Robocorp offers an enterprise AI agent platform that enables finance and operations teams to build, run, and manage autonomous agents for complex, high‑volume financial workflows. Using low‑code Runbooks and a context layer that unifies data from ERP, accounting, and cloud systems, the platform automates tasks such as invoice reconciliation, AP help‑desk queries, and receivables matching, reducing manual effort by up to 90% while maintaining security within the customer’s VJSON
Funding
$25M raised to dateRaised 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
Product
Problem
Enterprises face low productivity and high error rates because employees must switch between multiple applications, rely on undocumented “tribal knowledge,” and use traditional automation tools that cannot handle complex, decision‑making processes. This leads to costly manual work in finance functions such as invoice reconciliation, accounts‑payable help desks, and receivables matching.
Solution
Robocorp provides an enterprise AI agent platform that lets organizations build, run, and manage autonomous agents using their own large language models, cloud infrastructure, and data sources. Agents execute finance workflows—e.g., invoice reconciliation, AP ticket handling, and remittance matching—by integrating directly with ERP, accounting, and other business systems. The platform’s context layer creates a unified view of data, enabling natural‑language interaction and consistent business understanding. Agents operate 24/7, reducing manual effort by up to 90% while improving accuracy and response times. A low‑code Runbook interface allows non‑technical users to create and control agents, and the solution runs within the customer’s AWS or Snowflake VPC for full security and compliance control.
Target Audience
Primary customers are finance and operations teams in mid‑size to large enterprises that need to automate complex, high‑volume financial workflows while maintaining security and control over their data and AI models.
Features
- AI agents that automate end‑to‑end finance processes such as Quote‑to‑Cash, Procure‑to‑Pay, invoice reconciliation, AP help‑desk queries, and receivables matching
- Context layer that consolidates data from multiple sources to provide a shared business view for agents and users
- Runbooks with natural‑language authoring for non‑technical users to create, edit, and manage agents
- Integration with enterprise‑approved LLMs (OpenAI, Azure, Amazon Bedrock, Snowflake Cortex) and existing cloud environments (AWS, Snowflake)
- Secure execution within the customer’s VPC, supporting compliance, observability, and role‑based access control
- 24/7 “always‑on” agents that continuously monitor and act on tasks without human intervention
- API‑driven AI Actions for rapid connection to applications and data platforms