Can you reduce our existing cloud spend?

Usually 20–40% in the first optimisation pass — rightsizing, reserved capacity, storage tiering, and killing the zombie resources every estate accumulates. The audit that finds it is a fixed-fee two-week engagement.

Do you provide 24×7 managed support?

Yes — SLA-backed managed cloud support with on-call rotations, monitoring, patching, and incident response. Most clients pair it with quarterly architecture reviews so the estate improves instead of just surviving.

Do we need a data platform before we can do anything with AI?

Not a complete one, and waiting for it is a common way to do nothing for a year. What a first AI use case needs is the specific data it consumes, in a known state, with access rules that can be enforced. That is a far smaller job than a warehouse programme. Build the platform where the second and third use cases show you the shared foundations actually needed.

How do you handle data residency for Indian regulated entities?

As an architectural constraint from the first week rather than a deployment detail. RBI's payment data localisation, a regulator's outsourcing directions, MeitY empanelment for government work and the DPDP Act each restrict where data may sit and who may process it. Those decide region, provider and sometimes whether a managed service can be used at all — which is why they belong in discovery, not in a pre-go-live security review.

Can you work alongside our existing cloud or platform team?

Yes, and it is the better arrangement where that team exists. The usual split is that we bring the platform patterns and the migration or reliability work, your team keeps ownership and operational control, and the engagement ends with capability transferred rather than a dependency created. A consultancy that leaves the internal team unable to operate what was built has failed regardless of what shipped.

Practice

Data & Cloud

Cloud architecture, data platforms, DevOps, managed support, and security engineering — the invisible layer that decides whether everything else scales or stalls.

Discuss this practice See related work

Uptime across managed platforms: 99.95%Uptime across managed platforms
Every migration, twice, before it runs: RehearsedEvery migration, twice, before it runs
On-call held by the team that built it: 24×7On-call held by the team that built it

The problem

Every platform we build stands on this layer, so we engineer it like it matters — because it does. Cloud bills that stop surprising you, data that arrives clean and on time, deployments that are boring, and security that's designed in rather than audited in.

How we approach it

Infrastructure decisions are business decisions wearing technical costumes. We present them that way: cost curves, risk profiles, and growth headroom in language a CFO can challenge.

Accountability

What this practice owns.

Not a scope of works — the things that stay our problem for as long as the engagement runs.

The migration plan and its rollback, rehearsed before the weekend it runs.

Cost: an architecture sized to your actual load, with the bill modelled before commitment.

Observability — so an incident is diagnosed from dashboards rather than from guesswork.

The security posture, including the review pack your client's auditor will ask for.

Capabilities

5 services in this practice

Each one is a full capability with its own page — the method, what you are handed, the stack, and who it is not for.

Cloud Architecture & Migration

Cloud estates designed for cost, resilience, and the next five years of growth.

A bill that tracks value instead of entropy

Data Engineering & Analytics

Pipelines and platforms that make your data arrive clean, on time, and decision-ready.

Monday numbers ready Sunday night, untouched by hand

DevOps & Reliability

Deployments that are boring, incidents that are rare, and recovery that's rehearsed.

Deploy frequency up, change-failure rate down

Managed Cloud Support

SLA-backed operations for the platforms we build — and the ones we didn't.

Uptime backed by SLA, not luck

Security & Compliance

Security engineered into the build — and audited like an attacker would.

Vulnerabilities found by your tests, not your customers

What an engagement looks like

How this practice usually starts.

We do not publish prices — scope drives them, and a number without scope is a guess. Everything else about the shape, here.

Starts with: An assessment of what you run now and what it costs
Time to production: 6–14 weeks for a migration; managed operations are ongoing
Who you get: A cloud architect and SREs, sized to the estate
Commercial model: Fixed-scope assessment, then project or retained operations

What drives the number is on engagement models.

Typical stack

AWS / Azure / GCP
Terraform
Kubernetes
VPC & zero-trust networking
FinOps tooling
PostgreSQL / ClickHouse / BigQuery
dbt
Airflow/Dagster
Metabase/Superset/Power BI
Streaming (Kafka)
GitHub Actions / GitLab CI
Terraform & Ansible
Prometheus/Grafana
OpenTelemetry
PM2/Kubernetes
Grafana/Prometheus
PagerDuty-class alerting
Automated patching
Backup verification
Runbooks
Threat modelling
SAST/DAST tooling
Vault-class secrets
SIEM-lite stacks
Zero-trust patterns

Proof

Where this practice has shipped.

All case studies

A live control tower for a national logistics fleet

Real-time visibility over 3,000+ vehicles with exception-first alerts — detention hours cut 41%, and customers now track shipments without calling.

41%Reduction in detention hours

Replatforming a D2C brand for 10× sale-day traffic

Rebuilt a buckling storefront into a headless commerce platform — 99.98% uptime through festival sales and a 28% lift in conversion from speed alone.

99.98%Sale-day uptime

A custom ERP that ended month-end chaos for a steel manufacturer

Replaced five disconnected systems and a wall of spreadsheets with a single custom ERP — order-to-dispatch in one flow, month-end closing down from 9 days to 2.

9→2 daysMonth-end closing time

Sectors

Where data & cloud comes up most.

BFSI & Fintech

Institutional-grade platforms for banks, NBFCs, insurers, and fintechs — proven at IRFC scale.

Retail & E-commerce

Commerce platforms, omnichannel operations, and sale-day resilience at 10× traffic.

Media & Hospitality

Content, booking, and guest-experience platforms where experience is the product.

Government & PSU

Citizen and institutional platforms engineered to public-sector security and audit standards.

Before you ask

Questions we hear about data & cloud

The one that fits your workload, existing estate, and negotiating position. We're certified across all three. Multi-cloud only when a real requirement (sovereignty, DR, leverage) justifies its complexity.

Other practices

Next step

Bring us the problem. We will bring the architecture.

A discovery call takes forty-five minutes. You leave with our read on the problem, the shape of the system we would propose, and a straight answer on whether we are the right team for it.

Book a discovery call Send a brief instead

No sales deck
An engineer on the call, not an account manager
NDA before you share anything