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Custom AI for Oil and Gas

Every hour of downtime costs you money you can’t get back. Our solutions reduce unplanned stops by 67% and improve equipment effectiveness by 23%. Your operations run smoother, maintenance becomes predictable, and you get custom AI for oil and gas that pays for itself.

50%

drop in incidents

is achievable by employing AI-enabled asset integrity & reliability programs.

40%

methane reduction

from current operations can be achieved by 2030 through artificial intelligence.

$14.9

billion value

is the projected size of the AI in the oil and gas sector by 2035.

Why You Can't Afford to Ignore AI in Oil and Gas

In oil and gas, the cost of an hour of unplanned outages in 2023 reached US $200,000, making even short disturbances extremely expensive. AI-enabled forecasting significantly lowers these interruptions; for example, one of our clients saw a 67% decrease in unexpected stops.

What this improves:

The sector still depends on monitoring tools that miss early warnings. Intelligent algorithms analyze equipment behavior and environmental shifts continuously, helping prevent incidents before they escalate.

What this strengthens:

Maintenance budgets often expand due to reactive repairs and inefficient planning. These expenses represent 15–70% of total production costs. AI-driven asset insights can allow companies to cut expenditures by 45% and avoid unnecessary work.

What this reduces:

Unified custom-built AI platforms enable teams to work with a clear, consolidated view on available information. For example, one company generated $200–300 million in additional value within 18 months thanks to advanced predictive analytics.

What this enables:

In the energy industry, especially in the upstream sector, the greatest value of AI solutions isn’t mere automation, but enhanced predictability. Companies operate in a high-risk environment, and any technological implementation must be as transparent and verifiable as possible. The right approach is to build systems that don’t replace experts, but augment their capabilities, making data more accessible and decisions better informed.

Oleksandra Treiger

Project Manager

How Custom AI Transforms Oil & Gas Operations Across 8 Use Cases

Data Quality & Reconciliation for Operational Trust

When your data lives in multiple systems, you can’t trust what you’re seeing. Decisions get delayed. Errors pile up. Poor data quality costs oil and gas companies 15–25% of their revenues through missed opportunities and costly corrections. Our custom-built analytics tools consolidate information into one accurate source. You’ll make faster decisions, catch issues before they become problems, and keep compliance reporting simple and reliable.

Generative AI for Smarter Energy Operations

Your engineers spend hours digging through technical documents, compliance docs, and drilling logs instead of solving problems. LLM-powered copilots cut through this busy work. Our experience shows that teams save 8–20 hours monthly per employee on tasks like writing reports, searching files, and summarizing meetings. Custom-built Generative AI solutions analyze unstructured data and help identify inefficiencies faster. Your experts stop wasting time and focus on duties that actually move production forward.

Autonomous AI Agents for Real-Time Energy Control

Your business generates massive amounts of data, but strategy still relies on manual monitoring and reactive fixes? Agentic systems autonomously adjust drilling parameters, optimize consumption, and execute maintenance schedules. In fact, 29% of upstream organizations are piloting agentic AI for tasks like dynamically adjusting mud weight. The technology monitors conditions 24/7, makes adjustments instantly, and sustains steady production while your team handles strategic priorities.

Predictive Maintenance for Critical Assets

Equipment failures don’t announce themselves. By the time warning signs are obvious, you’re already facing expensive losses. Proactive servicing uses sensor data to catch problems weeks before they become malfunctions. Such an approach was reported to facilitate 27% improvement in production uptime. Instead of scrambling to fix broken pumps or compressors, you plan repairs based on real needs. Your assets last longer, emergencies drop, and maintenance budgets stop bleeding money.

Real-Time Asset & Equipment Monitoring

You can’t manage what you can’t see. When machinery is spread across remote sites, visibility disappears. IoT and AI give you constant oversight of pumps, compressors, and pipelines, tracking temperature, pressure, vibration, and location. Companies using these technologies saw a 29% decrease in operational incidents. You spot anomalies immediately, prevent theft, and know exactly when and where intervention is needed before small issues explode.

Intelligent Logistics and Resource Allocation

Parts arrive late or sit unused. Routes waste fuel. Inventory piles up in the wrong locations while critical sites run dry. Sounds familiar? AI-driven optimization changes this completely. Efficient logistics are reducing operational costs as much as 18% and improving other key metrics. Smart systems predict demand accurately, optimize delivery routes in real-time, and ensure spare parts reach the right place at the right time. You stop overstocking, eliminate delays, and cut waste.

