Make your company’s knowledge instantly conversational.

Customers, employees, and partners look for answers in their own words.
We build search and AI agents that meet them there — in your industry language, on the knowledge you already hold.

Talk to usSee what we build

What we build

AI agents

Practical AI for support, sales, ops, or other use cases you have.

We build agents and chatbots that look things up in your own material, then reply in your voice.

  • Support

    Answer questions from your catalogue, policies, and past tickets — so customers get a useful reply without waiting on a specialist.

    +14%More customer issues resolved each hour

  • Sales

    Pull the right product and customer context, then draft the next outreach — so sellers spend less time digging and more time talking to buyers.

    1.7×More likely to grow market share when gen AI is paired with personalisation

  • Ops

    Look up internal procedures, handbooks, and past decisions in plain language — so day-to-day work does not stall on “who knows this?”

    −30%Less time searching and combining company knowledge

  • Content creation

    Draft pages, emails, and product copy from your existing material — then refine in your brand voice before anything goes out.

Figures based on published results from NBER (Brynjolfsson, Li & Raymond) and McKinsey.

MCP

Model Context Protocol

Connect the same agent to Claude, Cursor, or Slack via MCP — so partners and employees can look up your catalogue, policies, and procedures without opening another app.

How we make a difference

A ready-made product is a starting point. We build and measure on your material and your real queries — so you know why it works, and when it starts to drift.

  1. Tuned to your material

    We shape it for your language, your content, and the trade-offs that matter — speed, cost, or result quality. There isn’t one setup that fits all material.

  2. Tested on your queries

    We don’t score quality on sample queries. We test against your documents and the queries your users already run — and agree what a good result looks like.

  3. Explained with data

    When results improve — or slip — we can show why, using those tests. You’re not left guessing whether it still matches what you agreed.

  4. Observed after launch

    Queries change. Material changes. Who asks can change. We monitor the metrics you care about and flag when it drifts from what you signed off.

Let’s talk about how we can help.

Search, an agent, or both. We can work that out together.

Talk to us