Practical AI, starting with the one project worth doing

We find where AI fits your business, then build assistants and automations your team actually uses.

Recent research: a retrieval architecture study for a multilingual social-media dataset.

Is your company ready for AI?

Six questions, thirty seconds. Your answers stay in your browser.

  1. Your key data lives in systems you can export from
  2. You can name one task that eats hours every week
  3. That task follows roughly the same steps each time
  4. Someone on the team would own an AI pilot
  5. You have rules for what data can leave the company
  6. You know what a good result would save or earn
Your readiness

Answer all 6 to see your result

It takes about 30 seconds. Nothing is sent anywhere.

Proof from real work

Results in brackets are filled in once the client approves publishing them.

Research project, media

Retrieval architecture for a multilingual social-media dataset

Problem
A very large multilingual corpus needed fast, accurate retrieval for question answering.
What we built
A comparison of two retrieval approaches, including entity-graph retrieval, with cost and accuracy trade-offs.
Result
[Recommended approach and measured accuracy]
Read the case study

How a project runs

Three ways to work with us. Stop after any of them with something useful in hand.

Plan it

Readiness assessment and roadmap

We review data, processes and rules, and rank use cases by value and effort.

2 to 4 weeks
Build it

One focused pilot

We build the top use case, measure it against a target set before starting.

3 to 6 weeks
Run it

Monitor and improve

We track quality and cost, and expand only what proves its value.

Monthly

Tools we use for ai strategy & solutions. Everything stays in your accounts.

PythonLLM APIsVector databasesn8nPower AutomateAzure

Book a free call

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30 minutes, no slides, no obligation.

Questions about ai strategy & solutions

Is our data safe with AI tools?
We choose setups where your data is not used for training, keep it in your region when needed, and document every data flow.
Do we need our own AI model?
Almost never. Most value comes from connecting existing models to your data and workflows.
What if AI is not right for us yet?
The assessment will say so, and tell you what to fix first. That is still a useful result.
How long does a pilot take?
Usually 3 to 6 weeks, with a success target agreed before we start.
Can you train our team?
Yes, as a standalone workshop or as part of every build.