How a Frontier AI Lab Accelerated Its Robotics Program

A physical AI frontier lab is developing a general-purpose robot for industrial, energy, medical, and consumer settings, each governed by different regulatory frameworks and unfinished functional safety standards. With Ketryx, the frontier lab holds a single safety case for its program and maintains continuous compliance to accelerate deployment in any domain.

Impact

Industry
Physical AI
Device Type
Autonomous Robots
Tech Stack
Google Drive, Ketryx eQMS, Jira, TestRail

Challenge: One Platform Under Multiple Regulatory Regimes

Commercializing a general-purpose robot depends on deployment across several markets, each with its own regulations, safety cases, documentation, and compliance demands. The team needed a way to maintain compliance at scale without standing up expensive new quality and regulatory programs for each regime.

• Compliance cost held back commercial decisions. Supporting four regulatory regimes in parallel was estimated at four quality teams and four regulatory teams, forcing the organization to commit to a single market.
• Documents constrained the safety case. Safety requirements and risk reduction measures were authored and maintained in long-form design documents by a small team. Presenting the same evidence under a second regime meant inefficient re-authoring processes that could not scale.
• The standards are a moving target. The program will run under an AI safety standard still being drafted. A safety case built around one standard at a time requires full restructuring work as the team enters each new market.
• Three systems of record tripled the work. Functional safety, product reliability, and systems engineering were each moving toward a separate system of record, and needed traceability across the same requirements, tests, risks, and hardware and software specifications.

Solution: One Safety Program Across Regimes and Disciplines

Ketryx lets this frontier AI lab run a single safety program that can be presented under any regime the platform enters, extended as standards change, and shared by the engineering disciplines that depend on it.

• Safety evidence held once, rendered per regime. Requirements, risk reduction measures, and verification evidence are managed as structured items rather than as documents. The documentation a given regulator expects is generated from those items. A new regime is a new rendering of the existing safety case rather than a second safety case.
• Standards extend the program instead of restarting it. Adopting an additional standard is a new document template and a new milestone drawing on evidence that already exists. The team has already extended the program to an additional class of compliance in this way.
• One evidence base across disciplines. Functional safety, product reliability, and systems engineering share the same requirements, the same traceability, and the same risk register. Safety integrity levels are carried as attributes on the items themselves, so criticality is explicit through decomposition rather than implied by document position.
• Generated documentation. The team's existing requirements specification is produced from the live safety case and regenerates when requirements change, retaining the document's original structure and boilerplate.
• Controlled documents in existing tools. Ketryx's Google Drive integration acts as the electronic document management system at organization and project level. Documents are configuration items with redlining and approval workflows, and engineers continue to author in the environment they already use.
• Functional safety standards of record. The program operates under multiple standards, including IEC 61508 and ISO 12100, with hazard and risk analysis outputs, risk reduction measures, and safety integrity levels managed in Ketryx.

Business Outcomes: What a Single Safety Case Enables

• Deployment decisions are made on commercial grounds. The platform's first market is selected on demand and margin rather than on which safety case was built.
• Compliance capacity is decoupled from regime count. One program serves every regime the platform may enter, against an alternative estimate of four quality teams and four regulatory teams.
• The product remains general purpose. Compliance scales across new markets, regions, and standards, extending the robot's safety case rather than forking the program.
• The team is future-proofed against AI and robotics standards. When the targeted safety standards are finalized, they are added as a rendering of the existing safety case.
• Consistent risk picture across disciplines. Safety, reliability, and systems engineering read from one evidence base, so requirements, traceability, and risk status are identical regardless of which team is reviewing them.