Manual reading of round-disc chart scans
Handwritten logs transcribed by operators
Barcodes scanned manually per equipment item
Multi-partner formats reconciled by hand
Days to complete one operator's data intake cycle
AI & Custom Software Engineering for Energy, Oil & Gas
Energy, Oil & Gas runs on data that arrives broken: scanned disc charts, handwritten field logs, legacy SCADA streams, undocumented ERP schemas. We build the software that makes it usable. 20+ years, upstream to downstream, production systems only.
20+
Years in heavy-industry software
30+
EOG project track record
70%
Reduction in manual correction
We know what runs beneath the surface
Since 2008, Azati has been the engineering team behind platforms that operators, production engineers, and data scientists actually use in the field. Our work spans upstream exploration and production, midstream processing and logistics, and downstream refinery and distribution operations.
We don't sell EOG-flavored IT services. We bring engineers who have spent years solving the specific problems of energy sector’s data: unstructured document volumes, multi-format sensor outputs, compliance reporting, and real-time operational dashboards. Our deepest EOG partnerships span multiple years of continuous delivery across document AI, operational analytics, and process automation for operators who cannot afford to stop.
Upstream & Exploration
- Geological data processing & visualization
- Drilling operations dashboards
- Field sensor data ingestion & normalization
- Seismic and core sample analysis tools
- Production forecasting models
- Hydrocarbon reservoir modelling platforms and upstream investment decision-support tools
Midstream & Downstream
- Pipeline monitoring & anomaly detection
- Refinery process optimization software
- Document digitization for operational records
- Supply chain & logistics platforms
- Distribution management systems
- HSE compliance reporting automation
What we build for Energy companies
Concrete engineering services drawn from real project delivery, not a capabilities menu assembled for the pitch.
Document AI & Intelligent Digitization
The EOG industry runs on paper, field notes, equipment logs, regulatory filings, scanned charts, and legacy records. We automate the extraction, classification, and structuring of that data at scale.
- OCR and computer vision for scanned disc charts and meter graphs
- Handwriting recognition for field notes and well logs
- Barcode and label recognition from oilfield equipment
- P&ID and DEXPI format processing, PEFS data extraction and conversion to structured formats (upstream O&G engineering documents)
- Multi-format document routing and classification pipelines
- Integration with existing ERP and document management systems
Operational Analytics & Data Engineering
Energy operators generate enormous volumes of operational data. We build data pipelines, warehouses, and analytical layers that turn that data into decisions, not more dashboards nobody reads.
- Real-time SCADA and sensor data ingestion pipelines
- Production reporting dashboards and KPI monitoring
- Predictive maintenance models for equipment failure
- Reservoir analytics and production forecasting
- BI platforms and executive decision-support tools
- Data warehousing and ETL for legacy system migration
AI & Machine Learning Engineering
We deploy AI where it genuinely reduces cost and operational risk, not for the sake of AI. Computer vision, NLP, predictive models, and anomaly detection built for field-grade reliability.
- Custom ML model development, training, and deployment
- Computer vision for meter reading and equipment inspection
- NLP for extracting structured data from technical documents
- Predictive analytics for production optimization
- Anomaly detection for pipeline and equipment monitoring
- LLM-powered search and knowledge retrieval for operational data
Legacy System Modernization
Most EOG companies run on software that was written before cloud existed. We modernize it without ripping out what works, phased migrations that keep operations running while the infrastructure evolves under the hood.
- Reverse-engineering and documentation of undocumented codebases
- Phased migration from legacy languages (COBOL, Fortran, C) to modern stacks
- AI-ready architecture redesign and microservices migration
- Cloud-native re-platforming on AWS, Azure, or private infrastructure
- Legacy ERP and SCADA integration with modern data layers
Custom Software & Platform Development
When off-the-shelf solutions cannot handle the specific complexity of your operation, we build from scratch. From internal tooling to customer-facing portals, we own the full delivery cycle.
- Operational portals and internal workflow automation tools
- Field data collection mobile applications
- Supply chain and logistics management platforms
- HSE reporting and compliance management systems
- Customer-facing web portals for petroleum product distribution
- Upstream project management platforms for reservoir development workflows: geological modelling, scenario selection, multi-stakeholder approval
DevOps, QA & Managed Engineering
We take ownership of production systems, not just the build. Our DevOps and QA practice is designed for high-stakes environments where downtime is measured in barrels, not SLA points.
