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FortyFive

FortyFive provides a cloud‑based virtual reality platform that lets AI researchers and engineers generate synthetic 3D data at scale. Users can build interactive scenarios, run physics‑accurate simulations, and automatically capture and label sensor streams, with integration to Python, Node.js and AWS for seamless training pipelines.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Training advanced AI models requires large, high‑quality datasets, but collecting and annotating such data at scale is costly and time‑consuming, especially for tasks involving 3D environments and physical interactions.

Solution

FortyFive offers a cloud‑based virtual reality platform that lets researchers and engineers generate synthetic data within interactive 3D worlds. Users can design scenarios, run simulations, and capture sensor streams (e.g., images, depth, physics states) directly from the VR environment. Built‑in annotation tools automatically label the generated data, reducing manual effort. The platform integrates with common AI pipelines through APIs and supports distributed training workloads on AWS. By leveraging WebXR, WebGL, and GPU‑accelerated rendering, FortyFive enables rapid iteration and massive scaling of data creation for robotics, computer vision, and reinforcement learning applications.

Target Audience

Primary customers are AI research labs, robotics companies, and computer‑vision teams that need large, labeled 3D datasets for model training and validation.

Features

  • WebXR‑enabled VR workspaces for real‑time scenario building and data capture
  • Automatic generation of ground‑truth labels (segmentation, pose, physics) during simulation
  • Integration with Python, Node.js, and AWS services for seamless training pipeline deployment
  • Support for high‑performance physics engines (MuJoCo) and GPU acceleration (CUDA, WebGPU)
  • Collaborative environment allowing multiple researchers to contribute to dataset creation
  • Extensible plugin architecture using React, TypeScript, and Three.js for custom tool development
This profile is AI-generated and may contain inaccuracies.