Assistants and chat
Customer- or staff-facing assistants grounded in your own content, with clear hand-off to a person.
Service 03 · AI solutions
Practical AI that earns its place.
We build AI features and assistants that solve a real problem — answering customers, finding information, reading documents — and we measure them, so you know they work.
What we do
AI where it actually helps.
We start with the problem, not the model — and only ship what beats the way things are done today.
Search and RAG
Search across your documents and data, with answers that cite their sources.
Document AI
Read, extract, classify and summarise invoices, contracts, forms and reports.
AI agents
Multi-step tasks that use your tools and systems, with human approval where it matters.
AI inside your product
Summaries, recommendations and smart forms built into the software you already have.
Evaluation and guardrails
Test sets, quality metrics, safety checks and monitoring — before and after launch.
How it works
Four steps, no surprises.
You always know what we’re doing, why, and what comes next.
- 01
Identify
Find the use case with clear value and the data to support it.
- 02
Prototype
A working prototype on your real data, so you can judge it on real cases.
- 03
Evaluate
Measure accuracy, cost and speed against targets we agree up front.
- 04
Ship and monitor
Integrate, launch and watch quality over time.
Is it a fit?
A good fit if…
Since 2013 we have built, launched and run our own products — DNSChecker.org, IPLocation.io and more. Client work gets the same team and the same standards.
See our own products- Your team answers the same questions again and again.
- Information is spread across documents, drives and tools.
- People spend hours reading, copying or checking documents.
- You want an AI feature but aren’t sure where to start.
Which AI models do you use?
We choose per use case: leading hosted models, open-source models, or a model trained for you — weighing quality, cost, speed and where your data is allowed to go.
Is our data safe?
We design for privacy from the start: data stays in agreed environments, access is controlled, and private or self-hosted models are available when required.
How do we know it works?
Every project has an evaluation set built from your real cases. We report results against it before launch and keep measuring afterwards.
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