off as a pretty focused r&d company you know
primarily scientists and you know phds studying electrochemistry at a subscale um we once we sort
of got through the fundamental traps there you know for any electrochemical device you have to
be able to to make it at a relative speed so we started off as a pretty focused r&d company and
then after a couple of years of that sort of saying okay we feel like we've done all we can do at the
at the relevant scale but using prototype production methods right in other words batch methods or very
very sort of small continuous methods um we the next step is of course to make it you there's no
shortcut there you at some point you have to make it at the relevant scale without knowing for sure
exactly what you're going to do and then you have to make it at the relevant scale and then you have
to make it at the relevant scale and then you have to make it at the relevant scale and then you have
how well that's going to go right um and and you can do a lot of testing ahead of time and you know
pilot production and it still doesn't give you you know perfect sense for for how well that that's
going to go so we made that decision in uh i guess it was 2022 uh that that we thought we were ready
to to go land a factory and start to scale things up um and uh by by the end of 2010-2 we we had
selected uh west virginia is where we're going to go do that um the state stepped up with massive
support um and we were excited to go there uh we are in we're in west virginia which is in the
northern panhandle uh for folks who don't know where that is it's roughly 45 minutes from the
city of pittsburgh pennsylvania so just just uh west of there and we built uh what today is a
million square foot factory so we're operating about half of that uh first 500,000 square feet
and we landed production equipment as we were
finishing the building so we wasted no time doing that and we knew we knew the the machine sets that
we were going to be using and so uh we started to land those and operate it and we've been doing
that for the last um couple of years
If I look back around the challenges of the company, it's never linear to start off with
a brand new electrochemistry and say, "We're going to commercialize this."
We went from quite literally batteries the size of a cup, like a coffee cup, to batteries
that are now 80,000 pounds in a shipping container.
That journey is not going to be linear, I can tell you that.
But I would say the biggest challenges, candidly, were the manufacturing scale-up of the electrode
manufacturing.
That's sort of the thing that every battery company needs to be able to do.
And so that was where we spent a lot of time, a lot of money, and a lot of just effort,
grit, and ingenuity, and tears, travails, and everything else.
But yeah, that's been the journey to get to the manufacturing stage.
That we just got through, and from here, scale-up.
I think one of the things you said to me one time is that having success gives you
the opportunity to solve the next problem.
That's actually what it feels like to be in the belly of this, so yeah.
So let's dig in on this.
Okay, so thinking about your decision to build this factory in West Virginia, first of all,
there's a strategic decision.
And one of the things that I'm seeing happen now, particularly for companies that are in
the battery space, is they're looking at manufacturing in China and basically finding creative ways
to partner with manufacturing capacity there.
So you all made the very clear decision to manufacture in the United States.
Was there a moment where you were considering either some sort of joint venture with overseas
companies or contract manufacturing, or was it always very clear to you that you needed
to be manufacturing in the United States?
Yeah.
It was always very clear that we needed to manufacture in the US for a couple of reasons.
One, there is no existing manufacturing supply chain for an iron-air battery.
We were inventing that from scratch.
I don't mean we were inventing the machine sets.
I mean, we were putting it all together for the first time.
There was no incumbent that you say, "Oh, give me the line that makes a discharge cathode."
That doesn't exist.
We had to sort of piece together different machine sets from different existing industries
and get them to do what we needed them to do.
So that was sort of point one on why you asked.
Point two is we were still improving and inventing the electrochemistry as we went, and it's now
never as discrete tasks to say, "Oh, the electrochemistry versus the manufacturing."
In fact, those are in many ways the same problem, and you can't say that you've solved the electrochemistry
until you're making it at a relevant scale, relevant throughput, with relevant yields,
with relevant costs.
That's when you know you're done, I don't want to say done, that's when you know you
actually have an understanding, I would say, of your electrochemistry.
And so that notion that we would be making something overseas while developing it here,
it just, it doesn't make a lot of sense.
And then third, for any company, you're trying to do things, especially hard tech where costs
are high, you want to get through your iteration loops as quickly as humanly possible, right?
Your learning cycles.
And so having everything on site that you own, that you control, you can work 24 hours
a day if you want, it was really, really important.
And so for all those reasons, plus we all believe that we should be manufacturing, again,
in the United States, and there was a good chance to do that.
You know, there were reasons why we never really considered, you know, something overseas.
