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Executive Summary: Which are the Top 10 Companies advancing AI in Oil and Gas Industry?
- Cosmos Green Energy Solutions (UAE) – uses AI-powered robotics to automate extraction, reduce emissions, and enhance safety in hazardous environments.
- Data Insights AI (UK) – combines physics-based models with AI to optimize drilling, improve forecasts, and support real-time decision-making.
- VarIntel (US) – uses AI to automate E&P optimization, identify infill well sites, and reduce reservoir modeling complexity.
- EarthScan (UAE) – applies AI to satellite and seismic data to accelerate exploration and improve reservoir targeting.
- aiosensors (Peru) – integrates AI with IoT sensors to predict failures, optimize maintenance, and cut downtime.
- OliOil.iO (Finland) – deploys autonomous AI vessels to detect, track, and clean oil spills with minimal human input.
- MetaNeural (US) – provides AI-driven XR training to simulate real-world oilfield hazards and enhance workforce preparedness.
- EXANODIA (France) – enables AI-assisted NDT inspections to detect faults, automate reporting, and reduce operational risks.
- Spector.AI (US) – delivers AI-based asset health monitoring using real-time data and computer vision for predictive maintenance.
- ROAM AI (US) – optimizes artificial lift systems using AI to adjust pump settings, reduce wear, and improve well output.
Companies advancing AI in oil and gas industry are gaining traction as the sector embraces digital transformation to increase efficiency, safety, and sustainability.
The AI in the oil and gas market is projected to reach USD 7.64 billion in 2025 and is expected to reach around USD 25.24 billion by 2034. The market is expanding at a solid compound annual growth rate (CAGR) of 14.2%. This surge is fueled by the need for predictive maintenance, optimized drilling, and real-time data analytics.
This report features 10 oil and gas AI companies to watch in 2025 that showcase technologies to improve exploration accuracy, reduce operational costs, and support data-driven decision-making.
Global Startup Heat Map highlights Emerging Companies Advancing AI in Oil and Gas Industry
Through the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering over 7M+ startups, 20K+ technology trends, plus 150M+ patents, news articles & market reports, we identified 10 oil and gas AI companies.
The Global Startup Heat Map below highlights companies advancing AI in oil and gas industry in 2025 as well as the geo-distribution of 80+ startups & scaleups we analyzed for this research.
According to our data, we observe high startup activity in the USA and India, followed by the UK. The top 5 oil and gas AI startup hubs are London, Dubai, San Francisco, Houston, and Austin.
Discover Emerging AI Solutions for Oil and Gas to Watch in 2025
We hand-picked startups to showcase in this report by filtering for their technology, founding year, location, funding, and other metrics. These emerging companies advancing AI in oil and gas industry work on solutions ranging from automated AI oil spill collection and artificial lift optimization to E&P production optimization and AI-driven XR training solutions.
1. Cosmos Green Energy Solutions
- Founding Year: 2025
- Location: Abu Dhabi, UAE
- Use For: AI-driven Automation & Robotics
Cosmos Green Energy Solutions uses robotics and AI-driven automation technology to improve productivity and sustainability in the oil and gas sector. Its intelligent systems optimize industrial operations, track the condition of equipment, and simplify intricate extraction procedures by combining autonomous robotic units with machine learning algorithms.
The startup increases asset life and reduces downtime by fusing real-time data analytics with predictive maintenance capabilities. Additionally, its robotic solutions improve worker safety and operational continuity by handling high-risk tasks in hazardous environments.
Moreover, the technology facilitates the deployment of renewable energy and aligns industrial operations with decarbonization objectives by integrating with current infrastructure.
Cosmos Green Energy Solutions further provides oil and gas companies the ability to update production processes, reduce emissions, and achieve intelligent energy management.
2. Data Insights AI
- Founding Year: 2023
- Location: Edinburgh, UK
- Use For: Physics and AI for Energy Industry
Data Insights AI offers a cloud-native data platform that advances operational performance in the oil and gas sector by combining AI with physics-based models. Its integrated system ingests and analyzes large amounts of production, reservoir, and equipment data. This produces accurate forecasts and actionable insights for exploration and production processes.
