Service · AI integrations

AI features that ship, and stay shipped.

Forty percent of our 2026 pipeline is AI work. We treat models as components: scoped, measured, fallback-handled, and replaceable. It isn't magic, it's engineering.

MCP + ClaudeAgentic AI in production
What we cover

Capabilities, in plain English.

01
Closed + open models

Claude, GPT, Llama, Mistral. We pick what fits your latency, privacy, and cost profile rather than the headline.

02
RAG over your data

Retrieval pipelines tuned for your domain, with eval suites you can run on every change.

03
Agent flows

Multi-step actions with rollback, guardrails, and a human in the loop where it matters.

04
Evals + monitoring

Production observability for prompts: token cost, latency p99, regression alerting.

05
On-device inference

Small models that run on the device for privacy-sensitive flows, so the data stays put.

06
Cost engineering

Caching, prompt distillation, and fallback hierarchies. We bring AI bills down month over month.

Stack

Tools we reach for first.

Boring tech where it buys speed, sharper tech where it actually pays off.

Deep dives on how each compares
ClaudeOpenAILlamaPostgres + pgvectorPythonTypeScriptModal

Got a project in AI?

Two-week discovery, fixed price, deliverables you keep. Even if you don't continue with us.