Rencom
Rencom provides reinforcement learning environments—"training gyms"—where AI agents can practice real work like writing code, filing tickets, or updating spreadsheets. The company has built hundreds of gyms that mimic popular software such as Slack and Salesforce, each shipping with problems, datasets, and infrastructure. Integration requires only a few lines of code, enabling research labs and product teams to set up realistic training loops quickly.
- Artificial Intelligence
- Developer Tools
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
AI agents deployed in real workplace tools often fail because they lack opportunities to practice on realistic, task-oriented environments before being released. General-purpose training data does not capture the specific workflows, interfaces, and edge cases found in software like Slack or Salesforce, leading to poor performance and unreliable automation.
Solution
Rencom provides reinforcement learning environments—"training gyms"—where AI agents can practice completing real work, such as writing code, filing tickets, or updating spreadsheets. The company has built hundreds of gyms that simulate popular software platforms, allowing agents to learn and improve through trial and error. Each gym ships complete with problems, datasets, and the infrastructure needed to run training at scale. Integration is designed to be simple, requiring only a few lines of code, so research labs and product teams can quickly set up realistic training loops.
Target Audience
Primary customers are frontier research labs and "neo labs" focused on developing AI agents that operate reliably in enterprise and productivity software environments.
Features
- Hundreds of pre-built training gyms that mimic popular software including Slack and Salesforce
- Exercise sets and datasets included with each gym to support supervised fine-tuning and reinforcement learning
- Infrastructure packaged for immediate deployment, reducing setup overhead for research teams
- Integration achieved in a few lines of code, enabling rapid adoption into existing agent training pipelines