We design and deliver production-grade data platforms, cloud migrations, and AI systems for Fortune 500 leaders. Faster time to insight. Autonomous agents. Predictive and prescriptive analytics — built to scale, governed to last.
— Selected Engagements
Trusted by Fortune 500 leaders across payments, aerospace, banking, healthcare, media, and energy.
Client names referenced represent past and present engagements. All trademarks are the property of their respective owners.
Four disciplines, one continuous practice. We take enterprises from fragmented legacy estates to governed, AI-ready data platforms — and the agents, insights, and products that run on top of them.
Replatforming legacy warehouses, ETL estates, and data lakes onto modern lakehouse architectures. Medallion design, governed Bronze/Silver/Gold layers, Unity Catalog and Lake Formation — engineered for cost, performance, and compliance.
End-to-end migrations to AWS, Azure, and GCP — including GovCloud and regulated environments. CDC pipelines, Oracle-to-lakehouse tracks, DDL decomposition, and reconciliation frameworks built for zero-drift cutovers.
Hadoop-to-lakehouse, Elasticsearch-to-object-store, and proprietary-to-open-format conversions at hundred-terabyte scale. Delta and Iceberg transitions with retry, reconciliation, and reprocessing built in from day one.
Production RAG services, LangGraph-orchestrated agents, MLflow-governed model pipelines, and NLP-driven data search. Self-healing workflows with human-in-the-loop checkpoints — trustworthy, observable, and governed.
We're measured by what our platforms deliver. These are the outcomes we design for — and the ones we've shipped, again and again, across regulated and non-regulated estates.
Governed self-service analytics that compress reporting cycles from weeks to hours — with trustworthy lineage and audit-grade controls.
Forecasting, risk, and optimization models embedded directly into operational systems — not slide decks — so the business can act on them.
Agentic workflows that detect, diagnose, and remediate — reducing incident load, accelerating migrations, and running data operations without the overnight pager.
Natural-language interfaces over the lakehouse. Business users ask questions in plain English; the platform returns governed, cited, explainable answers.
Durable, versioned, owned data assets with SLAs — replacing one-off extracts and fragile pipelines with reusable building blocks.
Deep practitioner-level experience across the platforms where enterprise data actually lives. Our architects have built, tuned, and governed these at scale in production — not just in demo environments.
We don't just know the tech — we know the regulations, the data shapes, and the reporting obligations. From FedRAMP-High workloads to PCI-DSS payment flows, from HIPAA-bound claims to ISA-95 manufacturing telemetry.
Grid · Gen · Assets
Banking · Payments · Risk
Claims · EHR · Populations
Upstream · Mid · Downstream
ISA-95 · Supply · Quality
Every engagement is scoped around a measurable business outcome. These are the programs we deliver most — from accelerating AI adoption to hardening governance and guardrails.
From strategy through pilot to production. We take AI from PoC purgatory to scaled adoption with clear KPIs, change management, and user enablement.
Agent-driven data pipelines that self-diagnose, self-remediate, and self-optimize — reducing manual toil while accelerating delivery velocity.
End-to-end governance foundations: data catalogs, lineage, stewardship, access controls, and regulatory reporting — built on Unity Catalog, Purview, Alation, or Collibra.
Quality, freshness, schema, and cost observability across the lakehouse. SLO-driven monitoring that catches issues before the business feels them.
ML and agentic patterns for claims integrity, transaction fraud, and anomaly detection — tuned for explainability, auditability, and regulator review.
Responsible AI frameworks: model risk management, bias and fairness testing, PII guardrails, prompt safety, and continuous model evaluation.
A legacy warehouse you can't retire. A migration that's stalled. An AI initiative that can't get past pilot. We'd like to hear about it.