Arovan turns AI ideas into reliable systems that work with your data, your applications and your security rules. We design, build and operate them on AWS, Azure or Google Cloud.
The full AI lifecycle, in one team
Platforms and technologies we work with
Most AI work stops between the prototype and real use. Models need clean data, safe releases, monitoring, access control and a cloud bill that makes sense. Arovan plans for all of that from the first week.
Four practices, one team. Start with the one you need now and add the rest as you grow.
Assistants, RAG search and agentic workflows grounded in your own data, with evaluation and guardrails.
Pipelines, registries and GPU serving that ship models safely and keep them fast and affordable.
Reliable batch and streaming pipelines that feed dashboards, models and decisions.
Kubernetes, CI/CD, infrastructure as code and the applications built around your AI.
Find the use cases worth funding, size the return and plan the architecture before code is written.
Assistants, RAG search and copilots that answer from your documents and systems.
Agents that use your tools and APIs to finish real tasks, with people approving what matters.
Ship models the way you ship software: versioned, tested, released safely and watched.
Fast, reliable model serving on GPUs, sized so you stop paying for idle capacity.
Turn invoices, forms, scans and images into structured data your systems can use.
Clean, versioned pipelines that feed both your dashboards and your models.
Well-architected landing zones on AWS, Azure or Google Cloud, and safe moves between them.
Kubernetes, CI/CD and infrastructure as code that make every release routine.
The product around the model: APIs, integrations, internal tools and web apps.
Know what every model does, who approved it and how it behaves before anyone asks.
Hands-on workshops that leave your engineers able to run what we built together.
Get an AI maturity score with a recommended first step, or estimate what better GPU and cloud usage could save. Everything runs in your browser.
Five questions. No sign-up.
Models drift, traffic grows and cloud bills creep up. Our operations team watches your AI systems, fixes issues and keeps cost in check, so your engineers can keep building.
Our engineers have built production systems in these sectors. Pick the closest match and we will show you how it would work for you.
Volume forecasts by lane and hub, and delivery-time models updated with live tracking events.
Low-latency fraud models with safe releases, plus RAG assistants over policies and case history.
Patient-level risk models and entity extraction from clinical documents, with full traceability.
Semantic search and recommendations that respond in milliseconds, and assistants that know your catalogue.
Summaries, copilots and automation for your users, with evaluation and cost control as usage grows.
Faster investigations, root-cause analysis and runbook automation for platform and SRE teams.
Fixed scope and fixed price where we can. Starting prices below; your proposal gives the exact figure.
Review of data, models, infrastructure and team, with ranked use cases and a 90-day plan.
A focused build that proves value, integration fit and security assumptions on real data.
A dedicated team delivers your MLOps platform, LLM application or AI infrastructure, with weekly demos.
Monitoring, incident response, upgrades and a pool of engineering hours for new work.
Prices exclude taxes. Hourly and dedicated-team arrangements are also available.
A free call, then a short assessment of goals, data and systems. You get a written plan and a fixed quote.
1–3 weeksArchitecture, security and success metrics agreed before the build starts.
1–2 weeksShort sprints with a demo every week. Everything lands in your repositories and cloud accounts.
4–10 weeksGo-live with monitoring and runbooks. We hand over to your team or keep running it for you.
OngoingStraight answers for teams planning their first or next AI project.
We help you pick use cases worth doing, design a secure architecture, build the system and connect it to your existing applications and data. You can stop after any stage, and you keep all code and documentation.
Agentic AI lets a model take steps on your behalf: look up data, call your tools and complete a task. It works best for repeatable processes with clear rules, and we always add approval steps and logs so people stay in control.
We are based in Pune, India, and work remotely with clients worldwide. Our working day overlaps with European afternoons and US mornings, and we agree fixed meeting slots at the start of each project.
We invoice in USD, EUR, GBP or INR. Fixed-price projects are billed in milestones; retainers are billed monthly in advance.
You do. All code, infrastructure definitions, trained models and documentation are assigned to you and live in your repositories and cloud accounts.
We sign an NDA before discussing details, work inside your accounts with least-privilege access, and never copy production data to our own systems without written approval.
Tell us about one process or product you want to improve. In a free 30-minute call we will tell you honestly whether AI is the right tool and what it would take.
We reply within one business day with next steps, or a straight answer if we are not the right fit.