Develop
Your Unified Sovereign AI Operations Platform
80% of AI projects fail in production not because models fail but because operations break. Enlight AIOps fixes that.
One Control Plane For Your Entire AI Lifecycle
Test
Run
Experiment
Deploy
Monitor
The Underlying Problem
80% of AI projects stall before production. Is yours next?
Fragmented Tools
4-5 separate tools. 3x longer deployment cycles. Zero control. AI teams juggle with cycles, GPU management, MLOps workflows, monitoring, governance and cost reporting.
Struggling with GPU ROI
Up to 40% of GPU capacity sits idle. Teams cannot track GPU-hours by project, workload or team. Idle GPUs burn budget silently.
Governance Gaps
₹250 crore. The cost of getting compliance wrong. Who approved this model deployment? Where was the training data stored? Is it DPDP-compliant? Most AI teams cannot answer these questions.
Operational Overhead
Your most expensive AI talent spends 60% of their time on infrastructure. That is not an operational problem. That is a strategic failure.
Your Unified Solution
Against Complex AI Challenges
Eliminating the friction that kills 80% of AI projects.
01 / 06
GPU Scalability
A single cluster to hyperscale fleets, seamlessly scale across NVIDIA H200, GB200, B200 and B300 models.
Faster Time to Production
Fully integrated AIOps workflows accelerate deployment cycles.
Lifecycle Visibility
Real-time monitoring across GPU performance, workload health, cost attribution and compliance posture.
Unified Control Plane
Manage your entire AI lifecycle, GPU orchestration, MLOps workflows, real-time monitoring, governance and cost management.
Eliminate Provisioning Delays
Automated multi-tenant orchestration enables instant GPU provisioning at scale.
Solve Governance Gaps
Multi-tenant RBAC, approval workflows and comprehensive audit logs ensure every model deployment is approved.
Enlight AIOps vs The Alternatives
The platform you choose today will define your AI leadership tomorrow.
| Sr. no | Capability | Enlight AIOps | Other Alternatives | DIY Stack |
|---|---|---|---|---|
| 01 | Unified Control Plane | ✓ Single pane — GPU, MLOps, monitoring, governance, cost | △ Platform + separate services for each | ✗ 4-5 separate tools, manual integration |
| 02 | GPU Orchestration | ✓ Multi-tenant, automated provisioning, 8,000+ GPU scale | ✓ Managed, but general-purpose | △ K8s-based, significant engineering needed |
| 03 | Data Sovereignty | ✓ 100% Indian-owned DCs. No cross-border. | ✗ Foreign parent entity. Management plane abroad. | ✓On-prem = full control |
| 04 | Cost Visibility | ✓ Showback/chargeback by project, team, workload | △ Billing dashboard — limited attribution | ✗ Manual tracking |
| 05 | Governance & RBAC | ✓ Built-in RBAC, approvals, audit logs | △ I AM — powerful but complex to configure | ✗ DIY governance layer |
| 06 | Managed Services | ✓ Full-stack: infra → platform → MLOps → support | △ Shared responsibility model | ✗ You manage everything |
| 07 | Pricing | ✓ ₹ billing. No FX. Transparent. | ✗ USD-denominated. Complex pricing. | ✓ CapEx in ₹ (but high OpEx) |
| 08 | Time to Production | ✓ Pre-configured templates. Minutes to deploy | △ Good tooling, but learning curve | ✗ Weeks to months of setup |
One Platform.
6 Powerful Capabilities.
Every capability addresses your pain and has a measurable outcome.
01
GPU Cluster Onboarding
Import existing Kubernetes GPU clusters and discover capacity for immediate use. Plug in your existing infrastructure and start orchestrating.
Your Outcome: Live in hours. Not months.
02
AI Workload Deployment
Pre-configured templates for training jobs, inference services and notebook environments eliminate manual intervention entirely.
Your Outcome: 3x faster deployment cycles.
03
Real-Time Monitoring
Live dashboards for GPU health, workload performance, memory usage, power consumption and job-level telemetry across your entire fleet.
Your Outcome: 100% fleet visibility.
04
Governance & Security
Multi-tenant architecture, role-based access control, approval workflows and comprehensive audit logs. DPDP Act, ISO 27001, SOC 2 and sector-specific compliance built in.
Your Outcome: Zero governance gaps.
05
Cost Management
Showback and chargeback visibility by project, team and workload - tracked with precision, reported automatically.
Your Outcome: Up to 40% reduction in idle GPU waste.
06
MLOps Lifecycle
End-to-end model lifecycle management - experiment tracking, model versioning, automated retraining pipelines, A/B testing, canary deployments and production monitoring.
Your Outcome: Up to 50% faster time to production.
