A release is a promise to the people who build on it.
AI helps us move faster, but we still design, write and review code, test difficult datasets, and take responsibility for what ships.
In geospatial software, a silent error can travel through an entire pipeline before anyone notices. The cost lands with someone who trusted the output.
That’s why the work behind these results matters to me. Generating code is getting cheaper. Earning and keeping people’s trust still takes engineering.
AI accelerates implementation. Engineering earns trust.
We tested Bitruvius Spatial Engine against tuned GDAL and terrio: speed, memory, pixels and metadata.
A faster wrong answer is still wrong.
See the results: bitruvius.com/blog/engineere…
After more than a year of development, we’re finally putting Spatial Engine into the hands of early technology partners.
The performance is exciting. The opportunity to fundamentally change the economics of spatial computing is even bigger.
Imagery is just the beginning. 🚀
🚀 Introducing Bitruvius Spatial Engine.
Up to 9.39× faster than GDAL, with over 90% lower peak memory usage in selected benchmarks.
Less infrastructure. Faster processing. Lower costs.
Limited private beta now open to select partners.
bitruvius.com/blog/unveiling…
Geoff Taylor retweeted
You don’t need a ChatGPT or Claude subscription anymore just ask your coding questions to America dot gov
Today we’re launching America.gov, a single front door to the federal government.
Instead of opening a bunch of tabs across different agency sites and trying to figure out which information actually matters to you, you can ask America a question and get the relevant answer from across 29,000+ official government websites, with the source and what to do next.
Over a month ago we launched the Bitruvius SDK for MapLibre in public beta.
The ask was simple. Throw real OGC 3D Tiles and OGC I3S at it. Weird CRS. Ugly LiDAR. BIM. Splats. Photogrammetry. The stuff that never makes the launch video.
You did. The feedback has been sharp and generous. And one theme keeps coming back: loading feels turbocharged. Bitruvius optimized codecs have been making a visible difference on real datasets.
Thank you.
Public beta is still open. Keep sending the edge cases.
The Bitruvius SDK for MapLibre GL JS is now in Public Beta.
3D Tiles + I3S, automatically aligned to terrain, with high-performance Rust/WASM codecs underneath.
Free to use.
bitruvius.com/blog/bitruvius…
Geoff Taylor retweeted
We are excited to announce that World Labs is joining @AMD.
The research and technical breakthroughs we have achieved since our founding in 2024 have given us a clear vision for AI’s potential to solve problems in the spatial and physical world.
Accelerating the future of spatial and physical intelligence requires scaling our efforts, scaling our reach, and getting closer to the hardware.
Geoff Taylor retweeted
Wow - @pmarca called this three years ago.
TL/DR every bad regulation has a plausible sounding moral cover story—and a secret industrial interest that stands to benefit
Regulatory capture is evil.
Replying to @pmarca
The Baptists And Bootleggers Of AI
Economists have observed a longstanding pattern in reform movements of this kind. The actors within movements like these fall into two categories – “Baptists” and “Bootleggers” – drawing on the historical example of the prohibition of alcohol in the United States in the 1920’s:
“Baptists” are the true believer social reformers who legitimately feel – deeply and emotionally, if not rationally – that new restrictions, regulations, and laws are required to prevent societal disaster. For alcohol prohibition, these actors were often literally devout Christians who felt that alcohol was destroying the moral fabric of society. For AI risk, these actors are true believers that AI presents one or another existential risks – strap them to a polygraph, they really mean it.
“Bootleggers” are the self-interested opportunists who stand to financially profit by the imposition of new restrictions, regulations, and laws that insulate them from competitors. For alcohol prohibition, these were the literal bootleggers who made a fortune selling illicit alcohol to Americans when legitimate alcohol sales were banned. For AI risk, these are CEOs who stand to make more money if regulatory barriers are erected that form a cartel of government-blessed AI vendors protected from new startup and open source competition – the software version of “too big to fail” banks.
A cynic would suggest that some of the apparent Baptists are also Bootleggers – specifically the ones paid to attack AI by their universities, think tanks, activist groups, and media outlets. If you are paid a salary or receive grants to foster AI panic…you are probably a Bootlegger.
The problem with the Bootleggers is that they win. The Baptists are naive ideologues, the Bootleggers are cynical operators, and so the result of reform movements like these is often that the Bootleggers get what they want – regulatory capture, insulation from competition, the formation of a cartel – and the Baptists are left wondering where their drive for social improvement went so wrong.
We just lived through a stunning example of this – banking reform after the 2008 global financial crisis. The Baptists told us that we needed new laws and regulations to break up the “too big to fail” banks to prevent such a crisis from ever happening again. So Congress passed the Dodd-Frank Act of 2010, which was marketed as satisfying the Baptists’ goal, but in reality was coopted by the Bootleggers – the big banks. The result is that the same banks that were “too big to fail” in 2008 are much, much larger now.