- CI/CD pipelines and automated deployment for EOG platforms
- 24/7 monitoring and alerting for operational-critical systems
- Load and performance testing for high-throughput data platforms
- Security testing and compliance-driven QA workflows
- Ongoing maintenance, optimization, and reliability engineering
Ready to modernize your EOG operations?
Talk to an Azati engineer about your specific challenge. No boilerplate pitch, just a direct technical conversation.
Start the conversationHow Azati eliminates manual field data processing via AI document automation
Azati builds end-to-end AI pipelines that ingest scanned disc charts, multi-color meter graphs, handwritten field notes, and barcodes from oilfield equipment, structuring raw field data automatically at production scale.
Wins from AI field data automation:
98%
barcode & label accuracy
4×
faster data ingestion throughput
Field data intake: before vs. after Azati AI pipeline
AI unfolds & traces disc chart curves automatically
OCR + contextual correction for handwriting
98% automated barcode recognition
Multi-format classification pipeline handles all partners
4× faster full ingestion cycle, end-to-end
How Azati replaces fragile calculation pipelines with validated reservoir analytics
Azati built a scalable oilfield analytics platform for production forecasting, hydrodynamic modeling, and resource-intensive calculations, delivered under a 4-month deadline, with QA preventing a critical system failure before go-live.
Wins from production analytics engineering:
10 days
to rebuild the computational core
1000X
reduction in numerical precision loss
Reservoir analytics: before vs. after Azati engineering
Production forecasting done in disconnected spreadsheets
Hydrodynamic models not integrated with production data
Numerical instability in calculation core near-critical failure
No unified modular analytics across well, field, reservoir
Manual data preparation before every calculation run
Integrated platform: well performance, reservoir, production forecast
Hydrodynamic modeling embedded in unified analytics layer
QA-validated computational core, failure averted pre-launch
Modular architecture: independent services, shared stable core
Automated data pipelines feed calculations in real time
How Azati turns 30+ fragmented portals into a governed migration framework
Azati helped a major Oil & Gas enterprise consolidate 30+ legacy SharePoint portals into a standardized migration framework, reducing governance uncertainty and enabling large-scale modernization planning across hundreds of thousands of content entities.
Wins from SharePoint modernization:
30+
legacy portals analyzed & classified
100K+
content entities audited
Enterprise portal governance: before vs. after Azati
30+ portals, each with different structure and governance
No unified content inventory, hundreds of thousands of pages unaudited
Migration risk unknown: hidden customizations, broken links
No standardized migration framework or tooling
Modernization planning stalled by legacy complexity
All portals classified with standardized migration readiness scores
Full content audit: pages, links, entities, all accounted for
+15% undiscovered customizations surfaced and documented
Reusable migration framework deployable across the estate
Modernization roadmap unblocked, planning can proceed
Client testimonial
They're a group of mathematicians, physicists, and engineers. Their in-depth knowledge and technical ability to take a problem and solve it in this particular area were impressive. They really know their craft.
Why EOG companies choose Azati as their technical partner
The actual reasons real-life EOG clients have stayed with Azati across multi-year engagements are concrete:
-
Senior engineers, always
Average 8+ years previous production experience, no rotating junior teams. Direct EOG project experience: upstream, midstream, downstream. Computer vision and AI for industrial document processing since pre-GPT era.
-
Outcome ownership
We stay in production, not hand off and walk away. Phased modernization, no rip-and-replace for operational systems. When something breaks at 2am on a drilling shift, it is our system and our responsibility.
-
Built for messy real-world data
SCADA, multi-format sensor outputs, field notes variability, undocumented legacy schemas. Proven in environments where data format variability is extreme. We build for that reality, not clean demo conditions.
-
EU R&D + US offices
Poland-based R&D center, extended European presence in Netherlands, Lithuania, Switzerland, Spain. US office in New Jersey. Time-zone overlap for EU and North American operators. 380+ B2B projects, 95% returning client rate.
-
3-4+ year average O&G partnership
Long-term flagship engagements, not transactional staff aug. Direct technical access, no account manager layer over engineers. Dedicated teams or staff augmentation, adapts to your structure.
-
ISO accreditation in progress
ISO 27001, 27701, and 9001 accreditation process launched 2026. DevOps and DevSecOps practices across all delivery. Academic collaboration on ML/AI when scientific rigor matters.
-
AI-native delivery team
80% of Azati engineers use AI tools in daily development, including on EOG projects. This is not a future capability: it is how the team already works.
