AI agents for industrial data automation
Opus
Opus builds AI agents that cut paperwork in industrial order management. The system extracts and validates data from business documents such as purchase orders, order confirmations and delivery receipts, and connects with third-party systems.
- Client
- Opus
- Industry
- Industrial
- Discipline
- LLMs & AI Agents
- Our role
- Core data-processing engine and quality assurance
- Technology
- Python
- Supabase
- LiteLLM
- Langfuse
The challenge
Industrial order management runs on documents, and the same order passes through several of them: the purchase order, the confirmation, the delivery receipt. Opus set out to reduce that paperwork and streamline the process.
What we did
- Core data-processing engine
- Modular ETL pipeline
- Automated testing environment that continuously evaluates extraction accuracy
- Performance improvements
- Quality assurance for the statistical correctness of all calculations
The result
A product that groups documents across the full order cycle, validates them between process stages and integrates with third-party systems. It makes differences in costs and delivery times easier to spot and helps streamline communication with suppliers.
