About Silkon Labs
We're a team of researchers and engineers building the silicon foundation for AGI — one rigorous experiment at a time.
Mission
Artificial intelligence should be powerful, accessible, and grounded in rigorous science. At Silkon Labs, we build models that reason, explain, and scale — without shortcuts.
Values
Rigor first
Every claim is backed by measurement. We ship models that are reproducible and verifiable.
Open science
We publish benchmarks, training details, and model cards so the community can build on our work.
Scalable design
From 400M to 1T parameters, the same architecture principles apply. Consistency compounds.
Responsible development
Safety evaluations, red-teaming, and bias audits are part of every release pipeline.
Leadership
Alex Chen
Chief Executive Officer
Former research lead at DeepMind. PhD in machine learning from MIT.
Maya Patel
Chief Technology Officer
Built distributed training infrastructure at Meta AI. Stanford CS.
Jonas Müller
Head of Research
15+ years in NLP and transformer architectures. Former Google Brain.
Sarah Kim
Head of Engineering
Scaled inference platforms to 100M+ users. ex-Amazon AWS.
Timeline
Silkon Labs founded with a focus on dense transformer efficiency.
Silkon 7B released. Open-weight model adopted by 10K+ developers.
Silkon 1T training completed. State-of-the-art on 6 major benchmarks.
Expanded to 100+ languages. Enterprise API launched.
Join the team
We're hiring researchers, engineers, and operators who want to build the future of AI.