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The leading safety-driven Verification and Validation (V&V) platform. Foretify is used by engineers at OEMs, Tier-1 suppliers, and AV stack providers to accelerate the development and deployment of safe Automated Driving Systems and ADAS. Foretify provides a unified V&V flow that combines real-world test drives and virtual simulation in one platform.
Massive-scale generation of millions
of ODD/Map relevant tests to expose bugs,
edge cases, and unknowns.
Analytics based visualization of the
state of verification and validation
efforts.
Based on open Industry standards such
as OSC 2 and supporting over 15 testing
platforms and requirements systems.
V-Suites Verification &
Validation Packages
Increase quality
by finding bugs, edge cases and unknowns early in the development cycle.
Reduce risk and recalls
that have a high cost of failure and can lead to loss of lives.
Reduce overall cost of testing
by applying automation and goal-based approach to replace inefficient and costly manual methods used for the generation and analysis of tests.
Shorten time-to-market
by utilizing proven methodologies that allow for a productive and systematic approach to manage the infinite space of scenarios and converge faster to test completeness.
Provide full visibility
of where the testing process is by using a unified dashboard and a measurable, quantifiable metric-driven approach for all testing platforms.
Portability
across maps and ODDs with minimal effort.
V-Suite
(off-the-shelf testing and verification packages)
for ADAS functions such as AEB, LSS, ACC, etc, as well as ODD-specific packages for L4 mining and L4 highway.
Test platform-agnostic architecture
that supports multiple simulators, HIL, test tracks, and street driving testing.
This allows a fully integrative, non-intrusive test management solution and the flexibility to add and replace the different testing platforms according to need.
Full traceability
to requirements system and integration.
Improve
Quality
By exposing more bugs, edge
cases, and unknown unknowns
early in the development cycle.
Reduce the Cost
of Testing
By automating the creation
of meaningful tests and
monitoring of results.
Reduce Time
of Deployment
By utilizing proven intelligent
methodologies guided by
metrics and analytics.
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