Cryptographic proof systems for AI, defense, and enterprise infrastructure. Autonomous action you can trust. AI execution you can prove.
@LagrangeFndn $LA
AI doesn’t need to be a black box.
So we opened ours.
DeepProve is now open source. The fastest zkML in the world.
Fork it. Run it. Break it. Build something weird.
→ https://t.co/TaVk7RUNHr
Thrilled to announce that DeepProve is now open source.
Engineers, researchers and enthusiasts will now have access to the fastest zkML proof system.
The black box is open.
Build with it and feel free to reach out if you have any questions.
Three years ago, we made a bet.
That cryptography could do more than secure rollups.
That it could become part of the trust layer for AI itself.
Today, every line of how we built it is open.
DeepProve is now open source and available to everyone.
Yesterday we open-sourced DeepProve.
Today, the proofs keep running:
12M+ proofs generated 3M+ AI inferences verified 200+ integrations across the Lagrange
network
Open code. Real proofs. Even agents.
→ https://t.co/TaVk7RUNHr
Trusting AI Agents: Mistake or Necessity? 🤔
AI After Dark is back with @LagrangeDev and @AIVM_Network!
We're discussing identity, reputation, and what it takes to verify agents as they become part of the economy.
🕑 14:00 UTC
📅 Thursday, June 4th
📌 https://t.co/keRSbOOQvR
There’s a growing gap in modern infrastructure:
Autonomous systems can act.
But they often cannot prove they acted correctly.
Verifiability needs to be provable.
We’re building over here 🚧
Keep your eyes peeled.
Everyone talks about speed in autonomous systems.
But speed isn’t what breaks things.
It’s acting fast on incomplete, inconsistent, or wrong information.
In real-world environments, correctness is the bottleneck.
We’re just starting to feel it.
Full piece: https://t.co/l0QSGPypjv
The team at Lagrange has gone and done it again!
We're very excited that "Efficiently Provable Approximations for Non-Polynomial Functions" has been accepted to the USENIX Security Symposium.
A new capability is emerging in computing:
Systems can produce cryptographic proof that a computation executed correctly.
The result is no longer “trust me.”
It’s “verify this.”
Verification > Trust.
We’re deploying AI into financial systems, infrastructure, and real-world decision making…
Often though, we can’t prove it did the right thing.
We’re building systems we trust… without a way to verify them
That’s not a scaling issue. That’s a blind spot.
And it's bigger than most people think.
Read more here: https://t.co/Phps6UztsW
House of AI is a wrap. An afternoon of real talk on verifiable compute, agent accountability & who actually controls the future of intelligence.
Shoutout to @0G_labs and our sponsors @KenomicAI@buildonSapien@Cysic_xyz@Sealcoin_QAIT for bringing the builders, investors & researchers together during @consensus2026.
Lagrange x @0G_labs House of AI is in full swing!
Check out the agenda and come through.
We still have a few spots left so sign up now:
https://t.co/wklg4umGFC
📍 Miami Marriott Biscayne Bay
We close the day back at @TokenizedSummit
🕖 7:00 PM — @Ismael_H_R, CEO of Lagrange
Keynote: Turning AI risk into verifiable financial trust. Don't miss out!
In the afternoon join us at House of AI 🏠
🕒 3:00–7:00 PM
Co-hosted by Lagrange x @0G_labs and supported by @BuildOnSapien, @cysic_xyz, @KenomicAI, @Sealcoin_QAIT
Focused on real-world AI systems: infrastructure, security, and verifiability.
📍 Miami Marriott Biscayne Bay.
We have a few spots left: https://t.co/CB01HNZmx6