Every model family, integration surface and analytics accelerator the platform supports out of the box — the raw material for building any AI or analytics workload on VivekAI.
Classical, deep-learning, transformer and reinforcement-learning models all live in the same governed registry — versioned, auditable, and callable through a single inference API.
Fifteen integration surfaces cover the databases, applications, protocols and streaming systems that carry data through a modern enterprise — with governed lineage on every hop.
Pre-packaged analytics use cases for the workloads deployments most often need first — each with reference data schemas, sample models, and representative dashboards.
Anomaly detection and remaining-useful-life models for industrial equipment.
Segmentation, churn, LTV and next-best-action across CRM touchpoints.
Territory-, product- and channel-level demand and revenue forecasts.
Time-series and hierarchical forecasts for supply planning and stocking.
Credit risk, portfolio VaR, AML and stress-testing pipelines.
Clinical outcomes, readmission risk, resource utilisation, population health.
Yield prediction, soil & weather models, crop advisory intelligence.
OEE, quality prediction, defect detection and process optimisation.
End-to-end visibility, resilience scoring and inventory optimisation.
Load forecasting, grid stability, consumption anomaly detection.
Traffic, safety, utilities and citizen-service intelligence on GIS.