Wato provides a unified Memory, Tools, Workflows, and Agent (MCP) platform that lets teams store and retrieve contextual knowledge, integrate approved tools, and run collaborative cloud‑agent sessions. By linking runbooks, incident fixes, and code repositories, it enables engineers, sales, ops, and support to automate workflows and preserve investigation context for future use.
Funding
Funding not disclosed
Founders
Product
Problem
Teams using AI agents often struggle with fragmented knowledge, inconsistent tool access, and missing context across incidents and workflows, leading to duplicated effort and slower resolution.
Solution
Wato offers a unified Memory, Tools, and Workflow platform (MCP) that supplies each AI agent with the appropriate context, approved tools, and collaborative cloud sessions. By ingesting runbooks, incident fixes, deployment notes, and linking to source repositories such as GitHub and Linear, the platform creates a durable, searchable memory of investigative data. Agents can retrieve this information, execute approved actions, and preserve new findings for future use, ensuring that AI‑driven work compounds across the organization. Permission controls enforce granular access, while a single MCP setup works across multiple AI models (e.g., Codex, Claude, Cursor). This streamlines incident response, debugging, and knowledge transfer for engineering, sales, ops, finance, support, and research teams.
Target Audience
Primary customers are engineering, sales, operations, finance, support, and research teams that rely on AI agents for incident handling, debugging, and workflow automation.
Features
- Centralized knowledge base that indexes runbooks, incident resolutions, deployment notes, traces, and pull requests
- Integrated connectors to GitHub, Linear, PagerDuty and other approved systems with fine‑grained access controls
- Collaborative cloud agent sessions that let multiple users and AI agents work together in real time
- Context‑aware tool invocation so agents can execute approved actions without manual configuration
- Persistent memory storage that automatically records investigation outcomes for future agents and teammates
- Compatibility with major AI models (Codex, Claude, Cursor, etc.) through a single MCP client