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Enterprise HCI Platform Engineering

Hybrid cloud &
AI-integrated
platform engineering

From bare-metal provisioning to autonomous AI agents, ViswaNext engineers the full platform stack so you launch in clicks, not months.

Launch your platformView architecture
50M+AI interactions / yr
<200msRAG latency
80%OpEx reduction
20+Years R&D depth

What we engineer

One platform.
Every layer.

ViswaNext covers the entire platform stack, from server firmware and IPAM to agentic AI pipelines, with a single integrated GitOps workflow.

Bare-Metal Provisioning

Zero-touch server provisioning through GitOps: network boot, OS install, configuration management and fabric setup, automated end to end in minutes.

Out-of-band mgmtNetwork bootIPAMGitOps

Private Cloud Engineering

Virtualization, software-defined networking and storage with automated VM lifecycle, resource-pool governance and policy enforcement at enterprise scale.

VirtualizationSDNSDSHCI

Agentic AI Integration

Plug conversational AI, retrieval pipelines and autonomous multi-agent systems into your operations layer, with no re-architecture.

AgentsRAGTool useMemory

Data & ETL Platform

Lakehouse architecture, ELT pipelines and real-time streaming, from raw ingestion to executive dashboards.

LakehouseELTStreamingBI

FinOps Engineering

Real-time cost anomaly detection, enforced tagging, chargeback engines and commitment optimisation across every cloud you run.

Anomaly detectionChargebackRightsizing

Zero Trust Security

Dynamic secrets, automatic certificate rotation, identity federation and segmentation across cloud and on-prem estates.

SecretsPKIFederationPolicy-as-code

Platform architecture

Full-stack platform layers

A unified engineering stack spanning AI, cloud orchestration, infrastructure, data and security: deployed as code, governed as policy.

AI
Conversational AIMulti-agent orchestrationRetrieval pipelinesLLM orchestrationVector storesModel fine-tuning
Platform
Cloud management portalSelf-service catalogueAutomation workflowsHybrid cloud stackManaged containersInfrastructure-as-code
Infrastructure
VirtualizationSoftware-defined networkingHyper-converged computeOut-of-band managementBGP / EVPN fabricNetwork boot
Data
Warehouse & lakehouseDelta-style tablesELT & orchestrationEvent streamingRelational enginesData integration
Security & GitOps
Secrets managementCI/CDIPAM & inventoryConfiguration managementDeclarative templatesZero Trust IAM

Ready to launch your
hybrid platform?

Start with a one-hour architecture review. No commitment, just clarity on your best path forward.

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Private cloud engineering

Enterprise HCI &
private cloud stack

Virtualization, composable infrastructure and a self-service portal: engineered for workload consolidation, automated VM lifecycle and a policy-driven compute fabric.

Hyper-Converged Infrastructure

Deep R&D on composable and hyper-converged systems: workload consolidation, storage tiering and compute-fabric automation.

ComposableHCIStorage tiering

VM Lifecycle Automation

Automated VM provisioning with template management, resource-pool governance, and storage and network policy enforcement at scale.

TemplatesResource poolsPolicySDN

Self-Service Portal

Self-service VM provisioning workflows, ITIL service catalogues, cost-allocation tagging and chargeback reporting.

CatalogueITILChargeback

Hybrid Private Cloud

Vendor-delivered private cloud stacks with tenant isolation, compute resource pools and private bridges to public cloud.

TenancyResource poolsPrivate links

Network Fabric (BGP / EVPN)

Switch-fabric automation: BGP peering, EVPN/VXLAN overlay and VLAN management over gNMI and SSH. Fabric-as-code.

EVPNVXLANgNMIBGP

Secrets & Identity

Auto-unsealed secrets vault, dynamic per-job credentials and certificate authority rotation. No hard-coded credentials anywhere in the pipeline.

VaultPKIDynamic secrets

Click-to-provision

One click. Server to VM in minutes.

ViswaNext's GitOps pipeline takes a racked server from zero to a fully configured, network-attached, OS-installed VM host in under 15 minutes, without a manual step.

  • A git push triggers the full provisioning workflow
  • The secrets vault injects credentials at runtime
  • IPAM drives rack location and PXE network assignment
  • Out-of-band management powers on the server and sets boot order
  • OS install, then configuration management sets up the hypervisor
  • The switch fabric is configured for BGP/EVPN
  • Inventory is updated to “active”, fully reconciled
pipeline.py: CI runner
# 1 · secrets
secrets = get_secret("secret/data/infra")

# 2 · inventory
server = get_server("node01")

# 3 · out-of-band power + PXE
power_on(server.id, token)
mount_pxe(server.id, token)

# 4 · OS install
provision_host("node01")

# 5 · configure hypervisor + networking
configure(server, roles=["kvm", "ovs"])

# 6 · reconcile inventory
update_status(server.id, "active")

✓ provisioning completed

Public cloud platform

Multi-cloud landing zones
built to production

Multi-cloud mesh networking, identity federation, policy-as-code governance and hybrid connectivity: engineered as one unified platform across all three major hyperscalers.