Moreover, the platform optimizes drilling parameters, detects anomalies, and improves reservoir simulation accuracy by fusing machine learning algorithms with physics principles. Its architecture also dismantles conventional data silos while facilitating smooth information exchange between decision-makers and field workers.
The cloud-native data platform further minimizes unscheduled downtime and its impact on the environment by supporting automated changes and real-time monitoring. Data Insights AI also enables energy organizations to make smart, data-driven decisions that optimize resource recovery, increase asset reliability, and promote sustainable operational efficiency.
3. VarIntel
- Founding Year: 2021
- Location: Oklahoma, US
- Use For: E&P Production Optimization
VarIntel creates AI-driven solutions to maximize exploration and production (E&P) activities in the oil and gas industry. Its platform uses machine learning algorithms to estimate decline trends and assess production data instead of relying on labor-intensive reservoir modeling. It also determines the best locations for infill wells using these advanced algorithms.
Credit: VarIntel
The technology continuously modifies hydraulic fracture designs by allowing operators to improve recovery while wasting fewer resources based on field performance. VarIntel’s technology streamlines deployment and operational effectiveness by reducing the need for expensive software licenses and intensive training.
Additionally, the platform facilitates real-time decision-making by combining industrial, geological and geophysical data into a single interface.
The startup also offers a data-driven approach to sustainable production optimization by automating intricate engineering decisions and concentrating on actionable insights. This allows operators to maximize output, reduce costs, and carbon intensity.
4. EarthScan
- Founding Year: 2022
- Location: Al Maryah Island, UAE
- Use For: AI-powered Exploration and Analysis
EarthScan offers an AI-powered exploration and analysis platform that speeds up asset finding and performance forecasts for both oil and gas and geothermal resources. It uses machine learning (ML) algorithms to process large geographical, geological, and subsurface datasets. The platform also accurately identifies drilling targets and evaluate reservoir potential.
Additionally, the platform identifies hidden patterns that direct exploration teams toward the most viable resource zones. It does so by combining satellite imagery, seismic data, and historical production trends.
Further, EarthScan’s technology minimizes the time spent on manual interpretation by enabling quick scenario analysis and dynamic updates as new data becomes available. Its user-friendly interface allows operators to make informed decisions about drilling and development by presenting insights in clear visual representations.
EarthScan also provides a scalable solution for businesses seeking more intelligent, data-driven asset management in the conventional and renewable energy sectors. It does this by optimizing exploration processes, reducing geological risk, and improving resource recovery.
5. aiosensors
- Founding Year: 2022
- Location: Lima, Peru
- Use For: AI Monitoring And Analytics
aiosensors improves oil and gas industry’s operational dependability and efficiency with its AI-driven monitoring and analytics platform. Its solution tracks the health of equipment, identifies anomalies, and anticipates problems before they affect production. It does this by combining IoT-enabled sensors with real-time data analytics and cloud computing.
Moreover, the platform proposes maintenance tasks and detects small performance abnormalities by fusing high-frequency data streams with machine learning algorithms. Additionally, it allows operators to monitor assets remotely, which lowers the cost of on-site inspections and increases worker safety.
The solution further promotes energy efficiency by examining consumption trends and recommending process improvements that reduce fuel use and emissions. Its AI sensors provide actionable insights to reduce downtime, increase asset longevity, and ensure steady production output by integrating into current industrial networks.
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6. OliOil.iO
- Founding Year: 2023
- Location: Turku, Finland
- Use For: Automated AI Oil Spills Collection
OliOil.iO uses an automated AI and robotics system to collect oil spills from ships, harbors, and seas with minimal human intervention. Its system combines ML algorithms with autonomous vessels equipped with sensors to identify, track, and contain oil slicks in real time.
The ships plan their routes to effectively encircle and collect the oil spill upon identification, minimizing its spread and negative effects on the environment. The AI and robotic system adjusts to shifting sea conditions and spill dynamics while continuously broadcasting real-time data to onshore control centers.
