Foretellix
About
About Foretellix
Foretify ingests and indexes real-world driving or machine data, labels relevant events and converts them into searchable test assets. Teams define measurable requirements and use those assets to identify gaps in behaviour, operating-domain coverage and safety evidence.
Foretify Generate creates synthetic variations and new scenarios, while Evaluate orchestrates execution across simulators, test vehicles and hardware environments. Coverage analytics compare the results against the defined requirements, giving autonomy developers a traceable validation workflow across real and simulated test cases.
Funding
- 2023-12-05 - Series C - $85M - Foretellix closes $85M Series C round
Foretellix closed an $85 million Series C financing round led by 83North to scale its autonomy validation products and AI capabilities. - source: prnewswire.com
Investors
- 83North - Lead - Unknown - 1 funding event - first seen 2023-12-05
- Artofin - Participant - Unknown - 1 funding event - first seen 2023-12-05
- Isuzu - Participant - Unknown - 1 funding event - first seen 2023-12-05
- Jump Capital - Participant - VC - 1 funding event - first seen 2023-12-05
- MoreTech - Participant - Unknown - 1 funding event - first seen 2023-12-05
- Nationwide - Participant - Unknown - 1 funding event - first seen 2023-12-05
- Next Gear Ventures - Participant - VC - 1 funding event - first seen 2023-12-05
- NVIDIA - Participant - Unknown - 1 funding event - first seen 2023-12-05
- OurCrowd - Participant - Unknown - 1 funding event - first seen 2023-12-05
- Temasek - Participant - Unknown - 1 funding event - first seen 2023-12-05
- Volvo Group VC - Participant - Unknown - 1 funding event - first seen 2023-12-05
- Woven Capital - Participant - VC - 1 funding event - first seen 2023-12-05
Team
- Ziv Binyamini - CEO & Co-Founder - Binyamini drives Foretellix's commercial and product strategy for safety validation of autonomous vehicles and physical AI systems.
- Yoav Hollander - CTO & Founder - Hollander leads the technical direction of Foretellix's verification, scenario and validation stack for autonomous systems.
- Gil Amid - Chief Regulatory Affairs Officer, VP Operations & Co-Founder - Amid connects Foretellix's validation tooling with regulatory, operational and safety-assurance requirements for autonomous systems.
Timeline
Events
- 2026-06-01 - Capability - Foretellix details NVIDIA Alpamayo reference solution
The reference solution combines Foretellix Foretify with NVIDIA Omniverse NuRec and Cosmos. Foretellix positioned the system as a way to scale physical AI and autonomous-driving development. The company planned to demonstrate the workflow at CVPR 2026 on June 5.
Source - 2025-12-09 - Partnership - Foretellix and Voxel51 launch 3D neural-reconstruction workflow for AV development
The workflow connects Voxel51 data curation with Foretellix simulation and validation tooling. Foretellix said the system can generate synthetic data from reconstructed 3D scenes for AV development. The companies positioned the launch around perception testing, edge-case discovery and scalable autonomy validation.
Source - 2025-11-13 - Partnership - Foretellix and Inverted AI launch hybrid AV simulation workflow
Foretellix Foretify defines scenario intent, generates test conditions and automates large-scale simulation runs. Inverted AI's DRIVE API supplies learned behaviour models for surrounding vehicles, pedestrians and cyclists. The companies made the joint solution available to select partners for high-fidelity testing of everyday traffic and rare edge cases.
Source - 2025-11-06 - Partnership - Foretellix and Parallel Domain partner on hyper-realistic AV simulation
The joint solution combines camera, radar and lidar simulation with digital twins generated from drive logs. Foretellix contributes scenario generation, large-scale execution and KPI-driven coverage analysis, while Parallel Domain supplies neural reconstruction and annotated sensor data. The workflow supports closed-loop validation from perception through planning and end-to-end model testing.
Source - 2025-10-28 - Capability - Foretellix integrates Foretify with NVIDIA DRIVE AV
The integration connects Foretellix coverage-driven verification and synthetic-data generation with NVIDIA's end-to-end AV software stack. Foretellix said the work extends its use of NVIDIA Omniverse and Cosmos within the Foretify toolchain. The combined workflow targets L2++, L3 and L4 autonomous-driving development with measurable scenario coverage and safety evidence.
Source - 2023-12-05 - Funding - Foretellix closes $85M Series C round
83North led the round, with Temasek and Isuzu joining investors including Woven Capital and NVIDIA. The company said the Series C brought total capital raised to $135 million. Foretellix said the funding would extend its product line and accelerate AI capabilities for autonomous systems.
Source
Relations
Relationships
- NVIDIA
Technology Partner - Foretellix integrated its Foretify toolchain with NVIDIA DRIVE AV and NVIDIA simulation technologies.
- NVIDIA
Platform Support - Foretellix uses NVIDIA Cosmos and Omniverse Sensor RTX APIs for high-fidelity AV testing data.
Context
Comparable profiles
- Fern
stack adjacency - Robot Validation
- IPG Automotive
stack adjacency - Autonomous Vehicle Testing Infrastructure
- VI-grade
stack adjacency - Autonomous Vehicle Testing Infrastructure
- Claytex
stack adjacency - Autonomous Vehicle Testing Infrastructure
- AB Dynamics
stack adjacency - Autonomous Vehicle Testing Infrastructure
- Bulin AI
stack adjacency - Robot Validation · Model Validation For Robotics
- Valgo
stack adjacency - Robot Validation
- Testnor
stack adjacency - Robot Validation
- Dataspeed
stack adjacency - Autonomous Vehicle Testing Infrastructure
Context tags
- Autonomous-vehicle validation layer - Stack Layer - Official company material supports autonomous vehicle testing infrastructure.
- Model validation for robotics - Capability - Official company material supports model validation for robotics.
- Robot Validation - Stack Layer - Official company material supports robot validation.