DecisionGraph turns every customer conversation, product decision, and line of code into connected, queryable intelligence — so your team and your agents always know what was built, why it was built, and what to build next.
Start with a customer interview, a document upload, or a decision that needs to be made. DecisionGraph captures the signal where intent comes across most clearly — and keeps it attached to the product it affects.
Voice of Customer surfaces what customers actually think, weighted by frequency and signal strength. Business Case Builder turns the signal into a defensible decision. Spec Builder turns the decision into engineer-ready work.
DGx delivers each story to your AI coding agent — not just what to build, but why. Full product context, preserved lineage, automatic status sync back to DecisionGraph.
Ask DecisionGraph anything. Why was this built? What are customers saying about it? What's blocking the team? Answers sourced from live data across the full graph — never generic.
Customer insights live in call recordings nobody rewatches.
Business cases are written to justify decisions already made.
Six months later, nobody knows why anything was built that way.
Your agents hallucinate because they have no ground truth.
AI coding velocity is high. Definition quality isn't keeping up.
Every story traces back to the customer signal that justified it.
Every decision is defensible — assumptions documented, tradeoffs recorded, lineage intact.
Ask why anything was built. The answer is one query away.
Your agents consume intentional data. They stop hallucinating about your product.
Speed and quality compound together instead of trading off.
The platform manages its own development — every feature captured, decided, built, and certified through the system it describes. The graph you're reading about is the graph we use every day.
“The PRD is the cheapest line of code you never wrote.”
AI-led interviews and document synthesis that surfaces what customers actually think, weighted by frequency and signal strength. Integrate your existing feedback mechanisms and bring coherence to what they're telling you.
Defensible decision records with provenance. An anti-back-solving constraint that makes reverse-engineered ROI structurally impossible. The logic that justified the work, preserved.
The bridge from decision to execution. What gets built, and why, in a form that humans and agents can both use. Every spec traces back to the signal that created it.
The VS Code extension that delivers full product context to your AI coding agent — not just what to build, but why. Session management, story-to-prompt conversion, automatic status sync.
Ask your product anything. What are customers saying about onboarding? What's blocking the team? Why did we make that decision? Answers sourced from live graph data — never generic.
Every artifact knows what produced it and what it feeds into. The provenance chain that makes your agents trustworthy and your decisions defensible — permanently.
Stop watching strategic intent disappear between the roadmap and the Jira ticket. DecisionGraph keeps every decision connected to the customer signal that justified it — visibly, permanently, queryably.
You write the brief. DecisionGraph handles synthesis, decomposition, and execution context. You stay focused on what to build next — not on chasing status from your AI agent.
Run client engagements through DecisionGraph. Interviews become insights, insights become specs, specs become working software. The whole engagement is traceable — and defensible.
Start anywhere. Add what you need. Connect your existing inputs. The signal compounds.