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Case studies

Relu enables enterprises to run mission-critical operations autonomously.

We build AI Operating Systems that unify data, encode operational logic, and execute actions end-to-end.

Automating Asset Allocation Without Losing Control

Hundreds of daily requests were handled manually, with scattered criteria and no traceability. We built a two-layer decision engine combining configurable business rules with AI when needed. The system automates decisions within defined thresholds, escalates exceptions, and keeps every outcome auditable, giving the team more time, control, and efficiency.

From Manual Review to Traceable Approval

An organization with thousands of employees was manually reviewing complex, interdependent documents, causing delays and repeated submissions. We built an end-to-end workflow where AI and business rules validate documents, flag specific issues, and enable corrections directly in the portal. Every decision is fully traceable, and workflow rules can be updated without redeployment.

Agreed Prices, Updated at Scale with Full Traceability

A large-scale organization managed agreed price updates with thousands of providers through emails, spreadsheets, and manual entries, with no visibility into the impact of each change. We built a production-ready platform integrated with its core system. Every price increase is recorded, fully traceable, and visible only to the relevant department and location.

Build operations that run themselves.

Forward Deployed Engineers, embedded in your operations. Measurable impact.

Start with Relu