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Refact aims to make code-generating AI more appealing to enterprises | TechCrunch

Jan 29, 2024 - techcrunch.com
Refact.ai, a platform co-created by Oleg Klimov, Vlad Guber, and Oleg Kiyasko, aims to encourage more companies to adopt GenAI for coding by offering more customization and control. Unlike its competitors, Refact can operate offline and does not upload basic telemetry data, addressing concerns about privacy and security risks. The platform uses compact, code-generating models trained on permissively-licensed code, which Klimov claims is a key competitive advantage. Despite skepticism from employers, Refact has managed to raise $2 million in funding and secure around 20 pilot projects with enterprise customers.

The London-based Refact team is now focused on upgrading the platform to run code autonomously, execute multi-step plans, and self-test code. Klimov revealed that the platform, which offers a cloud-hosted plan starting at $10 per seat per month, is generating revenue and is projected to earn a few million annually by this summer. He also mentioned that they are well-funded internally and have the necessary capital to continue building the product.

Key takeaways:

  • Oleg Klimov, Vlad Guber and Oleg Kiyasko co-created Refact.ai, a platform that uses generative AI models for coding, offering users more customization and control over the experience.
  • Refact.ai operates on-premise and doesn't require an internet connection, addressing privacy and security concerns associated with generative AI.
  • The platform uses compact, code-generating models trained on permissively-licensed code, avoiding potential intellectual property issues.
  • Refact.ai has raised $2 million in funding and is on track to earn a few million annually, with plans to upgrade the platform to run code autonomously and self-test code.
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