Tangent Robotics Secured $4.5 Million Pre-Seed
The New York City startup aims to accelerate robot motor learning for precision manufacturing.
Updated on Sept. 30, 2026 in Robotics
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New York City-based Tangent Robotics has raised $4.5 million in pre-seed funding to develop robotic manipulation hardware and software. The company spun out of Columbia Engineering to focus on touch-sensing technology and machine learning.
Why it matters
The company seeks to automate high-precision manufacturing tasks that currently require human fine motor skills. This research-stage development aims to shrink the time required for robots to acquire complex motor tasks from months to days or hours.
Tangent Robotics is building proprietary light-based touch sensors for robotic end-effectors combined with motor learning algorithms. These components aim to optimize dexterity for industrial tasks that historically elude standard robotic automation.
The players
Tangent Robotics
A New York City-based robotics startup developing touch-sensing hardware and motor learning software for industrial manipulation.
Columbia Engineering
The engineering school of Columbia University, acting as the research institution from which Tangent Robotics spun out.
Toyota Ventures
The investment arm of the automotive giant, focused on frontier technologies in AI and robotics.
The details
The firm integrates tactile sensing—devices that mimic human touch to detect pressure and texture—into robotic fingers to improve feedback during object manipulation. By coupling these sensors with machine learning, a process where systems improve performance through data analysis, the team targets a reduction in the time needed to train robots on manual tasks. This approach is intended to enable autonomous operation in complex industrial environments.
Timeline
September 30, 2026: Tangent Robotics announced its pre-seed funding round.
The Tech Race
Tangent Robotics is entering a competitive field of startups aiming to solve the dexterity gap in industrial automation. This work builds upon core research in tactile sensing and motor learning previously centered within Columbia Engineering's robotics labs.
The startup's technology is currently in the research and development phase and is not yet available for commercial manufacturing use. The company plans to deploy these capabilities into industrial settings, which may eventually improve throughput and consistency for automated assembly lines.
The takeaway
The move suggests a shifting focus toward hardware-software integration for specialized robotic tasks in factory environments. Observers should track upcoming pilot announcements for data on real-world precision performance compared to manual methods.
Further reading
For broader trends in automated industrial hardware, see our coverage of Robotics.
More information
For more information on the firm's progress, visit the Company information website.
Source note: This article includes information reported by Iberonews.
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