Per-Asset Predictive APIs
Built for Operations

Operations teams have telemetry, but not reliable prediction their systems can run — so decisions stay manual, reactive, or late.

Assets behave differently and data changes over time, so generic models miss failures and prediction never reaches operations as a dependable service.

SOLVER-AI builds, updates, and runs custom predictive services as APIs — often one model per asset (each asset gets its own model) or per equipment type.

Prediction is embedded directly into your systems, not delivered as model files you must deploy.

Custom APIs are built on the SOLVER‑AI platform, so model build, updates, and execution are already handled.

That means multiple models and logic can be combined into one deployable API without rebuilding the stack.

• Connect data (files or live telemetry; validation handled inside the service).
• Models update per asset (new data triggers background updates with no interruption to live predictions).
• Call the API from your product or workflow (stable endpoints, business-ready outputs).

Integration-first: REST / HTTP + client libraries (Python, JavaScript, C++).

• NVIDIA Inception member.
• Founded by Dr. Paolo Fantini with 20+ years building optimisation and computational platforms.
• Operationally validated at proof-of-concept grade; no production SLAs or automated control by default.

Book a call and we’ll define one concrete operational decision and a tight predictive API aligned to your systems and workflows.