-
Upstream domain depth
We’ve built platforms that petroleum engineers and geologists actually use, reservoir modelling tools, investment decision-support systems, and upstream project management workflows. Not generic enterprise software with an EOG label.
The EOG engineering challenges most vendors walk away from
Energy, Oil & Gas Enterprise
Vertically integrated EOG operators & industrial contractors
Typical issue
Calculation-intensive enterprise platforms: cost estimation, tender preparation, pricing engines, with hundreds of interdependent coefficients where a single change cascades across procurement, material-resource statements, and compliance outputs.
Azati’s solution
- Full cross-module dependency mapping before any logic changes
- Regression QA suite covering all calculation domains per release
- Deep domain immersion: coefficient logic, MRS, tender preparation methodology
- Delivery inside multi-vendor environments with inherited undocumented business rules
- Stabilization of inherited functionality from previous vendors, including legacy document conversion tooling under strict enterprise security policies
Your outcome
Stable, validated estimation platform that procurement teams can trust, delivered on schedule, even in complex inherited environments.
Energy, Oil & Gas Operations
Upstream operators & field data-heavy environments
Typical issue
Production and operational data locked in formats that predate modern software, scanned disc charts, handwritten field logs, multi-vendor barcodes, legacy SCADA streams, with no reliable automated path from raw input to structured record.
Azati’s solution
- AI pipelines for round-disc chart processing, curve recognition, and OCR
- Multi-format classification and intelligent routing across partner equipment types
- Integration with existing ERP and operational data systems
- Production-grade deployment: Kubernetes, containerized, field-scale throughput
Your outcome
Raw field data becomes structured, queryable, and analytics-ready, without rebuilding your operational workflows.
Technology stack we use in EOG engagements
AI & Machine Learning
Backend & Data Engineering
Infrastructure & DevOps
Frontend & Visualization
Your stack isn't standard? Neither is our approach
We've worked with legacy SCADA systems, proprietary data formats, and undocumented codebases. Bring us the hard ones.
Get a technical assessmentEnergy, Oil & Gas case studies
Explore our successful projects and see how Azati delivers measurable results for our clients.
Energy, Oil & Gas
Cloud System for Document Digitization
⚡ Pain Points We Tackled
The client needed a fast, scalable solution for digitizing large volumes of complex engineering documents, pipeline layouts, industrial plans, and technical maps, originating from multiple vendors with distinct formatting, templates, and symbol conventions. Previous manual workflows were slow, error-prone, and could not scale. Documents contained overlapping layers, handwritten notes, stamps, and domain-specific abbreviations that made automated extraction particularly difficult.
Our Approach
Azati, in collaboration with Digatex, built a cloud-based AI document digitization system that automatically detects vendor templates, resolves visual complexity in technical drawings, and normalizes domain-specific notation into structured data. The system was designed for minimal human intervention, processing 5,000+ documents per hour at 98.8% accuracy, a 5× cost reduction compared to the previous manual process.
Applied Methods and Practices
- Comprehensive OCR framework evaluation and selection before development
- Template detection model trained on multi-vendor document samples
- Visual hierarchy resolution for overlapping layers, stamps, and annotations
- Context-aware parsing for abbreviations, symbols, and non-standard notation
Solution Features
- Automatic vendor template detection and document classification
- Structured data extraction from pipeline layouts, industrial plans, and technical maps
- Abbreviation and domain-specific symbol normalization engine
- High-throughput processing at 5,000+ documents/hour with 98.8% accuracy
Energy, Oil & Gas
Web Platform Optimization for Oil & Gas Corporation
⚡ Pain Points We Tackled
A major Oil & Gas corporation needed to optimize their fuel card management web platform to streamline transaction handling and personal account operations. The project lacked version control, had configuration discrepancies across dev, pre-production, and production servers, and suffered from quality management issues inherited from previous development teams, causing frequent production bugs and delayed releases.
Our Approach
Azati introduced version control and aligned server configurations across all environments, then rebuilt the QA process from scratch, achieving a 99.3% test-case pass rate and 2.5× faster regression cycles. The team delivered four new platform modules: an electronic queue system, transactional reporting, an automated PDF processing microservice, and an FAQ management system, all integrated with Siebel CRM via SOAP.
