Seven capability areas, all delivered by one engineering team that designs, builds, and runs the systems it ships. Productized engagements with fixed scope and fixed price, with clear deliverables, a set timeline, and a price agreed up front. Built around your real priorities, not vendor talking points.
Seven service areas
Intelligent automation. AI-powered insights. Agentic systems. Production-AI engineering across data + ML + agentic stacks. From use-case shaping to production deployment.
Lakehouse foundation. Decoupled storage + compute. Real-time + batch unified. Active metadata. Observability. AI-ready semantics. Cloud-native on AWS / Azure / Databricks / GCP, or open-source on-prem.
The 6 R's of modernization. 4-phase migration journey. Cloud-native + open source. Petabyte-scale proven. Migration Suite tooling (ProbeX, KodeX, ReconX, SynthX). Productized: 4-week audit, 6-week sprint, 10-16 week migration cohort.
Deepest Cloudera capability outside the vendor. CDH → CDP migration. On-prem lakehouse. Cloudera-to-lakehouse hybrid bridges. Migration Suite tooling (ProbeX, KodeX, ReconX, SynthX).
Self-service BI · data science · ML in production · fraud detection · network analytics · risk analytics. Domain-deep, capital markets, banking, talent, clinical, CPG.
Data & AI strategy. Maturity assessment. Operating-model design. Vendor selection. Business cases with ROI models the CFO underwrites. Three engagement shapes: 3-week sprint, 8-week strategy, 12-24 month strategy + execute.
Data products. AI products. Domain SaaS. From prototype to production-grade, monitored, multi-tenant operations. 14 products in our own portfolio. Three engagement modes (Co-build / End-to-end / Co-invested).
If you're a funded startup founder looking for an engineering pod to drop alongside your team, Co-build, End-to-end, or Co-invested modes.
Explore For Startups →How we engineer
Not pilots. Not proofs of concept. Systems that run when the day starts, when the auditor calls, when the dashboard loads at 2 AM. If a system can't run unattended by week 12, we engineered it wrong.
We sequence work in months, not multi-year programs. Each engagement is 4-16 weeks, fixed-scope, fixed-price. You see value at week 12, not month 18.
Licenses where they earn it. We default to open source for new builds. Vendors earn their keep against real workloads, not against vendor relationships or RFP scoring sheets. Vendor-neutral architecture, every platform.
At scale across customers
Let's talk.
Tell us what's in your data and AI stack, what's stalled, and what would change if it worked. We'll share what we've shipped against similar patterns in production, and what makes sense as a first step.
Our Hyperscaler & Strategic Partners
