Microsoft-backed UK tech unicorn Builder.ai collapses into insolvency
145 comments
·May 24, 2025nikcub
Following the public reporting timeline of builder.ai lays out a fascinating story akin to Theranos or Wework. I'm sure we'll get an exhaustive account of exactly what happen in due course, and there will likely be other such cases that come out of the most recent AI investing boom.
Aug 2019 - WSJ report that for builder.ai the "AI" means "Actually people in India"
https://www.wsj.com/articles/ai-startup-boom-raises-question...
FT pick up the trail over a year ago with a series of reports:
Mar 2024 - Men behind builder.ai named in criminal probe
https://www.ft.com/content/7ff3c5fc-e390-4ca8-9c7d-11fd56ab7...
Mar 2024 - The wild ride of a Microsoft-backed tech unicorn
This is a full detailed profile of the CEO and the company detailing their wild spending and fundraising details:
https://www.ft.com/content/11afc46c-b435-489d-a9f1-134ad0c00...
It all falls apart after that report:
May 2024 - CEO steps down
https://www.ft.com/content/f8882c90-ef69-4a62-aecf-9d3725aca...
May 2024 - builder.ai finds auditor had links to previous CEO:
https://www.ft.com/content/26c98590-e8f9-4cd9-83d6-db0d25ad2...
Apr 2025 - builder.ai restates revenues and hires outside auditors to investigate inflated sales
https://www.bloomberg.com/news/articles/2025-03-31/microsoft...
and this week they folded. The website was up 48 hours ago last I checked, but has now been taken down.
empiko
We will see more and more AI startups running out of money soon. I know of a handful of similar 100m+ raised companies that have no product to speak of and are just cruising towards their end.
imiric
Hopefully it's a sign of the bubble starting to pop. This is the same situation we had in the late 90s with the dot-com bubble. Many companies built on hype with lackluster products. So much so that it became a meme with zombo.com. We need an AI-bubble equivalent parody product.
stephenr
Don't be silly. Just because the Crypto/Blockchain promises of grandeur turned out to be mostly nothing, and the "fuck regulation, we are all the <hotel, taxi driver, you name it>" "gig economy" companies are losing customers as they show their true colours, and the AI bubble starts to burst, that doesn't mean that over-hyped niche "technologies" can't rake in millions of some poor VC investors money.
It just requires lateral thought.
Pay the completely untrained gig-workers peanuts to review AI written code to create a universal blockchain "bank without borders". I mean what could possibly go wrong?
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imiric
To push back at your obvious facetiousness, I do think that both cryptocurrencies and machine learning are very powerful and useful technologies. Underneath the scammers, grifters and investors that jump on the hype train for their get-rich-quick schemes, and the general public that falls for it and fuels the hype train, both technologies have solid reasons for existing, and can be generally very useful to humanity.
So I reject the notion of throwing the baby out with the bath water as much as the hype bubble around them.
What we do need, as with any novel technology, is oversight and regulation. Which is difficult this time around when the grifters are also the ones in power.
voidfunc
Anything is possible at ZomboCom, You can do anything at ZomboCom.
Seems to be covered already!
bluefirebrand
Oh man, I forgot about ZomboCom
You're right. It would be a prime time to launch ZombAI
Xmd5a
Still up!
einsteinx2
I feel like we’ve had two already with the Rabbit R1 and Humane AI Pin. So many company got funded with obscene amounts of money though, so I think we still have dozens more coming soon. Though I imagine a lot of them will be quieter failures having not even gotten to a product launch yet.
imiric
I don't think those are good examples, though. They were just ahead of their time, and poorly implemented. But an AI assistant that's accurate, immediately available, easier to use than a smartphone app, with better ergonomics, that integrates with other services ("agentic"), etc., is a billion-dollar idea. Someone will eventually crack this problem and produce a product that everyone will want. Just like Apple did with the iPhone, it will take a few years of lackluster products to get there. It's a matter of the tech getting good enough, affordable enough, and for someone to put the pieces together in the right package.
rsynnott
Those were special cases in that they were both AI startups and hardware startups, so double the doomed.
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datavirtue
Why does everyone always want the bubble to pop?
bluefirebrand
I want the bubble to pop so we can start figuring out how to use LLMs in an actual productive way instead of just trying desperately to bolt them into every workflow because we're chasing the hype
6stringmerc
When the dominoes start to fall, perhaps it’d be helpful to post a public list of existing / existed AI firms with brief descriptions, timespan of operation, capital / investments publicly known, and give a reference point for historical sake. The startup sector being quite diverse, one specifically for AI could be interesting…as in context for all the “problems” and “benefits” AI was going to solve but failed and burned money in the process.
