- Specialization
- Robotics
- Business
Data Provisionand 2 more business valuesLess
- Hardware Manufacturing
- Professional Services
- Market
- Manufacturing
- Ecosystem
- Physical AI
- Customers
Enterprisesand 1 more customers valuesLess
- Developers
More details
- Organization type
- Commercial Company
- Ecosystem
- Physical AI
- Business
- Data Provision, Hardware Manufacturing, Professional Services
- Specialization
- Robotics
- Market
- Manufacturing
- Customers
- Enterprises, Developers
- Delivery models
- Hardware, Professional Services
- Revenue models
- Product Sales, Services Fees
- Listing status
- Not classified
- Latest equity round
- Seed
- Reported funding amount
- Not classified
About
6thSense builds wearable tactile-sensing rigs that capture pressure, contact, grip, pose, vision, depth, force, and 3D hand data in real environments. It sells this multimodal data to companies training dexterous robots, differentiating through purpose-built, in-house hardware whose sensors map directly to robotic tactile arrays.
Market
6thSense competes in the tactile-sensing and physical-AI infrastructure market for dexterous robotics, positioning itself as the “touch layer” that supplies robots with pressure and contact feedback rather than relying on vision alone. Its differentiation is an integrated hardware-and-data approach: in-house tactile devices capture multimodal human interaction data, while custom tactile skin is molded to robot hands so collected data transfers to the target hardware. It therefore overlaps with sensor and tactile-platform vendors such as GelSight, SynTouch, XELA Robotics, and Contactile, but emphasizes wearable real-world data capture and sensor-to-robot transfer.
6thSense primarily targets robotics companies and physical-AI developers training dexterous-robot manipulation policies or requiring custom tactile data. Likely buyers include robotics hardware, perception, manipulation, and machine-learning teams building next-generation robot hands and grippers.
At a Glance
Problem
Dexterous robots need to learn how human hands perceive and manipulate objects in real environments, but the training data available for physical AI is a bottleneck: conventional robot datasets do not adequately capture touch, pressure, contact, grip, force, and hand pose together. The central pain is therefore the difficulty of collecting grounded, multimodal demonstrations of real-world manipulation—the data needed to make robot hands useful beyond controlled settings.
The killer use case is training next-generation dexterous robotic systems to perform human-like manipulation. 6thSense targets robotics companies that need large, egocentric datasets showing how hands interact with objects, turning physical human experience into data that can improve robot perception and control. The evidence does not disclose pricing, unit economics, or customer revenue, so the commercial economics remain unreported; the value proposition is the reduction of the data-collection gap for companies building physical AI.
Product / Service
6thSense combines wearable tactile-capture hardware with data collection. Its rigs and gloves record how a human hand interacts with the world, including pressure, contact, grip, and pose, while combining touch, vision, depth, force, and 3D hand-pose signals in real environments. The company’s site also describes custom “skin” molded to robot hands, suggesting a hardware layer designed to connect human demonstrations with robotic embodiments.
The delivery model is primarily data-oriented: 6thSense says it sells the resulting multimodal data to companies training dexterous robots. The benefit is a richer training signal than vision alone, giving physical-AI developers information about what a hand feels and how it applies force while manipulating objects.
Market
6thSense competes at the intersection of physical AI, robotics data, tactile sensing, and dexterous-manipulation infrastructure. Its positioning is not simply as a sensor vendor: it is developing tactile egocentric datasets and the hardware needed to create them for robotic-system training. A third-party company profile identifies 221 active competitors, including 80 funded companies and nine that have exited, but the available evidence does not name specific competitors, so no individual competitor can be reliably identified here.
The company is an early-stage YC Summer 2026 robotics startup based in San Francisco. Available reports describe a $500,000 pre-seed round led by Y Combinator, while another third-party profile reports $658,000 in total funding; this discrepancy likely reflects different reporting or financing classifications. 6thSense’s revenue status and customer traction are not disclosed in the available evidence, so it should be treated as an early-stage, likely pre-commercial company rather than one with demonstrated revenue traction.
Founders & Leadership
Funding History
Y Combinator (lead), Krew Capital
Recent News
Dealroom reported that 6thSense raised approximately $700K in pre-seed funding after selection for Y Combinator’s Summer 2026 batch, with Krew Capital leading the round. The company’s platform combines proprietary tactile gloves and egocentric camera sensors to produce synchronized, labeled training data for dexterous robots.
6thSense launched through Y Combinator, presenting wearable tactile sensing rigs that capture how human hands interact with the world across touch, vision, depth, force, and 3D hand pose. The company sells this multimodal data to teams training dexterous robots and manufactures its tactile sensing hardware in-house.
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Get notified when they postBusiness Model
6thSense makes money by selling multimodal tactile datasets and custom tactile data-capture services to companies developing dexterous robots and manipulation policies. Public sources do not disclose a specific pricing structure.