AI for Data Engineering Teams

Build smarter, cleaner, and more trusted data automatically

You’ve built the stack. You’ve bought the tools. But the work never ends.

Every week teams fight schema drift, redundant pipelines, and endless validation checks - while stakeholders wait for reliable data. Half your capacity goes to maintenance, not innovation. Unframe’s tailored AI solution gives data engineering leaders a new advantage: intelligent automation that fits your stack, fixes data issues in real time, and frees your team to focus on what matters most - building what’s next.

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Data engineering today

50%

time spent on cleaning, tagging, and maintaining pipelines.

69%

struggle with compliance and value delivery despite increased spend.

91%

increased data management investment last year.

How Unframe helps data engineers deliver more value

Your stack keeps growing, but so does the complexity. From ingestion to governance, the manual work never stops - and innovation slows.

Unified Data Intelligence

Discover, classify, and monitor all your data - automatically.

Integrate across your warehouse, lake, and catalog for a single intelligent view.

Detect anomalies, schema drift, and duplicates in real time.

Enforce role-based governance and fine-grained access controls across silos.

AI-Powered Data Lifecycle Automation

Let AI monitor, optimize, and adjust your data ecosystem in real time.

Ensure data quality, lineage, and freshness without constant manual checks.

Optimize storage, transformation, and retrieval with predictive insights.

Auto-adjust workflows based on usage, drift, or compliance events.

Intelligent Governance & Compliance

Embed trust, transparency, and compliance by design.

Automate tagging, classification, and audit readiness.

Apply human-in-the-loop validation for critical data policies.

Govern data continuously with full traceability and reporting.

Life Sciences

Powering customer service log queries and root-cause discovery across tickets and outage reports

Discover more

Are we duplicating research spend anywhere?

I found overlapping R&D trials from two divisions working on similar immunotherapy targets. The duplication totals $85M annually. Consolidating efforts could accelerate FDA submission by 6 months.

What would you like to discover

Built for the next generation of data leadership

Whether you need to modernize pipelines or scale governance, Unframe’s tailored AI solutions for data management strengthen what you already have - to deliver faster, cleaner, and more compliant data with less overhead.