Industries we engineer for.
Pick a vertical. Each page shows the system we built, the schema or data source it runs on, the eval that proves it, and the named clients behind it. We don't adapt a general framework per industry, the domain knowledge is baked in before call one.
Find work we've done
in your industry.
Each page shows the systems we've built, how they work, the concrete use cases, and the clients we've done it for.
VistaGPT eval Operations & Logistics Incident diagnosis across complex multi-system environments, cited RCA, 0 analyst hours. 55/55
Orions stories HR & People Operations Flight-risk, pipeline health and attrition signals from existing data, no surveys. ~60%
attrition caught early Finance & Investment Investment research and deal monitoring, gathered on schedule, cited to source. Days → auto
daily briefing Sales & Marketing Outbound at scale, 24/7 inbound voice, and content without the production bottleneck. £25K/yr
A&A, saved
One row per vertical.
System, data source, the eval.
Every claim on this site traces to a system you can inspect. This is the whole picture on one page, what runs where, on which schema, and the number that proves it.
AI CompMate is in active development for our first enterprise client, its figures are targets, not achieved scores. Every other row is a system already running with named clients.
The system knows your
schema before call one.
Most AI engagements spend the first phase learning what the industry-specific problem actually is. Ours don't. We've already built for Viewpoint Vista, Azure DevOps, StubHub Pro, Upwork and multi-tenant HR systems, the schema knowledge is already there.
Each industry page publishes the specific technical decisions we've made, and why. Domain knowledge is not a differentiator if it's kept proprietary, so we publish it.
Not on this list?
We work in any vertical where the problem has a definable output and reproducible data. Tell us what you want to automate, we'll tell you whether we've seen it before and what the system looks like.