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How Texture Unlocked Faster Insights and Cleaner Data with an AI-Powered Energy Intelligence Platform

Company

Texture Energy

Industry

Energy Data

Services

AI

Texture built a GenAI analytics solution on AWS with UTurn, enabling faster decisions, cleaner data, and accessible insights.

Key Benefits

  • Accelerated insights
  • Democratized data access
  • Improved data quality
  • Automation and efficiency
  • Operational agility

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Facing challenges with complex, siloed energy data, Texture partnered with UTurn Data Solutions to design a GenAI-powered analytics solution on AWS—enabling faster decisions, cleaner data, and accessible insights for technical and business users alike.

The Challenge

As the central nervous system for AI-driven grid intelligence, Texture aggregates data from devices, meters, markets, and distributed energy resources into a single, connected platform. This ecosystem empowers companies to securely connect, analyze, and share energy data across systems and stakeholders.

With rapid growth in connected assets, however, Texture needed to extract more value from the flood of energy data moving through its platform. Their microservices-based, event-driven architecture spanned multiple domains—Devices, Identity, Sites, and Locations—but critical insights were still locked behind engineering workflows or dispersed across disconnected systems.

Key challenges included:

  • Extracting meaningful patterns and actionable insights from a large, complex data ecosystem.
  • Making high-value insights accessible to non-technical users via intuitive, conversational interfaces.
  • Identifying and addressing data quality issues hidden across the pipeline.
  • Efficiently leveraging their data warehouse (Postgres, OpenSearch, Snowflake) for customer-facing analytics.
  • Processing and analyzing high-frequency telemetry data while maintaining enterprise-grade security.

“UTurn's GenAI solution has transformed how we interact with our data. What once took hours of manual analysis, we now do in seconds—with more confidence in the results. Their deep understanding of both AWS services and our business made them the ideal partner.”

– Victor Quinn, Co-Founder and CTO, Texture

The Solution

Texture selected UTurn Data Solutions for its specialized expertise in AWS data and GenAI services and its pragmatic, integration-first approach. Rather than replacing Texture’s existing systems, UTurn designed and implemented a GenAI layer that integrated seamlessly with current data pipelines—enabling new capabilities without disrupting established workflows.

The engagement was completed in eight weeks, showcasing UTurn’s ability to deliver value quickly while maintaining rigorous engineering and compliance standards.

Key Components of the Solution:

  • Built on AWS Bedrock, combining knowledge base and agent components.
  • Vector store implemented for semantic retrieval of energy data.
  • Semantic search interface developed for natural-language retrieval from AWS OpenSearch.
  • Customer Insight Agent – analyzes energy data to detect usage patterns and trends across devices and locations.
  • Data Cleanup Agent – identifies data quality issues, recommends corrections, and ensures ongoing data integrity.
  • Seamless integration with existing ETL pipelines to leverage current data flows.
  • Continuous data synchronization between operational systems and the new vector store.
  • Natural language query processing that generates structured, actionable insights enriched with contextual metadata.
  • Support for high-frequency telemetry ingestion while preserving strict data isolation and compliance standards.

Tech Stack:

AWS Bedrock · AWS OpenSearch · AWS S3 · Snowflake · Postgres · Python (pandas, scikit-learn) · Vector Store · Semantic Search · GenAI Agents

Measurable Results

UTurn’s GenAI solution transformed Texture’s ability to harness energy data—creating a more intelligent, efficient, and accessible analytics ecosystem.

  • Accelerated insights: Time to actionable insights dropped from days to minutes (confirm metrics).
  • Democratized data access: Non-technical users can now query complex datasets in natural language, reducing reliance on engineers.
  • Improved data quality: Hidden inconsistencies were identified and resolved, improving reporting accuracy and reliability.
  • Automation and efficiency: Manual workflows were replaced with AI-driven monitoring and reporting processes.
  • Operational agility: Data issues are now detected and remediated before they affect customers.

Why UTurn

Texture partnered with UTurn for its deep AWS partnership, proven AI expertise, and outcome-driven approach. UTurn’s ability to align technical excellence with measurable business impact enabled Texture to realize its vision of a scalable, AI-powered data platform—one that transforms complexity into clarity.

Through collaboration, speed, and rigor, UTurn delivered not just an AI project, but a foundation for ongoing innovation and realization.

Ready to realize the potential of your data? Partner with UTurn to build AI-driven analytics and intelligence platforms that deliver measurable outcomes and long-term scalability.