Powering the Future of Energy with Specialized AI and Domain-Specific Data
Operational Intelligence
Streamline exploration, transport, and refining.
Multimodal Data Expertise
Unify seismic, IoT, and environmental data.
Predictive Analytics
Forecast failures and optimize maintenance.
Global Energy Solutions
Adaptable to diverse regions and regulations.
The oil & gas industry runs on vast, complex, and highly technical data — from seismic exploration to refinery process logs. Yet most of this data remains siloed, underutilized, or trapped in legacy formats.
Oil & Gas AI Data Foundry is the missing layer that transforms messy, locked data into the structured, enriched foundation for:
Predictive maintenance
Digital twins
Emissions tracking
Exploration optimization
Tailored LLMs, SLMs for the sector
Without AI Data Foundry, AI projects in oil & gas risk being inaccurate, insecure, or stuck in pilot mode. With it, they can actually scale into production.
Upstream Exploration & Drilling
Structured seismic data, drilling logs, and predictive maintenance datasets.
Midstream & Transport
Pipeline monitoring, logistics optimization, and integrity management.
Downstream & Refining
Refinery operations data, emissions tracking, and ESG compliance pipelines.
Environmental & Regulatory
High-fidelity reporting data for sustainability, audits, and government standards.
We are open to collaborations in developing SLMs tailored for upstream, midstream, and downstream operations.
Why SLMs?
Domain accuracy → fine-tuned on oil & gas terminology
Secure & compliant → deployable on-prem for sensitive environments
Lightweight & efficient → reduced compute cost and faster adoption
Trustworthy outputs → lower hallucination risk compared to general LLMs
Maximize Your Impact with Precision
Transform raw exploration data into AI-ready datasets for faster, more accurate drilling decisions.
Leverage predictive models to reduce downtime, anticipate failures, and optimize drilling performance.
Enable anomaly detection and real-time risk assessment across transport networks.
Analyze process logs and sensor data to improve efficiency, yield, and safety.
Integrate IoT sensor data to forecast equipment failures before they happen.
Feed enriched operational data into real-time digital twin simulations for rigs, wells, and refineries.
Automate emissions tracking, HSE audits, and sustainability reporting with structured data pipelines.
Convert decades of technical reports, manuals, and legacy documents into searchable, AI-ready knowledge bases.