$ ./services/ai-solutions --detail [ 05/06 ]

AI that works on your own data

Private AI on your own documents and data: search, voice agents and automation, in the cloud, on-premise or fully offline.

$ book_consultation

// what's_included

▸Document search and Q&A that cites the page it came from

▸AI voice agents that answer, qualify and route calls

▸Paperwork automation from forms, invoices and records

▸Drafting assistants for documents your team writes again and again

▸Private deployments on your own servers, including air-gapped networks

// how_we_work

Pick a use case

One task where the time saved is easy to measure.

Check the data

What you have, where it lives, and who may see it.

Pilot

Real users and real documents, measured before scaling.

Roll out

Access controls, logging and a way to correct the AI when it is wrong.

Why it matters

Most businesses want the same things from AI: find answers in their own documents, answer the phone when nobody can, and stop retyping data from one system into another. Many also cannot send client, patient or case files to a public AI service. We build AI around your documents and workflows and run it where your data is allowed to be: in the cloud, on your own server or fully offline.

Who it is for

Law firms, clinics, financial and logistics businesses, and any team sitting on documents and calls nobody has time to work through.

Real work

On-premise document search for a multi-site healthcare group: FATHOM
AI drafting for Colorado Court of Appeals briefs: COAPP
Call management with AI voice agents: Voice CRM

How it connects

Turning the AI into a tool your team uses daily: Custom Software
Keeping private data private: Cybersecurity & Compliance

// stack

TensorFlow & PyTorchHugging Face TransformersOpenAI & ClaudeLocal LLMs (Llama, Mistral)LangChainVector databases (Pinecone, Weaviate)MLflowAWS SageMaker / Azure ML

Frequently asked questions

Can AI run without sending our data to the cloud?

Yes. We deploy models on your own servers, including networks with no internet connection.

Do we need a lot of data to start?

No. Document search works with the files you already have.

How long does an AI project take?

A focused pilot typically runs a few weeks. Larger builds are scoped after the pilot.

What about wrong answers?

We design for them: answers cite their sources, staff can flag errors, and sensitive actions keep a person in the loop.

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