About Us - Our AI Expertise
Deploy AI anywhere — cloud, edge, and on-prem
Deploy AI in the real world — from on-prem GPU hardware to production software, security, and ongoing operations.
Enterprises, mid-market ops teams, regulated industries, and orgs that can’t rely on “just an API.”
We design, deliver, and operate secure AI systems across cloud, on-prem, and edge—combining GPU hardware stacks with hardened software platforms.
Core offerings
Hardware Deployment
GPU servers & clusters, networking, storage, rack/stack, burn-in, performance validation
Software Deployment
Model serving, RAG, MLOps, security, observability, governance, lifecycle management
Hardware Deployment
What’s included
- GPU sizing + capacity planning
- Server + storage + networking design
- Rack/stack, power/thermal validation
- Kubernetes + GPU operator setup (if needed)
- Security baseline + patching
- Benchmarking (throughput/latency) & handoff
Packages
- Starter Pod (single-node / small cluster)
- Scale Cluster (multi-node training/inference)
- Edge Pods (distributed sites)
Software Deployment
What’s included
- Model serving (APIs, batching, autoscaling)
- RAG (vector DB, retrieval tuning, evals)
- Data pipelines + feature stores (optional)
- CI/CD for models (MLOps)
- Observability (traces, drift, cost)
- Guardrails + governance (PII, access, audit)
Packages
- Inference Platform
- Enterprise RAG
- Full MLOps + Governance