Within
Within provides an enterprise platform that maps how work actually happens by analyzing existing videos and documentation, then structures that knowledge into a "Work Brain" context graph that AI agents can run on. The platform's Companion tool passively observes work activity without requiring integrations, while the Advisor tool identifies automation opportunities with quantified ROI and feeds live context to AI tools via the Model Context Protocol (MCP). Customers like DoorDash captured 3,800+ processes in 14 weeks using the platform.
- Artificial Intelligence
- Enterprise Software
- AI Agents
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Enterprises struggle to deploy AI agents effectively because the knowledge of how work actually happens—the decisions, workarounds, and informal processes—lives in people's heads, not in documented systems. Traditional process audits and task mining are slow, requiring months of interviews and integrations, and often fail to capture the full operational picture needed for meaningful AI transformation.
Solution
Within builds a "Work Brain" that maps how a company actually works by analyzing existing videos and documentation, then structures that knowledge into a living context graph that AI agents can run on. The platform's Companion tool passively observes work activity to surface workflows and decisions without requiring integrations or lengthy interviews. The Work Brain then transforms this raw data into structured context that powers AI agents, models, and processes across the enterprise. Finally, the Advisor tool identifies automation opportunities with quantified ROI, recommends skills, and feeds live context to AI tools via the Model Context Protocol (MCP), enabling companies to turn employee know-how into automation opportunities in weeks rather than months.
Target Audience
Primary customers are large enterprises and Fortune 500 companies undergoing AI transformation, particularly finance, IT, operations, HR, and go-to-market functions, as well as private equity operating partners seeking operational improvements.
Features
- Companion tool that passively observes work activity and surfaces workflows, decisions, and patterns without requiring system integrations or manual interviews
- Work Brain context graph that structures organizational knowledge into a format AI agents and models can consume, with support for 3,000+ connected processes
- Advisor tool that scans processes, identifies top automation opportunities with ROI estimates (e.g., 25-55 minutes saved per task), and packages winning patterns into reusable skills
- MCP (Model Context Protocol) integration that feeds live context to major AI platforms
- User-controlled, anonymized data collection designed to map work without tracking individual workers
- Ability to capture thousands of processes in weeks (e.g., 3,800+ processes in 14 weeks at DoorDash, 4,000+ process variants in 9 days at ServiceNow)