LLM Agents
Tool-using agents built on Claude, GPT, or open-weight models. Evaluated, instrumented, budgeted.
All Services
Cognition
Artificial Intelligence
AI that earns its keep.
Custom agents, RAG pipelines, and workflow automation that work on your data and answer to your business rules.
The AI hype cycle keeps promising magic. We don't sell magic. We build the boring-but-valuable layer: retrieval pipelines that actually return the right document, agents that know when to stop, and evaluation harnesses that catch regressions before your users do.
The best starting point is a repetitive task that consumes team time every week. Measure the results before expanding its use.
What we do
Four ways we ship this
RAG Pipelines
Document ingestion, chunking, embedding, hybrid retrieval, reranking. The full stack, tuned on your corpus.
Fine-tuning
Domain-specific models via LoRA or full fine-tune when off-the-shelf falls short. Hosted on your own GPUs or ours.
Evaluation Harnesses
Golden sets, automated graders, regression catching. Because 'it works on my laptop' isn't enough.
How it runs
From kickoff to running in production
- 01
Data audit
What you have, what is missing, what is worth retrieving.
- 02
Spike
A 48-hour proof of concept. Real data, real latency, real vibes check.
- 03
Eval loop
Golden sets, graders, continuous scoring. Move the needle with numbers.
- 04
Deploy
Guardrails, cost caps, usage dashboards. AI you can sleep next to.