AI & Automation

Custom AI Development

Production AI features, engineered to be reliable - not a demo.

What it is

We design and build custom AI features into your product and internal tools - with the retrieval, evaluations and guardrails that make them dependable when real users hit them, not just impressive in a demo.

What you get

  • AI features that ship and hold up under real usage
  • Grounded answers via retrieval over your own data
  • Quality you can measure with evals, not vibes
  • Guardrails for safety, cost and latency built in

What's included

RAG & retrieval

Ground models in your data with retrieval that stays accurate as your content changes.

Evals & quality

Automated evaluations so you can measure quality and improve it over time - not guess.

Guardrails

Safety, policy, cost and latency controls baked into every call.

Model-agnostic

The right model for the job, and easy to swap as the field moves - no single-vendor bet.

Built into your product

Integrated with your app, API and data - not a disconnected side tool.

Observability

Trace, log and monitor every call so you can debug and optimize in production.

How it works

From your workflows to a system in production

01

Map your operations

We start from your actual workflows - the tools, data and handoffs - and pick the highest-ROI place to apply AI first.

02

Design the system

We scope a system that fits your stack and constraints, and agree up front on what 'working' actually means.

03

Ship in weeks

Your first version runs in production within weeks - not a six-month project - so you see value fast.

04

Own it together

We stay close after launch: monitoring, tuning and automating the next process, with everything documented and owned by you.

Where it fits

In-product AI

Copilots, generation and semantic search built directly into your product.

Document intelligence

Extract, classify and summarize documents and data at scale.

Internal copilots

An assistant trained on your docs, data and tools for your team.

Works withClaudeOpenAIPythonTypeScriptVector DBsYour product

Questions, answered

We build evaluation sets for your use case and run them continuously, so changes are measured against real quality metrics before they ship.

We're model-agnostic and pick the best fit for the task - typically the latest Claude or OpenAI models - and keep it easy to swap as better options appear.

Yes. We integrate into your product, API and data rather than building a separate silo, and hand over documented, maintainable code.

Need something like this for your business?

These are our own products - the same patterns we build into custom AI systems for clients. Tell us what you need and we'll map it out.

Book a free systems call