Physical AI & robotics

Accelerate Physical AI engineering.
Prepare for assessment as you go.

Move robot requirements, designs and tests forward with less manual preparation. KlugSpice brings software, interfaces and safety decisions into the work, while helping engineers find evidence gaps before project assessments and reviews.

01 · ENGINEERING AT AI SPEED

Turn machine behaviour into engineering work faster.

Use your product needs, interface details and operating limits to prepare work that engineers can review and refine.

  • Draft system and software requirements for machine behaviour.
  • Prepare architecture and interface descriptions using project constraints.
  • Draft test specifications and identify tests affected by a change.
  • Give coding agents the relevant requirements, safety limits and test expectations.
Explore AI for engineering
02 · ASSESSMENT PREPARATION

Build the evidence while the product takes shape.

Bring requirements, designs, tests and review records together for the processes and standards agreed for your product.

  • Review existing project work and supporting evidence.
  • Find missing links between requirements, designs and tests.
  • Flag evidence that needs review after a software or interface change.
  • Prepare readiness findings, reports and a clear list of improvements.
Explore AI for Assessment

Start with the work you have.

Assess an existing project, or prepare new engineering work and check readiness as you go.

Engineers approve the changes.
Approved work returns to existing tools.

Prepare around the standards your product needs

Explore standards →

Agree the applicable standards, assessment approach and evidence needs for your machine and its intended use.

Engineering benefits

More time for engineering.
Less work around the assessment.

Choose one workflow for a pilot. Compare the effort before and after, using the same task scope and quality expectations.

Less time preparing documents

Measure the hours needed to draft and update requirements, designs and tests that engineers approve.

A shorter path to reviewed work

Track how long a task takes from the first draft to approval, with the sources and checks available to reviewers.

Less effort gathering evidence

Compare the time spent finding missing records, checking links and preparing for an assessment.

See how to measure the benefit
Useful answers

Engineering and assessment in practice.

How can KlugSpice help engineer a Physical AI product?

KlugSpice uses machine behaviour, operating limits and hardware–software interfaces to draft system and software requirements, architecture and tests. Approved context can then guide coding agents, while engineering records remain linked for review.

Does every robot use the same assessment framework?

No. The product, intended use and project obligations determine the standards and review approach. The project defines applicable safety, cybersecurity and engineering requirements before KlugSpice uses them to prepare work and organise evidence.

Start with your work

See KlugSpice in action.

Tell us which task takes too much time. See how KlugSpice can help engineers prepare the work and review the result.

Request a trial licenseOne project. One workflow. Clear success criteria.