
ConvoStats is a software company offering an Observability Platform that automates the rearchitecting of monolithic codebases into modular architectures such as microservices or serverless. The platform uses AI to map codebases, identify business domain boundaries, detect architectural blockers like circular dependencies, and autonomously implement code changes to fix these issues. This enables faster, more reliable feature development and scalable application architecture. The company targets software development teams, providing value to executives, architects, and engineers by quantifying effort, automating architecture mapping, and handling refactor tasks with AI. ConvoStats emphasizes domain-driven design and incremental transition strategies to minimize risk and maintain system stability.

ConvoStats is a software company offering an Observability Platform that automates the rearchitecting of monolithic codebases into modular architectures such as microservices or serverless. The platform uses AI to map codebases, identify business domain boundaries, detect architectural blockers like circular dependencies, and autonomously implement code changes to fix these issues. This enables faster, more reliable feature development and scalable application architecture. The company targets software development teams, providing value to executives, architects, and engineers by quantifying effort, automating architecture mapping, and handling refactor tasks with AI. ConvoStats emphasizes domain-driven design and incremental transition strategies to minimize risk and maintain system stability.
What they do: Observability platform that maps monolithic codebases and automates rearchitecting into modular architectures using AI
Core capabilities: Auto-mapping, domain detection, blocker detection (e.g., circular dependencies), and AI-driven automated code changes
Target users: Software development teams (executives, architects, engineers)
Rearchitecting legacy monolithic codebases into modular, microservices, or serverless architectures while minimizing risk and effort.
Developer tools / Software observability
Total Funding: 5000000.00