Service 02
AI systems
Retrieval, agents and automation wired into the processes that move a number.
The work
We add AI where it changes a metric you already track — support resolution time, sales-ops throughput, the hours a team spends copy-pasting between systems.
Every build starts with an evaluation harness, so we can prove the thing works before it ships and keep proving it as the models underneath keep changing.
What's included
Use-case scoping and a build-vs-buy call
Retrieval pipelines and vector storage
Agent and tool orchestration
Evaluation harness and guardrails
Human-in-the-loop review flows
Cost and latency monitoring
Typical stack
OpenAIAnthropicLangGraphpgvectorPythonFastAPI
What you walk away with
Not a demo — something you can run.
01
A working AI feature in your product or ops
02
An evaluation suite you can run on every change
03
Guardrails, fallbacks and cost limits
04
A clear read on what it does and doesn't do well
More services
01Web platformsEDITED TAGLINE VIA CMS03Mobile productsiOS and Android apps that feel native and survive a bad connection.04SaaS buildsMulti-tenant architecture, billing and admin — from an empty schema to launch.05Product & UX designInterface and flow work grounded in how the product is actually used.06Cloud & DevOpsInfrastructure, pipelines and observability that make releases boring.