9 AI companies transforming the oil and gas industry

As the oil and gas sector navigates rising cost pressures, operational complexity, and the energy transition, artificial intelligence is emerging as a critical intelligence layer across the value chain. From upstream exploration to downstream operations and market strategy, AI is reshaping how energy assets are discovered, optimized, maintained, and monetized. Rather than incremental digitalization, the industry is moving toward data-driven, predictive, and increasingly autonomous systems. Advanced analytics, machine learning, and simulation technologies are enabling operators to improve recovery rates, reduce downtime, optimize capital allocation, and make faster, higher-confidence decisions in volatile market conditions. FounderNest analyzed 414 companies actively operating at the intersection of AI and oil & gas, mapping an ecosystem that spans exploration, production, maintenance, reservoir management, and market intelligence. Together, these companies have raised $244.6B in disclosed funding as of February 2026, highlighting the strategic importance of AI as a core operating capability for the energy industry. Download the market report Key market trends AI adoption in oil and gas can be understood through six core subspaces, each targeting a different layer of industrial and commercial decision-making: Exploration and Production Optimization AI-driven analysis of geological and operational data to optimize drilling strategies, production efficiency, and resource extraction. Enhanced Oil Recovery (EOR) Advanced modeling and simulation techniques that improve recovery rates from mature or complex reservoirs. Predictive Maintenance Machine learning systems that anticipate equipment failures, reduce unplanned downtime, and lower maintenance costs across assets. Reservoir Management AI-powered reservoir modeling and simulation to support long-term production planning and recovery strategies. Market Analysis and Forecasting Data-driven tools for price forecasting, demand analysis, and strategic planning in volatile global energy markets. Data Analytics and Visualization Platforms that transform large, complex datasets into actionable insights and decision-ready visualizations. Space snapshot Based on FounderNest’s AI in the Oil and Gas Industry Smart Report (Feb 2026): Total companies analyzed: 414 Total funding raised: $244.58B (publicly disclosed rounds) Companies with at least one disclosed round: 39% Median headcount: 31 employees Median company maturity: 11 years Geographic funding distribution (HQ basis): United States: $161.35B, 201 companies, 334 rounds Europe: $40.1B, 80 companies, 125 rounds Asia: $43.01B, 75 companies, 50 rounds Canada: $57.63M, 26 companies, 20 rounds Africa, Australia, LatAm & Caribbean: Early-stage ecosystems with limited disclosed capital The ecosystem combines large industrial incumbents and hyperscale technology providers with a broad base of startups and scale-ups focused on specialized AI applications. Market momentum and evolution The AI in oil and gas space shows steady company formation alongside accelerating capital deployment: Company growth: 414 active companies 4.1% CAGR in company count over the last 5 years 3 new companies founded in 2025 within the surfaced cohort Funding evolution: $244.6B in total disclosed funding 14.5% CAGR in funding over the last 5 years Capital increasingly concentrated in late-stage rounds and strategic investments Financing profile: Median of 2 rounds per funded company Median $27.1M raised per company Mix of venture capital, corporate investment, government grants, IPOs, and M&A Emerging innovators Below is a curated list of companies highlighted in the report that are evolving how artificial intelligence is applied across exploration, production, reservoir intelligence, predictive maintenance, and decision support in the oil and gas industry. To fully explore this sector and uncover promising secure multi-cloud content and data management solutions, request a demo of FounderNest today. 1. Tachyus Tachyus is an AI-driven upstream optimization platform that combines physics-based modeling with fast machine learning to improve reservoir management and enhanced oil recovery. Its technology is widely used for waterflood and CO₂ EOR optimization, enabling operators to increase recovery, reduce capital intensity, and lower emissions through data-driven field development and production planning.Headquarters: San Mateo, United StatesFounded: 2013Headcount: ~38 employeesWebsite: 2. Maillance Maillance builds cloud-native, physics-informed AI applications that help oil and gas operators optimize production, manage reservoirs, and reduce operational and environmental impact. Its oilfield.ai platform applies machine learning to field development, production optimization, and reservoir management, aligning operational performance with decarbonization goals.Headquarters: Paris, FranceFounded: 2017Headcount: 11–50 employeesWebsite: LinkedIn: 3. Predico Predico is a reservoir and production analytics company applying AI, machine learning, and data science to oil and gas operations. Through its cloud-based Advanced Flow Analytics platform, Predico supports reservoir behavior analysis, production forecasting, and operational decision-making for upstream teams.Headquarters: Brisbane, AustraliaFounded: 2020Headcount: 11–50 employeesWebsite: 4. Drake AI – Productive Intelligence for Oil & Gas Drake provides AI-driven infrastructure that unifies oil and gas data and accelerates technical workflows for geoscientists and petroleum engineers. Its platform applies machine learning, OCR, and domain-specific AI to exploration and production optimization, enabling faster decisions and lower operational risk.Headquarters: United StatesFounded: Not disclosedHeadcount: 11–50 employeesWebsite: 5. RiseHill Data Analysis RiseHill delivers AI and machine learning solutions for upstream analytics, digital transformation, and lifecycle efficiency in oil and gas. The company supports exploration and production teams with data analytics, visualization dashboards, and AI-driven insights across decarbonization, CCUS, and sustainability planning.Headquarters: Kuala Lumpur, MalaysiaFounded: 2018Headcount: 11–50 employeesWebsite: 6. Embassy of Things Embassy of Things develops an industrial IoT messaging and AI infrastructure platform that applies machine learning and generative AI to optimize industrial assets. In oil and gas, its solutions span drilling optimization, production optimization, reservoir characterization, simulation, and predictive maintenance.Headquarters: San Diego, United StatesFounded: 2018Headcount: ~23 employeesWebsite: 7. NeuEra Energy NeuEra Energy applies AI- and ML-guided energy intelligence to exploration and production workflows, including reservoir characterization, geophysical analysis, production forecasting, and reserve estimation. The company operates across international basins, integrating AI into both technical and commercial decision-making.Headquarters: Houston, United StatesFounded: 2015Headcount: 11–50 employeesWebsite: 8. Gain.Energy Gain.Energy operates an AI platform and marketplace of specialized AI agents designed specifically for oil and gas use cases. Its Upstrima AI Agents support enhanced oil recovery, reservoir performance optimization, and operational decision automation, signaling a shift toward modular, task-specific AI systems.Headquarters: Hallandale Beach, United StatesFounded: 2024Headcount: 11–50 employeesWebsite: 9. Phi OGRE Phi OGRE develops AI-enabled industrial software for centralized remote operations in oil and gas. Its MES and CROH platforms deliver predictive analytics, optimization, dashboards, and business intelligence The post 9 AI companies transforming the oil and gas industry appeared first on FounderNest .