Practical AI

AI that works on your data, inside your business.

Past the demo, into production, connected to systems people actually use.

The problem

Most AI stalls between the demo and the business.

The pilot impressed everyone. Then it met real permissions, real data quality, and real operational load, and it stopped.

We get called at exactly that point. The model was never the hard part. Everything either side of it is.

Capabilities

What we build

Grounded retrieval

Point a model at your own documents and data, with answers that trace to a source.

Enterprise search

People find the thing they need without knowing where it lives.

Document intelligence

Pull structure out of contracts, invoices, and reports.

Workflow agents

Intake, triage, and routing handled automatically.

Human in the loop

A person stays in the path wherever the decision matters.

Governed access

Routing, policy, and audit around who can ask what.

How AI reaches production
Your documents and data ERP, CRM, contracts, transcripts
Retrieval and governance Grounding, permissions, routing, audit Stork builds
Apps your team uses Search, agents, human in the loop

The model sits inside the middle box. It was never the hard part.

What we work with

  • RAG
  • Vector search
  • OpenAI
  • Anthropic
  • Google
  • AWS Bedrock
  • Mistral
  • DataSafeHouse
How it works

How an AI build usually goes

  1. UnderstandWe start with the business problem and the systems you already have.
  2. DesignWe pick the simplest approach that solves it without adding complexity.
  3. BuildWe work in increments so you see progress early and can change direction.
  4. IntegrateWe connect it to the data, systems, and workflows it has to live with.
  5. SupportWe stay available after launch for changes and the things nobody predicted.

Have something complicated you need to get done?

Tell us what you're working on. Even if you are not sure what the answer looks like yet, we can help you find it.