InsideOutSanta
Somebody needs to bring back Fucked Company for AI companies.
jsheard
Can we bring back Webshit Weekly while we're at it? RIP n-gate, you would have loved talking shit about AI companies.
airstrike
Might as well start building that list here
Arkhadia
[dead]
ljm
I interviewed with them a fair while back and noped out as soon as they told me their ‘tech leads’ were typically assigned to handling 15 or 16 projects at a time for around £70-80k a year. Interviewed an ex senior engineer of theirs who was still junior/mid really.
By all accounts it looked like another web dev sweatshop and it just used AI as bait.
Decided to just step back from it all. Most AI startups are all talk and no action. Long hours and weekends with nothing to show for it.
nyarlathotep_
This is my "hot take" as well.
My genuine question--outside of programming-related use-cases (which are remarkable), what has come out of the generative AI "boom" that's a profitable product, or has a viable path to profitability?
What "business transformation" has happened in the private sector as a result of "agents" or whatever? What companies look promising (don't say another VSC fork)?
dannersy
None. No one is making money off of AI except for Nvidia.
Even if there are use cases, all of them are operating at extreme losses. As someone else said, maybe throw away video content? But I suspect that the providers are burning piles of cash to maintain users which is true for all AI driven products.
epolanski
I don't know how much do I agree.
I mean, I'm a software developer and we have AI tools that we use, maybe not customer facing, but we have internal tools that provide lots of value.
Random example #1: we regularly scrape our competitors for their prices and offers, but it's insane to maintain all of that because our competitors update their pages/dom frequently so this doesn't scale over dozens of competitors and thousands of products. We replaced thousands of Playwright scraping code with few hundreds of lines of instructions for an LLM to find the information on the pages itself (it can figure out where/what is).
Random example #2: we sell some products that require lots of customer care and instructions as we're in the home maintenance business and sometimes there are questions about products and their installations that are extremely specific and we do have a chat and call center for our customers to assist them. What our customer care reps do is that they need to find and combine information often from multiple hundreds-page long PDFs. Thus we built an OCR+Rag pipeline to assist our customer care reps. This has provided tremendous value and cut our costs by a lot. It also has the potential to replace them completely and move them to other tasks, but it's gonna be a long time before we can really trust an LLM for that. The risks of giving incorrect or wrong information is too great right now. But internally customer care reps can double check the information as the LLM points out the original pdf sources (up to the specific line).
On top of that I'd say that there's also other tools that both make money and help us, such as AI in creative software like Adobe tools. Some of our graphic experts said that this speeds them up a lot, we need to produce or edit tons of images, illustrations, etc for our products.
And those are just few random examples of how AI definitely can speed up and improve margins of our company, while making cloud and saas vendors money too.
hiq
A lot more customer support seems to be handled by chat bots these days. For support that has migrated from humans to chatbots, I assume it's a poorer but cheaper implementation. For support that has migrated from older chatbots (that seemed to base their answers on regexes or some weird branching logic), maybe it's an improvement?
I'm not into this space, but I also assume that translation work is moving from a writing to an editing job, since an LLM can do that pretty well. I just had an LLM correcting my German mistakes for an email I had to send today.
I'm also not sure that profitability is relevant just yet, as inference costs keep going down. Programming-related use-cases do encompass a lot of why GenAI is useful, simply because they make anyone able to write their mothertongue a programmer. It's fine if LLM-based products bootstrap with high-margin industries like tech, and move into thinner margin ones as costs go down. Of course I'm also not saying the current valuations and hype are justified (I don't know).
sameermanek
I think veo and other generative video startups will find their place in advertisement space. I recently saw a pharma ad and its so convincing. Apparently it was generated with just $500 credit, and i know that this price will have to go up multi folds for it to be profitable but given that these ads cost 100s of thousands to make in 1 language, I dont think we have anything against making ads with AI if they save us so much money and can generate same ad in multiple languages.
ludicrousdispla
so many AI chatbots could be easily replaced with links to navigable documentation
skydhash
Or just a proper sitemap.
nssnsjsjsjs
Problem with AI startup Ps is most have to lose. Open AI or cursor making a great product means this one becomes irrelevant.
oldpersonintx2
isn't this normal for any new emerging market?
mahirsaid
Depends! but Their selling the coming to investors on hopes of reinviting something that is already there. The data they're using isn't owned by them. All of these " unicorn " wanna be's are wasting investors money. This will be the norm for the upcoming years. Regulations are driving these AI companies to divert their efforts to something less substantial. First regulations has to be aligned with the goals of tech and see where this direction will head.
binary132
I think a lot of startups are not really built with winning in mind but are more like a VC grift or even just a way for “serial entrepreneurs” to keep themselves busy and paid.
krona
From earlier this year:
> A partner at accounting firm PKF Littlejohn signed off the UK accounts of the artificial intelligence start-up, despite having previously served as a director of another company also set up by Builder.ai’s founder, Sachin Dev Duggal, according to a review of hundreds of filings analysed by the Financial Times.
ixaxaar
I wonder how many of these hype-chasing AI founders are going to take the path of self-enrichment while capitulating their startups when they get exhausted of searching for a moat.
blitzar
I wonder how many of these hype-chasing AI founders are NOT going to take the path of self-enrichment while capitulating their startups when they get exhausted of pretending to build something.
moron4hire
How do I get into this game? Take a bunch of VC money, pay myself a hefty salary, don't give a damn about my employees if the whole thing goes bust. Must be nice, not having principles.
