VivekAI is an enterprise-grade platform to collect, integrate, process, analyze and visualize structured, semi-structured and unstructured data across an entire organization — combining machine learning, deep learning, NLP, generative AI and real-time streaming analytics to power decisions at government and enterprise scale.
From ingestion pipelines and distributed processing to AI model lifecycle management (MLOps), interactive dashboards, automated reporting and secure API integration — VivekAI consolidates the tools an enterprise or public-sector organization needs to make data-driven decisions with confidence.
Built for government, public sector and large enterprise environments, the platform supports predictive, prescriptive, descriptive, diagnostic and cognitive analytics workloads on the same governed foundation.
Each module composes with the others through shared data, identity, model registry and reporting layers — so what runs in one part of the organization can be governed, audited and reused across all of it.
Predictive, prescriptive, descriptive, diagnostic and cognitive analytics on one engine.
Batch, stream and distributed computing with data lake and warehouse integration.
AutoML, training, feature engineering, validation, deployment and monitoring.
Vision, speech, time-series forecasting and recommendation systems.
Sentiment, classification, NER, translation, document intelligence and QA.
Enterprise chatbot, report and content generation, code and knowledge assistants.
Event processing, live dashboards, alert engine, KPI monitoring, streaming.
Executive dashboards, interactive charts, GIS analytics, heat maps, KPI scorecards.
Self-service BI, ad-hoc and executive reporting, OLAP and dashboard design.
Risk, fraud detection, root-cause analysis, what-if simulation, optimization.
Each layer is instrumented, governed and observable on its own, and composes into a single vertical pipeline from ingestion to intelligence.
Risk analysis, fraud detection, root-cause discovery, what-if simulation and optimization — with explainable AI (XAI) auditing every recommendation.
Enterprise chatbot, knowledge assistant, report and content generation, code assistance and document summarization — grounded on your data.
End-to-end model lifecycle: AutoML, feature engineering, training, validation, deployment and monitoring — governed via a central model registry.
Batch and stream processing, distributed computing, data lake management and warehouse integration for structured, semi-structured and unstructured data.
Connectors to SQL, NoSQL, ERP, CRM, IoT, SCADA, REST, SOAP, files, cloud storage, Hadoop, Kafka and MQTT — with governed pipelines and lineage.
Configurable industry accelerators, reference architectures and pre-trained models for the sectors where VivekAI is most frequently deployed.
Request a working demonstration on a representative dataset, review procurement-ready pricing, or download the product datasheet and deployment guide for evaluation.
Real-time view of ingestion, distributed processing and the ten functional modules running on the governed VivekAI foundation.
| # | Module | Workload | Jobs / day | Uptime | Status |
|---|---|---|---|---|---|
| 01 | AI Analytics Engine | Predictive · prescriptive | 18,420 | 99.98% | Operational |
| 02 | Big Data Processing | Batch · stream (Spark/Kafka) | 6,904 | 99.95% | Operational |
| 03 | Machine Learning Platform | AutoML · training | 1,286 | 99.92% | Operational |
| 04 | Deep Learning Framework | Vision · forecasting | 742 | 99.90% | Degraded (GPU-3) |
| 05 | Natural Language Processing | IndicNLP · document AI | 54,110 | 99.97% | Operational |
| 06 | Generative AI | RAG assistant · reports | 9,338 | 99.94% | Operational |
| 07 | Real-Time Analytics | CEP · live dashboards | — | 99.99% | Operational |
| 08 | Data Visualization | Dashboards · GIS | — | 100.0% | Operational |
| 09 | Business Intelligence | Self-service BI · OLAP | 3,015 | 99.96% | Operational |
| 10 | AI Decision Support | Risk · fraud · what-if | 2,640 | 99.93% | Operational |
Governed model registry spanning tabular ML, deep learning, IndicNLP and generative AI — each version tracked, validated and monitored for drift.
| Model | Family | Primary use | Ver. | Accuracy | Drift |
|---|---|---|---|---|---|
| RiskScore-Tabular | XGBoost | Scheme leakage & fraud risk | v4.2 | 95.1% | Nominal |
| CropYield-Forecast | LSTM / Transformer | District yield forecasting | v3.0 | 91.0% | Nominal |
| SatLandUse-CNN | CNN (vision) | Land-use from satellite imagery | v2.7 | 89.0% | Watch |
| DocIntel-IndicBERT | IndicNLP | Grievance & document triage | v5.1 | 93.0% | Nominal |
| VaaniSpeech-ASR | Speech (ASR) | Hindi/regional call transcription | v1.9 | 85.1% | Watch |
| Anomaly-IForest | Isolation Forest | PDS / GST anomaly detection | v2.2 | 92.4% | Nominal |
| SahayakRAG-Assist | Generative (RAG-LLM) | Grounded policy Q&A assistant | v3.4 | — | Nominal |
Live VivekAI programmes across central ministries, state governments and public-sector undertakings — monitoring flagship schemes at national scale.
