The AI data-center services catalog
Nine specialised service lines across three tiers — from managed backup and DR to GPU cluster commissioning, liquid cooling and fabric, plus our own monitoring and compliance software. Indicative INR pricing, published for transparency.
Tier 1 — Beachhead
Sellable from day one on the founder's core skills. A recurring, high-margin ARR spine.
Managed Backup & Cyber-Resilience / DR-BCP
NetBackup-led immutable backup, ransomware recovery, DR runbooks and DR-as-a-Service. Sellable immediately on the founder's NCDEX-grade pedigree.
DC Migration, Virtualization & Consolidation
VMware/HPE lift-and-shift, P2V/V2V, refresh and consolidation. Lands accounts and cash immediately, then expands into ARR.
DCIM / Observability & AIOps — NetPulse
Productized owned IP. Power, thermal and GPU telemetry, capacity analytics and multi-tenant MSP dashboards. The most SaaS-like, scalable line — the lead ARR metric.
Tier 2 — Growth
The AI-specific execution-gap wedge — GPU, cooling, compliance and fabric. Higher CAGR.
GPU Cluster Commissioning & Lifecycle
NVIDIA/AMD cluster bring-up, InfiniBand/Ethernet fabric, firmware, health, MIG partitioning, plus decommission and refurbishment lifecycle.
High-Density & Liquid / Immersion Cooling
Design-assist, install, commissioning and ongoing thermal operations for 25–40 kW racks that exceed air cooling, via OEM partnerships.
AI-DC Compliance-as-a-Service — Praman
Productized owned IP. DPDP/CERT-In audit, breach-notification workflows and data-residency attestation for DC and cloud tenants. Sticky, with a regulatory tailwind.
High-Speed Network & Fabric Integration
Spine-leaf, 400G, RoCE and low-latency builds for the latency-sensitive AI workloads that coastal Chennai is uniquely placed to serve.
Tier 3 — Future
Capital-aware optionality. Owned capacity only later, via a ring-fenced SPV.
Sovereign / Private AI-Inferencing — BharathAI
Managed private inference plus asset-light GPUaaS reselling on partner capacity, with an Indic-language inference angle. Owns capacity only later, via a separate SPV.
Edge / Micro-DC Pods
Latency-sensitive micro-capacity pods for Tamil Nadu and South-India workloads. Capex-gated — pursued only with grant or partner funding.
From first call to running estate
No retainer needed to start. Every engagement begins with a fixed scope you can take to procurement.
Discovery call
30 min · freeYour estate, workload and constraints — rack count, power profile, compliance scope. You leave with a clear next step.
Scoped proposal
within a weekA priced, fixed-scope proposal with deliverables, acceptance criteria and the SLA we will sign up to.
Lab rehearsal
where it de-risksGPU bring-up, cooling or fabric changes rehearsed on our integration bench before they touch your floor.
Delivery + run
project → retainerDelivered on your or your operator's floor, then optionally run under a managed retainer with NetPulse and Praman attached.
Buyer questions, answered honestly
Is Zyvark building a hyperscale data center?
No. Zyvark is deliberately asset-light. We don't own megawatts — that's a ~US$6–7M/MW capex game dominated by Adani, Blackstone, Yotta and CtrlS. We are the specialised AI-DC services, integration and lifecycle partner those capacity owners and AI-first enterprises need but don't keep in-house. Owned micro-capacity, if any, comes later via a separate ring-fenced SPV.
What is the 'execution gap' you keep referencing?
Indian operators are commissioning AI campuses in phased single-digit-MW tranches, but high-density/liquid cooling, GPU cluster integration, high-speed networking and GPU lifecycle management are capabilities most don't maintain in-house (CRN Asia, Apr 2026). Execution is shifting to specialised partners — that is Zyvark's lane.
How does the land-and-expand model work?
A Tier-2 integration project (GPU bring-up, cooling, or fabric) lands the account. We then attach the recurring lines — NetPulse DCIM observability, Managed Backup/DR, and Praman compliance — so the footprint compounds at a target 110–120% net revenue retention.
What are NetPulse and Praman?
They are Zyvark's owned software platforms. NetPulse is a SolarWinds-style DCIM/AIOps monitoring platform (SNMP engine, TimescaleDB, MSP multi-tenancy), productized as the observability line. Praman is a DPDP/CERT-In compliance platform (Merkle-chained audit logs, breach workflows), productized as Compliance-as-a-Service. Both carry 65–85% gross margins.
Why Chennai?
Chennai is one of India's largest data-center clusters and a major subsea-cable landing hub for South-East Asia routes, with an active Tamil Nadu DC policy and recent AI campuses (AdaniConneX 400 MW, Blackstone/Lumina ~216 MW). It is the ideal home base for an AI-DC delivery partner.
What is the commercial model — project or recurring?
Both, by design. A high-growth project/integration wedge (GPU, cooling, network) lands and expands accounts, feeding a recurring ARR engine (managed backup, DCIM, compliance). The mix shifts from project-heavy in Year 1 (~70%) to ARR-heavy by Year 3 (~58%), lifting blended gross margin from ~50% to ~62%.
Build a quote in a 30-minute call.
Share your workload — rack count, power profile, compliance needs — and we'll send a priced proposal and SLA within the week.