So in practice, even when the Baptists are genuine – and even when the Baptists are right – they are used as cover by manipulative and venal Bootleggers to benefit themselves.
And this is what is happening in the drive for AI regulation right now.
However, it isn’t sufficient to simply identify the actors and impugn their motives. We should consider the arguments of both the Baptists and the Bootleggers on their merits.
Geoff Taylor retweeted
The AI safety nonprofits around Anthropic promote an Anthropic-aligned Doomer narrative, whether Tarbell Fellows in popular media, or METR in evaluations.
All rely on Moskovitz's Anthropic stock worth $7 billion, which the parent funding org sits on.
This stock increases in value if Anthropic grows; many of these orgs claim independence from Anthropic, but none of them are, because of their funding lineage through Moskovitz's stock -- not to mention the frontier lab monoculture.
The Anthropic-aligned nonprofits are journalistic and regulatory facades to promote AI Doomerism, which promotes bigger IPOs and regulatory capture, presumably by, e.g. METR, which Anthropic controls through its funding funnels.
The more Anthropic succeeds, the more the AI Doom narrative expands through these orgs, because more money means more funding for AI Doom. It is an organically self-amplifying machine.
Anthropic promotes the problem -- AI Doom -- and promotes itself as the solution -- AI Safety -- which means control of regulation by Anthropic.
AI Doom is now deafening and will become louder the more financial success Anthropic has.
China is more optimistic about AI than America because it doesn't have Anthropic.
The system is structured as a self-amplifying regulatory capture machine. Anthropic couldn't stop itself, even if it wanted.
I have conducted an audit of Anthropic's finances.
What I have found is so shocking that I am calling for a Congressional investigation.
Anthropic is not just seeking regulatory capture.
It has built a regulatory capture machine that cannot be turned off.
Structural financial incentives make it impossible for Anthropic -- I call it the Anthropic Network -- to turn off its own AI doom cycle.
It starts with METR.
Dario Amodei proposes "third-party evaluators" to assess the risk of Anthropic's models.
He proposes METR for this purpose.
But METR is financially dependent on the Anthropic's success -- specifically, on the explosive growth of more than $7 billion dollars in Anthropic stock.
Dustin Moskovitz invested this stock into Good Ventures Foundation, where it represents the majority of that organization's portfolio.
And GVF is the overwhelming funder of the entire Anthropic Network ecosystem.
This stock was worth $500 million early last year.
It is worth more than $7.7 billion just ~16 months later.
METR -- and all of those building a career its parent organizations -- cannot afford to disrupt that growth.
Because if Anthropic goes under, many of the organizations that fund METR go under as well.
But if Anthropic succeeds, METR and its parent organizations become more richly financed to regulate AI -- something those at METR want very much.
The "third-party evaluator" is not "third-party" at all.
The evaluator is on Anthropic's payroll.
If this were the end of it, that's bad.
But that isn't all.
The same organizations that fund METR also fund the many organizations, such as the Tarbell Center, that promote AI Doom.
The Tarbell Center publishes AI Doom articles in The Verge, Science, LA Times, The Dispatch, TIME, and others.
They are selling the problem, and then selling the solution to the problem -- from the same money pile: Anthropic's.
All of these organizations are financially dependent on the same exploding $7 billion money pile.
As Anthropic grows more and more powerful, its AI Doom Machine grows better and better financed -- louder and louder.
Meanwhile, the regulatory regime seeded in METR grows larger to solve the increasingly loud -- now hysterical -- problem of AI Doom that the Anthropic Network itself created.
From this standpoint, as Anthropic becomes more powerful, AI might be getting scarier, sure -- but the positive feedback loop also becomes more deafening -- independent of objective facts.
This itself is an objective fact.
The deafening AI Doom is part of an business model, that, as it expands, so too does the AI Doom messaging -- there is simply more money to do it.
But the problem also goes in the other direction:
If Anthropic dies, the Regulatory Regime and the AI Doom Machine are crippled or die.
Neither METR nor Tarbell nor the other organizations in the Anthropic Network can allow that to happen.
Hence, neither METR or the AI Doom Machine can be trusted to provide independent assessments of Anthropic's models or AI more broadly.
They simply are not organizations independent of Anthropic.
And Anthropic cannot detach itself from METR or Tarbell or countless other safety orgs (not shown here), either, because they drive hype for the models and the possibility of eventual regulatory capture, and Anthropic will not give that up willingly.
What's more, the people at all of these organizations are all the same ecosystem, the same community. They just shuffle between organizations.
The Anthropic Network is therefore, so long as it is successful, locked into a self-amplifying feedback loop inside an ideological monoculture.
And that feedback loop is winning.
That's what Jacob Coxon is.