OliOil.iO’s solution further reduces operational risks for staff and response time compared to manual cleanup methods. Additionally, the technology facilitates routine monitoring and emergency containment by integrating with port and vessel operations.
7. MetaNeural
- Founding Year: 2024
- Location: Austin, Texas, US
- Use For: AI-driven XR Training Solutions
MetaNeural advances worker readiness in high-risk oil and gas operations with its AI-powered XR training platform. It allows employees to practice danger detection and emergency response in realistic situations using its immersive solution. This platform combines AI and extended reality (XR) environments to replicate complicated industrial scenarios.
Moreover, the platform customises training routes to improve individual abilities and fill in knowledge gaps by recording learner interactions and using adaptive learning algorithms. Additionally, the SaaS platform facilitates real-time performance tracking and remote access. It also ensures uniform competency development among geographically dispersed teams.
MetaNeural’s XR modules further shorten training duration and improve retention by giving employees practical, situational experience without interfering with actual operations.
8. EXANODIA
- Founding Year: 2023
- Location: Saint-Priest, France
- Use For: Industrial Inspection and Non-destructive Testing Solutions
EXANODIA provides non-destructive testing (NDT) and AI-assisted industrial inspection solutions that improve accuracy and dependability for oil and gas infrastructure. Its software examines data from radiography, ultrasonic, and other NDT techniques to find structural irregularities, corrosion, and defects in tanks, pipelines, and other vital parts.
The technology automatically indicates anomalies that require maintenance or repair and identifies fault patterns by using machine learning algorithms to massive inspection datasets.
Additionally, EXANODIA’s platform produces comprehensive reports that assist adherence to industry safety requirements, standardizes inspection results, and lowers operator subjectivity. It allows engineers to verify asset integrity without interfering with operations due to software’s integration with current inspection hardware and real-time monitoring capabilities.
This data-driven solution further protects assets and maximizes maintenance plans in challenging oil and gas settings. It expedites the inspection process and ensures early problem detection.
9. Spector.AI
- Founding Year: 2022
- Location: San Jose, California, US
- Use For: Asset Health Platform
Spector.AI‘s AI-based asset health platform strengthens visual inspection and predictive maintenance in the oil and gas sector. Its system deploys specialized AI agents to continually evaluate real-time equipment data, detect early signs of wear or malfunction, and suggest maintenance before failures occur.
Credit: Spector.AI
In addition, the platform ensures fault diagnosis and prompt response by examining live sensor feeds and historical performance records to find trends. Its visual inspection module also reduces manual inspection time and human error by using computer vision to assess structural problems, identify surface irregularities, and automate reporting.
The platform also scales across a variety of asset classes, including as pipelines, rigs, and processing facilities, and connects easily with current industrial control systems. Spector.AI further allows operators to sustain safe, effective, and sustainable operations in high-demand energy situations by prolonging asset lifespan, reducing unscheduled downtime, and optimizing resource allocation.
10. ROAM AI
- Founding Year: 2024
- Location: Oklahoma, US
- Use For: Artificial Lift Optimization
ROAM AI provides an AI-driven platform that improves artificial lift systems for oil and gas producers looking to increase output and reduce expenses. Its platform detects inefficiencies in pump performance, fluid levels, and flow rates by analyzing continuous streams of production and equipment data.
The platform modifies lift settings and forecasts subsurface conditions using ML algorithms to maintain maximum well productivity. It allows field engineers to avoid unscheduled shutdowns and save equipment wear by providing real-time notifications and prescriptive actions.
Additionally, ROAM AI’s interface enables teams to monitor performance across several wells and more efficiently distribute maintenance resources.
The startup promotes profitable field development, increases equipment longevity, and improves uptime by connecting automated, data-backed suggestions with raw operational data. It further turns intricate artificial lift operations into efficient, knowledge-based procedures that maintain consistent energy production.
Discover All Emerging Oil & Gas Startups
The oil & gas startups showcased in this report are only a small sample of all startups we identified through our data-driven startup scouting approach. Download our free Oil & Gas Innovation Report for a broad overview of the industry or get in touch for quick & exhaustive research on the latest technologies & emerging solutions that will impact your company in 2025!
