Collega AI
Collega AI pairs each employee with an autonomous AI colleague and coordinates them across projects and teams. The platform combines a private RAG knowledge engine, tool-using agents, and a human-centric orchestration layer to give individuals the operating reach of a coordinated team. It is designed for organizations that want their people to remain in command of AI-driven workflows.
- Artificial Intelligence
- AI Agents
- Enterprise Software
- Software Only
Funding
Founders
Product
Problem
Organizations struggle to scale knowledge work because human expertise is siloed across documents, emails, and enterprise systems, while AI agents often operate in isolation without proper governance or coordination. This fragmentation limits productivity, slows decision-making, and prevents teams from fully leveraging their collective knowledge and tools.
Solution
Collega AI pairs each person with an AI colleague and coordinates them across projects and teams, creating a unified human-AI workforce. The platform provides a private RAG knowledge engine that indexes documents, emails, engineering files, and ERP exports, making them answerable with grounded responses and source citations. Collega Agents plan, call tools, and verify outcomes using that knowledge, while a human-centric orchestration layer routes requests and shares governed context between people and their agents. This coordination fabric ensures humans stay in command while AI colleagues handle execution, giving one person the operating reach of a coordinated team.
Target Audience
Primary customers are small-to-mid-sized organizations and individual professionals who need to amplify their operational reach by integrating AI agents into daily workflows across knowledge management, project coordination, and enterprise system access.
Features
- Private RAG knowledge engine that indexes documents, spreadsheets, engineering files, CRM data, and ERP exports with tenant-level privacy
- Grounded responses with source citations to ensure answer traceability and accuracy
- Autonomous agents that plan, call tools, and verify outcomes using organizational knowledge and memory
- Human-centric orchestration layer that routes requests and shares governed context between humans and AI agents
- Upcoming skill distillation and connected execution across CRM, ERP, inbox, Slack, and Teams through MCP (Model Context Protocol)
- Bring-your-own-AI support for connecting external agents to the platform