Modern data foundations engineered with observability, governance, and AI-ready semantics from day one. The platform that takes AI past pilot, on data the business trusts. More than 100 PB in production, across multiple enterprises and continents.
Our Partners
What we hear
Chief Data & AI Officer - US insurance carrier
→ What we doWe engineer agentic systems that actually ship. POC → production through the AI CoE, agents, RAG, copilots, MLOps.
Agentic AI & AI Engineering →VP Data Platform - North American bank
→ What we doEvery path is its own beast, and we engineer every one. From Greenplum, Teradata, Netezza, and HDP / CDH / Apache through to CDP, with compliance and scale built in and Cloudera Premier Partner depth behind it.
Cloudera Big Data →Head of Analytics - US retailer
→ What we doEight-week BI cycles → eight-second conversations. VizIQ turns natural-language questions into live dashboards, built ground-up.
Conversational AI Products →CTO - healthcare SaaS
→ What we doCloud moves re-host the slowness, they don't fix it. We engineer modernization, not just migration. Performance comes first, and bill compression follows.
Cloud Modernization →Our products
Home-grown data and AI products across three families, used inside our own engagements and shipped to customers.
VizIQ · OpsIQ · CortexIQ · ValenceIQ · RxIQ - chat-first BI, observability, deal intelligence, and clinical AI.
Explore the suite →
ProbeX · KodeX · ReconX · SynthX - inventory, automated rewrites, cell-level reconciliation, and synthetic-data fallback.
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NexusLakehouse · Stream Markets · Forensica · SentinelAI · Investigator's Copilot - the five-layer capital-markets surveillance stack.
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What we engineer
From strategy to production AI, delivered by the same engineers who run platforms at scale. Productized engagements, fixed scope and price.
Production-AI engineering across data, ML, and agentic stacks.
Explore →Lakehouse foundation, real-time + batch, AI-ready semantics, cloud or on-prem.
Explore →The 6 R's, sequenced migration cohorts, Migration Suite tooling, petabyte-scale.
Explore →CDH → CDP migration, on-prem lakehouse, hybrid bridges, hardened operations.
Explore →Self-service BI, ML in production, fraud detection, network and risk analytics.
Explore →Maturity assessment, operating-model design, vendor selection, ROI-anchored roadmaps.
Explore →Data products, AI products, domain SaaS, prototype to production. Co-build / End-to-end / Co-invested.
Explore →4–6 engineer pods live in 3 weeks. Co-build, end-to-end, or co-invested, founder-direct.
Startups →Cloudera expertise
The deepest Cloudera capability outside the vendor, engineered on top of CDP and operated like a product. Custom frameworks, native Impala and Kudu extensions, and hardened, governed operations at petabyte scale.
Analyze smarter. Detect faster. Resolve instantly.
Reactive firefighting, to managed reliability.
The cognitive engine for intelligent cluster assessment.
Assessment-to-decision, from hours to minutes.
Plus the Migration Suite accelerators, ProbeX → KodeX → ReconX → SynthX for inventory, automated rewrites, cell-level reconciliation, and synthetic-data fallback.
35+ PB greenfield CDP data warehouse
Architected and delivered a secure, regulatory-compliant 35+ PB Hadoop data lakehouse for a major global stock exchange. Processing over 32 billion daily trade and order records via real-time streaming, the platform powers critical market surveillance, regulatory reporting and data analytics. We successfully retired five legacy Greenplum environments, taking this greenfield project to continuous production in just 15 months.
Premier Partner. 100+ PB cumulative. Branded migration IP. The full Cloudera capability, modernize, harden, activate, in one engineering team.
Industry solutions
Domain solutions built on the same production engineering, ready to adapt to your estate.
Lakehouse-native surveillance suite with sub-second alert latency.
Explore →Patient cohort discovery, deviation detection on harmonized data.
Explore →Candidate scoring, market-rate benchmarks, self-service talent analytics.
Explore →AI-driven identity verification, document processing, ongoing monitoring.
Explore →Inventory analytics, demand sensing, omnichannel customer-360.
Explore →Revenue assurance, real-time fraud detection, customer-360 on high-volume flows.
Explore →Highlighted success story
We engineered and run the Cloudera-anchored data platform at one of the largest stock exchanges in the world, multi-environment, multi-workload, hundreds of pipelines at 99.99%+ uptime on regulator-compliant infrastructure, in continuous production at PB scale.
Trade clearing data platform. Settlement, margining, and risk-management workflows on a regulatory-grade audit trail.
Read the story →Candidate scoring, market-rate benchmarks, and recruiter intelligence. Azure-orchestrated pipelines with a modern semantic layer for self-service analytics.
Read the story →Patient cohort discovery, site selection, and protocol-deviation detection on harmonized clinical data. Anchor reference for the RxIQ product family.
Read the story →Insights
Most enterprise AI pilots impress in a demo, then stall for months. The blocker is rarely the model. It is the engineering around it.
Manipulation now hides in the gaps between venues. Here is how to build detection that correlates across markets and stands up to a regulator.
You do not have to rip out Cloudera to get a lakehouse. A hybrid bridge moves each workload only when the economics are right.
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
