Unified data backbone
4M+ wells, permits, production, logs, frac chemistry, geospatial and satellite layers harmonized into an analytics-ready lake with frequent refreshes covering nearly all of U.S. onshore + offshore output.
Solution • SaaS platform
ODIS: Oilfield Data Intelligence & Simulation
ODIS is a live, AI-native decision workspace that maps and filters basin-scale wells, permits, and production in seconds — turning fragmented oilfield data into lease-ready acreage intelligence.
ODIS in action — live demoAI-native decision engine
- Unifies messy public and private datasets into an analytics-ready backbone.
- Layers interactive maps, rich visuals, and economics on top of 4M+ wells and permits.
- Built-in AI copilots and models help experts forecast, value, and optimize in minutes.
Capabilities
From raw data lake to live decision surface
ODIS is built as a single AI-native stack: data backbone, analytics workspace, and model/agent layer—so you don’t have to bolt tools together.
Data
Rich analytics & collaboration
Interactive maps and dashboards, multi-panel projects, real-time whiteboards, in-app chat, file sharing and granular RBAC keep land team, engineering and finance on the same page.
AI models & agents
Production forecaster, spacing/parent-child analysis, frac advisers and economics screeners plus an EnergyGPT-style copilot with NL-to-SQL and retrieval over ODIS + public filings.
Valuation & economics suite
Built-in decline and economics widgets, NPV/IRR roll-ups and heat maps to rank parcels and prioritize capital—without spreadsheet gymnastics.
Subsurface & digital twin
Physics-informed ML flags pay zones and builds property cubes, while graph-based production surrogates power instant what-if scenarios. Powered by our Subsurface Simulator engine.
Connectors & workbenches
Stream data into Power BI, Tableau and Snowflake, launch GPU notebooks and a data-table IDE, and expose custom ML workflows via secure APIs.
AI-native core
Domain copilots, not generic chatbots
ODIS bakes AI into the workflows that engineers, land teams and analysts actually use—forecasts, economics, subsurface scenarios and reporting—rather than bolting on a chatbot.
EnergyGPT-style chat
Ask natural-language questions over wells, permits, production and filings; get answers with links into dashboards, maps and underlying tables.
NL-to-SQL & AutoML
Turn questions into SQL, train models in GPU notebooks and push the results back into dashboards without leaving the browser.
Digital-twin sandbox
Use physics-informed surrogates to try scenarios—spacing, frac recipes, price decks—and see uplift and risk metrics update in real time.
Live workspace
See ODIS in motion, one feature at a time
EnergyGPT · In-context answers
AI copilot, right inside your map
Ask questions directly from the AI panel and get answers anchored to the wells, permits and layers you’re already looking at—no context switching or copy-pasting.
Use cases
Built for every team touching the barrel
ODIS toolbox & roadmap
Start with the core, grow into the full stack
Modules package ODIS for different teams, from a single operator group to a cross-functional enterprise rollout.
Explore
GA: Dec 2025
Map every well, permit, and production record in seconds.
- Use live filters to surface insights instantly.
- Spot under-exploited acreage in a few clicks.
- Spin up unlimited, multi-dashboard projects.
Workspace
Q1 2026
User, seat, and analytics workspace for your teams.
- Manage users, groups, and seat assignments in one place.
- Run built-in decline-curve analysis on production trends.
- Drop quick NPV widgets into dashboards for on-the-fly screening.
Collaborate
Q1 2026
Real-time collaboration around projects and dashboards.
- Whiteboard wells, pads, and development options together.
- Keep threaded chats and @mentions attached to assets.
- Share projects and collaterals with granular RBAC.
Connect
Q1 2026
Push ODIS data into the rest of your analytics stack.
- Stream via REST, OData, JDBC, or GraphQL.
- Feed Power BI, Tableau, Snowflake and more from ODIS.
- Manage custom uploads, API keys, and quotas inside the app.
Analyze
Q2 2026
GPU-accelerated notebooks next to harmonized oilfield data.
- Launch Jupyter-style notebooks directly inside ODIS.
- Use database macros and the Python SDK against live tables.
- Turn ML prototypes into repeatable KPI stories for leadership.
Forge
Q2 2026
A low-code AI factory for subsurface and operations.
- Spin up GPU notebooks, AutoML, and EnergyGPT-style agents.
- Use RAG-enabled agents to surface subsurface insights and automate reports.
- Drag-and-drop custom AI workflows and expose them via secure APIs.
Valuate
Q3 2026
Live economics wired to production and price decks.
- Run economic evaluations with interactive sensitivity sliders.
- Update forecasts live as market-price scenarios change.
- Make buy/hold/sell decisions that are board-ready out of the box.
ReservoirAI
Q4 2026
Production-grade AI for frac design and reservoir uplift.
- Deploy heavy-compute deep neural networks on frac-stage and reservoir data.
- Predict uplift and tune designs before committing capital.
- Optimize development while minimizing cost and operational risk.
Pricing · ODIS Explore
Simple per-seat pricing to start
ODIS Explore
Live now
$600/ user / month
billed monthly per seat
Map-first analytics for wells, permits and production, with projects, filters and dashboards for your team, with the same AI-native core as the full platform.
- 30-day free trial — full ODIS Explore workspace with unlimited projects and dashboards.
- 50% annual discount — commit for a year and pay $300 / user / month (billed annually).
- .edu pricing — verified
.edudomains receive an additional 50% off their Explore subscription.
Discounts apply to ODIS Explore seats only. Volume and enterprise pricing are available on request.
Insights
Research & case studies
Deep dives into the data, methods, and results behind this product.
BlogSeptember 13, 2025·7 min read
Towards EnergyGPT: Building an LLM That Speaks Energy
Why We Fine-Tuned LLaMA 3.1 on Two Decades of Energy Literature
General-purpose LLMs fall short in the energy sector — hallucinated references, confused units, vague thermodynamics. We built EnergyGPT by fine-tuning LLaMA 3.1-8B on 2.17 billion tokens of curated energy text, and the results show meaningful gains in technical depth, coherence, and domain relevance.
Read more
Case StudyJune 15, 2025·10 min read
Rebuilding Texas in Tables
How We Integrated 1.1M+ Wells from the Texas Railroad Commission
A deep dive into how TerraNavitas built automated ETL pipelines to ingest, harmonize, and serve 1.1M+ wellbores across 14 RRC dataset categories — from raw EBCDIC files to a cloud-native, queryable database powering interactive dashboards.
Read more
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Ready to see ODIS on your acreage?
Bring a county, basin or prospect of interest and we’ll walk through how ODIS unifies data, analytics and AI to sharpen your next capital decision.