London-based AppFactor has raised $4 million in seed funding to scale its AI-driven platform that automates the maintenance and modernisation of enterprise software.
The round was led by Tensor Ventures, with participation from Begin Capital, Adara Ventures, and Narwhal Investments. The new capital will be used to accelerate go-to-market efforts and expand the platform’s autonomous capabilities.
Turning software upkeep into an autonomous process
AppFactor focuses on a growing pain point for large companies: engineers spending most of their time maintaining legacy systems rather than building new products. The company’s platform uses a network of AI agents to handle routine but time-consuming tasks such as bug fixes, security patches, dependency updates, and code refactoring.
“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,” said Keith Neilson, CEO of AppFactor.
How AppFactor works
Unlike AI coding assistants that sit inside code editors, AppFactor operates as an orchestration layer above the software stack. Its AI agents continuously scan where applications are running, identify issues in real time, and then fix, test, and deploy changes with minimal human input.
The platform understands the full context of an application, including repositories, dependencies, infrastructure, and runtime behaviour. This allows it to make safe, informed changes while still integrating with existing enterprise workflows, such as pull requests, approvals, and audits.
One key use case is vulnerability management. When a known security issue or critical vulnerability is detected, AppFactor can identify the issue, generate a fix, run system-level tests, verify performance, and roll the update into production using gradual deployment.
The UK company also supports autonomous code regeneration in Rust, a language known for strong security and performance. This opens the door for companies running legacy systems, including older languages and costly cloud workloads, to modernise without hiring large specialist teams or pausing other projects for months.
AppFactor says early enterprise customers are already using the platform to shorten modernisation timelines and move applications to more efficient cloud architectures. By automating maintenance at scale, the company aims to help large organisations finally reduce years of accumulated technical debt.
AppFactor positions itself as a hands-off way for enterprises to keep software secure, modern, and cloud-ready, while giving engineers back the time to build what’s next.