Earlier, we met Paul Heinz, Energy Hub's chief scientist.
His team develops the machine learning that orchestrates 3.6 gigawatts of virtual power
plants.
When you see a utility using algorithms that we wrote on the whiteboard, running 250 megawatt
events, I think that's pretty amazing.
Utilities need capacity.
They need time.
They need energy.
And they're finding it in virtual power plants, which are precise and configurable.
I've got customers that have time-of-use rates.
We need to make sure we respect that.
I need to pre-cool during these hours.
Maybe there's some hours that have a lot of solar power.
So let's make sure that we soak up as much of that solar as we can.
But I need to really manage my peak during this other period of time.
And so figure out how do we take all those goals and then come up with schedules for
all the resources, whether it's batteries, thermostats, electric vehicles.
Energy Hub maps that evolution through a four-level research project.
It's a project that's been going on for many, many years.
And so we've been working on it.
We've been working on it for several years.
And so we've been working on it for several years.
keeps gas on one side and liquid on the other,
and in our case has a reaction happening in
the middle of it so you know very sensitive piece of technology um that that has to you know last
for tens of thousands of hours and you know no pinhole leaks and uh you know have very high
performance and all sorts of things and and um and so that that's probably the the hardest part
to get right and i'll circle back around to that and then we have sort of a you know sort of
relatively automated but with some humans in loop sort of cell assembly so these are sort of classic
you know welding and uh sort of assembly operations that you would sort of maybe
envision looking at like an automotive type type environment and then the last one is you know very
manual assembly for the complete um integrated sort of systems you know the shipping containers
if you will and that looks more like you know rv style manufacturing so you know human assisted
left um sort of you know getting things in but a lot of wiring and you know connectors and you
know these kinds of things so so very different manufacturing environments and the hardest part
is that first one
right getting getting those electrodes to be performant um at scale at at rates uh with yields
right all these things uh simultaneously and the reason it's hard is because it's a sort of a
compounding goldilocks problem 25 times in a row more or less right so everything's too hot or too
cold or you know uh you know too much mixing or not enough mixing or you know too much pressure
not enough pressure and you know goldilocks is never happy uh you know you got to get you know
nothing is ever just right um but you do in the end of course have to get it just right and
you know i think that's one of the things that's really important to me is that you know
and so you know those are those are sort of the fundamental challenges when you're doing things
at a scale that maybe that chemistry has never been done before because you've never been exposed
to you know those effects of getting up to that scale and you have to sort of relearn things um as
you go and um and so that that was you know sort of the real challenging part initially of of
getting that right um we ended up making more than a hundred thousand electrodes um so these
are meter scale devices uh so hundred you know sixty miles worth of material kind of flowing
through the factories or try and you know put a number on it um and until you gain process control
you can't you can't say you're really done with your battery and uh and so that that's really what
what we had to do um and there aren't any shortcuts either it's either it works or it doesn't
and at that again at the rate with the volume with the yields and you know cost entitlements and and
so there were just a ton of learnings along the way a ton of very systematic designs of experiments
tons of root cause analyses right um and uh and just kind of you know tunneling your way through
the mountain uh so to speak because this is a case where you know you're building you're on a timeline
you want to get the manufacturing up and running presumably you've got you know delivery dates for
customers and things like that how do you think about the decision like did you ever have to
literally sort of pause or freeze everything and kind of do some re-engineering or were you able
to really keep things moving and simultaneously make the engineering
and sort of fundamental changes you needed to make how did you think about that sort of time
trade-off there well let me expand the scope of challenges there for a little bit yeah because
you know while we were working our way through the challenges on the electrode it turns out that the
the sort of system does not sell and system of design was not nearly where it needed to be to
to sort of scale up you know that that first version of the design and and so we we realized
fairly early on that we needed to go fix that and there's just there's a time scale to fixing it and
more by tooling lead time than than you know design validation and then tooling lead time
that's not like can i get the chemistry of the work that's this particular part doesn't work
this way in the manufacturing environment and therefore leads to you know this condition
as a deployed asset we need to fix it let's make sure we go fix it um and and so we were sort of
simultaneously working on both ends of the problem right the electrode manufacturing and then and
then the sort of cell and system design we got the first design to to work and to to prove 119 hours
charge and hit their round trip efficiencies and that kind of thing but it but we also knew that it
was not going to be the version that in the end would be cost entitled that we wanted to scale
uh given all the sort of mitigations and belts and suspenders we had to put in to sort of get it to
that place um so so we were also doing that um so though both of those challenges were sort of on
the same timeline right to to work out all the challenges on the electrodes while we were you
know fixing the system design and making sure that it was really robust um going out okay and so and
ultimately these are kind of like different almost like generic
generations of batteries that you're building right so can you say a bit about sort of where
