Proception AI
About
About Proception AI
Proception AI builds its manipulation platform around a robot hand and a wearable glove that share a tactile-sensing approach. ProHand 1.0 has 22 degrees of freedom and cable-driven fingers: motors pull tendons to move the joints while keeping the fingers compact. Skin-like sensors measure contact during grasping, providing feedback for grip control and interaction with objects.
ProGlove captures a person's direct contact with objects, so demonstration data can be collected without a robot participating in every recording. A headset supplies visual context alongside the glove's interaction signals. The resulting workflow connects human demonstrations to robot-hand training, while ProHand also supports conventional teleoperation. Developer tooling includes Python and C++ interfaces and simulation models for integrating the hands into larger manipulation systems.
Articles
Products
Funding
- 2026-06-29 - Seed - $11M - Proception raises $11M seed led by First Round Capital
Proception AI announced an $11 million seed round led by First Round Capital. - source: techcrunch.com
Investors
- BoxGroup - Participant - Unknown - 1 funding event - first seen 2026-06-29
- First Round Capital - Lead - VC - 1 funding event - first seen 2026-06-29
- Y Combinator - Participant - Unknown - 1 funding event - first seen 2026-06-29
Team
- Jack Xu - Founder
- Jay Li - Founder and CEO
Resources
Curated durable documents and official technical references.
- Proception simulation model generations
WEB / CODE · Hand generations · Proception AI
Source - Proception SDK generation guide
WEB / CODE · Hardware / SDK integration · Proception AI
Source
Timeline
Events
- 2026-06-29 - Funding - Proception raises $11M seed led by First Round Capital
First Round Capital led the seed round. BoxGroup and Y Combinator participated. The round was announced alongside Proception launching ProHand and ProGlove.
Source - 2026-06-29 - Product Launch - Proception launches ProHand and ProGlove for dexterous manipulation
Proception is shipping first ProHand batches to researchers and robotics companies while opening wider orders. ProGlove captures human hand interaction data without requiring a robot in the loop. ProHand has 22 degrees of freedom and multiple joints per finger.
Source - 2024-03-01 - Company Formation - Proception launches on Y Combinator with ProHand humanoid hand positioning
Proception disclosed a March 2024 Y Combinator launch on its news page. The company positioned ProHand around humanoid robotics and dexterous hands capable of fine manipulation tasks. The launch gives Proception a public early-stage company signal for the humanoid end-effector market.
Source
Context
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comparable profile - Dexterous Hand Platforms · Dexterous Robot Hand Builder · Humanoid Component Supply · Humanoid Dexterous Hand Platform
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- AGILINK
comparable profile - Dexterous Robot Hand Builder
- SPG
comparable profile - Humanoid Component Supply
- Meili Technology
comparable profile - Humanoid Component Supply
- Yansyn / 演犀科技
comparable profile - Humanoid Component Supply
- HeymanDex
comparable profile - Dexterous Robot Hand Builder
Shared workflows
- VinMotion
workflow adjacency - Humanoid Human In Loop Training
Context tags
- Dexterous manipulation - Capability - ProHand and ProGlove target dexterous manipulation and human-demonstration data.
- Dexterous hand OEM - Stack Layer - Proception supplies dexterous robotic hand hardware.
- Humanoid dexterous hand platform - Peer Group - ProHand is marketed as a humanoid hand platform.
- Humanoid component supply - Peer Group - ProHand is positioned as a hand component for humanoid and manipulation platforms.
- Dexterous robot hand builder - Peer Group - Canonical exact-product evidence: ProHand. Source: https://techcrunch.com/2026/06/29/robot-hand-company-settles-tesla-trade-secret-suit-and-announces-11m-raise/
- Dexterous hand platforms - Peer Group - Proception builds ProHand as a dexterous robotic hand for humanoid and manipulation systems.
- Dexterous in-hand manipulation - Workflow - The product is positioned for contact-rich fine manipulation.
- Tactile sensing - Capability - The product stack uses tactile sensing and a sensor-packed glove skin.
- Tactile robot hand control - Capability - ProHand uses tactile sensing and glove-based sensor skin context.
- Humanoid human-in-loop training - Workflow - ProGlove captures human hand interaction data for robot training workflows.
- Robotics data infrastructure layer - Stack Layer - ProGlove creates human-demonstration data for dexterous manipulation.
