AI & GenAI

We build AI that ships — and pays for itself from your own cloud spend.

Cloud.in takes AI from idea to production: real products and workflows, built on Amazon Bedrock and SageMaker. As an Anthropic Authorised Reseller for Amazon Bedrock, we run Claude and other foundation models inside your own AWS account — secure and governed. And because the same team optimises your cloud spend, the budget for AI often comes from money you're already wasting, not new investment.

We find
Savings in your cloud bill
You get
AI in production that pays for itself

Not just a slogan — we built the AI that does the optimising, and we run it on our own book first.

What we've built

AI we've shipped — not slideware.

Our AI practice is proven in products we've built and run, across education, healthcare and compliance.

Product · EdTech

Evalix

Smarter assessments, better outcomes.

An AI-native assessment platform with AI-driven question generation, AI-assisted grading and secure video proctoring — for faster, more credible results.

evalix.ai
Product · Healthcare

Carebot

A digital door for hospitals.

A patient-facing healthcare AI assistant that acts as the first point of contact — handling appointment booking, triage and symptom intake, and guiding patients to the right information and the right department, conversationally.

Healthcare AI

Solutions & workflows

GenAI applied to real business problems.

Beyond products, we design and deliver AI solutions that slot into how your business already runs.

Compliance

DPDPA compliance tracker

AI-assisted tracking to help any business meet and manage compliance with India's Digital Personal Data Protection Act.

Conversational AI

Chatbots & assistants

RAG-grounded conversational AI and support assistants built on your own knowledge and data.

Trust & safety

Content moderation workflows

AI-driven moderation pipelines that flag and route content at scale, with humans in the loop where it matters.

Automation

Automation workflows

LLM-powered and agentic workflows that take repetitive, manual processes off your team's plate.

Document AI

Document intelligence

Extraction, summarisation and analysis over your documents — turning unstructured content into decisions.

Advisory

AI strategy & enablement

Where to start, what to build, and how to do it safely — grounded in 27 years of running real workloads.

We use our own AI

We built AI to optimize cloud cost — and we run it on ourselves first.

The budget that funds your AI isn't found by hand. Internally, we use our own AI-driven cost optimization to continuously review and analyse cloud spend — surfacing waste, anomalies and the spend that should be working harder. It's the engine behind our FinOps practice, and the clearest proof that funding AI from your existing cloud budget is something we actually operate, not just promise.

The credential

An Anthropic Authorised Reseller for Amazon Bedrock.

We're authorised to bring Claude and other leading foundation models to you through Amazon Bedrock — delivered inside your own AWS account, on infrastructure you control.

  • One partner, one accountable team. The same people who run your cloud, security and FinOps build and run your AI — no juggling five vendors.
  • Claude on Bedrock. Access frontier Anthropic models through a channel we're authorised to resell and support.
  • In your account. Models run within your AWS environment — your data stays your data.
  • AWS-deep. Backed by AWS Advanced Tier expertise and SageMaker delivery for the full ML and GenAI stack.
CredentialAnthropic Authorised Reseller for Amazon Bedrock
Foundation modelsClaude + Bedrock catalogue
ML platformAmazon SageMaker
AWS tierAdvanced (Premier track)
DeploymentIn your AWS account

Governed & sovereign

AI you can put in front of regulators.

The same sovereignty and security that defines the rest of Cloud.in applies to your AI — so adoption doesn't mean giving up control of your data.

Your data stays yours

Models run inside your own AWS account via Bedrock — no handing data to a third-party endpoint.

Residency & sovereignty

For workloads that need it, our own data centre at STT GDC Pune anchors AI on infrastructure under our control.

Compliance-aware

AI built with DPDPA and your regulatory obligations in mind — not bolted on afterwards.

How we deliver

From idea to production — without the dead-end pilot.

Most AI never leaves the proof-of-concept stage. We're built to ship it.

01

Identify

Find the use-case worth building — and the cloud spend that can pay for it.

02

Prototype

Build fast on Bedrock and SageMaker, grounded in your data.

03

Productionise

Harden, secure and govern it for real workloads, in your account.

04

Operate

Run and improve it — the same team, across cloud, security and AI.

Turn cloud waste into your first AI workload.

Start with a free cost audit. We'll show you what your current spend could fund — and build it with you. Full confidentiality, no commitment.

Talk to our AI team

Frequently asked

Questions, answered.

What AI services does Cloud.in provide?
Cloud.in builds and runs production AI: products such as Evalix (AI-native assessments) and Carebot (a healthcare AI assistant), plus solutions including DPDPA compliance tracking, conversational AI and chatbots, content moderation, automation workflows, document intelligence and AI strategy. Delivery is on Amazon Bedrock and SageMaker.
Is Cloud.in an Anthropic reseller?
Yes. Cloud.in is an Anthropic Authorised Reseller for Amazon Bedrock, which means it can bring Claude and other foundation models to customers through Amazon Bedrock, running inside the customer's own AWS account.
How is the AI kept secure and sovereign?
Models run within the customer's own AWS environment via Amazon Bedrock, so data stays in the customer's account. For workloads needing residency, Cloud.in's own data centre anchors AI on infrastructure it controls, and AI is built with DPDPA and regulatory obligations in mind.
How does Cloud.in fund AI projects from cloud spend?
Cloud.in uses its own AI-driven cloud cost optimisation to surface waste and reclaim budget, so the budget for AI often comes from money already being wasted on cloud rather than new investment.