DatraIQ designs, builds and operates modern data platforms and AI solutions for the enterprise — on Snowflake, Databricks, Palantir, UiPath and the platforms your business runs on.
Strategy to scale, across the entire data lifecycle — so insight never gets stuck between teams, tools or handoffs.
Lakehouse and warehouse platforms on Snowflake and Databricks — engineered for performance, governed by default and ruthlessly cost-optimized. Legacy migrations executed with zero-downtime cutovers.
Learn moreProduction GenAI — RAG systems, AI agents and the MLOps backbone that keeps them accurate and compliant.
Learn morePalantir Foundry ontologies and operational apps that connect data, models and frontline action.
Learn moreAgentic and robotic automation with UiPath — repetitive work returned to the business at scale.
Learn moreGoverned self-service: semantic layers, certified datasets and dashboards people actually use.
Learn moreThe foundation beneath every practice above — quality, lineage and access controls that make AI safe, compliant and trusted.
One governed flow — sources to lakehouse to AI to action. Watch how your data moves through a DatraIQ-built platform.
Every platform we ship is designed for the capabilities your business will need next. Here's what that means in practice:
Copilots and assistants grounded in your governed data — already resolving up to 60% of internal queries for our clients.
Agents that plan and act across your systems — with approvals and audit trails. We scope a safe first workflow in weeks, not quarters.
Streaming pipelines that act on events while they still matter — fraud flags, stock-outs, pricing — not in tomorrow's report.
Architectures built so tomorrow's AI workloads run on what we build today. Your platform grows — it doesn't get replaced.
We don't dabble. Our engineers are certified practitioners on the leading data, AI and automation platforms.
SnowflakeAI Data Cloud architecture, warehouse migration, Snowpark, Cortex AI and cost optimization at scale.
DatabricksLakehouse engineering, Delta Lake, Unity Catalog, Mosaic AI and end-to-end ML pipelines.
PalantirFoundry implementations, ontology design and AIP-powered operational decision workflows.
UiPathEnterprise RPA, agentic automation, document understanding and automation CoE setup.
Azure & FabricMicrosoft Fabric, Synapse, Azure OpenAI and cloud-native data estates on Azure.
AWSRedshift, Glue, SageMaker and Bedrock — secure, scalable data and AI workloads on AWS.
Every engagement follows a disciplined, transparent process — value shows up early and compounds over time.
We map your data landscape, goals and constraints — and define success in measurable terms you sign off on.
Pragmatic architectures and roadmaps balancing speed, cost and governance. No over-engineering, no vendor bias.
Working software every two weeks. You see progress continuously — not in a final reveal.
We run, optimize and hand over — upskilling your teams so the capability stays with you, not with us.
Four commitments, written into every statement of work — not just this website.
We measure success in business impact — revenue unlocked, costs reduced, decisions improved — not in dashboards delivered or pipelines deployed.
Honest estimates, open backlogs and bad news early. You'll always know exactly where your engagement stands.
Tested, documented, production-grade work. We build systems your teams can maintain long after we're gone.
Every engagement transfers knowledge. We succeed when your team no longer needs us for what we built.
Strategy decks don't move metrics — working systems do. Every DatraIQ engagement is staffed with certified engineers who write production code from week one, with architecture and governance baked in rather than bolted on.
From the Pink City, we combine world-class platform expertise with a cost structure that makes ambitious data programs viable for enterprises everywhere.
Our storyDatraIQ migrated our entire warehouse to Snowflake in four months — under budget, with zero downtime. Our analytics costs dropped 45%.
The GenAI knowledge assistant they built on Databricks handles 60% of our internal support queries. The team's depth genuinely surprised us.
Their UiPath automation program gave us back 12,000 hours a year. More importantly, they taught our team to run it themselves.
Tell us about your challenge. We'll come back within 48 hours with an honest point of view — no sales pitch.
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