01 / Resilience
Foundation
Cloud, network, identity
Technology · People · Possibilities
Smart Solutions for a Brighter Tomorrow.
Vandorq Corporation Private Limited delivers cloud, analytics, software development and security solutions that help businesses grow in a connected world.
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Build · Secure · Scale · Together
01 / What we run
One operating view across cloud, security and networking.
Most estates are three disconnected programmes with three sets of numbers and no shared definition of healthy. We operate them as one system — shared identity, one delivery pipeline, one observability layer — and report against service levels the business already tracks.
- Cloud measured on availability, release cadence and cost variance
- Security measured on detection time, control coverage and open critical findings
- Networking measured on latency, packet loss and verified failover
Cloud & platform engineering
Data & analytics
Software product engineering
Cyber defence
Enterprise integration
Advisory & transformation
Cloud & AI cost optimisation
Hybrid & sovereign AI advisory
02 / Reference architecture
One system.
Every layer in motion.
Infrastructure should not be a stack of disconnected tools. We engineer it as a living system: resilient at the core, intelligent at the edge, accountable everywhere.
See how we build it
Vandorq operating core
One accountable
engineering system Live
engineering system Live
02 / Velocity
Platform
Automation, delivery, SRE
03 / Insight
Data
Lakehouse, quality, governance
04 / Experience
Applications
Products, APIs, integration
05 / Advantage
Intelligence
Analytics, AI, automation
Control planeSecurity + Assurance
Zero TrustGovernanceObservabilityCompliance
03 / Capabilities
Eight practices. One delivery model.
Each practice can stand alone, but they are designed to compose. Most engagements start in one domain and expand once the first measurable win lands.
Cloud Technology & Solutions
Well-architected landing zones, migration at pace, and container platforms your teams can actually operate — with cost control built in from day one.
- Cloud strategy, landing zones & migration factories
- Kubernetes, serverless and platform engineering
- FinOps, resilience and DR engineering
AWS · Azure · GCP
Details
Analytics & Data Solutions
Trusted data products instead of dashboard sprawl. We build the pipelines, models and governance that make numbers defensible in a board meeting.
- Lakehouse, warehousing & streaming pipelines
- Data governance, quality & lineage
- BI, forecasting and applied machine learning
Snowflake · Databricks · Fabric
Details
Software Development
Product-grade engineering for the systems that differentiate you: web platforms, APIs, mobile apps and the modernisation of software you cannot switch off.
- Custom platforms, portals and APIs
- Legacy modernisation & re-architecture
- QA automation, DevSecOps and release engineering
.NET · Java · Node · React
Details
Cybersecurity & Security Solutions
Security engineering, not security paperwork. We harden identity, workloads and data, then prove the controls work with evidence auditors accept.
- Zero Trust identity & access architecture
- Cloud & application security engineering
- SIEM/SOAR, threat detection and response
Zero Trust · SOC · Compliance
Details
IT Consulting & Digital Transformation
Advisory that ends in an executable plan: current-state assessment, target architecture, sequenced roadmap and the business case to fund it.
- Technology due diligence & assessments
- Target architecture and roadmap design
- Operating model, TOM and enablement
Advisory · Roadmaps
Details
Enterprise Technology Solutions
The connective tissue of a large estate: ERP and core-system integration, workflow automation, managed infrastructure and long-run platform operations.
- Enterprise integration & API management
- Process automation and workflow platforms
- Managed infrastructure and application operations
Integration · Automation · Ops
Details
Cloud & AI Cost Planning, Investment & Optimisation
Spend you can forecast and defend. We baseline cloud and AI costs, model the short- and long-term investment case, then leave the guardrails and backlog that keep savings real.
- Cost baselining, unit economics and forecast modelling
- Commitment, reserved capacity and licensing strategy
- Rightsizing, architectural optimisation and budget guardrails
FinOps · Short & long term
Details
Hybrid & Sovereign AI and AI Security Advisory
AI that satisfies your regulator, your residency rules and your security team. We design the hybrid and sovereign architecture, then pressure-test models, data and controls.
- Hybrid and sovereign AI reference architecture
- Data residency, control boundaries and model risk review
- Secure AI guardrails, access control and monitoring
Sovereign AI · AI security
Details
04 / Solutions in practice
Built for outcomes your board already measures.
Five of the engagements we are asked for most often. Each one has a defined shape, a defined first milestone, and a defined way of proving it worked.
Move to cloud without inheriting someone else's mess.
We start with a landing zone that encodes your security, network and cost policy as code, then migrate in waves — each wave measured, reversible and documented. You end up with a platform your own engineers can extend.
Landing zone as code
Multi-account structure, identity, network segmentation and guardrails in Terraform.
Migration waves
Assessment, dependency mapping, rehost/replatform/refactor decisions per workload.
Cost engineering
Right-sizing, commitment planning and chargeback so the bill stays explainable.
Resilience proof
DR runbooks, failover testing and recovery objectives verified, not assumed.
One version of the truth, governed and usable.
