info@innovquant.com Indore, Madhya Pradesh, India
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Cloud, DevOps & MLOps

Cloud setup and migration, CI/CD pipelines, monitoring and model deployment that keep software running.

Infrastructure you do not have to think about

Good software still fails if it is hard to deploy, expensive to run or invisible when it breaks. We set up cloud infrastructure and delivery pipelines so releases are routine, costs are predictable and problems are seen before customers report them.

What we do

  • Cloud setup and migration: new environments on AWS, Google Cloud or Azure, or moving an existing system with a planned cut-over.
  • CI/CD: automated build, test and deployment pipelines, so shipping a change takes minutes rather than a weekend.
  • Containers and orchestration: Docker and Kubernetes where they help, and simpler hosting where they would not.
  • Infrastructure as code: environments defined in Terraform so they can be reviewed, repeated and restored.
  • Monitoring and alerting: logs, metrics and alerts that tell you what broke and why.
  • MLOps: versioned models, repeatable training and deployment pipelines, and monitoring for model drift.

What you get

  • Environments that are documented and owned by you, not locked to one engineer.
  • A clear view of what each environment costs, with savings flagged.
  • Backups, and a tested way to restore them.

Who this is for

Teams whose releases are manual or risky, whose cloud bill keeps growing, or who are putting machine-learning models into production for the first time.

Discuss your project
Case studies

Recent work

View all projects
Product Development

Academicae — AI-led LMS

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Fynyt — Digital Banking Platform

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Tiffs — Business Banking APIs

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How we deliver it

How a project runs

You see working software early and often. Nothing is saved for a big reveal.

  1. Discover

    We map what the product has to achieve, who it is for, and what success looks like before anyone writes code.

  2. Design

    Flows and interfaces agreed with you up front, so the build has no guesswork in it.

  3. Build

    Delivered in increments you can see and comment on, tested as we go.

  4. Launch & support

    Deployment, monitoring and the ongoing changes that keep a product useful.

Questions

Common questions about Cloud, DevOps & MLOps

Which cloud provider do you recommend?
The one that fits your team, existing systems and budget. We work with AWS, Google Cloud and Azure, and will tell you when simple hosting is enough.
Can you reduce our cloud bill?
Often, yes. We review usage and right-size servers, storage and scaling, and flag what can be switched off.
What is MLOps?
The practices that put machine-learning models into production reliably: versioned models, automated training and deployment, and monitoring for drift.

Let's talk about what you want to build

Tell us what it is. Someone who can actually answer will reply, usually within a working day.

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