Synthesis AI

Summary

About

About Synthesis AI

Synthesis AI’s HumanAPI generated photorealistic digital people with programmable body shape, age, skin tone, clothing, pose, lighting and camera conditions. Because every scene was created computationally, labels such as segmentation masks, keypoints, depth and identity were produced automatically alongside each image.

Synthesis Humans and Synthesis Scenarios extended the platform into multi-person scenes, activities and controlled edge cases. Computer-vision teams used these tools to supplement captured datasets for facial analysis, pose estimation, behaviour recognition and other models requiring combinations that are difficult or expensive to record in the real world.

PRICE
Range 1Y
Return
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Low
Updated

Funding

Investors

  • 468 Capital - Lead - VC - 1 funding event - first seen 2022-04-28
  • Bee Partners - Participant - VC - 1 funding event - first seen 2022-04-28
  • Boom Capital - Participant - VC - 1 funding event - first seen 2022-04-28
  • iRobot - Participant - Unknown - 1 funding event - first seen 2022-04-28
  • Kubera - Participant - Unknown - 1 funding event - first seen 2022-04-28
  • PJC - Participant - Unknown - 1 funding event - first seen 2022-04-28
  • Sorenson Ventures - Participant - VC - 1 funding event - first seen 2022-04-28
  • Strawberry Creek Ventures - Participant - VC - 1 funding event - first seen 2022-04-28

Team

  • Yashar Behzadi - Founder & Chief Executive Officer - Founded Synthesis AI and leads its synthetic-data platform for computer vision.

Timeline

Events

Context

Comparable profiles

  • H2L Robotics India

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Context tags

  • Industrial synthetic data - Capability - Official company material supports the industrial synthetic data context.
  • Model validation for robotics - Capability - Official company material supports the model validation for robotics context.
  • Physical AI training data - Stack Layer - Official company material supports the physical ai training data context.