Custom AI models, built and run for you

On your work, a specialist beats the general chatbot.

Island trains a smaller model on your documents and rules, then runs it inside your own environment. Built for European mid-market teams, one workflow at a time.

Book a 30-min call See how it works

Generic AI keeps getting your real work wrong

A general-purpose model has read the whole internet and none of your work. It answers from averages — so the closer a task sits to your contracts, your prices, your rules, the more confidently it misses.

Hover an icon to see the thirteen failures we hear most.

Eight workflows a model trained on your work can take on.

We look for sensitive work with the same shape: clear inputs, company-specific judgment, repeated decisions, and outputs your team can check. Some of it we build as a model that drafts for review. When the work needs more than a draft, we build agents that take the steps themselves. You decide where a person stays in the loop. Pick a workflow to compare the manual path with the Island model path.

Document handling

One document is easy. The cost lands in the hundreds behind it: each one read, classified, and routed by the exact rules your team now applies by hand.

Attachment arrivesRules appliedSystem updated
Manual path
  • Email arrives with attachment
  • Someone reads and classifies
  • Fields copied into CRM by hand
  • Filed in the wrong folder half the time
  • Original buried in inbox
Island model path
  • Document detected on arrival
  • Fields and line items extracted
  • Classified and checked against your rules
  • Exceptions flagged, the rest routed automatically
  • Anyone with access can find it again

Specialised AI your team can actually use, trained on your work.

Drafts that start right. Answers with the source attached. The recurring work drafted for review, or handled end to end when you want it: accurate AI on your most sensitive tasks, with no AI, security, or infrastructure team for you to hire. We train the model on your data, deploy it inside your own environment, and run it for you.

Book a 30-min call See how it works

A smaller model for the actual workflow.

Contracts, policies, finance notes, customer history, and internal knowledge need a model trained for the task, not a general chatbot pointed at the problem.

Answers with sources, not another search box.

Where’s the German vendor NDA. What did we promise that client in 2023. Which projects used the new pricing structure. Your team asks; the model answers with the source attached.

Recurring work, handled without hiring an AI team.

Finance drafts variance commentary. Sales prepares account briefs. Support drafts ticket replies. Ops files documents. The recurring version runs on a model trained for the task, inside your own environment.

Drafts that start closer to finished.

Reports, proposals, emails, and memos start closer to finished: the right structure, tone, facts, and customer context. Your team reviews instead of rebuilding from a generic draft.

One operating partner. Built from the start.

A fixed monthly fee per workflow covers hosting, monitoring, retraining, and support. We build, deploy, run, and tune the system as your business changes. You don’t inherit a system nobody owns.

A European business intelligence company. Sensitive questions, cited answers.

Ask

What is our standard NDA term for vendors in Germany?

Answer

Two years from termination. Confidential information survives indefinitely.

wiki / Contracts / NDA policy Found in your wiki 4 sources checked

“What’s our standard German NDA term?”

When your answer sits across wikis, contracts, decks, and old templates, search is not enough. This client, a SaaS company with a team under 50, had an NDA policy that existed, but nobody could trust which version was right. We connected the sources, trained a smaller model on the document set, and made citations mandatory. It runs inside the client’s own environment, so nothing leaves their control. Each person sees only answers from documents they could already open. The team gets the answer with the clause attached; if the source is missing, the model says so.

Book a 30-min call

30 min. We’ll sketch the architecture live.

Details anonymised at the client's request.

Four weeks to a working pilot, three months to a live workflow.

  1. 01 Week 1

    Discovery .

    A short session with your team. We map the workflow, the data involved, the approval path, and what must stay inside your environment.

  2. 02 Weeks 2–4

    Build .

    We build the first working version around one model and one workflow, deployed inside your environment. By week four, your team can test it on actual tasks.

  3. 03 Weeks 5–12

    Refine & deploy .

    Your team uses the pilot in real work. We tune the weak spots, connect the tools, and verify the model holds up on your real tasks.

  4. 04 Month 4 onward

    Operate .

    We host, monitor, retrain, and support the system within the agreed access, logging, and data-residency setup.

What buyers ask on the first call.

Book a 30-min call Prefer to read first? Send me the brief

Bring us one sensitive workflow. We’ll tell you if it needs a specialised model.

In 30 minutes, we’ll map the work, show where a tuned smaller model beats a generic one, and sketch what we’d build, or tell you why we wouldn’t. No prep needed, and you keep the recommendation either way.

Book a 30-min call

Prefer to read first?

Get the short brief on where smaller specialised models make sense.