like how different is where you started i don't know if like the cup size analogy is the relevant
starting point but maybe how different like when you when you like open the factory in 2024 and
you're like we're gonna go build this battery and you have an idea for what it's gonna look like how
different is what you're doing now have a lot of things really fundamentally changed about what
you're building and are they still changing or is it well i would say from like for all the
things that have not changed going sort of through subsequent designs um and that's because once you
get that process control and you really understand the electrochemistry you do not want to change it
right you might keep it you know all the same um the only changes we've made to the to the
electrodes um since we sort of started production was to make them a little bit a slightly different
form factor so that it's in fact easier to manufacture uh but but fundamentally the exact
same material sets the exact same processes the exact same people involved right um
what has changed is sort of how you then take those electrodes and put them in a in a device
how you how you combine them but but the fundamentals of all of the electrochemistry
of an iron air battery are are very much the same um but but sort of the packaging of that
you know all the parts that i mentioned where we already had very high yields um you know from the
cell all the way through the complete system you know making design changes that still keep it
super high yields but but lead to a much more manufacturable and reliable product um
you know once it's deployed and so you know just kind of i'll give you one one sort of example um
you know batteries need to be sealed ours happens to be air breathing so there's some some some ways
that we do a lot of ingress but you do have to sort of have seals and we reduce the amount of
seal path you know from the first design to the second design by more than 75 right if you look at
the connections inside of a complete enclosure we reduce the total number of connections by two
thirds right so you know the just those kinds of things also the different types of connectors that
you even have we we also reduce those by two-thirds right so just like a lot of simplification a lot of
um feedback from the manufacturing process that we went through from from the first time how do you
how do you delete steps how do you delete parts um how do you simplify you know across the board so
while keeping performance and safety and everything else um so those were kind of a lot of the lessons
at the at the i would say cell and above parts of the of the system um but we definitely did not
change the the sort of internal guts of of what makes an iron battery an iron yeah very very cool
okay so let's let's talk for a second actually about time pressure associated with all of this
because so you built the factory itself in a record amount of time it was i think well a
little over a year that it took you to get it built is that right nine nine months nine months
less than a year so um so really incredible but now so you're going through and you're
you're making some of these changes was it were there moments where you got stressed were there
moments where things legitimately took longer than they were than you were expecting did you have to
kind of manage expectations with your financiers or your board or your customers or were you able
to do all of this and kind of keep to a schedule that you were excited about yeah i i'm not sure
i recall actually a time where i don't i'm not sure i remember what it's like to not have stress
sounds about right
uh yeah i guess my only conclusion of that is i guess i like it
that's i i don't really have any other conclusion at this point um uh yeah it yeah incredibly
stressful um to kind of go go through that period um and to have to work through those challenges
and of course you know be be super transparent with with our investors and our board about where
we are and what those challenges are and what we think we need to do about them um uh yeah it's it's
a it's a challenging thing to do um and and especially when you know it's a relatively
large company with a large factory right that the carrying cost of that is extremely high
um and uh and so there's a huge amount of responsibility and burden i think that you
know we the leadership feel and felt um getting through that and you know fortunately you know
i'm part of a team uh overall that you know our response to challenges is to take total
responsibility and ownership and say here's here's where we are um here's what we're going to do about
it and here's here's here's the plan to success and you know our investors support us through that
um and and thankfully you know we're in a much different position today um but it was you know
two-ish years of you know working in the salt mines a little bit um and uh and so that was
yeah super challenging but um i don't i'm not sure there's another way i mean in retrospect are there
things i wish we had done differently absolutely you know a thousand percent um were we perfect
definitely not um at the same time you know when we started the company we thought the probability
of success was fairly low like go invent a new type of battery that is going to solve the multi-day
duration problem uh okay that that sounds amazing uh there is no risk-free version of that right
in fact it's a high risk proposition almost almost by definition through every single stage that
we've been through so you know that it's part and parcel and like these are venture investors who who
know and understand you know risks and risk in a complex way that that most folks don't
um and that doesn't make it any easier to sort of you know get through that
you know especially in your when you're in the thick of things are
there a couple of people on your team that were incredibly critical hires? As you're giving advice
to other companies who are entering this phase, what are the things that you did to get the right
people and right interactions among people in place in order to be successful? Yeah, I think
if there's one area in particular that we should have leaned on earlier, looking back at the
retrospectives, what could we have done better? I think we certainly could have brought a much
more robust manufacturing mindset to the design engineering work much earlier. And that's hard.
