We build the governed data platforms that AI and analytics actually need — and the software that runs on them. Founder-led, fixed-price, from Bharat.
Two pillars, causally dependent — the governed data platform first, then the software your business actually uses on top of it.
Legacy warehouses and scattered spreadsheets into a governed lakehouse — reconciled, auditable, and ready for whatever you build next.
Dashboards, internal tools, portals and automation — built by the team that built the foundation underneath. Legacy WordPress → Next.js modernization lives here too.
Two service lines, one standard of delivery: engineering the governed data platform first, then the software — including modernizing legacy websites — that runs on top of it. See the Process section for how each engagement runs.
We design reliable pipelines and governed lakehouse platforms on Fabric and Databricks, moving legacy systems to the cloud with validation at every step and reconciliation before cut-over.
We build the applications that run on top of the data platform — including migrating aging WordPress and template sites into fast, secure Next.js apps with the auth, dashboards and automation your old stack never allowed.
Application engineering is the second layer, not the first. We build on the governed data platform underneath, then unlock the features that move revenue.
Where most application builds start
What we build applications on top of
Not a generic phase diagram — the actual judgment calls we make on data reconciliation and cutover, and where each one has broken in practice.
Row-count parity per table plus value-level hashing — two tables can match on count and still disagree on content, so we check both before every cut-over.
Parallel-run reads on the new system while the old one stays the system of record, then cut writes over per-table or per-tenant behind a flag — never all at once.
A documented source-of-truth hierarchy, agreed before migration starts. Every override it triggers is logged with both conflicting values, not just the winner.
Timezone-naive timestamps, soft-deleted rows, duplicate keys, NULL vs empty string — the repeat offenders we check for by default, not after something goes wrong.
A disciplined, security-conscious way of working across web apps, data and the products we run ourselves — so what we ship is something you can rely on.
One team across frontend, backend and data — no hand-offs between vendors
Every record and route reconciled and verified before and after cutover
You work with the engineers doing the work — start to finish
Current, hands-on expertise in the stacks we build and migrate onto
We rebuild aging sites as real Next.js applications — auth, dashboards, billing and automation included — not another template skin over the same limits.
Our phased approach is designed for business continuity, so your site and data keep running while we move you onto the modern stack.
Hands-on across Next.js and TypeScript on the app side, and lakehouse architecture (Iceberg), Microsoft Fabric and Databricks on the data side — one team for both.
Encryption in transit and at rest, least-privilege access, and audit logging are baked in — built to align with GDPR and SOC 2 practices.
The platforms we specialize in and the practices that keep your data safe.
Open table formats — our default architecture, any vendor
Core ExpertiseOur published mid-market default — often already covered by existing E5/F5 licensing
Core ExpertiseDelta Lake & Spark, for heavier workloads and ML-intensive pipelines
Core ExpertisePractices by design
By DesignWe build on your own cloud tenancy — your subscription, your accounts, your data. You own the platform and can take it elsewhere at any time. We do not resell hardware, hosting or managed infrastructure, so we make no uptime or SLA claims; those belong to your cloud provider.
We design, ship and operate our own SaaS in production, for real users — the same engineering we bring to client work, running under real load and open for you to try.
