Services
AI Engineering
We build production AI systems, RAG pipelines, copilots, document search, agentic workflows, that are traceable, evaluatable, and cost-controlled, not demos that fall apart under real usage.
Cloud & Infrastructure
We own the infrastructure a product runs on, not just the application. Provisioning, CI/CD, observability, and the operational discipline that keeps it reliable under real traffic.
IoT & Connected Hardware
We build embedded hardware control systems that connect device-side logic, cloud fleet management, and mobile apps. Think Raspberry Pi controllers for solar, battery, awning, wind sensing, and telemetry workflows that need to work online and offline.
Frontend Engineering
We build the product surface your users actually touch, engineered for maintainability and correctness, not just a working demo. The stack is picked for the requirement, never assumed in advance.
Full-Stack Development
We pair frontend and backend capability so a feature ships as one piece of work, not two disconnected halves waiting on each other.
Design Systems
We build and maintain governed component libraries that let multiple product squads ship consistent UI without each one re-solving the same problems.
Performance Optimization
We diagnose and fix the Core Web Vitals issues that are actually costing conversion, not the ones a generic audit tool flags by default.
Common questions
One area is fine, and plenty of engagements start that way, usually with a single specific problem like a checkout flow that has gotten slow or a retrieval system returning the wrong documents. Others span several areas because the problem genuinely does. The Rivian work covered AI engineering, cloud infrastructure, and observability together, since splitting them would have meant three teams negotiating over the same latency budget.
We scope before we quote. That means understanding what you are building, what already exists, and where the real constraint sits, which is frequently not where it first appears. On the Marks and Spencer engagement the assumed problem was JavaScript bundle size. It turned out to be render-blocking third-party scripts and unoptimized hero imagery. Scoping first is what keeps a quote honest rather than optimistic.
Small, and shaped around the work rather than a template. The custom print platform ran with two frontend engineers, three backend engineers, and one QA over roughly six months. We would rather tell you a project needs four people and explain why than staff it with eight and find work for them.
We are in IST, UTC+5:30, and we hold deliberate overlap windows with US Eastern and UK hours rather than expecting people to reach us whenever. Everything outside those windows runs async: decisions and progress land in writing, and reviewable work arrives on a predictable cadence. It is a different arrangement from generic outsourcing, and it is built that way deliberately.
Either, depending on what the system needs. The goal is infrastructure your own team can operate after launch, which means readable code, documented decisions, and infrastructure as code where it applies. When staying on is the right call, we stay. The custom print engagement continued about six months past initial launch through A/B testing and new feature work, with no regressions shipped.
Both, and a good share is existing production systems. Marks and Spencer was a live platform serving over two million product pages a month, not a greenfield build. Working inside something already carrying real traffic is a different discipline: you have users to protect and no appetite for regressions while you change the rendering path underneath them.
Based in the US or UK and exploring remote engineering capacity? See how we deliver async-first with US and UK teams from India.
Tell us what you're building. If your scope fits one of these seven areas, let's talk.