You know, design for engineering is, you know, or design for manufacturing, rather. That's the
whole point, right? So, you know, there is no just like design for aesthetics or design for design
purity's sake, right? Like that doesn't, there's no point to that, right? We're not trying to win,
you know, beauty contests here. We're trying to win functional cost contests.
That's what we're trying to win. And, you know, we could, I could have done a better job
early on bringing in, you know, that mindset part and parcel of the design exercise. And,
you know, I mentioned we were an R&D company. We added engineering with them. We sort of added
manufacturing. And in fact, it needs to be much more integrated than that. You know, as you go
at every step, it is never too early to really rigorously probe and test, you know, the design
process and push back on design from a manufacturing standpoint. Precisely because the only thing
that matters in the end is the manufactured product. Like that's the thing. And so we could
have, should have done that, I would say, more early or earlier in the process in a really
integrated way. And so, you know, that's overwhelming, sort of my, overwhelmingly my
advice to the extent I give it, you know, on these topics is ensure that the design process is
that you're thinking all the way through, you know, to the manufactured product in a factory
with actual machine sets that make things and a vendor base that can support it, right? With
material sets that support it, you know, with designs that can be made on tooling that is six
weeks, not 28 weeks. And, you know, like all of those things, right, are critical to sort of
surviving that, okay, go, go figure out how to make it phase of things.
Okay. Let's talk about the financing for a second. How did you finance this plan to get it built?
Because it is no joke getting the funding to do something like this.
Yeah. So we, when we were looking at where to go for, for the factory part, the reason we are in
West Virginia is because the state provided $290 million of financing in exchange for 750 jobs by
the end of 2028. That let us go, go build the building and stand things up from scratch there.
We could have gone to a cheaper, lower risk option there, just rented a building and sort of deal
with whatever legacy type infrastructure you're dealing with there. We love that site for a lot of
reasons that I, that I mentioned. And we liked the idea of sort of building our own factory if we
could, right? We didn't want to pay for it with equity, but, but, but given the support of the
state, we were able to go do that. And additionally, we won a $150 million grant from the
Department of Energy in the US for the CapEx equipment. So scaling up the manufacturing
equipment. This is out of the manufacturing and energy supply grants that, that we're going to be
paying for, that we're part of the infrastructure bill. And, and so we're very actively invoicing on
that project and scaling it up here. And then of course we do need to use equity dollars to finance
beyond that because it doesn't, doesn't pay for everything. And so it's, it's a combination of,
of those things. We have some equipment financing debt, but it's not a huge piece of it.
Okay. So really big on the government grants. Were there any moments where you were nervous about the
status of those government grants or have they been pretty stable, especially given your manufacturing focus?
In the administration, of course, every grant was reviewed. And we always had a very,
have always had a very strong open line of communication with the Department of Energy and,
and then built one with the White House. So, so we didn't, you know, and we knew that,
that we were supported there. So we were just sort of wanting to let them get through their,
their own reviews, but in the end, yeah, none of our grants were affected. So,
yeah, I think that speaks to the acknowledgement, broadly speaking, that many,
many companies are manufacturing energy storage out of, you know, 85% domestic contents, you know, batteries, you know, for electric grid reliability and affordability and load growth. It's generally a good thing. And, and it can be supported by, you know, any politician of any stripe.
Yes. And with really incredible results, which is so exciting. Okay. Let's change gears a little bit because you all are also a little bit becoming an AI company. And it's so fun to say that because the first thing that pops into my head is like, oh yeah, it's like all birds, you know, you manufacture, you build, you build, you build.
You're manufacturing shoes. Now you're manufacturing AI. That's not exactly how it's working for you all though. And one of the things I love about this story is that it's not just about like creating AI models or trying to sell things in an AI market. It's about actually using the results of the, of the AI work that you're doing. So can you say a bit about how you're incorporating AI, what it's doing for you at this stage?