Identity & Access Federation

Enterprise identity federation, single sign-on, least-privilege roles and conditional access across every cloud account and subscription.

SSORBACFederation

Landing Zones

Multi-account, multi-subscription landing zones with guardrails, baseline networking, logging and policy applied from day one.

GuardrailsBaselinesMulti-account

Network Mesh

Multi-cloud VPC/VNet mesh networking with transit hubs, private endpoints and consistent DNS and routing policy.

Transit hubPeeringPrivate endpoints

Hybrid Connectivity

Dedicated private circuits and encrypted tunnels bridging on-prem to every major hyperscaler.

Dedicated linksIPsecBGP

Container Platform

Managed container orchestration across clouds with namespace governance, workload identity and GitOps-driven deployments.

OrchestrationGitOpsWorkload identity

IaC & Governance

Modular infrastructure-as-code, policy-as-code governance and drift detection across all cloud providers.

IaCPolicy-as-codeDrift detection

AI platform engineering

Plug-in AI.
From conversational to agentic.

Pre-built AI platform integrations drop into your cloud or on-prem infrastructure: retrieval pipelines, multi-agent systems, LLM serving and voice AI in a few configuration steps.

Agentic AI

Autonomous multi-agent systems

Tool-use agents with memory persistence, reinforcement loops and orchestrated task decomposition. Built for enterprise workflows, not demos.

Multi-agentTool useMemory persistenceTask planning
RAG platform

Retrieval-augmented generation

Retrieval pipelines over embedding stores with semantic caching at sub-200ms for 50M+ interactions a year. Real knowledge, not hallucination.

EmbeddingsVector searchSemantic cacheRe-ranking
Conversational AI

Voice & chat AI platforms

NLU/NLP systems replacing DTMF menus with semantic understanding. A 45% average-handle-time reduction in production deployments.

Intent NLUVoiceSIP/DTMF → NLUgRPC
LLM serving

Private LLM deployment

High-throughput model serving with fine-tuning pipelines, structured output and semantic caching. Your data stays on your infrastructure.

Model servingLoRAQLoRAStructured output
AI + Ops

AIOps & platform intelligence

AI-augmented operations: anomaly detection, predictive scaling, cost intelligence and autonomous incident response in your existing monitoring stack.

Anomaly detectionPredictive scalingAuto-remediation
Industrial AI

IoT & real-time analytics

Real-time telemetry ingestion, structured streaming and predictive-maintenance pipelines for industrial operations at scale.

TelemetryStreamingPredictive maintenance

50M+ interactions / year

RAG that scales. Latency that doesn't compromise.

ViswaNext's bespoke RAG ecosystem was engineered to serve 50M+ annual interactions at sub-200ms latency, replacing static DTMF menus with live semantic retrieval.

  • Zero-warmup serverless execution pattern: 80% OpEx efficiency
  • Parallelised semantic caching removes redundant LLM calls
  • 45% average-handle-time reduction in production contact-centre AI
  • Agent assist with real-time knowledge retrieval across the enterprise KB
  • FinOps intelligence wired into AI cost per interaction
rag_pipeline.py
# semantic cache + retrieval
cache = SemanticCache(
  threshold=0.97
)

index = VectorIndex.load("kb_index")

def answer(query):
  if hit := cache.lookup(query):
    return hit            # <200ms
  ctx = index.search(query, k=5)
  return llm.generate(query, ctx)

→ 50M interactions/yr · <200ms

Data platform engineering

Lakehouse to dashboard.
Data that works.

Cloud-native data platforms (ELT pipelines, lakehouse architecture, real-time streaming and BI) engineered from raw ingestion to production analytics.

Lakehouse Architecture

Warehouse plus open table formats: medallion layers (bronze/silver/gold), ACID transactions and unified batch and streaming compute.

MedallionACIDBatch + stream

ELT Pipeline Engineering

ELT/ETL pipelines with CDC, schema evolution, lineage tracking and automated data-quality gates.

CDCLineageQuality gates

Real-Time Streaming

Streaming ingestion with exactly-once semantics, stateful aggregation and low-latency dashboards.

Pub/subExactly-onceWindows

Enterprise Database Engineering

Relational and NoSQL engines: performance tuning, partitioning, HA clustering, replication and index engineering.

TuningHAReplication

BI & Analytics

Dashboards and observability connected to your lakehouse, delivering real-time operational and financial views.

DashboardsMetricsAlerting

Data Migration Engineering

A full modernisation path from legacy on-prem ETL to cloud-native ELT, with zero-data-loss validation.

Legacy ETLELTValidation

Zero-touch provisioning

GitOps bare-metal
pipeline

A production-grade, end-to-end GitOps pipeline that takes a bare server from power-off to a fully configured, network-attached production host, automatically.

