One Platform.
Every AI
Use Case.
A unified, cloud-native platform that connects your data, powers your AI, and delivers intelligence to every corner of your organisation — from raw ingestion to production inference in a single stack.
142K
Events / second
47+
AI models running
40+
Native integrations
99.95%
Uptime SLA
Data Ingestion
Data Pipeline
AI Engine
Analytics Layer
API Gateway
78% of peak capacity · auto-scaling ready
How It Works
Platform Architecture
Five interconnected layers forming a complete data-to-intelligence stack. Each pillar operates independently or as a unified system.
Data Ingestion
Data Pipeline
AI Engine
Analytics Layer
API Gateway
Ingest, transform, govern
Data Pipeline
Connect any data source — databases, REST APIs, message streams, flat files — and build production-grade ETL/ELT pipelines with built-in data quality monitoring, schema registry, and lineage tracking.
- Real-time streaming ingestion via Kafka & Kinesis
- Batch ETL/ELT with dbt & Apache Spark
- Automated data quality rules & anomaly detection
- Schema registry & data contract enforcement
- Full data lineage from source to insight
- PII detection & masking for compliance
142K
Events/sec
38ms
Latency p99
99.2%
Data Quality
Train, deploy, monitor
AI Engine
A unified MLOps platform to train, version, deploy, and monitor machine learning models at scale — supporting predictive analytics, LLM fine-tuning, RAG pipelines, computer vision, and custom algorithms.
- AutoML for rapid model prototyping
- LLM fine-tuning with LoRA / PEFT on NVIDIA GPUs
- RAG pipeline builder with vector store integration
- Model versioning, A/B testing & shadow deployment
- Inference optimisation with TensorRT & ONNX
- Drift detection & automated retraining triggers
47
Models Deployed
94.3%
Avg Accuracy
2.1M
Inference/day
Insight for every role
Analytics Layer
Self-service BI, executive dashboards, and embedded analytics that make data accessible to every role — from analyst to C-suite — with natural language query, scheduled reports, and real-time KPI alerts.
- Drag-and-drop dashboard builder
- Natural language query (ask data in plain English)
- Embedded analytics widgets for your products
- Scheduled reports & threshold-based alerts
- Row-level security & data access controls
- Mobile-responsive dashboards & offline mode
218
Active Dashboards
1,240
Daily Users
18K
Queries/day
Expose, secure, scale
API Gateway
Expose all platform capabilities — AI models, data services, analytics — through a unified, versioned API layer with OAuth 2.0, rate limiting, auto-generated SDKs, and a developer portal with live docs.
- REST & GraphQL API support out of the box
- OAuth 2.0, JWT & API key authentication
- Per-client rate limiting & quota management
- Auto-generated OpenAPI docs & client SDKs
- Real-time request monitoring & error tracking
- API versioning with backward compatibility
28.4K
Requests/min
12ms
Avg Latency
0.04%
Error Rate
Ecosystem
40+ Native Integrations
Connect your existing stack in minutes — no custom connectors, no professional services required.
Data Sources
Cloud & Infra
AI & ML
BI & Analytics
CRM & ERP
Enterprise Ready
Built for Security, Scale & Compliance
Every feature ships with enterprise-grade security, regulatory compliance, and SLA guarantees built in — not bolted on.
SOC 2 Type II Certified
Annual third-party audit. Your data is handled to the highest security standard.
End-to-End Encryption
AES-256 at rest, TLS 1.3 in transit. Zero knowledge architecture available.
Multi-Region Deployment
Deploy in any region — AWS, GCP, or Azure — or on-premises in your own VPC.
99.95% Uptime SLA
Guaranteed availability with redundant infrastructure, automatic failover, and 24/7 NOC.
Auto-Scaling
Horizontal scaling handles any spike — from 100 to 10M events per second without config changes.
GitOps Ready
Infrastructure as code, CI/CD native, and full GitOps workflow support out of the box.
See the Platform in Action
Book a 30-minute personalised demo and see how the Minovative Platform can unify your data, accelerate your AI roadmap, and deliver insights at enterprise scale.