Your Agents Don't Know Your Product.Hissuno Fixes That.
Hissuno builds the organizational knowledge layer your AI agents are missing - connecting customer signals, product goals, issues, docs, and codebase into one traversable graph.
Your Product Data Is Trapped
Every product agent needs the same context - your codebase, docs, customer history, feedback. But each rebuilds its own fragmented view from 10+ scattered tools.
Knowledge Graph
One graph. Every agent connected.
10+ tools. No shared context.
How It Works
From scattered data to a traversable knowledge graph in three steps
Connect Sources
Slack, Intercom, Gong, GitHub, email — connect the tools where product signals already live.
Build the Graph
Hissuno comes with prebuilt agentic workflows that build your connected knowledge graph and enrich data intelligently.
Expose to Agents
MCP, CLI, API - your AI agents traverse the graph and query product intelligence natively.
Agent-Native Interfaces
Your agents don't need a browser. They traverse the graph directly.
ask_hissuno, list_resources, get_resource, search_resources, add_resource, list_resource_types
Built-In Agents, Powered by the Graph
Production-ready agents that show what's possible when AI can traverse your entire product graph.
The Cost of Scattered Context
When every agent builds its own fragmented view, everyone loses.
“Our support agent couldn't answer basic product questions because the knowledge was split across 6 different tools.”
VP of Product
Series B Startup
“We built an AI copilot but it hallucinated constantly. Turns out it had no access to real customer context or product data.”
Head of Engineering
SaaS Company
“Every agent we tried needed its own MCP server, its own data pipeline, its own context. We were building infrastructure instead of product.”
Engineering Lead
B2B Platform
“Our PM spent 10 hours a week copy-pasting between Slack, Linear, and spreadsheets just to understand what customers were asking for.”
Founder
Early-stage Startup
“We had customer feedback in Intercom, product specs in Notion, issues in Linear, and insights in nobody's head. Nothing was connected.”
Director of Product
Enterprise Software
“Our AI agent gave a customer completely wrong information because it couldn't access the latest product changes. We lost the deal.”
Account Executive
Growth Company
“Three teams built three different 'customer intelligence' dashboards. None of them talked to each other.”
Product Manager
Dev Tools Company
“We wanted to give Claude access to our product knowledge. It took 3 engineers 2 months to build the data layer. That's the problem.”
CTO
Fintech Startup
“Our support agent couldn't answer basic product questions because the knowledge was split across 6 different tools.”
VP of Product
Series B Startup
“We built an AI copilot but it hallucinated constantly. Turns out it had no access to real customer context or product data.”
Head of Engineering
SaaS Company
“Every agent we tried needed its own MCP server, its own data pipeline, its own context. We were building infrastructure instead of product.”
Engineering Lead
B2B Platform
“Our PM spent 10 hours a week copy-pasting between Slack, Linear, and spreadsheets just to understand what customers were asking for.”
Founder
Early-stage Startup
“We had customer feedback in Intercom, product specs in Notion, issues in Linear, and insights in nobody's head. Nothing was connected.”
Director of Product
Enterprise Software
“Our AI agent gave a customer completely wrong information because it couldn't access the latest product changes. We lost the deal.”
Account Executive
Growth Company
“Three teams built three different 'customer intelligence' dashboards. None of them talked to each other.”
Product Manager
Dev Tools Company
“We wanted to give Claude access to our product knowledge. It took 3 engineers 2 months to build the data layer. That's the problem.”
CTO
Fintech Startup
“We wanted to give Claude access to our product knowledge. It took 3 engineers 2 months to build the data layer. That's the problem.”
CTO
Fintech Startup
“Three teams built three different 'customer intelligence' dashboards. None of them talked to each other.”
Product Manager
Dev Tools Company
“Our AI agent gave a customer completely wrong information because it couldn't access the latest product changes. We lost the deal.”
Account Executive
Growth Company
“We had customer feedback in Intercom, product specs in Notion, issues in Linear, and insights in nobody's head. Nothing was connected.”
Director of Product
Enterprise Software
“Our PM spent 10 hours a week copy-pasting between Slack, Linear, and spreadsheets just to understand what customers were asking for.”
Founder
Early-stage Startup
“Every agent we tried needed its own MCP server, its own data pipeline, its own context. We were building infrastructure instead of product.”
Engineering Lead
B2B Platform
“We built an AI copilot but it hallucinated constantly. Turns out it had no access to real customer context or product data.”
Head of Engineering
SaaS Company
“Our support agent couldn't answer basic product questions because the knowledge was split across 6 different tools.”
VP of Product
Series B Startup
“We wanted to give Claude access to our product knowledge. It took 3 engineers 2 months to build the data layer. That's the problem.”
CTO
Fintech Startup
“Three teams built three different 'customer intelligence' dashboards. None of them talked to each other.”
Product Manager
Dev Tools Company
“Our AI agent gave a customer completely wrong information because it couldn't access the latest product changes. We lost the deal.”
Account Executive
Growth Company
“We had customer feedback in Intercom, product specs in Notion, issues in Linear, and insights in nobody's head. Nothing was connected.”
Director of Product
Enterprise Software
“Our PM spent 10 hours a week copy-pasting between Slack, Linear, and spreadsheets just to understand what customers were asking for.”
Founder
Early-stage Startup
“Every agent we tried needed its own MCP server, its own data pipeline, its own context. We were building infrastructure instead of product.”
Engineering Lead
B2B Platform
“We built an AI copilot but it hallucinated constantly. Turns out it had no access to real customer context or product data.”
Head of Engineering
SaaS Company
“Our support agent couldn't answer basic product questions because the knowledge was split across 6 different tools.”
VP of Product
Series B Startup