  1. 01

    Git push

    Infrastructure-as-code lives in version control. Every provisioning workflow is reviewed and approved before the pipeline triggers.

    GitIaC
  2. 02

    CI/CD pipeline

    A runner inside the private network is the single integration point connecting every downstream system.

    CI runnerPrivate network
  3. 03

    Vault secrets

    The runner requests BMC, IPAM and switch credentials dynamically. Zero hard-coded secrets.

    Dynamic secretsShort-lived
  4. 04

    IPAM lookup

    The runner queries IPAM for server name, rack location, management IP and PXE network: the single source of truth.

    IPAMInventory
  5. 05

    Out-of-band PXE

    The server is powered on through its BMC and boot order is set to PXE. Management network only; no OS yet.

    BMCIPMI
  6. 06

    OS install

    Server boots to PXE → DHCP → TFTP bootloader → kernel + initrd → unattended OS install on a temporary PXE IP.

    PXEDHCPTFTP
  7. 07

    Configuration

    The runner connects over SSH to the static IP from IPAM and configures packages, networking, hypervisor and virtual switching.

    SSHHypervisorOVS
  8. 08

    Fabric network

    Switches are configured over gNMI/SSH: BGP peering, EVPN/VXLAN overlay and VLAN assignment.

    BGPEVPNVXLAN
  9. 09

    Reconcile

    The runner closes the loop: status “active”, IP and role assigned, inventory fully reconciled.

    CMDBReconcile

App modernization

Lift. Replatform.
Rearchitect.

From legacy monoliths and proprietary databases to cloud-native containerised microservices: ViswaNext engineers the full modernisation journey.

Cloud Migration Engineering

Wave-planning tooling, dependency mapping, TCO/ROI modelling and execution with replication-based migration and custom containerisation pipelines.

Wave planningTCO / ROIReplication

Containerisation & Orchestration

Containerise legacy apps with multi-stage builds, deployment manifests, chart packaging and GitOps continuous delivery.

ContainersManifestsGitOps CD

REST API & Integration Layer

Platform-management REST APIs, portal connectors, inventory automation and telemetry dashboards.

RESTConnectorsTelemetry

Serverless & Cloud-Native

Zero-warmup serverless execution patterns with parallelised semantic caching, achieving 80% OpEx efficiency.

FunctionsEvent-drivenCaching

Platform App Development

Self-service portals, telemetry dashboards, VM provisioning UIs and ITIL service catalogues that lift operator productivity.

PortalsCataloguesDashboards

AI-Augmented Modernization

Embed conversational AI and agentic assistants directly into modernised apps, from AI-assisted code migration to document processing.

Code migrationAssistantsRAG

FinOps engineering

Real-time cost
intelligence

Automated tagging pipelines, anomaly detection, chargeback and showback engines, and rightsizing automation: FinOps as an engineering discipline, not a spreadsheet exercise.

Cost Anomaly Detection

ML-driven anomaly detection across every cloud's billing APIs, with real-time alerts before budgets are exceeded.

Billing APIsMLAlerts

Tagging Enforcement

Automated tag compliance through serverless functions, policy-as-code and retroactive remediation workflows.

Policy-as-codeServerlessRemediation

Chargeback & Showback

Unit-economics visibility: automated chargeback to business units, showback dashboards and per-workload cost attribution.

AllocationShowbackUnit cost

Rightsizing Automation

Continuous rightsizing enforced automatically: idle-resource termination, reservation optimisation and commitment purchasing.

RightsizingReservationsCommitments

AI-Powered FinOps

A conversational FinOps agent. Ask “Why did my cloud bill spike this week?” and get root cause, affected workloads and recommended actions.

AgentRoot causeBilling APIs

FinOps Dashboards

Executive and engineering dashboards: real-time spend, budget burn-rate, forecast vs. actuals and savings achieved this month.

SpendBurn-rateForecast

Engagement models

Choose your platform journey

Starter

Foundation

Platform architecture review plus an IaC baseline for a single cloud or on-prem environment.

  • Architecture review & gap analysis
  • IaC baseline
  • Secrets-management setup
  • Single cloud environment
  • FinOps tagging baseline
Start conversation →

Growth

HCI Platform

End-to-end hybrid cloud platform with bare-metal GitOps provisioning and an AI integration layer.

  • Full GitOps provisioning pipeline
  • Private cloud on HCI
  • Multi-cloud landing zones
  • Self-service portal
  • RAG / conversational AI plug-in
  • FinOps intelligence platform
Get architecture review

Enterprise

Full Stack

A complete engagement from bare-metal to agentic AI, data lakehouse and FinOps engineering.

  • Everything in HCI Platform
  • Agentic AI
  • Data lakehouse
  • Private LLM deployment
  • App modernisation engineering
  • Dedicated platform architect
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