Private LLM training and implementation
Drivers Seat designs and implements customer-controlled language models grounded in company knowledge, operating context, workflows, and approval rules. Deployment choices are scoped to the operation and supported infrastructure.
This is one of three offers: Private LLM Training and Implementation, Role-Specific AI Systems, and Combined Operational AI. Start with one high-value workflow, prove the result, then expand.
Derrick Brain is Drivers Seat's drilling-specific intelligence layer and first industry implementation. ROP supplies the operating environment and drilling expertise used to develop, test, and validate it.
Related scope and evidence
Derrick Brain implementation record — scope, responsibilities and limitations
Capabilities
- Knowledge and context design: Structure approved company knowledge, private data, operating context, and source material around a defined use case.
- Scoped deployment choices: Consider on-premises, private-cloud, or hybrid arrangements where supported and appropriate to the customer's requirements.
- Grounded outputs: Design focused workflows around source-backed outputs, versioned knowledge, and explicit approval rules.
- Implementation support: Drivers Seat designs, builds, integrates, and supports the private AI environment through scoped validation and expansion.
Privacy and safety
Drivers Seat scopes controls with each customer. Depending on requirements and supported infrastructure, an implementation may use on-premises, private-cloud, or hybrid options.
Scoping covers data boundaries and retention, encryption where implemented, role access and least privilege, source receipts, auditability, versioned knowledge, human approval, backup and recovery, connectivity, and third-party dependencies. Controls that are not verified or implemented are requirements to scope, not guarantees.
Frequently asked questions
What are the three ways to work with Drivers Seat?
Drivers Seat offers Private LLM Training and Implementation, Role-Specific AI Systems, and Combined Operational AI. The right scope depends on your data, workflow, and approval rules.
How are privacy and security controls decided?
Controls are scoped with the customer. Depending on requirements and supported infrastructure, the implementation may consider on-premises, private-cloud, or hybrid options, along with boundaries, retention, access, auditability, recovery, connectivity, and third-party dependencies. Unverified controls are not guarantees.
How does Drivers Seat approach high-consequence work?
Implementations use focused workflows, source-backed outputs, and human approval. The specific approval, escalation, and operating rules are defined during scope.
How does Drivers Seat measure whether an AI implementation works?
Drivers Seat defines task-level acceptance criteria before a pilot, then tests source use, factual accuracy, required approvals, exception handling, and agreed workflow measures. Outcomes are reported only from preserved evidence; a pilot is not presented as production proof.
How do we start?
Start with one high-value workflow, prove the result, then expand. Use the request-information form on the homepage, email Remoteops@ropinc.ca, or call +1-825-425-2767.