TacnIQ.ai raises $3M pre-seed to teach machines the sense of touch

What's the deal? Physical-AI startup TacnIQ.aiDealroom has a profile for this one. Try Dealroom → has raised $3 million in a pre-seed round led by In Group HoldingsDealroom has a profile for this one. Try Dealroom →, which contributed $1.5 million. The company, based in Singapore and California, said the money will fund its tactile-AI foundation models, expand its engineering team, and support commercial deployments.

What's the endgame? TacnIQDealroom has a profile for this one. Try Dealroom →.ai builds technology that lets machines and robots interpret touch, reading signals from physical contact so they can respond to real-world interactions. It targets logistics, construction, e-commerce, hospitality, and healthcare, gathering data through wearable collection nodes that can improve workplace safety and ergonomics.

Why it matters: The company said it has built one of the world's largest tactile datasets, with more than 5,000 hours of interactions from controlled experiments and commercial use. It is developing more sensor nodes to capture a wider range of physical signals.

The proprietary dataset lets TacnIQ.ai train a single model across industries, tasks, and operating conditions, rather than on laboratory data or for one application, it said. That approach can reduce the need for application-specific training.

Co-founder and chief executive Aashish Mehta said the funding would let the company hire engineers and develop the technology "toward practical use."

The signal: Touch remains one of the harder senses for machines to master, and TacnIQ.ai is betting a broad dataset can close that gap across sectors. At $3 million, the round sits in the lower band for early-stage deals — but pre-seed capital in physical AI is enough to prove the model before scaling.

Image credit: Generated with Gemini