Opus
Opus provides an AI platform that automates purchase‑to‑pay (P2P) workflows for industrial firms by converting unstructured data from emails, PDFs, and Excel files into structured, decision‑ready information.
- Artificial Intelligence
- AI Agents
- Enterprise Software
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Industrial procurement teams spend extensive time manually processing unstructured documents such as emails, PDFs, and Excel files, leading to errors, delayed decisions, and fragmented master data across the purchase‑to‑pay (P2P) cycle.
Solution
Opus offers an AI platform that deploys autonomous agents to ingest and interpret unstructured procurement data, converting it into structured, decision‑ready information. The agents incorporate operational context—such as inventory levels, production plans, and contracts—to evaluate RFQs, reconcile invoices, monitor deliveries, and maintain master data without manual rule configuration. They execute end‑to‑end workflows by updating ERP systems, communicating with suppliers, and triggering follow‑up actions, while involving humans only when exceptions arise. Continuous learning improves data quality and decision accuracy over time, delivering measurable cost and time savings from day one. The platform integrates with existing email and ERP environments and can be operational within four weeks with minimal IT effort.
Target Audience
Primary customers are procurement and supply‑chain departments of industrial manufacturers that manage large volumes of unstructured purchase documents and rely on ERP systems for P2P operations.
Features
- AI agents that extract and structure data from emails, PDFs, Word, and Excel files without manual training
- Context‑aware decision logic that uses production plans, inventory levels, and contract terms to evaluate RFQs, invoices, and delivery updates
- Automated execution of P2P tasks: ERP updates, supplier communications, and workflow triggers in real time
- Parallel processing of multiple agents to handle concurrent procurement activities and maintain high throughput
- Continuous learning loop that refines extraction accuracy and decision models based on user feedback
- Seamless integration with existing email systems and ERP platforms, requiring minimal IT configuration
- Built‑in security and compliance controls to protect sensitive procurement data