Multi-Agent Scientific Discovery
A multi-agent swarm that coordinates literature review and hypothesis generation across multiple agents working in parallel. Compressing years of research into days by running multiple hypotheses simultaneously, backed by vector search and episodic memory.
Research Objectives
Causal Neuro Circuitry
Semi-Autonomous Research Swarm is powered by deterministic causal circuits with response workflows—notifications, webhooks, enterprise system integrations, and agent-to-agent coordination.
Modular agentic pipelines - each team member is a purpose-built reasoning chain with tool access, memory, and accountabi…
Causal memory architecture grounded in relativistic geometry. Agents retrieve only what is semantically reachable, not e…
Iterative transformer architectures that trade parameters for compute loops, getting more out of smaller models. Challen…
Every output is auditable. AI proposes, domain experts dispose. No black-box decisions reaching production. Deliberately…
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