AI-Powered Environmental and Safety Surveillance

How many leaks are you missing right now? Manual inspections happen quarterly at best, and by the time you spot a problem, the damage is done. AI monitoring changes everything. Sensors track emissions continuously, flag hazardous conditions instantly, and keep compliance documentation current. The result? It’s a 22% improvement in energy efficiency. Real-time alerts prevent incidents from escalating, and your operations stay clean, safe, and audit-ready.

Smart Market Forecasting & Business Intelligence

Enhancing platform availability by just 1% can generate an annual uplift of roughly $300 million. That’s the power of accurate forecasting. AI models analyze market data, events, and trends to predict price movements and demand patterns. You stop guessing at production schedules based on last quarter’s numbers. Instead, you coordinate timing, hedge against downturns, and adjust inventory before the market moves.

Success Stories: How Oil and Gas Leaders Are Winning with our Custom AI

Latest case studies

Agentic AI for Energy

Precise geofence matching
Substantially reduced reconciliation time
Scalable and secure agentic solution

We developed a standalone web application with an AI Agent that visualizes data discrepancies for the US energy leader

Learn More

Predictive Maintenance

67% Downtime reduction
45% Drop in maintenance cost
23% Increase in OEE

Master of Code Global developed an intelligent AI-powered predictive maintenance platform that monitors equipment health in real-time.

Learn More

AI Architecture Audit

8 Security problems found
45% Potential cost reduction
3x Projected capacity growth

We audited the asset management firm's existing AI assistant, delivering a strategic roadmap to ensure its full security and scalability

Learn More

AI Energy Data Tool

Empowered non-technical employees
Accelerated decision-making
Enhanced operational efficiency

Master of Code Global developed an AI-driven Conversational Data Analysis Tool to revolutionize insights accessibility.

Learn More

Why Leading Energy Companies Choose Us

Battle-Tested AI Expertise

We’ve delivered 50+ fully custom applications for the oil and gas industry. Our solutions achieved a 67% reduction in unplanned downtime and 92% accuracy in predicting equipment failures 30 days ahead. Platform-agnostic approach with Google Cloud, AWS, and Salesforce certifications ensures an optimal fit for your infrastructure.

Proven Framework for Faster Deployment

Our proprietary LOFT (LLM-Orchestrator open source framework) accelerates enterprise AI for oil industry delivery with 43% less setup effort and 3x faster project support. You get sophisticated solutions deployed quickly, with up to 20% budget savings as you scale operations across multiple sites.

Zero-Risk Validation Process

Our fixed-price Proof of Concept reduces development waste by 50-70% before full commitment. We validate technical feasibility and business impact together, ensuring your investment delivers measurable results from day one without costly surprises.

Guaranteed Team Stability and Security

You work with the same dedicated experts from kickoff to completion: zero staff turnover on active projects. ISO 27001 certified security protects your sensitive operational data. Full lifecycle ownership means we handle design, deployment, analytics, and ongoing support.

Our Artificial Intelligence Development Process

We start by understanding your specific challenges and defining clear, measurable success metrics. This guarantees every intelligent solution we build directly addresses your business goals and delivers higher returns.

Our team gathers evidence from your wells, sensors, legacy systems, and functional databases, then cleans and standardizes it for optimal algorithm performance.

Our experts develop and train custom software tailored to your unique equipment, processes, and operational environment. Our approach prioritizes explainability so you understand exactly how predictions are made.

Rigorous testing against real-world scenarios ensures models deliver accurate, reliable output before deployment.

We integrate AI seamlessly into your existing infrastructure (SCADA systems, ERPs, and control platforms) without disrupting ongoing operations. Phased rollout minimizes risk while maximizing early wins.

Continuous performance tracking and model refinement keep your solutions optimized as conditions change. We provide ongoing analytics, support, and updates to ensure long-term value.

Reviews of Our AI Solutions for Oil and Gas

Web Development Project for Entertainment Brand

The Project

Web Development
$50,000 to $199,999
Jan. - Apr. 2020

project summary

A media and entertainment brand hired Master of Code Global to redesign one of their websites, add additional functionality, and match the brand guidelines.

5.0

Quality

5.0

Schedule

5.0

Cost

4.5

Willing to Refer

5.0

The Review "The Master of Code team were always open to the conversation and helpful every step of the way." Feedback summary

"The Master of Code team were always open to the conversation and helpful every step of the way."Upon launching the project, the company's internal team received positive feedback from stakeholders regarding the additional features that are now included. The company appreciated the Master of Code team's consistency in delivering good results every time they work together.

