Sema4.ai is an Atlanta-based enterprise AI company formed after acquiring open-source RPA pioneer Robocorp in January 2024. The combined entity offers a full-stack platform for building, deploying, and managing AI agents that automate complex knowledge work across finance, procurement, supply chain, and compliance functions. The company raised $55.5 million across 2024-2025 from investors including Benchmark, Mayfield Fund, Canvas Prime, Rocketship VC, and Cox Enterprises. The Agents product is the core runtime layer of the platform. Agents are defined via natural-language Runbooks, which let business users describe processes in plain English without writing code. Worker Agents execute these Runbooks autonomously 24/7, connecting to emails, enterprise applications (SharePoint, SAP), data sources, and external APIs via pre-built Actions. Agents can also be triggered by enterprise events such as incoming emails or AWS Lambda invocations. A key differentiator is persistent agent memory: when a human corrects how a vendor invoice should be handled or flags a data format variation, the agent retains that correction permanently and applies it to all future runs automatically. This feedback loop means the system improves continuously without re-training cycles. Every action and decision is logged and explainable, giving compliance teams a full audit trail. The platform is offered in two deployment tiers. Team Edition runs natively inside the customer's Snowflake account using Snowpark Container Services and is available via the Snowflake Marketplace with a 30-day free trial. Enterprise Edition runs in the customer's AWS VPC, supports unlimited workspaces, and includes advanced governance, multi-cloud support, and dedicated infrastructure. Both tiers include Document Intelligence for extracting structured data from complex documents, and integrations with Microsoft Teams and Slack for human-in-the-loop collaboration. Sema4.ai positions its approach under a 'SAFE' framework (emphasizing security, auditability, flexibility, and enterprise-readiness), distinguishing it from simpler prompt-chaining tools by providing production-grade lifecycle management via its Control Room, which handles deployment, monitoring, and access controls across agent workforces. Key features: - Natural-language Runbooks: agents are defined and maintained in plain English by business users, no code required - Persistent agent memory: corrections and preferences made by humans are retained and applied to all future runs automatically - Worker Agents operating 24/7 that respond to enterprise events (email, APIs, AWS Lambda triggers) - Document Intelligence for end-to-end automation of document-centric workflows with high precision extraction - Control Room for full lifecycle management: deployment, monitoring, governance, and access control - Native Snowflake deployment (Team Edition via Snowpark Container Services) and AWS VPC deployment (Enterprise Edition) - Pre-built Actions connecting to SharePoint, SAP, and other enterprise systems plus support for external MCP servers - Microsoft Teams and Slack integration for human-in-the-loop collaboration steps
Team Edition: per-agent per-day pricing starting at $15, plus Snowflake infrastructure costs (SPCS and Cortex); 30-day free trial on Snowflake Marketplace. Enterprise Edition: custom pricing, runs in customer AWS VPC.