Solutions
Paradime for Oil & Gas
Model production, maintenance, and commercial data from the field and the back office in dbt™, refreshed on schedule. DinoAI agents migrate the legacy jobs and fix the overnight failures. Run the whole platform in our SaaS or in your own cloud.
#data-alerts
ParadimeHistorian load failed at 02:10. The production call is at 6:00.
- Found a renamed tag in the historian export
- Opened a fix, checked by TurboCI
- Reran from the failed model
Use Cases
What energy data teams run on Paradime
From the historian load to the morning production call.
Ingest
Historian, SCADA, and ERP data in one warehouse
Schedule loads from the historian, SCADA exports, SAP, and field systems. DinoAI generates the sources and staging models from the landed schema.
Model
Production and downtime metrics defined once
Define daily production, uptime, and cost per barrel in tested dbt™ models. Operations, finance, and HSE report the same numbers.
Modernize
Migrate from legacy tech
Run DinoAI agents that convert Snowflake Tasks and stored procedures into dbt™ models and Bolt schedules. Each move is one pull request, validated with a data diff.
Self-heal
Self-healing pipelines
Set up DinoAI agents that react to failed pipelines, find the root cause, and open a pull request with the fix. Set freshness checks that alert you when a site or historian feed goes quiet.
Deploy
Bring your own cloud (BYOC)
Deploy Paradime inside your own cloud on AWS, GCP, or Azure. Keep all network traffic inside your own network perimeter. Agents run there too, with a scoped service account.
Govern
Role-based Access Control (RBAC)
Custom roles, single sign-on with Microsoft Entra ID or Okta, and audit logs on every change, run, and agent session.
Customers
Why energy data teams choose Paradime
Teams that run hundreds of models every hour with full uptime keep them on Paradime.
“From the first call on, it was clear that if we chose Paradime we would get above and beyond help on the human side to succeed.”
Prompts
Ask DinoAI the operations questions
DinoAI reads your code base, warehouse schema, run logs, and lineage before it acts. Run these in the Code IDE, from Slack, on a Bolt schedule, or from Claude or Cursor through the MCP server.
Build a daily production model by well
In Agent mode, DinoAI builds oil, gas, and water volumes per well per day, with downtime hours and a completeness test.
Try it in ParadimeBuild a daily_production model from stg_historian_tags and stg_well_master with oil, gas, and water volumes per well per day, downtime hours, and a test that every active well appears once per day.
Roles
Built for every role in an energy data team
What each role gets out of Paradime and DinoAI.
Compute, data, and agents inside your own cloud account
Every change reviewed, tested, and logged, agents included
Warehouse spend tracked by business unit
Reliability reported from run history and SLA tracking
Trust
Built with zero-trust security
Security, deployment, and access controls that meet enterprise security requirements.
Certified and controlled
SOC 2 Type II and GDPR. Single sign-on with Okta, Microsoft Entra ID, Google, and JumpCloud. IP allowlisting for the app, API, and CLI.
Your cloud, your keys
Deploy the data plane in your own AWS, GCP, or Azure account. Connect over PrivateLink and reference secrets from AWS Secrets Manager, Azure Key Vault, or GCP Secret Manager.
A record of every change
Audit logs cover every run, configuration change, and DinoAI action, and export through the API. Agent sessions keep a full transcript. Lineage for any reported figure exports to CSV.
Review before production
Nothing reaches production without a reviewed pull request and a passing CI run. Agents cannot merge. Custom roles separate who can develop, who can merge, and who can run. DinoAI's warehouse access is a setting you control.
Join industry leaders winning with DinoAI agents
Data engineers and analysts at the most AI-native startups and enterprises use Paradime's DinoAI agents everyday to become market leaders.