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Artificial Intelligence

LLM agents, RAG search and predictive automation.

Overview

We build AI features that survive contact with production: evaluated, guard-railed, cost-capped and observable on every call.

If a task cannot be scored on a fixed dataset, we say so before you spend a budget on it.

  • OpenAI
  • Python
  • FastAPI
  • PostgreSQL
  • Redis

What you get

  • Use-case scoping and feasibility study
  • RAG pipeline and vector search
  • Agent workflows with tool calling
  • Evaluation harness and regression tests
  • Cost, latency and quality monitoring

How we deliver

01

Discover

Workshops to map goals, users and constraints.

02

Research

Market, competitor and technical feasibility study.

03

Design

Systems, prototypes and high-fidelity interfaces.

04

Develop

Modular architecture built in weekly increments.

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