Anocloud
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AI · Data · Cloud · Security · Compliance — India & United States

We build it. Then we prove it.

Anocloud builds the AI, data and cloud systems mid-sized companies run on — and the same engineers make them provably secure, audit-ready and compliant. One team. One number to call.

Describe the system, not the person. What you type goes to Google’s Gemini to write up the sketch; we keep no copy.

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If you read one thing, read this.

The whole pitch, in twelve seconds
60dMedian time to a live, AI-ready cloud foundation
6.5wksMedian time to your first dashboard people actually use
50%Lower cost for the same NVIDIA GPUs
34Live cloud certifications across the bench
The problem

Every AI project needs two people to say yes. They don’t speak the same language.

The build side

Engineering & product

“We can ship this in six weeks.”

  • Reads architecture, code and cloud bills
  • Measured on speed and delivery
  • Cannot answer “is this lawful?”
The risk side

Legal, security & audit

“Prove it’s safe before it goes live.”

  • Reads contracts, regulations and reports
  • Measured on exposure and liability
  • Cannot read your cloud architecture
The gap

Where projects quietly die

Months of review. Rework. A pilot that never launches.

Most vendors stand on one side and hand you the other side’s problem.

Why now · 2026

Five things changed in eighteen months. All five landed on the same desk.

Every one of these turns a legal question into an engineering requirement. That is the work we do.
Law

India’s privacy law became real

Consent, deletion and breach reporting are now things your software must do.

Penalties to ₹250 Cr
AI

AI stopped answering. It started acting.

Agents now book, refund and approve. Someone must decide what each is allowed to touch.

Authority, not accuracy
Cost

AI compute became a board-level bill

GPUs are now one of the biggest lines in the budget, and nobody measures cost per answer.

Cost per answer
Sovereignty

Your data has to stay home

RBI and DPDP decide where data — and the model reading it — is allowed to live.

Residency by design
Trade

US buyers ask before the first call

“Are you SOC 2?” now arrives in the first email. The audit is the sales cycle.

SOC 2 · HIPAA
The idea

Code and constitution, from the same team.

An engineering firm builds your system and hands you a risk problem. A law or audit firm writes your policies and hands you an engineering problem. Anocloud does both — in the same sprint, with the same people, under one contract.

Because we sit inside the stack

We already know where your data lives — so we can write the rule and enforce it in the pipeline.

Because we price the outcome

Fixed-scope packs and monthly retainers, not billable hours. Predictable for a CFO. Comparable for procurement.

Because evidence ships with the build

Every engagement leaves behind logs, control mappings and audit artefacts — not a document in a drawer.

What we do · six pillars

Three pillars build the thing. Three make it hold up.

AI that does real work — with a leash you control and a record of every move.

The Authority Layer — A written, enforced answer to “what is this agent allowed to touch?”

  • Agent Readiness Sprint — two weeks to decide which jobs an agent can safely take
  • Agent build on Claude, Gemini, Bedrock or open models
  • Guardrails and evals — we break it before your customers do
  • AI that watches your systems, with our engineers standing behind it
Explore agents

One trustworthy version of your numbers — good enough for the board and for an AI.

Privacy in the plumbing — Who agreed to what, where each number came from, and what has been erased — tracked in the pipeline itself.

  • Pipelines that run themselves — pulled on schedule, duplicates removed, missing days flagged
  • One warehouse on BigQuery, Databricks or Snowflake
  • The meaning layer — “revenue” means one thing everywhere
  • Consent and lineage built into the pipe, not written into a policy
Explore data spine

Indian GPUs, Indian data residency — 30–50% below the big global clouds.

Cost per answer — We measure the thing nobody measures — cost per answer, per document, per customer. Most AI projects still have no unit price. Yours will.

  • Same NVIDIA H100 and A100 hardware at 50–70% of pay-as-you-go pricing
  • Fractional GPUs — rent the slice you use, by the hour, not the whole card
  • Your choice of where it runs: global clouds, Indian sovereign cloud, your own racks or fully air-gapped
  • Cost per answer measured, then driven down with caching, batching and right-sized models
Explore sovereign compute

Security engineered in, not bolted on — provable to an attacker and an auditor.

The AI layer — Tricking the model into breaking its rules, stealing data through it, misusing its tools — the layer most testing programmes have not reached.

