Agent orchestration
Routers and supervisors that break problems into steps, hand off to specialist agents, and stream structured results back — observable at every hop.
research // ai agents & llm infrastructure
Agents // the Edge
We design and operate agent systems — model orchestration, retrieval and tool-use, evaluation, and the serverless infrastructure that runs them at scale. The mesh below is our actual runtime topology: a user prompt fans out to tools, memory, retrieval and the model, then loops back through guardrails before it ships.
agent runtime // orchestrationruntime: healthy
agents04
tools bound09
ctx window128k
tokens/s~1.2k
focus areas
Tools & retrieval
Function calling, tool use, RAG and memory that ground models in real data instead of guesswork.
Evaluation & guardrails
Evals, sandboxes and policy checks between the model and the user, so autonomy stays safe in production.
Serverless LLM ops
Durable state, queues and workers that run agent loops at the edge — scaling horizontally without operators.
STEM-driven R&D
Research-backed engineering: we formalize problems, prototype on the edge, measure, and publish what works.