Runflow.ai is an AI agent orchestration platform that deploys autonomous agents to automate manual operational processes, from customer service to back-office workflows. The platform connects to 150+ enterprise systems and includes a multi-LLM architecture with persistent memory and full execution tracing. Runflow's forward-deployed engineers work alongside client teams to build and deploy custom agents into production, with a documented track record of doubling conversion rates and saving millions in operational costs.
Funding
Funding not disclosed
Founders
Product
Problem
Manual operational processes—from customer service to back-office tasks—consume significant human resources, slow down response times, and create bottlenecks that limit scalability. Many companies have attempted AI pilots that fail in real production environments due to poor integration with existing systems, lack of measurable outcomes, and no clear path from demonstration to deployment.
Solution
Runflow.ai provides an AI agent orchestration platform that deploys autonomous agents to handle any manual process, operating 24/7 and connected to a company's existing systems. The platform features a supervisor pattern where one agent coordinates others, persistent memory across sessions, and 150+ connectors for ERP, CRM, APIs, and channels, with anything missing converted to MCP. Runflow's forward-deployed engineers work directly with client teams to diagnose operations, build custom agents, and deploy them into production, with each solution becoming a reusable template. The platform supports multi-LLM flexibility—Claude, GPT, Gemini, Llama, Mistral, or proprietary models—with automatic fallback, and provides per-execution cost tracking with spending limits to prevent surprise bills.
Target Audience
Primary customers are mid-to-large enterprises in Brazil that have repetitive operational processes, particularly those who have either tried AI and stalled in pilots or haven't started yet and need a clear, ROI-prioritized roadmap for implementation.
Features
- Visual builder, TypeScript SDK, and conversation-based creation for building agents
- 150+ pre-built connectors for ERP, CRM, APIs, and channels, with MCP support for custom integrations
- Multi-LLM architecture supporting Claude, GPT, Gemini, Llama, Mistral, or proprietary models with automatic fallback
- Persistent memory between sessions so customers never repeat information
- Full execution tracing with replay capability to diagnose and fix errors
- Per-execution cost tracking by agent, area, and execution with spending limits
- Self-hosted or fully managed deployment options
- LLM Hub and Conversation Hub extensions for corporate LLM portal and official WhatsApp support