  • People and access — least access, leavers cut off same day, two-step login
  • Cloud and network — nothing public that shouldn’t be, encryption everywhere, keys you control
  • Code and supply chain — scanned every commit, no secrets in code, a list of every library you ship
  • Data — classified, masked where it should be, deleted when it must be
Explore defensible systems

DPDP, ISO 27001, SOC 2 and HIPAA implemented inside your systems.

One programme, both regimes — Indian firms selling into America carry DPDP by law and SOC 2 or HIPAA by customer demand, with data crossing a border. We run both from a single control set — once, not twice.

  • The rule — e.g. DPDP Act §8(7), erase personal data when consent is withdrawn
  • The control — a named owner, a deadline and a test; erasure completes everywhere in 72 hours
  • The code — on consent.withdrawn, purge warehouse, backups, caches and vector store
  • The evidence — a dated, signed record for every request, ready for the auditor
Explore compliance as code

We make the demo work at 3am, under load, with real money on it.

We tell you not to hire us — We audit your existing code first, for a fixed fee, in three to five days. If most of it is sound we keep it. If a rewrite really is cheaper we say so — even though the audit is the smaller invoice.

  • It survives real traffic — load testing, caching, database indexes and queues, before launch
  • It can’t be broken into — input validation, authentication, rate limits, secrets out of the codebase
  • You know when it breaks — error tracking, uptime alerts, dashboards and someone on call
  • Anyone can maintain it — readable code, tests, documentation and a recorded handover
Explore production engineering
Solution Finder

Not sure which of those is your problem?

Free, no sign-up, about a minute
01

Describe it in your own words

One sentence about what is stuck. No forms, no sign-up.

02

We work out what applies

Which pillars, which standards, where it should run and roughly how long.

03

Send it to us, or do not

The sketch is yours either way. If you send it, a partner replies in two working days.

What people arrive with
  • Our GPU bill tripled after we shipped an AI feature.
  • Legal stopped the launch two weeks before go-live.
  • Finance and ops quote different revenue numbers.
  • A US customer is asking whether we are SOC 2.
How we work

Prove it. Harden it. Scale it.

A founder or principal engineer is on every engagement. You will never be handed to someone who joined last month.
01

Prove

Weeks 1–2. A fixed-fee diagnostic of what you have today, one risky thing built for real rather than in slides, and the costs, timeline and honest risks written down. You leave with a decision you can defend to a board.

02

Harden

Weeks 3–10. The step almost everyone skips. Security, privacy and controls built in as we go, we attack it ourselves and fix what we find, and evidence is generated automatically from day one. You leave with a system that passes review the first time.

03

Scale

Month 3 onward. More users, more use cases and lower unit cost without a rebuild. We run it for you or hand it to your team properly, and cost per answer is tracked and driven down every month. You leave with a platform, not a one-off project.

What you actually receive

Thirty days in, three things exist that did not exist before.

Illustrative figures. The point is the shape of what lands on your desk — working systems and generated evidence, not a slide deck about a future project.
Artefact 01

A dashboard your team opens every morning

Live numbers from your own systems. Nobody exports to Excel again.

Metabase, Looker or Power BI — refreshed continuously, not compiled monthly.

Artefact 02

A live map of every rule you must obey

Each control tied to the system that satisfies it — and the proof, generated automatically.

Every row links to the system that proves it, refreshed nightly, never screenshotted.

Artefact 03

A bill you finally understand

Every rupee — or dollar — attributed to a team and a purpose, with the waste already removed.

Idle GPU hours, over-sized instances, untouched storage and un-negotiated pricing, itemised.

Who it’s for

Companies that can’t afford to get it wrong.

Regulated mid-market

₹50–500 Cr revenue. Healthcare, finance, retail, manufacturing and government — where getting it wrong is expensive.

Funded startups selling into the US

Series A–C, where “Are you SOC 2?” arrives in the first email and the audit is the sales cycle.

Teams with a stalled AI pilot

A demo that works and a launch that keeps slipping, usually on evidence rather than models.

Partner ecosystem

We don’t collect logos. We use these every week.

01

Cloud & infrastructure

Where the workloads actually run — hyperscale alongside Indian sovereign capacity.

02

AI & GPU

The silicon and the platforms the models actually run on.