We teach AI to understand proprietary, custom-built, and commercial niche applications — turning months of custom development into a structured, repeatable process.
Our methodology works across fundamentally different application architectures, access methods, and data models.
Industry-specific applications, niche ERPs, vertical SaaS, and legacy platforms abandoned by their vendor's AI roadmap. If the vendor won't build AI for it, we will.
Internal tools, bespoke platforms, and homegrown systems that only your organisation uses. No public documentation needed — we learn from the application itself.
Trade-secret systems, classified environments, and applications with no public documentation. Everything runs on your network — nothing leaves.
A structured, repeatable process — not a science project.
We access your application's screens and data layer. On your network, under your control. Nothing leaves your environment.
Our methodology maps what users see on screen to how data is stored and retrieved — bridging the gap between human language and system internals.
Every answer is verified against what the application actually shows. No hallucination, no guessing — screen-validated accuracy.
Your team gets a natural language interface to the application, running on-prem as a Docker container. Ask questions, get verified answers.
The methodology works across different vendors, domains, and access methods. Three enterprise integrations shipped and validated.
Finance, procurement, inventory. SQL and Oracle Forms access. 23 validated patterns.
HR, payroll, workforce management. Component Interface access. 17 validated patterns.
Asset management, work orders, inventory. OSLC REST API access. 30 validated patterns.
Whether it's a 30-year-old mainframe green screen or a modern web app your team built last year — if your organisation runs it, we can teach AI to understand it.