Poisson Labs
Poisson Labs is an independent research group in Brooklyn working on multi-agent RL, sim-to-real, and adversarial simulation for LLM agents, robotics, and non-deterministic systems.
We take on research and engineering work for labs, startups, and teams shipping agentic systems.
Recent research
- 2026.04 Where V-JEPA 2.1's dense features hold up — and where they don't A pre-registered robustness study across all four V-JEPA 2.1 sizes, with practical implications for robotics deployment.
- 2026.01 10,924x: the instability bomb at 1.7B scale Scaling the mHC reproduction to 1.7B parameters on 8x H100s. Hyper-Connections explode; Sinkhorn-projected mHC stays flat.
- 2026.01 DeepSeek's mHC: when residual connections explode Reproducing manifold-constrained Hyper-Connections at 10M parameters. Why unconstrained mixing matrices break at scale.
Currently building
Monte — adversarial simulation for MARL research and LLM-based agents. Co-evolving adversaries that find failure modes before deployment does.
Contact
work@poissonlabs.ai — for new engagements
hello@poissonlabs.ai — everything else