On-prem and private AI cloud for regulated, IP-sensitive enterprise workloads. Secure, scalable, and cost-predictable GenAI & Agentic AI adoption — from pilot to production.
Public cloud AI introduces recurring bills, egress charges, governance overhead, and data residency concerns that block enterprise adoption.
Most enterprises are stuck in AI pilots. They lack the standardized, governed platform infrastructure to move fast and ship safely to production.
Building AI infrastructure from scratch requires scarce expertise across compute, orchestration, security, and MLOps — slowing delivery by months.
Full control and data sovereignty
Shared platform, governed access
Orchestration built in from day one
Compliance and audit by design
Secure inference, RAG, fine-tuning, and experimentation — all the way to production. Built for teams that need control.
Enterprise-controlled governance with a multi-team AI factory model. Your data never leaves your environment.
Purpose-built agentic + GenAI solutions packaged for your industry. Pre-built workflows, policy-aligned RAG, and audit trails.
High-performance storage and memory architecture that reduces GPU over-dependence. Lower compute, lower power, better utilization.
Pre-configured environments for inference, fine-tuning, RAG pipelines, and experimentation — ready for your teams.
Tracking, model registry, monitoring, and scheduling. Enterprise-grade MLOps built into the stack from day one.
RBAC, MFA, audit logs, network isolation, encryption at rest and in transit. Air-gapped option available for sensitive environments.
Orchestration, tools, guardrails, and identity management. Build reusable agentic workflows that scale across business units.
Immutable audit trails, data sovereignty, and strict segmentation. Designed for regulated environments from the ground up.
Compliance copilots, audit automation, risk intelligence, agentic ops
Risk workflows, KYC ops acceleration, fraud ops support
SOP and quality workflows, regulated knowledge systems
Customer ops agents, vendor ops automation, demand ops support
Build reusable foundations once — identity, tools, logs, guardrails, orchestration. Then create vertical derivatives: pre-built workflows, policy-aligned RAG, auditability, approvals, and evidence trails. One platform → many business applications.
Discovery + Assessment + Sizing
Procurement + Readiness
Installation + Platform Configuration
Enablement (MLOps + Guardrails + Onboarding)
Go-Live + Managed Support
Our hybrid approach reduces GPU over-dependence through high-performance storage and memory architecture.
for many workloads
sustainable AI infrastructure
across teams and use cases
| Capability | MRC Enterprise AI | Cloud-Only Alternatives |
|---|---|---|
| Data Sovereignty | ✓ | ✗ |
| Predictable Cost Model | ✓ | ✗ |
| Air-Gapped Option | ✓ | ✗ |
| Full Stack Included | ✓ | ✗ |
| Agentic Foundations | ✓ | ✗ |
| 8-12 Week Deployment | ✓ | ✗ |