We build high-impact digital solutions that drive business transformation, from modern cloud data lakehouses and custom enterprise applications to autonomous generative AI agents and intelligent support systems, engineered for scale and security.
A whiteboard sketch, a rough idea, a process someone still runs by hand: we take it from there to a system running in production, with the engineering underneath built to hold up under audit, load and time.
Multiple practices, delivered under one standard: production-grade, governed, and built to outlast the engagement.
We architect modern, metadata-driven data lakehouses and cloud data warehouses that unify disparate sources, eliminate silos, and drive real-time business intelligence, with lineage, access control and cost governance built into the platform, not bolted on.
We build interactive, real-time reporting ecosystems and the semantic layers beneath them: self-service dashboards, embedded analytics and metric definitions that stay consistent wherever they are read, so the number in the board pack matches the number in the tool.
We design and build secure full-stack web applications, internal tools and microservice APIs tailored to complex operational workflows: the systems your teams work in every day, engineered for uptime, access control and change without downtime.
We build production-ready generative AI that turns enterprise knowledge into automated action, from intelligent customer support systems to autonomous multi-agent workflows, with retrieval grounded in your own governed data.
We build self-service data governance platforms that keep data accurate and consistently defined across the business, with lineage, access control and audit evidence built in, so compliance is a property of the platform, not a project of its own.
Automation across the build compresses delivery cycles rather than adding people to them.
Scope, build, and delivery stay with the same team throughout.
New Delhi and London, giving overlapping working hours across UK, EU and APAC teams.
Replaced a fragmented legacy estate with a metadata-driven Azure lakehouse where new sources onboard by configuration, failed jobs recover themselves, and governance held through the first audit cycle.
A governed calculation engine that took a critical month-end process off spreadsheets, replacing it with reproducible results, a full audit trail, and finance running it without engineering in the loop.
Audited and rebuilt an unmaintainable reporting estate around unified definitions and a centralised logic layer, so the same metric now means the same thing in every department.
A fully serverless RAG agent platform for advertising data, built for instant scale during bursts, nothing running when idle, and live prompt and feed control for non-technical operators.
A WhatsApp chatbot that answers students the moment they ask, resolving routine queries from the company’s question bank so the support team is no longer the bottleneck on response time.