LandingAI collaborates with Snowflake to deliver agentic document extraction into the AI Data Cloud, enabling energy organizations to accelerate modernization, improve resiliency, and harness AI-driven insights at scale
Mountain View, Calif. – January 27, 2026 – LandingAI, a leader in intelligent document processing, today announced its collaboration with Snowflake, the AI Data Cloud company, to support the launch of Snowflake’s new Energy Solutions and help energy organizations use data and AI more effectively across their operations. Through this collaboration, LandingAI, Snowflake, and other industry leaders are empowering oil and gas, power and utilities providers to modernize infrastructure, improve efficiency, and accelerate progress toward a more reliable and lower-carbon future.
As energy companies face increasing pressure to secure critical infrastructure and navigate volatile markets, LandingAI is delivering Agentic Document Extraction (ADE), a Snowflake Native App. This solution provides a secure bridge to advanced AI capabilities, automatically parsing and writing document data directly into Snowflake’s governed environment. By bridging the gap between unstructured documents and IT, OT, and IoT systems, joint customers can create a unified data layer to activate AI-powered insights for safer, more efficient operations
“Energy organizations rely on vast volumes of unstructured documents that contain critical operational and regulatory intelligence, yet that data is often locked outside the analytics stack,” said Dan Maloney, CEO at LandingAI. “Built as a Snowflake Native App, our Agentic Document Extraction solution allows energy companies to securely orchestrate advanced AI workflows that bridge external extraction capabilities with the Snowflake environment. By automatically parsing and writing document data directly into enterprise tables, we are helping our joint customers move from manual workflows to scalable, AI-driven automation—all without compromising security, governance, or trust.”
As energy systems become more interconnected and digital, organizations need a unified and governed view of their most critical data. Snowflake’s Energy Solutions establish this foundation by helping companies bridge traditionally siloed IT and OT systems, collaborate more seamlessly with ecosystem partners, and unlock new AI-driven capabilities that improve reliability, efficiency, and long-term performance.
“Energy companies aren’t just modernizing systems; they are redefining how the world powers its future,” said Fred Cohagan, Global Head of Energy, Snowflake. “With Snowflake’s Energy Solutions and partners like LandingAI, organizations can bring unstructured document data—such as engineering reports, inspection records, and regulatory filings—directly into the AI Data Cloud. By combining governed document extraction with enterprise data across IT and OT systems, energy companies can activate AI responsibly, automate critical workflows, and gain the real-time intelligence needed to run more reliable operations, accelerate lower-carbon initiatives, and create long-term advantage in a rapidly evolving landscape.”
Snowflake and LandingAI together help energy organizations:
● Unify IT, OT & IoT Data for End-to-End Visibility: Break down traditional silos by consolidating business, operational, and market data into one secure platform. Provide real-time visibility across exploration, production, transmission/distribution, asset performance, trading/risk management and customer operations.
● Manage Asset Health & Improve Asset Performance with AI: Leverage AI and ML models to monitor asset health, reduce unplanned outages, and optimize O&M cost with throughput. Analyze long-term sensor and operational records to proactively detect risks and improve reliability.
● Improve Safety, Efficiency & Emissions Reduction: Combine field sensor data with enterprise systems to uncover insights that streamline operations, reduce downtime, and support protection of life, property and the environment.
● Modernize Infrastructure with Built-In Security & Governance: Enable data consistency, lineage, and compliance across complex energy systems. Scale AI innovation without impacting cybersecurity or regulatory requirements.
● Collaborate Across the Energy Value Chain: Use secure data sharing and Snowflake Marketplace to enable multi-party collaboration with suppliers, regulators, asset operators, and service partners.
To learn more about LandingAI’s collaboration with Snowflake and Snowflake Energy Solutions, click here.
About LandingAI
LandingAI is redefining intelligent document processing with Agentic Document Extraction (ADE), an API-first Agentic Document Intelligence platform that turns messy, multi-modal documents and dark data into structured, auditable intelligence. ADE enables enterprises to accelerate analytics, automation, and compliance by embedding intelligent document extraction directly into their systems through secure, scalable APIs.
Founded by Andrew Ng, co-founder of Coursera and founding lead of Google Brain, LandingAI combines deep learning innovation with enterprise-grade reliability and governance to help organizations operationalize AI for the documents that drive their business.
