Comper
Comper provides an enterprise-grade platform that transforms an organization's entire software estate into one continuous, queryable model, combining deterministic insights with AI to deliver real-time, code-grounded answers. The platform connects to Git platforms in one click, updates with every pull request, and lives in Slack, Microsoft Teams, and its own interface, serving engineering leaders, engineers, and product managers. It replaces the need for separate developer portals, code analytics, and productivity tools by consolidating them into a single living context computed directly from the code.
- Developer Tools
- Enterprise Software
- Artificial Intelligence
- Software Only
- Data & Analytics
- AI Agents
Funding
Founders
Founder details are not available yet.
Product
Problem
Modern engineering environments contain vast amounts of code, yet understanding entire systems still relies on human effort. This creates a "Dark Code" divide between what code exists and what teams actually understand, leading to slower decisions, rising IT costs, and persistent quality and security issues. Teams struggle with questions like "Is it shipped yet?", "Who knows how this legacy feature works?", and "What does this PR actually break?" that require time-consuming manual investigation.
Solution
Comper provides a centralized enterprise-grade engine that transforms an organization's entire software estate into one continuous, queryable model. The platform combines deterministic insights with AI to create a context layer that maintains living documentation, instant insights, and actionable workflows for both humans and AI agents. It connects to Git platforms in one click and updates with every pull request, so answers reflect the current state of the code. Comper lives in Slack and Microsoft Teams as well as its own platform, allowing users to ask questions in natural language and receive answers grounded in code with evidence. The platform consolidates what other tools show only in fragments, offering a complete view of the organization's codebase regardless of age, language, size, or setup, and includes a real-time visual map showing the entire shape and history of a codebase.
Target Audience
Primary customers are engineering leaders, CTOs, engineering teams, and product managers in enterprises navigating complex, large-scale software environments who need real-time, code-grounded answers about delivery status, technical feasibility, dependencies, and team knowledge.
Features
- Purpose-built engine that turns the whole software estate into one continuous, queryable model supporting any age, language, size, or setup
- Real-time visual maps showing the entire shape and history of a codebase, including project evolution, activity patterns, and language composition
- AI-maintained documentation that stays in sync after every push, preventing the staleness common in traditional documentation
- GitShuffle game that tests whether teams share the same mental model of their codebase by guessing where code snippets live
- Enterprise-ready architecture with security by design, access controls, and on-premise or EU-hosted SaaS deployment options with bring-your-own LLM support
- Four-phase approach (See, Explore, Understand, Action) with public boards available for open-source projects like Rust and OpenClaw
- Integrations with GitHub, GitLab, Bitbucket, and Azure DevOps via one-click connection
- Natural language query interface in Slack, Microsoft Teams, and the Comper platform with evidence-backed answers