In these sectors, a software failure isn't just a bug to fix: it's a product recall, a line stoppage, a non-conformity, sometimes a safety risk. The method is built for stakes like these.
Trajectory, collaborative safety, recovery after a fault: these are edge cases, rarely tested, that make the difference between a safe system and an incident. Software Quality Intelligence™ brings them to light before go-live.
The assessment approach stays the same. What changes is the nature of the risk and the regulatory framework the code must meet.
Robotic arms, cobots, AMR/AGV. Control safety and robustness of critical modules.
Embedded controllers, functional safety, code quality before going to release.
Connected devices, verified safety requirements, fewer non-conformities in audits.
Critical software, high safety requirements, mastering complexity over time.
Command-and-control systems, functional safety and SIL levels by scope.
Critical supervision and automation, reliability of continuity-critical systems.
Autonomous vehicles, engine management, firmware stability proven in the field.
Command and control, analysis of silent failures before on-site deployment.
Your field isn't listed? The method is the same: as soon as software carries a risk, it applies — whatever your regulatory framework.
In industry, software risk isn't told in test coverage or cyclomatic complexity. It's told in product recalls avoided, in line-stoppage hours saved, in non-conformity caught before the notified body.
The method makes this connection: it translates a technical measurement into a business consequence, so the decision is made at the right level.
A critical defect found in production costs orders of magnitude more than the same defect found before release. Much of the value of Software Quality Intelligence™ lies in this timing shift: moving detection upstream.
Identifying the 20% of code that concentrates 80% of the risk means targeting effort where it protects the most — and freeing the rest to move forward.
Whatever your sector, cybersecurity imposes a common requirement: transparency about software components. The Cyber Resilience Act expects an SBOM (an inventory of open-source, third-party, and proprietary dependencies), which TiCS generates as it analyzes.
30 minutes to map your priority risks — and the regulatory framework that applies to your code — then derive the measures to put in place.
