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Service 02 / 09

AI Solutions & Applied ML

Production-grade AI that's grounded, evaluated and cost-controlled — not a demo that falls over.

Overview

We help teams ship AI features that actually reach production: RAG assistants, agents and copilots wired to your data with guardrails, evaluation and sensible economics. We've been shipping LLM products since well before it was fashionable.

The problem

AI demos impress in the boardroom but break in production — hallucinating, leaking data, or quietly burning budget.

Our approach

We ground models in your data, wrap them in evals and guardrails, keep a human in the loop where it matters, and watch cost and latency like hawks.

What’s included

  • RAG & agent architectures
  • Evaluation & guardrails
  • Retrieval & vector search
  • Cost & latency optimization
  • Human-in-the-loop review
  • Monitoring & drift alerts

How we deliver

  1. Use-case & feasibility

    We pressure-test where AI genuinely helps and define what 'good' looks like with measurable evals.

  2. Grounded prototype

    A working prototype on your data, with retrieval and guardrails, evaluated against real examples.

  3. Productionize

    We harden, add monitoring and cost controls, and integrate into your product.

  4. Improve continuously

    Ongoing evaluation and tuning as usage and data evolve.

Typical stack

  • Claude
  • OpenAI
  • Python
  • LangGraph
  • pgvector
  • AWS

Frequently asked questions

We ground every feature in your data via retrieval, add evaluation harnesses, and keep a human in the loop where accuracy matters most.

In prod

features, not just demos

Evals

on every release

Lower

cost per request over time

Let’s talk about your AI features.

Tell us what you’re building. We’ll send a scoped plan and an honest estimate within 48 hours.

Talk to an AI engineer