Comper
Comper provides an enterprise-grade software intelligence platform that creates a continuous, queryable model of an organization's entire codebase, bridging the gap between existing code and team understanding. The platform combines deterministic analysis with AI to generate living documentation, visual maps, and actionable insights for both human developers and AI agents. It supports any codebase regardless of age, language, or size, and offers on-premise or EU-hosted deployment options.
- Artificial Intelligence
- AI Agents
- Developer Tools
- Enterprise Software
- Software Only
Funding
Founders
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.
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 consolidates what other tools show only in fragments, offering a complete view of the organization's codebase regardless of age, language, size, or setup. Comper's intelligence layer applies opinionated, experience-driven guardrails to deliver current insights and continuous frameworks at scale, while its enterprise-ready design ensures security, access controls, and data sovereignty.
Target Audience
Primary customers are engineering leaders, CTOs, and development teams in enterprises navigating complex, large-scale software environments who need to maintain shared understanding across their organization.
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
- Four-phase approach (See, Explore, Understand, Action) with public boards available for open-source projects like Rust and OpenClaw