Recursiv Labs
Recursiv provides an infrastructure platform for deploying AI agents that reliably complete real business work. The platform syncs with company goals, simulates proposed changes on past work before going live, and measures agent performance against accuracy, speed, cost, quality, and safety metrics. It includes a free AI audit that ranks workflows by predicted ROI.
- AI Agents
- Artificial Intelligence
- Developer Tools
- Enterprise Software
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Companies struggle to deploy AI agents that reliably complete real work, as they often lack the infrastructure to integrate agents with business goals, monitor their activity, and verify their outputs. This leads to wasted effort, untrusted results, and difficulty scaling agent usage across teams.
Solution
Recursiv provides an infrastructure platform for building, deploying, and running AI agents that execute concrete tasks. The platform syncs with a company's business goals and roadmap, allowing agents to work autonomously and notify users when human input is needed. It offers a full suite of tools including an SDK, integrations, hosted compute, storage, databases, and sandboxes, all designed to support agents in production. Recursiv emphasizes verifiability, providing "receipts" that prove what agents have accomplished, and it integrates with third-party AI models and services to give customers flexibility. The company measures AI agents on accuracy, speed, cost, quality, and safety, comparing results against the customer's own team's work as a baseline. Recursiv provides written reports detailing what works, what does not, and what to do next, along with a plan to re-check when model changes occur.
Target Audience
Primary customers are engineering, operations, research, and release management teams at companies that want to automate complex workflows with AI agents while maintaining oversight and verifiability.
Features
- Platform, SDK, and integrations for building and deploying AI agents
- Hosted compute, storage, databases, and sandboxes for agent execution
- Workflow synchronization with business goals and roadmap
- Activity monitoring and notifications for human intervention
- Verifiable receipts and audit trails for completed agent work
- Integration with third-party AI models and services (e.g., Anthropic, Google, OpenAI)
- Scoring of AI agents against a customer's own completed work, with accuracy, speed, cost, quality, and safety metrics
- Under-control review covering access, sign-off, data handling, and audit trail
- Fixed-price first project for checking existing AI or building new AI on customer systems
- Free tier and beta features available