India’s privacy law became real
Consent, deletion and breach reporting are now things your software must do.
Penalties to ₹250 Cr
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.
“We can ship this in six weeks.”
“Prove it’s safe before it goes live.”
Months of review. Rework. A pilot that never launches.
Most vendors stand on one side and hand you the other side’s problem.
Consent, deletion and breach reporting are now things your software must do.
Penalties to ₹250 CrAgents now book, refund and approve. Someone must decide what each is allowed to touch.
Authority, not accuracyGPUs are now one of the biggest lines in the budget, and nobody measures cost per answer.
Cost per answerRBI and DPDP decide where data — and the model reading it — is allowed to live.
Residency by design“Are you SOC 2?” now arrives in the first email. The audit is the sales cycle.
SOC 2 · HIPAAAn 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.
We already know where your data lives — so we can write the rule and enforce it in the pipeline.
Fixed-scope packs and monthly retainers, not billable hours. Predictable for a CFO. Comparable for procurement.
Every engagement leaves behind logs, control mappings and audit artefacts — not a document in a drawer.
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?”
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.
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.
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.
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.
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.
None of these are model problems. They are engineering and evidence problems — and they show up after the exciting part is done.
One sentence about what is stuck. No forms, no sign-up.
Which pillars, which standards, where it should run and roughly how long.
The sketch is yours either way. If you send it, a partner replies in two working days.
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.
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.
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.
Live numbers from your own systems. Nobody exports to Excel again.
Metabase, Looker or Power BI — refreshed continuously, not compiled monthly.
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.
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.



Also delivered for Conninter · Pixorar · RVLL · Swastik & Co. · Atra Pharma — Healthcare · e-commerce · pharma · manufacturing. Ask us for the reference call.
₹50–500 Cr revenue. Healthcare, finance, retail, manufacturing and government — where getting it wrong is expensive.
Series A–C, where “Are you SOC 2?” arrives in the first email and the audit is the sales cycle.
A demo that works and a launch that keeps slipping, usually on evidence rather than models.
Where the workloads actually run — hyperscale alongside Indian sovereign capacity.
The silicon and the platforms the models actually run on.