We consolidate reporting onto a modelled, governed platform — then build the data products that answer real questions: margin by customer, churn risk, supply exposure, operating cost per unit.
Lakehouse foundation
Batch and streaming ingestion, medallion layers, ELT orchestration and testing.
Semantic modelling
Business definitions written once, reused by every dashboard and API consumer.
Governance
Catalogue, lineage, quality rules, access control and PII classification.
Applied ML
Forecasting, segmentation and anomaly detection deployed into workflows.
Software that behaves well in year three.
Senior-led product teams building web platforms, APIs and internal systems with automated testing, CI/CD and observability from the first sprint — so the second year of the product is cheaper than the first.
Discovery to MVP
Outcome mapping, architecture spikes and a shippable slice in weeks, not quarters.
API-first design
Contract-driven services, versioning discipline and gateway policy management.
Modernisation
Strangler-pattern decomposition of monoliths with zero-downtime cutovers.
Quality engineering
Automated regression, performance budgets and accessibility baked into CI.
Reduce the blast radius before you need to.
We assess the estate against a recognised control framework, fix the exploitable gaps in priority order, and stand up detection and response that a real team can run at 3am.
Identity hardening
Least privilege, conditional access, privileged access management and MFA coverage.
Workload security
Cloud posture management, container and pipeline security, secrets hygiene.
Detection & response
SIEM use-case engineering, SOAR playbooks and incident response rehearsals.
Assurance
Control mapping and evidence packs aligned to ISO 27001, SOC 2 and DPDP duties.
Run the platform like a product, not a ticket queue.
An SRE-shaped operations practice with defined service levels, on-call rotation, error budgets and a monthly engineering backlog aimed at removing the causes of recurring incidents.
Observability
Metrics, logs, traces and synthetic checks with actionable, low-noise alerting.
Service levels
SLOs agreed with the business, reported transparently every month.
Problem management
Root-cause elimination tracked as engineering work, not a status column.
Continuous hardening
Patch cadence, config drift control and quarterly resilience testing.
05 / Why Vandorq
Chosen for engineering depth, kept for accountability.
01
Architecture before implementation
Every engagement starts with a written target architecture and a decision log. You know what is being built, why, and what was rejected.
02
Senior engineers on the work
The people who scoped your project are the people who build it. No handover to an unnamed team after the proposal is signed.
03
Security is not a later phase
Identity, encryption, logging and least privilege are part of the first design review — not a remediation project after go-live.
04
Everything as code
Infrastructure, pipelines, policies and environments are versioned and reproducible. Nothing critical lives only in someone's console history.
05
Vendor-neutral by design
We hold no resale quota. Platform recommendations are made on fit, total cost and your team's ability to operate them.
06
Built to be handed over
Documentation, runbooks and enablement sessions are deliverables, not favours. Staying with us should be a choice, never a dependency.
06 / Delivery model
Assess. Architect. Build. Operate.
The same four-stage model runs behind every practice. It is deliberately unglamorous: decide before building, build in slices, prove each slice, then run it properly.
Stage 01
Assess
Two to four weeks. Current-state discovery across infrastructure, data, applications and security, ending in a prioritised findings pack and business case.
Stage 02
Architect
Target architecture, non-functional requirements, platform selection and a sequenced roadmap with cost, risk and dependency mapping made explicit.
Stage 03
Build
Delivery in two-week increments with automated pipelines, environment parity, documented decisions and a demonstrable outcome at the end of each cycle.
Stage 04
Operate
Service levels, observability, on-call and continuous improvement — or a complete handover to your team with the runbooks to make it stick.
Good technology decisions are boring to explain and expensive to reverse. We spend our energy on the first part so you never pay for the second.
Innovation, kept practical
A working practice, not a lab poster.
Our engineering group runs a standing evaluation cycle: new platform services, AI tooling and security capabilities are tested against reference workloads before they ever reach a client roadmap.
Reference implementations
Pre-built landing zones, data platform blueprints and CI/CD templates shorten delivery.
Applied AI review
Practical evaluation of LLM and automation use cases with explicit data-protection boundaries.
07 / Industries
Regulated, high-volume, uptime-critical.
We are most useful where availability, auditability and data protection are non-negotiable — and where a bad architecture decision shows up on the P&L.
Banking & Financial Services
Core integration, regulatory reporting, fraud analytics
Healthcare & Life Sciences
Clinical data platforms, interoperability, privacy controls
Manufacturing
IIoT telemetry, OEE analytics, OT/IT segmentation
Retail & E-commerce
Peak-scale platforms, unified commerce, demand forecasting
Logistics & Supply Chain
Track-and-trace, route optimisation, partner integration
Energy & Utilities
Asset telemetry, outage analytics, critical-system hardening
Public Sector
Citizen platforms, data residency, accessibility compliance
Technology & SaaS
Multi-tenant architecture, platform scaling, SOC 2 readiness
Next step
Tell us what is slowing your technology down.
A working conversation with a Vandorq architect — no discovery fee, no obligation. You leave with an honest read on effort, risk and sequence, whether or not you work with us.