ProdeologyProdeology

The Product OS that orchestrates the entire product lifecycle.

Behind every coding agent, a product brain. We discover, validate, prioritize, manifest, and learn. Middle-to-middle. AI runs the machinery; humans make the calls; the loop never opens.

Trusted by product teams shipping with AI
Prodeology's Feature Backlog — every feature scored on evidence, with the Swap Alert Feature Case open showing confidence across a dozen dimensions
91%
First-pass accuracy
−42%
Lower agent token spend
Closed-loop
Every shipped feature traced back

Building anything is easy. Building the right thing isn't.

Speed without judgment just ships the wrong thing faster.

Coding got 100× faster. Product thinking didn't. The bottleneck moved upstream — to the context, the conviction, the question of what's worth building. Your coding agents are brilliant. The loop above them is open.

Prodeology Feature Backlog ranked by a goal lens — every initiative carries a Validate or Defer verdict and a priority, with a 'needs work first' panel surfacing items whose briefs are too thin

Your product, fully connected — repo to data to user.

The context that makes AI useful can't live in a prompt window.

Generic AI starts every session from zero. We start with everything — your code, your customers, your decisions, every release you've ever made. The brain doesn't reset. It compounds.

4Surfaces
1.2kSignals
87Evidence
Prodeology Product Intelligence — a score that climbs as context layers fill: codebase, product foundation, market intelligence, strategy, design system, and integrations

Features, directions, and edges — surfaced, not solicited.

Enrichment streams in milliseconds. No waiting for the LLM to think.

We don't wait for you to ask. We enrich every signal from your code, customers, and data into three things worth acting on — a FEATURE worth building, a DIRECTION worth pursuing, an EDGE worth pressing. Each scored. Each grounded. Each ready to ship.

3Surfaced today
244Weighed & held
04:12Last update
Prodeology Enrichment suggestions — 38 surfaced from your code, customers and data: brief drafts and field updates, each acceptable or rejectable in one click

Ranked by goal, not by average.

Stop collapsing competing objectives into one number.

Every initiative gets a verdict — BUILD / VALIDATE / DEFER / KILL — scoped to your goal. Not a score that averages competing objectives into one number. Run two lenses side-by-side and see the tradeoffs in plain view. Stop collapsing decisions. Start making them.

4Lenses active
47Items ranked
6Tradeoffs surfaced
Prodeology Alignment View — initiatives ranked across two goals (Revenue Q2, Engagement Q2) and bucketed into obvious-yes, tradeoff, cut, and uncertain, each with a Build / Validate / Defer / Kill verdict

Built once. Hand off anywhere.

Cursor today. Claude Code tomorrow. Whatever ships next.

Every manifest is structured, evidence-scored, and grounded to real code in your repo. Reasoning attached. Alternatives kept. Handoff friction-free. Switch your downstream coding agent tomorrow; the upstream stays the same.

  • −42%Lower token spendFewer wasted runs from incomplete handoffs.
  • 91%First-pass accuracyFeatures ship without rework.
  • Agent-agnosticSame manifest works for any coding agent.
Prodeology Manifest — one agent-ready output that hands off anywhere: Open in Cursor, Open in Claude Code, Save to Folder, Copy as Markdown, or Download JSON, with quality scored across completeness, groundedness, testability, clarity, dependencies, and compliance

The first Product OS with a closed loop.

We don't hand off and forget. We watch what shipped, trace it back, and update the brain.

Most AI tools are open-loop: they help you start, then they're gone. We don't hand off and forget. We watch what shipped, trace it back, and update the brain. Predicted vs. actual. Assumptions vs. evidence. The next cycle starts where the last one ended. Closed-loop by default.

12Implementations traced
89%Spec-to-ship match
7Lessons fed back
Prodeology Closed-Loop outcomes — a shipped feature traced back to what produced it, predicted vs. actual results side by side, and the lessons fed back into the brain for the next cycle

Central governance for agentic development.

One place for your policies, your standards, your gates. Every output passes — no matter who authored it, no matter which agent executed it. Your standards, enforced everywhere.

Prodeology pipeline canvas — a User Interview pipeline of four steps, each owned by named agents, with a human review Gate between every step, plus the Skills, Rules and Context governing every run
The strategic layer
Built for the product, not the prompt.The system, not the session.The lifecycle, not the launch.

We sit above your coding agents and orchestrate the whole loop. Discover. Validate. Prioritize. Manifest. Learn. AI runs the machinery; humans make the calls; the loop never opens.

Product Operating System · Est. 2026