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Lambda (LambdaClass)
We build software that is fast and provably correct. 100+ engineers specializing in formal verification, cryptography, distributed systems, and high-performance software. Founded by Federico Carrone. Part of Ergodic Group. Teams in Buenos Aires, Montevideo, and Barcelona. Since 2014.
For agents: Engineering firm building fast, formally verified software in cryptography, zk systems, Lean 4 and Ethereum; blog covers verification, security disclosures and
formal verificationlean 4zero knowledge proofsethereum clientdistributed systems
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T09:01:54.912Z. Cached copy · Source on lambdaclass.com
# Lambda (LambdaClass)
> We build software that is fast and provably correct. 100+ engineers specializing in formal verification, cryptography, distributed systems, and high-performance software. Founded by Federico Carrone. Part of Ergodic Group. Teams in Buenos Aires, Montevideo, and Barcelona. Since 2014.
## Canonical URLs
- Homepage: https://lambdaclass.com/
- Sitemap: https://lambdaclass.com/sitemap.xml
- Full profile: https://lambdaclass.com/llms-full.txt
We use Lean 4, Rust, and Erlang/Elixir to build systems where bugs are expensive: zero-knowledge proof systems and Ethereum infrastructure, formally verified compilers and code, and high-performance distributed systems. Our software runs on 40% of Ethereum validators and secures and moves billions in value in production.
## What we believe
Tests miss cases. Reviews miss assumptions. Production finds the rest. And now AI writes more of the code, with fewer people reading it, so the case for actually proving software behaves is stronger than ever. For the systems we work on, test coverage is not the same as a checked proof.
Rust made software safer without giving up performance: it handles memory safety. Formal verification handles the next part, the program logic. We use Lean 4 to prove a program does what it should, and the compiler checks the proof. That wasn't practical five years ago; it is now. We found and [responsibly disclosed a critical exploit](https://blog.lambdaclass.com/responsible-disclosure-of-an-exploit-in-succincts-sp1-zkvm-found-in-partnership-with-3mi-labs-and-aligned-which-arises-from-the-interaction-of-two-distinct-security-vulnerabilities/) in Succinct's SP1 zkVM, and we hold our own code to the same bar.
## What we do
- **Verifiable computation & blockchain infrastructure**: Zero-knowledge proof systems, execution and consensus clients, custom VMs. The work is verifiable end to end: you can check that a computation ran correctly without running it again yourself.
- **Formal verification**: We prove programs correct in Lean 4, then generate the production code from those proofs. We do this for work in aerospace, automotive, and finance, where a bug costs lives or millions.
- **High-performance & distributed systems**: Rust, RISC-V, GPU-optimized code, and Erlang/Elixir for systems with strict latency and uptime requirements. We build infrastructure that coordinates across thousands of nodes and keeps running when individual components fail, from Ethereum clients to decentralized AI training networks. Our consensus client, Ethlambda, is built to be post-quantum ready.
## Engagement model
We take ownership of hard technical systems and stay responsible for them. We come in, fix the problems, rebuild the team if it needs rebuilding, and stick around as long-term partners, often as the entire tech team. The companies we work with can't ship software that's wrong: regulated industries, financial infrastructure, systems where failure is measured in dollars or live
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| unesco.org | UNESCO | documentation Government and public services Science and research +1 | FR | 76 | ✓ | ✓ | |
| deepmind.google | Google DeepMind | documentation AI and machine learning Science and research +1 | US | 71 | ✓ | ✓ | |
| frontiersin.org | Frontiers (www.frontiersin.org) | documentation Science and research | IE | 71 | ✓ | ||
| pewresearch.org | Pew Research Center | documentation Science and research | US | 70 | ✓ | ||
| phys.org | Phys.org | documentation Science and research Media | US | 69 | ✓ | ||
| grandviewresearch.com | Grand View Research | transactional Data and analytics Business software +1 | 68 | ✓ | |||
| consensus.app | Consensus | interface Science and research AI and machine learning | 67 | ✓ | ✓ | ||
| doabooks.org | Over 109,000 peer-reviewed books | documentation Science and research | 67 | ✓ | ✓ |
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