Yeah. More than of course, AI data center demand driving, you know, our own growth, you know, the demand for our product. We are heavy users of the tools.
We are heavy users of the tools themselves, maybe no surprise. And, and of course, like in all the typical corporate ways that you would expect to, you know, have efficiency for information retrieval and, you know, that kind of thing. But, but being, being a company that has a very core function of material science discovery and innovation, we found that the, that the models now are, are quite capable in a way that we didn't expect maybe a year ago, I would say. We sort of, around that time, we sort of noticed a step function of the capabilities.
there. Again, led by Marco Ferrara, who originally built those models that, that helped us sort of, you know, understand this, this space from a value perspective. And, and so now those, those are being very actively implemented in the discovery process and in the improvement process. And, and specifically, you know, we have built our own physics based models of, of each of the electrodes and then of the entire system for some time. And inevitably, when you build physics, you know, multi-physical models,
of, of electrochemistry somewhere doesn't correspond to the empirical results that you have, right? That, that's just sort of, you know, an accepted truth that's out there. And, and what the models now are able to do is propose designs of experiments that help collapse that gap between the prediction of the multi-physical models and the empirical results, which we have started to utilize to great effect. And so that, that collapse means that you can actually have a mechanistic
understanding of what's happening in a way that lets you drive performance forward because it now suggests new ways to, to really control the electrochemistry. And so, you know, we were noting a real acceleration here. I mean, quite, quite literally, we sort of were able to do things on electrochemistry in a few days that previously would have taken us a few months. And, and so, you know, the acceleration is, is really starting to, to pick up here. And, and as everybody I think is generally aware, you know, the world is segmenting out into sort of data halves.
And as it happens, we, we happen to have the world's most robust data set on iron air chemistry and tens of millions of operating hours, you know, going, going back nine years now. And, and so that, that data set is now starting to sort of provide its own benefits to the sort of acceleration of, you know, what is possible, frankly, with this electrochemistry. And I would say that we definitively can say right now, the frontiers are not clearly, you know, laid out in front of us. There's, we're, we're able to push very, very far.
This is so cool. I really love this piece of the story because I feel like there, to be honest, from my perspective, there are so few concrete examples of AI really driving incredible value, particularly in a way that affects the things that you and I care about, like greenhouse gas emissions reduction. So this is, but this is it. This is something that like, it's actually tangibly helping you all get where you need to go. So do you think that this is, this is going to be sort of a continued feature of the company's operational existence? Like, do you imagine a world where you're really continuously improving?
And relying on these AI tools? Or do you think it's like, the AI is going to help you answer a set of questions, and then you're going to really have your sort of optimized battery and hold the design relatively still at that point and kind of move forward?
I think it's going to continue to really be able to drive, you know, the notion of what's possible. Just a quick brag on the team real fast. Today, we discovered something that humanity did not know about iron oxidation previously, sort of in the discovery of this. And I can't get into too many more details. But that's pretty astounding, right? Humans have been sort of pretty deeply immersed about iron and oxidation of iron for a very long time. And so we actually are. And the reason we knew that is because we were getting
results of, of accessibility of iron, so milliamp hours per gram, sort of the per unit of iron, how much energy can get in and out, that was higher than the predicted theoretical limit of what you could get for that reaction. So we sort of said, well, something is not, you know, right here, according to what we think we know. And we when we go figure it when we went and figure it out, turned out that we had, you know, done something that had never been observed before. So, you know, those kinds of things, I think, will continue to
be true about this chemistry. And there's still just, you know, a wonderfully
large amount of innovation still to be had on Iron Air, frankly.
So I just got goosebumps, which I'll tell you probably more than anything what a huge
nerd I am.
That is so unbelievably cool.
I don't know if it can be overstated how amazing that is, because I think one of the
truisms in the world that we live in is we've always kind of framed out this tension between
basic science and sort of applied problem-solving technology development.
And what you just described is turning that entire paradigm on its head, where here you
are, you're a company, you're solving something really specific, you're operating in a business
environment, and the tools that you're using are enabling you to make scientific discoveries.
That's pretty wild, actually.
Yeah, it's a super exciting time, I think, overall.
Very cool.
Okay, well, I'm going to ask my standard final question to you now, Mateo.
