Evidence2Scenario: Turn Crash Evidence into Safety Scenarios - Seeking Funding & Partners

Real-world accident evidence holds valuable insights for automotive safety, but it is often scattered across databases, reports, maps and visual material. Turning this information into useful testing scenarios requires substantial engineering effort.

Evidence2Scenario (E2S) https://automotive.voxcari.com/ is our automotive AI solution for transforming these heterogeneous sources into a common, evidence-grounded scenario representation.

Our development aims to help safety and validation teams:

• Organize fragmented accident evidence into consistent scenario knowledge.

• Connect scenarios to their supporting sources.

• Identify relevant traffic situations for further analysis and testing.

• Prepare scenario catalogues that can support simulation-based validation workflows.

We are looking to connect with automotive manufacturers and suppliers, engineering and simulation companies, research institutions, and mobility organizations. Potential partners could contribute domain expertise, suitable datasets, validation environments, integration capabilities or complementary technologies.

We are currently seeking joint funding opportunities to support our next phase of development. We welcome discussions about collaborative research and innovation proposals, including partnerships that combine AI expertise with automotive safety and validation experience.

Once funding is secured, we are eager to work with partner organizations to evaluate our approach on a focused use case and explore options for technical integration or co-development. Together, we would define the scope, data requirements and evaluation criteria for that collaboration.

If your organization is interested in developing a joint funding proposal and shaping a future evaluation of Evidence2Scenario, we would welcome a meeting to discuss the fit and share our technical presentation.