Bangkok-based digital transformation consultancy Seven Peaks combines AI-powered data extraction, engineering validation, and Snowflake's AI Data Cloud to help energy companies turn legacy documents into operational intelligence
BANGKOK, THAILAND – January 27, 2026 – Seven Peaks Software, a digital execution partner in Southeast Asia, today announced its collaboration with Snowflake, the AI Data Cloud company, as part of the launch of Snowflake’s new Energy Solutions. Within Snowflake Energy initiatives, Seven Peaks focuses on the execution-heavy work of transforming legacy engineering documentation and operational data into governed, Snowflake-ready datasets suitable for long-term analytics and AI.
The collaboration tackles some of the energy sector’s most persistent challenges: decades of critical engineering data trapped in legacy documents, fragmented systems, and siloed repositories where accuracy, auditability, and engineering intent are critical. Without disciplined execution, this data remains inaccessible to modern analytics, AI, and digital twin initiatives, stalling transformation efforts before they reach production.
Seven Peaks works with Draga, an engineering consultancy and data management specialist for heavy industries, to execute the extraction, validation, and structuring of industrial data by combining AI-assisted processing with discipline-engineering expertise and human-led validation by discipline engineers. This approach ensures that document digitization is treated as a governed industrial process, not a one-time automation task.
“Most energy companies are sitting on engineering data locked in legacy documents and disconnected systems. Our work with partners like Draga uses AI and discipline engineers to extract, validate, and structure that data so it's ready for modern platforms”, said Jostein Aksnes, CEO, Seven Peaks Software. “Our Snowflake Energy Solution provides the secure, governed foundation where that prepared data becomes actionable. Now our customers get the complete journey: from old unstructured vendor documents, P&IDs and other legacy technical documentation to a unified data platform that powers digital twins, advanced analytics, and AI-driven decision making.”
Seven Peaks brings deep expertise in designing and delivering enterprise data platforms across industries. In oil and gas and other asset-intensive environments, Seven Peaks uses Snowflake as the governed enterprise data foundation, delivering trusted, Snowflake-ready data that feeds downstream industrial platforms from Cognite and Kongsberg Digital. Through these partnerships, Seven Peaks combines its execution and data platform expertise with specialized domain knowledge and industrial AI capabilities, while retaining delivery ownership of the underlying data transformation.
"The energy landscape is more dynamic than ever, requiring a fundamental shift in how data is managed and utilized," said Fred Cohagan, Global Head of Energy, Snowflake. "Snowflake and partners like Seven Peaks Software are helping organizations build the trusted data foundation that this moment requires. When companies can unify IT and OT data, activate AI responsibly, and collaborate securely across the value chain, they gain the intelligence needed to power digital twins, optimize asset performance, and make faster, more informed decisions across their operations."
Together, Seven Peaks and Snowflake can help energy organizations:
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Prepare legacy engineering data for AI and analytics: Transform unstructured documents, datasheets, and drawings into validated data through AI-assisted extraction with engineer-led validation, ready for modern platforms.
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Modernize with built-in security and governance: Maintain data consistency, lineage, and regulatory compliance while scaling AI initiatives across complex energy operations.
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Enable collaboration across the value chain: Share data securely with suppliers, regulators, and partners through Snowflake Marketplace and governed data sharing.
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Connect engineering data to digital twins: Link validated asset data with operational intelligence platforms for real-time monitoring, simulation, and decision support.
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Consolidate IT, OT, and IoT data into a single governed platform: Replace siloed systems with unified visibility across exploration, production, asset performance, and trading operations.
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Apply AI to asset health and performance: Use machine learning on digital twin and operational intelligence platforms from partners including Cognite and Kongsberg Digital to predict equipment failures, reduce unplanned downtime, and optimize maintenance costs based on long-term operational data.
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