You've all raised a lot of money, so this isn't going to be as life-changing for you.
But if I had $100 million and could wire it into your bank account at your company tomorrow,
what would it be?
What would you do with it?
What would I do with it?
I would put it to scaling up as fast as we possibly can, which is what we're currently
doing, but do it even faster.
Yes, faster is always better.
I love it.
Mateo, thank you so much for joining me on the show.
This has been a great conversation.
So cool to hear about your scaling journey and all the things that you've accomplished
in a very short time.
Really appreciate it.
Thanks, Laura.
It's great to chat with you, as always.
Thank you.
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This is The Green Blueprint, a show about the architects of the clean energy economy.
Podcast Summary
Key Points:
Form Energy is commercializing iron-air batteries for long-duration grid storage, solving the need for multi-day energy storage at a lower cost than lithium-ion.
The company’s technology, which rusts and unrusts iron, uses abundant and low-cost materials, enabling a potential cost of $20 per kWh and a 100+ hour duration.
Form built a 1 million-square-foot factory in West Virginia from scratch, driven by a need for full control over manufacturing, supply chain, and innovation at scale.
Manufacturing scale-up, especially electrode production, was the most challenging phase, requiring iterative design, process control, and deep integration of manufacturing into engineering.
AI and machine learning are now central to Form’s R&D, accelerating material science discovery and enabling breakthroughs like previously unknown iron oxidation behaviors.
The company secured significant government grants and private funding, including a $750 million Series G round, to support manufacturing and scale.
The business model centers on replacing gas peaker plants with electric "e-peakers," offering reliability, lower emissions, and cost efficiency across diverse grid conditions.
Form’s journey highlights that successful clean energy tech requires deep integration of design, manufacturing, and data—where AI enables both efficiency and scientific discovery.
Summary:
Form Energy is pioneering long-duration energy storage through iron-air batteries that can provide up to 100 hours of discharge at a fraction of lithium-ion’s cost. The company’s technology, which relies on rusting and unrusting iron—an abundant and low-cost material—offers a transformative solution for grid reliability, especially during multi-day weather events or peak demand. After years of R&D, Form built its first 1 million-square-foot manufacturing facility in West Virginia, a decision driven by the need for full control over design, materials, and production at scale.
The manufacturing journey was intensely challenging, particularly in achieving consistent electrode performance under complex process conditions, requiring iterative design, root-cause analysis, and rigorous process control. Throughout, Form integrated AI and machine learning into its operations, using vast operational datasets to accelerate material science innovation and discover previously unknown behaviors in iron oxidation. This not only improved performance but enabled real scientific breakthroughs.
S. Department of Energy grants, to scale production and meet growing utility demand. Form’s approach—combining low-cost chemistry, end-to-end manufacturing control, and AI-driven innovation—represents a blueprint for other clean energy ventures, demonstrating that technical success in hard tech demands deep integration between design, manufacturing, and data science.
With its e-peaker technology, Form is poised to reshape grid energy reliability while reducing emissions and costs, offering a scalable, domestic alternative to fossil-based peaker plants.
FAQs
Form Energy is solving the need for long-duration, low-cost energy storage that can compete with gas peaker plants, which currently dominate grid reliability. Its iron-air batteries offer 100+ hour discharge durations at a much lower cost than lithium-ion batteries.
Form Energy's batteries work by oxidizing and reducing iron—essentially rusting and unrusting it—using air as the oxygen source. This process leverages iron, the most abundant and cheapest material on Earth, to create a low-cost, scalable energy storage solution.
Form Energy chose U.S. manufacturing to avoid relying on an existing supply chain for a new battery chemistry, maintain full control over design and production, and accelerate learning cycles by having everything on-site for faster iteration and problem-solving.
The biggest challenges were scaling up electrode manufacturing to meet performance, yield, and cost targets. The process required precise control over temperature, pressure, mixing, and materials, creating a complex 'Goldilocks' problem that demanded extensive testing and process optimization.
Form Energy uses AI tools to accelerate material science discovery, propose experimental designs, and reduce the gap between theoretical models and real-world performance. It has also led to unexpected scientific discoveries, like new insights into iron oxidation behavior.
Form Energy operates a 1 million square foot factory in Weirton, West Virginia, where it produces large-scale iron-air batteries for grid applications. The factory began operations in 2024 and is currently operating about half of its total capacity.
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