GREP AI
Grep provides a platform for creating self-improving AI agents that automate repetitive business and development workflows. Teams can design reusable agents with specific instructions, tools, and output formats, then scale them across batches, scheduled loops, and multi-agent campaigns. The platform includes TypeScript and Python SDKs, MCP-based integrations for coding agents, and a library of 250+ pre-built agents for tasks like research, merchant classification, and risk assessment.
- AI Agents
- Artificial Intelligence
- Developer Tools
- Enterprise Software
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Engineering and operations teams face repetitive, manual workflows that consume significant time and slow down delivery. Coding agents lack structured, reusable methods for handling recurring tasks, forcing teams to reinvent processes and manage connections and routing manually.
Solution
Grep provides a platform for creating self-improving AI agents that automate repetitive work across business and development workflows. Users define reusable agents around their specific processes—including instructions, evidence, tools, and output formats—and then run them on new inputs, scaling to batches, scheduled loops, and multi-agent campaigns. The platform includes a developer hub with TypeScript and Python SDKs, an API playground, and MCP-based integrations that let coding agents automate routing, connection management, and repeated work optimization. Grep's agents learn from usage patterns to continuously improve how recurring tasks are handled, and the platform offers pre-built skills for common tasks like research, reporting, and market monitoring.
Target Audience
Primary users are engineering teams and developers who use coding agents, as well as business operations teams in financial services and other industries needing to automate research, classification, and monitoring workflows.
Features
- Installable skills and MCP-based integrations for coding agents
- Reusable agent definitions with instructions, evidence, tools, and output formats
- Batch processing, scheduled loops, and multi-agent campaign orchestration
- TypeScript and Python SDKs for programmatic agent creation and management
- Cloud-hosted API with OAuth authentication and REST endpoints
- Pre-built workflow skills covering routing, connection, agent lifecycle, and optimization
- Self-improving agents that learn from usage patterns to optimize repeated work
- Agent swarms that divide complex tasks between specialist agents with isolated execution, scoped access, and audit trails
- Per-run cost limits and usage tracking for spend control
- Enterprise controls including role-based access, data retention controls, and no training on customer data