Skip to content

Service

Data & Analytics, Cloud Services

We build modern data platforms — lakehouses, streaming pipelines, feature stores and analytics products — on AWS, Azure and Google Cloud.

Offerings

What we deliver

  • Data platform architecture (lakehouse)
  • Streaming & batch pipelines
  • Feature stores & ML data ops
  • Analytics products & dashboards
  • Cloud engineering & FinOps

Our approach

How we engineer, end to end

  1. 1

    Contract-first data engineering

  2. 2

    Governance and lineage by default

  3. 3

    FinOps built into every workload

Outcomes

Outcomes teams have delivered

Real-time analytics on billions of events/day

35% cloud cost reduction via FinOps discipline

Related work

Recent case studies

Hi-Tech

SaaS platform modernization for a global ISV

Rearchitected a monolithic product to a cloud-native, multi-tenant SaaS platform on Kubernetes — with a phased strangler-fig migration and full CI/CD.

Outcome: 45% faster release cadence and 35% cloud-cost reduction post-migration.

Healthcare & Life Sciences

Clinical research copilot for a life-sciences leader

RAG-based assistant grounded in curated clinical and research knowledge, with evaluation harnesses and role-based governance for regulated use.

Outcome: Research analysts reporting significant productivity gains on literature review.

Talk to a Data expert

Book a 30-minute discovery call — we'll help scope the shortest path from where you are to production.

Talk to an expert