AppFactor, an agentic orchestration platform focused on autonomous maintenance for enterprise software, has raised a $4 million seed round to accelerate go-to-market execution and expand product capabilities, including autonomous refactoring to turn legacy systems into secure, cloud-ready applications that can maintain themselves. The round was led by Tensor Ventures, with participation from Begin Capital, Adara Ventures, and Narwhal Investments.
AppFactor is based in London and positions its product as a hands-off alternative to AI coding assistants, targeting the ongoing burden of bug fixes, vulnerability patching, dependency updates, and other maintenance tasks that can consume a large share of engineering time.
Instead of embedding an assistant within an IDE, AppFactor says it operates as an orchestration layer for specialized AI agents that can execute routine fixes, as well as full migrations and rewrites. The company also highlights a dynamic discovery system that scans where software is running and identifies vulnerabilities, code quality issues, and infrastructure misconfigurations in real time, paired with build agents and deployment tooling built for cloud-native environments.
AppFactor argues its advantage comes from providing AI agents with a broader context than a single repository, including workload topology, dependencies across multiple codebases, underlying infrastructure, and architectural interdependencies. The company says each agentic task produces human-readable success criteria tied to specific objectives, with opportunities for review and approval before release.
The platform is designed to fit within established enterprise guardrails by working through pull requests, approval gates, and existing code review processes, with auditability throughout the change pipeline. AppFactor says early large enterprise customers are using the product to compress modernization timelines and adopt more cost-efficient cloud patterns such as serverless compute, managed databases, and event-driven architectures.
A notable product direction is autonomous code regeneration in Rust, which AppFactor describes as a way for enterprises to improve memory safety and performance while potentially reducing cloud costs, without needing to staff large specialist teams or pause other engineering priorities. The company frames this as a way to address large-scale technical debt and modernization backlogs across regulated and IT-intensive industries.
KEY QUOTES
“Enterprises have brilliant engineers spending the majority of their time maintaining the past instead of inventing what’s next. AppFactor changes that by turning software upkeep into an autonomous, closed-loop process. With the AppFactor Agentic Orchestration Platform handling maintenance, teams move much faster on the initiatives that grow the business.”
Keith Neilson, CEO, AppFactor
“We have been in the advanced software field for two decades, but we have never seen a company that could monitor, modernize, and then deploy updates to functioning applications without impacting the end users. This is a real game changer in the field of Software 3.0,”
Ondřej Lipold, Partner, Tensor Ventures
“Every large, complex enterprise like financial services, healthcare, retail, or manufacturing, needs AI and modern technology to compete. But legacy sprawl stands in the way. AppFactor’s self-modernizing platform tackles the 1.5 trillion dollar technical debt problem holding these companies back, letting them unlock AI capabilities across their entire software estate, legacy systems included, today.”
Saagar Bhavsar, General Partner, Begin Capital
