Autoheal Secured $7.9 Million in Seed Funding
The startup aims to scale enterprise AI agent management following a new round of seed investment.
Updated on Sept. 28, 2026 in Artificial Intelligence
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Autoheal has raised $7.9 million in a seed funding round led by Innovation Endeavors. The platform provides infrastructure designed to manage enterprise AI agents within software development environments.
Why it matters
Repetitive software development lifecycle workflows currently consume more than one third of engineering capacity. Autoheal provides a unified model to help platform engineering teams scale and manage their AI agents securely.
The firm secured $7.9 million in seed capital, a significant milestone following the founders' history of scaling Harness to $200 million in annual recurring revenue. The company currently serves enterprise clients including Nomura Bank, AvidXchange, and Empiric Earth.
The players
Autoheal
Autoheal is a technology company that provides infrastructure for managing enterprise AI agents and optimizing software development workflows.
Innovation Endeavors
Innovation Endeavors is an early-stage venture capital firm that led the seed funding round for Autoheal.
Harpinder Singh
Harpinder Singh is an investor who joined the board of directors at Autoheal following the company's recent funding announcement.
The details
Autoheal connects coding agents, repositories, and CI/CD tools to create a shared engineering context graph. Its Evaluator agent assesses performance using incident data and review comments, while its Healer agent initiates pull requests to improve the performance of lower-scoring agents.
Timeline
The $7.9 million seed funding round was announced on September 28, 2026.
Market Landscape
This move positions Autoheal to capture value in the rapidly expanding enterprise AI agent sector, which is increasingly focused on replacing manual SDLC tasks. By automating the governance of coding agents, the company seeks to carve out a niche alongside established DevOps infrastructure providers.
Enterprise engineering teams may soon see shifts in how their coding tasks are managed as the company expands its platform. Users of platforms like Nomura Bank and AvidXchange will likely interact with more automated oversight regarding pull requests and performance feedback.
The takeaway
The rise of enterprise-managed AI agents signals a broader shift toward automated governance in software engineering. Companies are increasingly moving beyond simple code generation to implement systems that actively maintain and refine their digital architecture.
Further reading
For more context on current trends in autonomous coding tools, visit the Artificial Intelligence section.
More information
Learn more about the platform and its infrastructure capabilities on the Autoheal company website.
Live Poll
Do you trust AI agents to manage and fix critical software engineering incidents?
