Product
Shipping what matters with the full product context.
Customer signals, competitive intel, and decision history are scattered across tools. Coconut connects them into one context layer every AI tool in your stack draws from.
Spec context
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Where product teams see the difference
Customer signals
What customers are asking for, without pulling it together yourself
Feedback from CS calls, Sales conversations, and support tickets is already in the context layer. Product stops missing signals that never got surfaced.
Competitive intelligence
Competitive context that informs decisions, not just conversations
What competitors are shipping gets discussed and forgotten. When competitive context is in the layer, it reaches the spec, the prioritization call, and the roadmap tradeoff. Not just the team meeting.
Spec writing
PRDs grounded in the full context, not just what you could find in time
Customer signals, competitive context, and strategic priorities are in the context layer. Specs reflect the real picture, not just what was easiest to pull together.
Decision rationale
The why behind the roadmap, not just the what
The reasoning behind every roadmap call is in the context layer. New PMs understand the why without hunting for it, and future decisions build on what's already been worked through.
Cross-team context
Product context that travels to every team that needs it
Sales, CS, and Engineering all draw from the same product foundation. When anyone needs to know what's shipping, what changed, or why a decision was made, the answer comes from current context, not a slide deck nobody updated.
Explore other teams
Give your product team AI that knows what customers need.
Start with a focused pilot. Most teams see meaningful impact within weeks.