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Accelerate proposals by matching requirements to real product data

Transform incoming, unstructured requirements into structured, connected knowledge by linking them directly to product architectures, variants, and historical data. This enables teams to instantly identify reusable components, estimate costs based on actual project history, and make confident, fast decisions while reducing redundancy and variant complexity across offers and product lines.

What can you achieve with this use case?

Up to
60%
faster quote cycle
Up to
20%
saved in (redundant
Up to
50%
fewer specification-related defects

Trusted by

  • VW

  • Mercedes

     

  • BMW

  • Rheinmetall

  • Bosch bw

     

  • infineon

  • Audi

  • Porsche

  • Ford

  • Mini

     

  • Daimler Truck

  • EvoBus

  • HAZEMAG

  • Miele

  • Coficab

 

Smart Matching to Historical Projects

AI-supported matching compares each incoming requirement set with real engineering data, not just BOMs, to identify reuse potential, functional overlaps, and cost-driving changes. Enables faster, more accurate proposals based on validated history.

Traceability Across Systems and Variants

Links requirements to existing product data, making impact, gaps, and reuse options visible. Supports confident decision-making and prevents overengineering and quality issues downstream.

Smart Effort Estimation and Routing

Uses historical engineering data to estimate cost and effort, and routes requirements to the right expert based on past ownership and domain relevance. Eliminates redundant validations and enables faster collaboration.

How to

get started

1

Scope high-impact
use cases

Together, we identify your most important engineering challenges and define clear, measurable use cases.

2

Deploy solutions
rapidly

Within weeks we deploy our platform, integrate the required product data and configure the defined solutions.

3

Rollout across
the company

We train users across teams, scale company-wide, and support you continuously on the way.