| Sector | Scheme / programme | Ministry / dept. | Records | Coverage | Status |
|---|---|---|---|---|---|
| Agriculture | PM-KISAN direct benefit | MoA&FW | 11.0 Cr | Live | |
| Rural Development | MGNREGA muster & wages | MoRD | 14.2 Cr | Live | |
| Healthcare | Ayushman Bharat (PM-JAY) | MoHFW / NHA | 30.1 Cr | Live | |
| Education | UDISE+ school analytics | MoE | 1.5 Cr | Live | |
| Food & PDS | NFSA ration off-take | DoF&PD | 80.0 Cr | Pilot | |
| Water | Jal Jeevan Mission (FHTC) | DoDW&S | 19.4 Cr | Pilot | |
| BFSI | GST return anomaly analytics | MoF / CBIC | 1.4 Cr | Onboarding |
Zero-trust architecture with continuous compliance monitoring — deployable on-prem, in sovereign cloud, hybrid or at the edge, aligned to CERT-In and MeitY guidance.
Air-gapped or restricted-network install inside NIC / state data centres with full operator control.
Deployed on GI-Cloud (MeghRaj) or empanelled providers with India-only data residency.
Sensitive data on-prem, burst compute to sovereign cloud with governed data movement.
Lightweight inference at district offices and field devices with store-and-forward sync.
Multi-node clusters with automatic failover and zero-downtime rolling upgrades.
Warm-standby replica in a second region (e.g. HYD ↔ DEL) with RPO < 5 min.
Open, standards-based components assembled into one governed platform — from ingestion connectors to the generative-AI serving layer.
Dashboards, GIS analytics, self-service BI, REST/GraphQL APIs and a grounded generative-AI assistant layer for policy Q&A.
Training and inference on PyTorch and TensorFlow, served via Triton, with a central model registry, feature store and drift monitoring.
Distributed batch and stream computing on Spark and Flink, orchestrated by Airflow, with governed lineage across every pipeline.
Data lake on object storage with a lakehouse table format, columnar warehouse for OLAP and vector store for retrieval.
Connectors to SQL, NoSQL, ERP, CRM, IoT/SCADA, REST, SOAP, files and cloud storage, streamed through Kafka and MQTT.
Transparent, GeM-listed tiers scaled from a single department to a national programme — annual subscription, perpetual on-prem or managed models available.
Single department or district. Up to 25 users, 3 modules, on-prem or sovereign cloud, standard support.
State-wide or ministry deployment. Up to 250 users, all ten modules, HA cluster, DR, priority support.
National, multi-ministry roll-out. Unlimited users, dedicated tenancy, on-site engineering, custom SLAs.
| Capability | Department | Ministry / State | National |
|---|---|---|---|
| Functional modules | 3 | 10 | 10 + custom |
| Named users | 25 | 250 | Unlimited |
| High availability & DR | — | Included | Included |
| Generative-AI assistant | Add-on | Included | Included |
| Support window | 8×5 | 24×7 | 24×7 + on-site |
| Deployment models | Cloud / On-prem | All 6 topologies | All 6 + air-gapped |
Evaluation collateral, technical documentation and generated analytics reports for procurement, deployment and operations teams.
| Document | Audience | Pages | Updated | Format |
|---|---|---|---|---|
| Platform Architecture Guide | Solution architects | 148 | Jul 2026 | |
| Deployment & Hardening Handbook | Infra / SecOps | 96 | Jul 2026 | |
| Model Registry & MLOps Manual | Data science | 72 | Jun 2026 | |
| REST / GraphQL API Reference | Integrators | — | Jul 2026 | Web |
| CERT-In Compliance Dossier | Audit / procurement | 54 | May 2026 |
Two-page overview of modules, deployment options and compliance — for evaluation and procurement.
Reference architectures and case patterns for scheme monitoring, leakage detection and citizen services.
GeM-aligned evaluation checklist covering security, deployment, SLAs and data-residency requirements.
Time-boxed sandbox pre-loaded with a representative synthetic scheme dataset for hands-on evaluation.
| Report | Scope | Generated | Schedule | Status |
|---|---|---|---|---|
| Scheme Leakage — Weekly | PM-KISAN · all states | 14 Jul 2026 | Weekly · Mon | Ready |
| District Yield Forecast | Kharif 2026 · 612 districts | 13 Jul 2026 | Monthly | Ready |
| PDS Anomaly Digest | NFSA off-take | 15 Jul 2026 | Daily | Running |
| Grievance Sentiment Summary | CPGRAMS · IndicNLP | 15 Jul 2026 | Daily | Ready |
| Platform SLA & Security | Cluster VVK-ABDA-PROD | 15 Jul 2026 | Weekly | Ready |