Services
Every layer.
One team.
Agentic AI leads, and most projects cross into the rest. Systems usually break at the boundaries between disciplines, so we’d rather own the boundaries too.
We build agents and everything they depend on: retrieval over your own data, tool use with scoped permissions, memory, model routing, tuned adapters and private inference. Then we wire it into your stack, trace every step and keep tuning it in production.
Agentic AI & AI SystemsAgents
- Customer-facing agents
- Internal operators and copilots
- Tool use and function calling
- Multi-step workflows with approvals
- Voice, image and document input
Knowledge
- RAG over docs, tickets and databases
- Hybrid search and reranking
- SOP and policy ingestion
- Session and long-term memory
- Re-indexing when sources change
Models
- Model selection and routing
- Open-weight model deployment
- LoRA and supervised fine-tuning
- Preference tuning (DPO) where it pays off
- Evaluation sets and regression tests
Production
- Private or shared inference
- GPU serving with vLLM
- Traces for every agent step
- Guardrails and human handoff
- Cost and latency budgets
Works with vLLM · Open-weight models · Frontier model APIs · PostgreSQL + pgvector · Redis · OpenTelemetry · Python · TypeScript
Bring us the hard part.
Tell us what you’re working on. The people who reply are the people who would build it.