We design, build and run AI agents, AI applications and the cloud infrastructure behind them — turning real business problems into systems that work in production.
You don’t need to understand AI to start. Tell us the business problem. We’ll figure out the technology.
Each product started as a real system we designed, built and tested. Try a simulated walkthrough, then ask for a demo on your own environment.
Read-only AI agents audit a folder of repositories and return one evidence-backed recommendation per repository: continue, archive, delete-candidate or investigate.
Working tool, used on our own repositories
See the productOne portal for Azure application teams and the platform team that keeps them safe: a self-service catalogue, a routing policy that applies safe changes at once and sends risky ones for approval, and an AI assistant.
Pilot-ready (version 0.3)
See the productAn Android app for continuing real software work away from your laptop: describe a change in a sentence, review the diff, approve it, and it is applied, validated, committed and pushed.
Engine complete with 228 tests; the Android app builds and passes its tests in CI
See the productA commerce platform with a trend-intelligence pipeline: it gathers signals from world fashion capitals, scores them, adapts them for a local market and publishes new designs every day after human review. Built first as AURA JEWELS, for jewellery in India.
MVP: the full storefront and admin run on deterministic mock providers
See the productA complete matrimonial platform: web app, admin and moderation portal, Android and iOS app, API with real-time chat, and Azure infrastructure that can be created, tested and destroyed from one workflow. Built first as Marathi Jeevansathi.
Complete stack running on Azure with fictional demo data
See the productWe don't open with a model choice or a framework. We open by asking which of these three moves your numbers — then design backward from that.
Faster responses, better-qualified leads and follow-up that never sleeps — so fewer people who wanted to buy slip through the cracks.
Support that actually resolves things, onboarding that sticks, products people keep using — instead of quietly churning.
Repetitive, expensive or error-prone work handed to a system that doesn't get tired — with a person still in charge of judgment calls.
AI, software and cloud — designed together, so you don't have to stitch vendors together or translate between them.
Digital workers that understand context, use your tools and systems, and complete repetitive work end-to-end — with the guardrails to trust them.
“Someone on my team copies data between three systems every day.”
Custom web and mobile products powered by modern AI, designed around the way your business actually works — not around a demo.
“We want our customers to get answers from our own documents.”
Secure, observable infrastructure for running AI reliably on Azure, AWS or GCP — without paying for capacity you aren't using.
“Our prototype works on a laptop. It needs to work for real users.”
You don’t need to know which model, framework or cloud service to pick. Start with the outcome you want. We design the system, build it, and keep it running.
Pick a situation that sounds like yours and see how we'd approach it. AI should solve work — not become another layer of work.
Showing all 6 problems
Prototype cheaply. Test in temporary environments that disappear when the test ends. Measure real usage. Scale only what earns it. That is how we run our own systems — and yours.
$ deploy --env=dev --size=minimal prototype deployed cost exposure: minimal
Our stack is flexible by design. No technology is sacred if a simpler solution is better — and you never have to choose it yourself.
Model choice follows the problem, the data and the budget — never the other way round.
Connect the AI to the systems where the work actually happens.
Production code with tests, reviews and observability from day one.
Scale-to-zero by default. Temporary environments for testing. Budgets and alerts always on.
From the first conversation to a system people can depend on — in small, verified steps you can see.
Business problem, workflow and success criteria — in your words.
Architecture, AI strategy and a cost model you can question.
Agents, apps and infrastructure, shipped in small verified steps.
Operate, optimise and improve with real usage data.
Ten questions, a few minutes, no email address. You get a readiness band, your weakest areas and what to do about each — the same first pass we run at the start of an engagement.
Nothing you enter leaves your browser. Answers are kept in this tab's session storage so you can pick up where you left off; close the tab and they're gone. Nothing is sent anywhere unless you choose to share the result with us afterwards.
Five ways to work together, from a single paid conversation to an ongoing partnership. All of them start with the problem — and with agreeing on what success looks like.
A working session to think through your AI options out loud — what's worth doing, what isn't, and why. No build, no commitment.
We look at how your team actually works today and hand back a written map of where AI would pay for itself first — and where it honestly wouldn't.
Turn one business problem into a working prototype in a short, focused engagement — so you can decide with evidence instead of slides.
Take a prototype (ours or yours) through application engineering, security, cloud and deployment — into a system people can depend on.
Keep the system improving after launch: monitoring, cost optimisation, new capabilities and the next problems on your list.
You don’t need the perfect brief, a model preference or a cloud strategy. Tell us what is slow, repetitive, expensive or difficult. We’ll help shape the system — and tell you honestly if AI isn’t the answer.
Enough for an engineer to reply with something useful, not a sales call. Nothing is sent until the last step, and you can always just email instead.
Or write to hello@infranerds.com