Case Studies

What changes when AI joins the assessment loop

The following are representative engagements across our target domains, showing where General Autonomy moves the metrics that matter. Named references are available under NDA on request.

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Automotive OEM · ADAS

Compressing HARA for a new ADAS feature

A functional safety team needed to complete hazard analysis and safety-goal derivation for a new driver-assistance feature under a tight release schedule. Manual HARA across the feature set was the critical-path bottleneck.

With G-Assess, the team generated a first-pass HARA and STPA control structure from the item definition, then focused engineering time on review and refinement rather than blank-page drafting.

Days→hrs

First-pass HARA drafting time

100%

Hazards traced to safety goals

ISO 26262HARASTPA

Robotics · Warehouse Autonomy

Finding the edge cases before deployment

A mobile-robot team operating fleets in shared human spaces needed confidence that their perception stack handled rare but high-consequence situations, and evidence to support it.

G-Sim generated risk-driven scenarios from the team's hazard model and ran them against a digital twin, surfacing failure modes concentrated at the operational-domain boundary and quantifying coverage per condition.

10k+

Scenarios run per campaign

Earlier

Detection of edge-case failures

SOTIFCoverageDigital twin

Tier-1 Supplier · Connected Autonomy

Unifying safety and cybersecurity analysis

A supplier ran ISO 26262 and ISO 21434 activities in separate tools and teams, making change management slow and traceability fragile across safety and security.

By running HARA and TARA on a shared model in G-Assess, the team maintained a single traceability graph, so a design change updated impact across both safety and cybersecurity work products at once.

Traceability model for safety and security

Faster

TARA iteration on design changes

ISO 26262ISO 21434TARA

Case studies are representative of engagements across our target industries and illustrate typical workflows and outcomes. Specific results depend on system complexity, scope, and integration. Customer references available under NDA.

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