AI features that move metrics, not headlines.
We build production AI — assistants, agents, RAG, classifiers, and automations — wired into your product with eval harnesses, guardrails, and cost controls baked in.
Every engagement comes with the essentials.
- Model selection and provider strategy (OpenAI, Anthropic, open-source)
- RAG pipelines with vector store and re-ranking
- Agent orchestration with tool use and guardrails
- Prompt versioning and evaluation harness
- Cost budgets, caching, and rate limiting
- PII redaction and content safety filters
- Observability: traces, latency, token usage
- Frontend integration with streaming UI
Built for teams shipping AI past the demo.
Founders shipping AI v1
You have a clear AI use case and need someone who has done it before.
Teams past the prototype
Your demo works. Now you need evals, costs, and reliability before users see it.
Ops teams automating work
You want agents that actually take actions — not chatbots that hallucinate.
What you walk away with.
A repeatable process, tuned for this service.
- 01
Use-case discovery
We map the workflow, define success metrics, and pick the smallest model that gets there.
- 02
Eval harness first
Before writing prompts, we build the test set. Every change gets scored against it.
- 03
Build and integrate
API, prompts, RAG, tools, streaming UI. We wire it into your product with proper guardrails.
- 04
Cost & safety hardening
Caching, batching, PII redaction, content safety, rate limits. Production-ready.
- 05
Ship and observe
Launch with traces, dashboards, and a feedback loop. Iterate weekly on real usage.