The reviewer Digital Product Owner, Media & Entertainment brand

Anonymous

Sports
San Francisco, California
201-500 Employees
Online Review
Verified

READ FULL REVIEW

Multiple Development Projects for Management Consulting Firm

The Project

Custom Software Development
$10,000 to $49,999
Sep. 2017 - July 2018

project summary

Master of Code was hired by a management consulting firm to complete to development projects. The first was an automated prioritization system, and the second was an accountability scorecard.

5.0

Quality

5.0

Schedule

4.5

Cost

5.0

Willing to Refer

5.0

The Review "I haven’t come across developers better than Master of Code." Feedback summary

"I haven’t come across developers better than Master of Code."Both projects were executed flawlessly by Master of Code’s team. The developers wrote clean code and created solutions that greatly increase efficiency and business capabilities. Along the way, the team was highly communicative and displayed an excellent project management style.

The reviewer CEO, Conversint LLC

Dan Prosser

Consulting
Minneapolis, Minnesota
1-10 Employees
Phone Interview
Verified

READ FULL REVIEW

iOS App and Web Platform Dev for Hospital SaaS

The Project

Custom Software Development
$200,000 to $999,999
Jan. 2016 - Ongoing

project summary

Master of Code Global designed, developed and launched two iOS applications and a software platform that is cloud native to AWS. They also developed a robust open API and consulted on UI.

5.0

Quality

5.0

Schedule

5.0

Cost

5.0

Willing to Refer

5.0

The Review "They should keep up the good work." Feedback summary

"They should keep up the good work."Their deliverables have received praise from end customers with a focus on their support for strategic decision-making. Master of Code Global is focused on continuous improvement. They can draw on their technical expertise and commitment to understanding project specifics to provide h

The reviewer CEO, Facility Health Inc.

Christian Fernando

Information technology
Grand Rapids, Michigan
1-10 Employees
Online Review
Verified

READ FULL REVIEW

Our Technology Stack

How to De-Risk Your Operations with Custom AI

Analyze sensor data to predict equipment failure and trigger instant alerts.
Enforce SOPs by flagging deviations in worker behavior and equipment status.
Provide emergency response teams with instant, contextual data to minimize risk during incidents.

Use specialized models to automatically monitor and pinpoint the source of emissions.
Consolidate required information into a single, verifiable source for simplified ESG reporting and compliance audits.
Review consumption patterns to identify waste for higher energy efficiency.

Cross-reference operational data against updated regulations to prevent non-compliance gaps.
Keep a reliable, secure record of critical evidence to guarantee data integrity for submissions.
Proactively identify potential issues before they result in costly violations or fines.

Certified Delivery Partner

Silver Data Analytics

Microsoft Partner

Silver Data Analytics

Consulting Partner

Partner Network

Microsoft Conversational AI

Partner Advisory Council

Official Partner

Conversation Design Festival

Get More Insights on Custom AI in Oil and Gas from Our Blog

Generative AI in the Energy and Utilities: Next-Gen Solutions for a Greener Future

Bogdan SergiienkoCTO

Inside AI Delivery: How We Build What Actually Works – with Ivan Pohrebniyak from Master of Code Global

Olga HromDirector Pre-Sales Strategy & Delivery

Strategic Agentic AI PoC Playbook: What Works, What Fails, And Our CTO’s Advice

Tetiana TsymbalCopywriter

Generative AI in the Energy and Utilities: Next-Gen Solutions for a Greener Future Bogdan SergiienkoCTO

Inside AI Delivery: How We Build What Actually Works – with Ivan Pohrebniyak from Master of Code Global Olga HromDirector Pre-Sales Strategy & Delivery

Strategic Agentic AI PoC Playbook: What Works, What Fails, And Our CTO’s Advice Tetiana TsymbalCopywriter

FAQ

How can AI improve efficiency and reduce costs in oil and gas operations?

It drives productivity by enabling predictive maintenance, which can cut unplanned outages by up to 67%. It also optimizes drilling and process parameters instantly, resulting in significantly lower upkeep expenses and higher, more consistent output.

What are the most effective AI applications in the oil and gas industry?

The most valuable use cases are forecasting asset failures, continuous equipment monitoring, and unifying disparate data sources. These ones directly mitigate major risks, enhancing operational control and generating significant business value.

Can AI solutions integrate with existing systems like SCADA, ERP, or IoT?

Yes, all custom apps are designed to be fully compatible with your available ecosystem, including SCADA, ERP, and various IoT networks. They enhance your current technological foundation to deliver intelligence without requiring complex infrastructure changes.

What data do you need to begin, and how do you handle data security and privacy?

AI development requires large volumes of historical and current information from sensors, functional systems, and databases for robust model training. Safety of this data is paramount, typically managed through best practices like data encryption, access controls, and strict compliance with relevant governance standards.

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