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What if FAT and SAT held no surprises? Defects from earlier project phases tend to converge at acceptance, when corrections cost the most. In this webinar, Prover shows how to catch them earlier: → Formal verification proves safety properties hold in every reachable state → Simulation covers the degraded modes manual test cases miss → Automated HIL testing catches integration issues while they are still cheap to fix Walk away knowing what goes into an acceptance readiness package and how to reuse it across releases. Speakers: Benjamin Blanc and Gunnar Smith, Prover. Save your seat 👇

Find defects before acceptance, not during it. FAT and SAT are where late defects turn into delays. Learn how formal verification, simulation and automated HIL testing let you prove acceptance readiness before the test windows open. Live webinar with Benjamin Blanc and Gunnar Smith from Prover. Real rail examples included. Sign up today 👇

Most signaling defects are introduced long before acceptance. They just get found there. By the time issues surface in FAT or SAT, fixes are at their most expensive and the schedule has the least slack. Manual testing scales poorly, and coverage is hard to prove. Join Prover for a live webinar on how to move that confidence earlier by combining: ✔ Formal verification of selected safety properties ✔ Simulation of sequences, degraded modes and corner cases ✔ Automated hardware-in-the-loop testing ahead of FAT You will see what an acceptance readiness package contains and how to build it into projects without extending timelines, with real examples from a COTS PLC interlocking and ERTMS test cases generated automatically from site-specific data. Speakers: Benjamin Blanc (Solutions Manager) and Gunnar Smith (Chief Product Officer), Prover. Register for the live session 👇

30 years ago, the gap was obvious. Today it isn't. People relied on expertise and know-how, and now nobody's sure what was meant. Legacy behavior and assumptions are often not fully documented. So how do you find what's missing? Challenge the experts. Then use formal verification to detect the shortcomings in configuration and integration. Watch the full webinar now.

What did they mean? Decades on, gaps that were obvious at the time have become ambiguous. Our expert unpacks: → Why gaps in legacy behavior and assumptions are so hard to spot → Why challenging your experts leads to better rules → How formal verification detects configuration and integration shortcomings, faster than manual review alone Watch the full webinar now.

Good Requirements Engineering is not about adding more process. In safety-critical railway signaling, it is about simplifying the engineering foundation so that digitalization, automation, verification, migration, and AI-assisted engineering can be managed with greater confidence. Join Arne Borälv from Prover for a live webinar on how railway organizations can move from scattered signaling requirements to a structured, traceable, and verified engineering baseline. Live on September 16, 2026, at 15:00 CEST.