How we modernize
The modernization path, step by step.
Wherever your data center is today, there’s a path to AI-ready.
Here’s what each step takes.
Modernize(01)
You’re on legacy, locked-in platforms — proprietary hypervisors, end-of-life hardware, closed network OS — that cap cost, scale, and what you can adopt next.
What we do
- Re-platform onto open virtualization and storage
- Move to an open network OS and EVPN/VXLAN fabric
- Migrate at scale, GitOps-driven, near-zero disruption
- Choose offload-ready hardware
- Extend open tools at the source
Automate(02)
Manual, ticket-driven operations are slow, error-prone, and don’t scale with the estate.
What we do
- IaC and GitOps as source of truth
- Automated config conversion and upgrades
- Phased delivery, early ROI
Observe(03)
You can’t orchestrate — or apply AI to — infrastructure you can’t see.
What we do
- Unified metrics, logs and traces
- AI forecasting, anomalies, correlation
- Remediation that suggests the next step
- Telemetry that feeds orchestration and AI
Orchestrate(04)
Multi-vendor sprawl, no single control plane.
What we do
- Intent-based orchestration
- Vendor-agnostic switching and routing
- Reuses existing automation
Accelerate(05)
CPU-bound data planes and software-only security hit performance ceilings.
What we do
- Data plane offloaded to SmartNICs, DPUs, FPGAs
- Inline hardware security (AI WAF, SYN-flood)
- CPU cores freed for real workloads
AI-ready(06)
GPU fabric · AI workloads · AI woven into operations.
What we do
- GPU/DPU fabric tuned for AI
- AIOps in operations: RCA, forecasting, NOC copilots
- Secured by design, AI agents included
Through every step
Two things run the whole way.
- Explore QA Automation
QA Automation
Modernization is a gamble if you can’t prove each change is safe. We make every change testable and reversible.
- Full-lifecycle test engineering for software-defined and hardware networks.
- On-demand lab automation (Kubernetes/Terraform) — ~60% less lab infrastructure.
- Custom traffic generation on open tools; smart test selection catches ~40% of issues at PR.
- Explore Security
Security
Security is present at every layer, by design, from the first step to AI-ready.
- Data-plane security: AI WAF, DDoS / SYN-flood, malicious-IP detection.
- NGFW automation and zero-trust across the estate.
- Securing the AI agents you deploy into the network (MCP / agent security).
How we engage
From assessment to day-to-day operations.
A fixed-scope, low-risk way to start, and the input to everything that follows. Fifteen years auditing real networks means we find the actual constraints fast.
Ready to modernize?
Tell us where your data center is today, and we’ll take it from
there — all the way to AI-ready.
