POLYREQ maps your system into a knowledge graph: rules, screens, endpoints and data as linked records with evidence in code. Readable by people and AI agents alike, and the first step towards moving your delivery to ADLC.
The system runs your business, but its authors left and the documentation died years ago. POLYREQ brings understanding back, without months of archaeology.
An external firm built your software and you’ve depended on them since. See what you own, verify the scope of billed changes, and win back the freedom to decide.
New CTO, new team, an acquisition, a key developer leaving. Understanding in days instead of months of reading someone else’s code.
Before you rewrite the old system, find out what’s really in it. POLYREQ becomes the specification of the new one, nothing gets lost on the way.
The code is three months old and nobody understands it anymore, because agents wrote it. POLYREQ shows what actually got built, and whether it matches what you asked for.
An impact map as the basis for the scope and price of a change. Quotes backed by evidence instead of estimates, and an end to scope disputes.
POLYREQ’s output isn’t a PDF that goes stale with the first change. It’s a queryable model, and when you decide, it keeps living alongside your system.
Processes, rules, use cases, screens, endpoints and tables, each as its own record with its own ID and version.
Every rule linked to the screens that use it and the code where it lives. “Which screens use this rule?”, answered instantly.
One of your real change requests evaluated against the whole model: affected parts with evidence, untouched parts with a reason.
Business and IT both read the model, and via MCP, so do your AI agents. Your tool, your data, no lock-in on the output.
The model you receive is not a terminus. It is exactly the context the Agentic Development Life Cycle needs: AI agents take over delivering changes, with full context of your system.
A living model with evidence in code. You know what you have, what it does and why. This is where you are right now.
Complete impact maps, clickable prototypes changed by prompt, and a specification that writes itself.
Coding agents get precise context via MCP, and the approved state is automatically compared with what’s deployed.
Tell us about the system. We’ll get back within 24 hours with a proposed scope and a fixed price.
Or contact us directly: contact@polyreq.com