A shared context board for product teams and AI agents.
Product memo
Targets product teams drowning in fragmented knowledge and struggling to operationalize AI. Positions itself as the 'context brain' that bridges strategic thinking with AI execution, integrating human collaboration with agent workflows. The wedge is a living, compounding context layer, making AI actionable with real business insights, unlike static documents or generic chat interfaces.
For who
Product teams and AI agents
Solves what
Centralized workspace for product context, decisions, and AI execution
- Shared context board
- AI agent integration
- Compounding knowledge base
In their own words
Your team's **context brain**
Kanwas gives teams & agents one place to create, edit, share and compound product context. Stop juggling Claude chats, local folders, Obsidian, VS Code, Git, and docs.
Kanwas gives product teams one workspace where strategy docs, market signals, and agent workflows stay connected so AI can execute with your real context.
Commercial cues
Model
subscription
Free tier
No
Trial
No
Operator context
Team
VC / larger team
Founded
May 2026
Platform
Web app
Audience
General
Social / footprint
Builder Strategy
- Strategy Type
- Wedge Expand
- Stage
- Vc Growth
- Effort
- Complex Stack
Targets product teams and AI agents with a 'context brain' wedge, expanding from knowledge management to AI execution.
Unfair Advantages
-
Proprietary Data Compounding knowledge graph creates a unique, defensible context moat.
-
Unorthodox Pricing Per-agent pricing model is novel and hard for incumbents to replicate.
Builder Lesson
Build a 'living context' moat by compounding user data into a defensible knowledge graph that AI can leverage.
Full Reasoning
Wins by attacking the 'AI fumbles strategy' problem head-on with a unique 'context brain' wedge, positioning itself as the essential layer for AI execution. The asymmetric bet is the compounding knowledge graph, which turns user data into a defensible moat that AI can uniquely leverage. Other builders should focus on solving the AI's input problem: how to give it real, structured context that grows over time, rather than just generic prompts.
About Kanwas Expand
Kanwas offers product teams a centralized workspace designed to bridge the gap between human strategy and AI execution. It acts as a 'context brain,' ensuring that all product-related information—from strategy documents and market signals to AI agent workflows—remains connected and actionable.
This platform is built for teams who want to leverage AI effectively, providing a compounding knowledge base where every piece of information contributes to a richer, more intelligent system. Unlike generic collaboration tools, Kanwas focuses specifically on the unique needs of product development, helping teams maintain a consistent, shared understanding that AI agents can tap into for more accurate and relevant outputs.
By integrating real-time collaboration with AI agent capabilities, Kanwas aims to eliminate fragmented knowledge and streamline the entire product lifecycle, from ideation to deployment.