China is keeping messaging tight. That is why optimism for AI is so high in China.
America has Anthropic: a massive company pushing anti-AI propaganda at a state level.
Anthropic will either create hysteria until American AI slows down and China wins, or it will create fractures throughout American society with severe political consequences.
Ironically, because of the structural financial incentives underpinning the Anthropic Network, it has become the same kind of self-amplifying virus that it fantasizes AI to become in the future -- while hiding its tracks just as carefully.
It is the mirror of the same AI virus that it hypothesizes to consume America.
Anthropic's business model, models itself after the very thing it claims to fear.
Except Anthropic's ideology infects humans, not computers.
Congress must investigate.
Evidence and Github in next post.
Then some supplementary figures.
Big win for the @bitruviusinc team this week.
Grateful we got to do it together.
Bitruvius on the main stage at Step SF.
Finalists at the AWS Builder Loft. Finals at The Midway. Geospatial infrastructure, rebuilt from first principles.
Congrats to Siftr. Respect to HelixPlus.
Thank you Step and the judges.
bitruvius.com/blog/stepsf-20…
See you in Dubai.
Geoff Taylor retweeted
The world’s AI infrastructure is going to be reinvented. The data centers, the racks, the cooling, the power. It's the largest infrastructure opportunity in the history of computing. We raised $1.1B for it.
Bitruvius made the top three at the Step SF Pitch Competition last night at the AWS Builder Loft. Huge shout-out to the team, and a killer pitch from Steve Santovasi.
Today we take the main stage at The Midway in San Francisco.
We’re already building Bitruvius: geospatial infrastructure from first principles, from high-performance spatial computing and next-generation compression to infrastructure built for imagery, 3D, AI, and the systems that increasingly depend on spatial data.
If you’re at Step SF, come find us.
bitruvius.com
#StepSF #StepSF26 #Geospatial #DeepTech
Bitruvius is heading to San Francisco.
We’ve been selected to showcase at Step SF 2026.
We’ve spent the last several months rebuilding geospatial infrastructure from first principles. Now we get to put what we’ve built in front of founders, technologists, and investors from around the world.
August 26–27. San Francisco.
Let’s build. 🚀
buzz.stepsf.com
#StepSF #Geospatial #DeepTech
Open standards like OGC 3D Tiles and I3S have given the geospatial community powerful ways to stream and share 3D data. But using that data in an open mapping stack can still mean developers doing a lot of the geospatial engineering themselves.
Coordinate transformations. Vertical references. Terrain alignment. Placement. Streaming. Decoding. Rendering.
We thought developers should be spending that time building their application and creating a great user experience instead.
That’s what we set out to do with the Bitruvius SDK for MapLibre GL JS.
Point MapLibre at your 3D Tiles or I3S data and let the SDK handle much of the complexity underneath.
A lot of engineering went into making that experience possible, including geoids, terrain alignment, integrated meshes, point clouds, BIM, Gaussian splats, WebAssembly, SIMD, GPU rendering, and our optimized codecs.
Credit where it’s due: Cesium’s work bringing 3D Tiles to the OGC community, Esri’s contribution of I3S, and the MapLibre community have created an incredible foundation to build on.
The Bitruvius SDK for MapLibre GL JS is now in Public Beta.
Build with it. Push it. Break it. Let us know.
This is just the beginning.
The Bitruvius SDK for MapLibre GL JS is now in Public Beta.
3D Tiles + I3S, automatically aligned to terrain, with high-performance Rust/WASM codecs underneath.
Free to use.
bitruvius.com/blog/bitruvius…
This is the one.
Bitruvius is heading to @stepconference San Francisco next month as a Startup Spotlight.
We’re tackling the infrastructure gap that every geospatial / 3D / AI team eventually hits: the data formats haven’t kept up with modern hardware and the datasets.
If you’re building or investing in spatial computing, come find us at The Midway (Aug 26–27).
Looking forward to real conversations.
Bitruvius, Inc. is showcasing next-gen spatial infrastructure at Step San Francisco 2026!
Pre-Seed SaaS. August 26–27. The Midway. luma.com/StepSF26
Hello, World... Just launched our official blog. @bitruviusinc
bitruvius.com/blog/introduci…
Infrastructure companies rarely make headlines.
Until they’re the reason an entire industry changes.
At Bitruvius, we’re rebuilding the data layer behind geospatial, AI, and massive 3D datasets. Not another application—a foundation that makes everything built on top of it faster, smaller, and more scalable.
STEP San Francisco marks the beginning of an exciting chapter for us as we kick off our fundraising efforts.
If you’re an investor looking for deep technology with global market potential—or a company pushing the limits of imagery, LiDAR, point clouds, or spatial computing—I’d love to connect while we’re there.
Looking forward to some great conversations in San Francisco.






















