Autoheal AI, Inc.

Based in the US, Autoheal AI, Inc. , operates as a provider of artificial intelligence-powered platforms for automating software development tasks. Based in San Francisco, the US and founded in 2025, Autoheal AI, Inc. offers solutions that enhance software development processes.

In September 2026, Autoheal AI, Inc. The funding will be used to scale its self-improving software factory and develop reinforcement-learning capabilities. Autoheal specializes in self-improving software factory solutions that automate and enhance software development life cycle (SDLC) processes. Their core offering revolves around autonomous AI agents capable of continuous learning from operational data, optimizing various tasks in cloud-based environments like incident response, vulnerability remediation, and coding cost efficiency.

These agents integrate seamlessly into existing workflows, allowing rapid deployment and scalability for large enterprises facing complex regulatory challenges. Targeted towards innovative engineering teams, Autoheal's platform has been successfully utilized by organizations across multiple sectors including finance, technology, and customer service, enabling them to improve operational velocity and reliability. The company's products are primarily offered in North America, Europe, and Asia, addressing the growing need for enhanced software development practices in competitive markets. Autoheal generates revenue through a SaaS model that offers subscription-based access to its suite of software solutions, tailored to meet the stringent demands of enterprise clients.

This model accommodates various tiers of service, allowing organizations of different sizes to leverage Autoheal's technology according to their specific needs and operational scale. Clients typically engage through structured contracts which may include ongoing support and updates, ensuring compliance with evolving industry standards. Autoheal's flagship offering empowers clients to significantly reduce Mean Time to Resolution (MTTR) and streamline their software release cycles, driving efficiency and cost savings as evidenced by client testimonials. The firm caters primarily to B2B arrangements, collaborating directly with enterprise-level businesses seeking advanced software solutions.

The company plans to scale its self-improving software factory for enterprise platform-engineering teams. It is also developing reinforcement-learning capabilities and enterprise-specific small language models using private software-development data, with later expansion into data and security engineering.