AI Products
AI that does real work inside the way you already work.
We design, build, and run AI products that live inside your operation — reading the documents, drafting the responses, routing the cases — with people in control of the outcomes that matter.
What we do on this line.
Built for: Teams with a process that runs on documents, messages, or judgement calls, and a backlog that keeps growing faster than headcount.
- Stop 1 of 6
Document & data understanding
Turn contracts, forms, tickets, and records into structured data your systems can actually use.
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Assistants & agents
Task-focused assistants that act across your tools, with permissions and approvals designed in from the start.
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Search & knowledge
Grounded answers over your own content, with sources shown and access rules that mirror your organisation.
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Workflow automation
Hand off the repetitive middle of a process. Keep people on the decisions that carry risk.
- Stop 5 of 6
Evaluation & monitoring
Test suites, quality measures, and production monitoring, so drift shows up on a dashboard before it shows up in a complaint.
- Stop 6 of 6
Security by design Change for Security
Threat-modelled against prompt injection, data leakage, and over-permissioned tools before anything ships.
Three ways to work with us.
Product build
We scope, build, and ship an AI product with you, then run it alongside your team.
Embedded capability
We add AI to software you already operate, without rebuilding what works.
Opportunity assessment
A straight read on where AI will pay off in your operation, and where it will not.
Connections.
AI Products shares tracks with the other two lines. That is where most of the value is.
AI, built to be attacked
Our AI products are threat-modelled and red-teamed by the same people who test other companies’ systems for a living.
Change for Security ServicesAI with an operation behind it
Vertical software gives AI real workflows, real data, and a real measure of whether it helped.
Change for Vertical SaaS
Questions we hear.
Whichever fits the job. We choose on quality, cost, latency, and where your data is allowed to go, and we design so the model can change without the product changing.
We design data flows around the boundaries you set — what can leave your environment, which providers can see it, and what is retained — and document them before anything ships.
We agree on success measures up front and build evaluation into the product, so quality is something we track rather than something we assert.
Rarely. Making messy, real-world inputs usable is usually part of the work.
Ready to board?
Tell us where you are and where you need to be. We will map the route with you, and say so plainly if we are not the right line for it.