Propane
An agentic product workspace that connects customer data across your entire stack, giving product teams and their agents shared, always-current context to build from.
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Product Overview
What is Propane?
Propane is a product intelligence platform built for modern product teams and the agents they work with. It pulls customer signals from every tool and interaction into one unified context layer — so PMs, designers, and coding agents all build from the same live source of truth. The platform combines Spaces for project organization, a collaborative Canvas for shaping ideas into structured documents, AI chat across your data sources, and research agents for running scalable customer interviews. With a flat-fee pricing model, SOC 2 Type II certification, and one-click handoff to coding agents, Propane is designed to close the gap between customer understanding and product execution.
Key Features
Unified Customer Context
Connects your entire tool stack — CRMs, support tools, competitor data, and more — into one shared, always-updating context layer accessible by every team member and agent.
Spaces & Canvas
Spaces organize work by product area or initiative; the Canvas is a live collaborative document where teams and AI shape plans, write specs, and align on direction in real time.
Research Agents
Run scalable, contextual 1:1 customer interviews on autopilot — covering win/loss, churn, onboarding, and NPS — with results synthesized into actionable insights automatically.
One-Click Agent Handoff
Packages the full customer and product context into a structured brief and hands it directly to coding or design agents, enabling faster and more accurate execution.
Flat-Fee, Unlimited Users
One plan at €50/month covers the full platform for unlimited users, with additional cost only for the volume of customer context indexed — capped at €2,000/month.
Use Cases
- Product Decision-Making : Product managers can ground roadmap prioritization and feature decisions in live customer signals rather than fragmented, manually gathered data.
- Customer Research at Scale : Growth and CX teams can deploy research agents to run thousands of contextual interviews for churn analysis, win/loss, and onboarding feedback without manual effort.
- Cross-Team Alignment : Design, product, and engineering teams collaborate on a shared canvas with the same customer context, eliminating the lag and misalignment caused by siloed tools.
- Agentic Development Workflows : Engineering teams and coding agents receive richly mapped briefs with full customer context, enabling higher-quality output and faster shipping cycles.
- Competitive Intelligence : Teams can index competitor data alongside customer signals, keeping product strategy informed by external market movements as well as internal feedback.
FAQs
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