7952
And there are already so many companies with an existing moat that could go into this space with their existing user base.
diggan
> of these hype-chasing AI founders [...]
I mean, if you qualify that question like that, then probably closer to 100%.
What would be more interesting to know, is how many AI founders starts out as "not hype-chasing", but end up self-enriching/capitulate their startups regardless, basically turning into it rather than starting out like that.
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epolanski
Not sure why would the AI part make the difference with other founders.
maccard
I don’t think this is necessarily as sinister as you say - another way to right that paragraph is “successful accountant who has a history with AI companies does accounting”
zpeti
Absolutely baffles me how you can blow $500m on a website builder without anyone noticing.
What the hell happened? Unless it was an actual defrauding of investors, but how were the investors so stupid?
lm28469
Some people have so much money they don't mind investing 10-100m here and there in the hope of making a 10x return. Greed and hype explains a lot of the juicero type of investments.
It says a lot when public services are deteriorating pretty much everywhere while investors blow hundred millions on fruit pressing machines and LLM wrappers
bojan
The public services are deteriorating because that's what the people are voting for.
AJRF
What do you mean by this? Do you mean in the UK, where this company was based.
How are UK citizens voting for deteriorating services?
lm28469
Could that be because 99% of mass medias who make or break politicians are owned by a small elite of hardcore capitalists who have their own interests in mind?
Democracy isn't just about showing up every few years and putting a name in a ballot, it's a framework that requires a whole bunch of other things. A lot of EU countries and the US are getting closer and closer to oligarchies
bandoti
I agree I mean what about all the teachers and the long term impact they have on society? A “little hundred mil” could go a long way.
But, that aside, since I’m just getting into the Lean Startup:
In chapter 12—startups typically need Scarce but Secure Resources:
“too much budget is as harmful as too little—as countless dot-com failures can attest—…”
I suppose this falls under case-and-point. They had too much money and blurring the lines between real customers and early adopters. This whole thing could have probably been figured out for a couple mil I’d imagine (though I’m no expert).
lelanthran
It's not "case and point". It's case in point.
_fizz_buzz_
How can I talk to those people? I have a business that is profitable, but small. And I find it difficult to talk to investors.
CSMastermind
Do you have a plausible path to 10x+ing tens of millions in capital?
Ultimately the business of VC means that you're dealing with people how have a high risk tolerance but need the potential high payout to balance their risk.
If you have a sustainable, profitable, but small business that needs capital to expand, but likely won't grow significantly, you're better off talking to a family office or individual investors. I'd avoid banks if you can help it.
If you actually do think you have a plausible VC investment then it's a game of networking. Go through every person you know and look for someone who knows someone who can give you an introduction. If all else fails there's cold outreach but those can be difficult. You might need to bring on a partner who can handle that side of things if it's critical to your business.
UK-AL
Did you go to same university, the same clubs?
Have a look at lot of founders on linkedin. You'll notice a lot go to the same small set of universities, or worked for same companies. Then there's the odd exception. But they're the exception.
Its silly to think talent is actually that concentrated.
I think everybody knows why some people can get investment to literally throw down the drain on insane moon shots, while others struggle to even survive. I'm sure lots of people have moonshot ideas that might work. Only a very small in group get investment.
rchaud
If you're already profitable, these types of investors will not be interested. They are looking for companies they can take public at massively inflated valuations based on growth projections totally removed from economic reality.
chrismustcode
The orgs investing millions usually aren’t looking to invest small or even profitable most the time.
If there’s a good growth story contact people who write smaller checks who would also be interested in using the product.
csallen
If your networking skills and levels of resourcefulness are such that you're asking random people on HN how to talk to investors, it's very unlikely that any of these investors will invest in you. So the answer is to invest heavily in improving at those two areas.
chairmansteve
Also, some may hope to sell to a greater fool. Which works a lot of the time.
mattlondon
Perhaps they blew it all on "research" and GPU costs?
The current Gemini canvas implementation is pretty wild and can create you an app or website very very easily. Not as easy as ordering a pizza sure, but still even with just a few iterations you have something truly decent. Occasionally you luck out and the "one shot" is precisely what you want, but that typically requires an extensive prompt so you're beyond pizza range then.