Applied Methods and Practices
- Version control and central repository setup for coordinated multi-developer delivery
- Server configuration alignment across dev, pre-production, and production environments
- Proactive QA monitoring with continuous issue detection and resolution
- Modular architecture combining monolith with dedicated microservice for PDF processing
Solution Features
- Electronic queue system for fuel card issuance with real-time CRM synchronization
- Transactional reporting module with filtering by date, fuel type, and driver
- PDF microservice with automated facsimile detection and stamp placement
- FAQ management system for contact center teams with end-user knowledge base
Energy, Oil & Gas
Enterprise Tender & Cost Estimation Platform
⚡ Pain Points We Tackled
A major vertically integrated O&G organization needed a centralized construction cost calculation platform. The pricing engine relied on interconnected catalogs, coefficients, and configuration rules, even simple constructions involved long dependency chains, creating procurement loss risk. Another vendor had already implemented part of the functionality, requiring deep immersion into undocumented system behavior mid-delivery.
Our Approach
Azati stabilized a high-risk, calculation-intensive platform in a multi-vendor environment, validating pricing catalogs, coefficient logic, material-resource processes, and tender workflows. A single transportation coefficient could cascade across multiple estimation domains, requiring full mastery of O&G cost estimation methodology. Released functionality ahead of schedule despite evolving scope.
Applied Methods and Practices
- Cross-module dependency mapping before modifying any logic
- Regression QA across all pricing modules per release
- Legacy reverse-engineering of undocumented business rules
- Multi-vendor coordination preserving cross-module compatibility
Solution Features
- Pricing catalog management with dependency-aware propagation
- Material-resource statement engine, automated MRS generation
- Tender preparation module for compliant documentation
- Cross-module validation with real-time consistency checks
What makes the difference in EOG engagements
Most software vendors can describe your problem back to you. Azati can solve it, because we've already seen it, or something close enough.
What does Azati do?
- Senior engineers with EOG expertise lead every project, no rotating junior teams.
- We own production and take responsibility when issues arise.
- We build for the reality of energy, oil & gas data: fragmented, legacy, and multi-source.
- Our teams on both sides of the Atlantic provide global coverage and time-zone flexibility.
- Most client engagements last 3+ years, because Azati is a partner, not a vendor.
Let's discuss your EOG engineering challenge. Whether you're automating document intake, modernizing legacy infrastructure, or building production analytics, we've done work like this before.
Speak to an EOG engineerFrequently asked questions
Azati delivers AI solutions for EOG that include computer vision-based meter and document processing, NLP and OCR pipelines for field record digitization, predictive analytics for production and equipment health, anomaly detection for operational monitoring, and LLM-powered knowledge retrieval tools for technical documentation. All solutions are engineered for production deployment, not demo environments.
Yes. Azati has delivered multi-year technical engagements with major upstream EOG operators, covering document AI, operational data engineering, and analytics platforms, including a confidential flagship engagement with a large vertically-integrated operator. We have also built AI-powered meter processing systems for a Canadian upstream operator (full public case study available) and contributed to heavy-industry document digitization through our partnership with Digatex. These are production systems, not pilot projects.
Yes. And we've done it. Azati built an AI service that processes scanned round-disc meter charts, multi-color curve graphs, barcodes, and handwritten field annotations at production scale. The system achieved 98% barcode accuracy, 4x faster data ingestion, and a 70% reduction in manual correction workload for a Canadian O&G client. The full case study is publicly available.
This is a core capability. EOG environments typically run on software built in the 1990s or earlier. Azati's approach is phased modernization, we reverse-engineer existing systems, design AI-ready architecture, and migrate incrementally, keeping production operations live throughout. We do not recommend big-bang replacements for operational-critical systems.
Azati has its primary R&D center in Poland (EU), with additional European presence in the Netherlands, Spain, and Lithuania. The US HQs are located in Livingston, NJ. We deliver to clients globally and have direct experience with both European, MENA, SEA, Australian and North American oil and gas operators. Time-zone overlap and regulatory context (GDPR, data sovereignty) for EU-based operators is built into our delivery model.
Azati offers dedicated development teams (full project ownership), staff augmentation (specific engineering roles integrated with your team), full project outsourcing, capped T&M, hybrid outcome-based engagement models. For EOG clients, we recommend starting with a scoped technical assessment to map your actual needs, not a fixed template, before committing to an engagement model. Dedicated teams are 2-4 weeks to the first sprint.
Bring your complexity. We'll bring the plan
Whether you're digitizing field records, scaling a production analytics platform, or moving an AI initiative from prototype to production, start the conversation with engineers who've shipped this kind of work for 18+ years in data-heavy industries.
Get your planLast updated