Start with the work.
Visual inspection, maintenance forecasting, process optimisation and robotic handling are different product problems. Each needs a defined user, operating environment and decision to improve. These are examples of possible applications, not reports of Hyperion client deployments.
Compare the proposed system with the current process. Establish the cost of errors, the conditions it must handle and who can accept its output. A convincing demonstration is a starting point for investigation; deployment requires evidence for the intended use.
Read the whole system.
Hyperion uses a structural reference view: device and control; embedded platform; perception and robotics; intelligence and knowledge; orchestration and operations; and safety and cybersecurity responsibilities. Safety and cybersecurity have distinct requirements that apply across the system.
SENSE, CONNECT, COMPUTE, REASON, ACT and ORCHESTRATE offer a complementary view of what the system does. Orchestration coordinates permissions, human review, updates and recovery. It does not replace deterministic control, safety engineering or independent assurance.
Choose the machine around the task.
A fixed camera, a purpose-built robot and a humanoid should be judged against the job and its constraints. Compare task variability, reach, payload, cycle time, availability, integration effort and maintenance cost. Include existing automation and a non-AI baseline where they can meet the need.
No form factor is a universal winner. Separate an AI recommendation from authority to actuate a machine, and define how the system should respond when its assumptions no longer hold.
Make sovereignty a deployment decision.
Where do inference, data, telemetry and recovery run? Who can access or change them? What leaves the site through logging, support or updates? A provider’s nationality or an open-weight label does not answer these questions.
Mistral and other providers are candidates for a specific task. Assess the exact release, licence, runtime, hosting terms and security configuration. Evaluate adaptation against authorised data and a baseline before fine-tuning. Agree operating boundaries, acceptance checks and recovery responsibilities with the customer.
Connect the pilot to an owned product decision.
A working model still leaves product requirements, procurement, cybersecurity, safety, integration and field operations to resolve. Hyperion’s role is to connect business and research decisions with software, hardware and operational constraints, within an agreed scope.
Product Decision Review provides an independent review of one product decision. Product Leadership Mission provides scoped leadership for an agreed milestone. Executive Product Leadership provides executive product leadership with an explicit mandate. These are independent choices, not mandatory stages.
The customer retains release and operating authority. Implementation, integration, support and any independent assurance need explicit owners; a consulting deliverable alone does not establish production readiness.
Ask for evidence before the next deployment.
Ask what the current process achieves, which exact configuration was evaluated, where it fails, and what happens when data, connectivity or hardware conditions change. Request named owners for approval, monitoring, updates, incidents and rollback.
Turn the unanswered questions into scoped checks with acceptance criteria. Distinguish proposed checks from completed results, and decide whether the evidence supports an experiment, a bounded pilot or an operational release. That decision should follow the product’s actual conditions, not a forecast or a demonstration alone.