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Automation + AI finds more issues, sooner, with proof.
Automated HiL Testig for Infotainment, Navigation and Connect.
We run massive, repeatable HiL suites across Vector/ETAS/dSPACE/NI stacks (and more), generate new cases from your own library, and deliver in-time reporting. Your team spends less time re-running steps—and more time fixing what matters.
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Regression runtime: ↓ 60–90% vs. manual cycles
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Defect reproduction time: minutes (links to exact logs/signals/audio)
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Escaped defects (post-merge): ↓ quarter-over-quarter

We use automation and assistive AI to do the heavy lifting—then point our human experts at the high-value work (exploratory UX, edge-case triage).

Tool-agnostic: Vector (CANoe, .dbc/.blf/.mf4), ETAS (INCA, .a2l), dSPACE, NI, ASAM (XIL, A2L, MDF4), AUTOSAR/SOME-IP, CAN/LIN/Ethernet/UDS, CarPlay/Android Auto, Jenkins/CI.

KPIs that matter
TIME
Regression runtime: ↓ 60–90% vs. manual cycles
REPRODUCE
Defect reproduction in minutes
(links to exact logs/signals)
COSTS
$ per test-hour: down by ~6–10×
57–70% lower annual cost (rate-dependent)
GROWTH
+62% Coverage growth per sprint on new test cases via AI-assisted generation
EFFICIENCY
While we Sleep, Test Benches Run (24/7)
EXECUTION
High accuracy and repeatability, which sharply increases bug discovery and reduces false regressions.
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