Perhaps they were just too ahead of their time in that regard... But then if they'd waited then Google and OpenAi and Anthropic would have just eaten their lunch anyway (provided Claude was not too busy blackmailing you anyway!)
thw09j9m
nah
https://www.theverge.com/2019/8/14/20805676/engineer-ai-arti...
(same company, before rebranding to builder.ai)
mattlondon
I mean it's kinda amazing, this was just in 2019 that this company was basically lying about being able to do this to get investment, yet now I can actually do it myself, right now, for free*. Incredible - where will we be in another 5 years?!!!
* - with AIStudio at least...
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benbojangles
If you look at some youtube videos of Sachin Duggal over the last year he is draped in lvmh labels, the finest tailoring, super expensive turkey teeth, and doing news interviews from expensive Dubai suites. My guess is he will make those things his mainstay from now on. I notice a common theme in dodgy ceo's; they all do the carrying-an-invisible-ball thing with their hands when they are presenting.
rsynnott
I mean, have you not been paying attention to the current AI bubble? Hundreds of billions are being blown on all manner of implausible nonsense.
spamizbad
Even a financially responsible (and I’m not suggesting Builder.ai is one of these) company in the AI space is going to be significantly more capital intensive than your typical SaaS startup, and I suspect are fundamentally more challenging to operate.
mtkd
SaaS companies tended to need material engineering resource due to the software stacks and squad-style team structures in place -- also leaned heavily on costly metered infra
I'm not seeing anything like the same level of heads or stack complexity in this wave (Vercel, Firebase etc.), and the vendors involved get cheaper every day ... along with increasing ability to run models locally with no metered costs at all
spamizbad
If you're in the AI space you need roughly the same infrastructure as any other SaaS PLUS your LLM costs. Take a look at AWS Bedrock costs [1] and you'll soon realize your costs can escalate rapidly unlike traditional SaaS infra which is easier (er, less difficult) to predict costs.
maccard
The dirty secret of an awful lot of these LLM SAAS companies is that AWS are giving them tens of thousands of dollars to bootstrap, which they are paid back for with 8 figure investments from VCs. Anyone who is putting their own money on the line for anything other than the very first $100 or so for a PoC is being conned.
aerhardt
How?
Now you need to deal with all the traditional infra, plus a bunch of specific infra dealing with LLM apps, even if you’re just a wrapper using vendor APIs.
How are things in any way simplified? I only see more layers of complexity.
gchamonlive
Look at all the great unsustainable AI applications we're never going to be able to use.
I think the big and juicy AI applications are just so that GPUs can go brrrr[1]. Just gimmicks.
Real and useful applications will come from SLM that can be run on SoC like phones or Raspberry PIs and LLMs optimized to run on consumer grade hardware like the 3060s, not with those models that require multimillion dollar setups to be able to run.
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dxdm
I, as a human, enjoyed the flavor of this phrase, and I applaud this stylistic choice.
deathsentience
You mean talk like an ai?
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justinbaker84
It is dissapointing to see how frequently VCs invest hundreds of millions of dollars into fraudulent companies. This is very different from investing in legit companies that don't work.
It often seems like you are more likely to raise VC by being a fraud than by being a responsible person who wants to do something positive in this world.
blitzar
> It often seems like you are more likely to raise VC by being a fraud than by being a responsible person who wants to do something positive in this world.
You can't 10x - 100x and get an exit on a responsible person who wants to do something positive in this world.
chuckadams
The ironic thing is, if Builder.ai were a younger company, they might have been a success through the unorthodox expedient of actually using AI for real. Maybe they were forward-looking -- we had "machine learning" then that was making some inroads -- but when you use foresight to make more plausible what is still a fraud today, it's ... well, still a fraud. Someone will build Theranos's mythical diagnostic robot someday too, doesn't mean it isn't fiction now.
benbojangles
Read about so many companies here in the UK that setup, claim huge success, max out loans and debts, then either fold/disappear or float on fraudulently inflated share prices, owner sells all their shares, then the company share price crashes. Happens all the time now, sadly, since the UK's welcome doors opened wide. This system runs deep here, laundering with barber shops, american candy stores, made up corporations, crypto fraud, carousel fraud, corporate fraud. It makes me sad, because I know I will never get a chance to build a business successfully and honestly here after all this damage is done.
datavirtue
Now the M&M store makes sense.
rorylawless
The M&M store is the only legit business in London.
greatgib
Builder.ai was then able to raise $75mn from some of its existing shareholders to try to fix its balance sheet, according to two people familiar with its finances.
I'm just trying to imagine the kind of funds or investor for who 75m dollars is just a comma in a report and that can give them so easily despite the obvious high probability to lose it.kwillets
The UK has cemented its place in tech as the land without Sarbanes-Oxley.
benbojangles
It's true.
https://archive.ph/T5ean