funding

DealsMay 26

This startup is betting India’s gig economy can train the world’s robots

Source: AI News & Artificial Intelligence | TechCrunch

Human Archive, a Silicon Valley startup founded by UC Berkeley and Stanford researchers, raised $8.2 million from Wing Venture Capital, NVP Capital, Y Combinator, and angels from OpenAI, Nvidia, Google, Mercor, and Meta to pay Indian gig workers $1/hour to wear camera caps, tactile gloves, and motion-capture rigs that collect egocentric training data for robotics labs. The company says it has more than 1,000 active headsets and 50+ devices deployed across home-services, hotel, and restaurant partners in India, with early expansion into Southeast Asia and the US.

Why it matters

The cap table is the story. Angels from OpenAI, Nvidia, Google, and Meta backing a data-collection arbitrage tells you the frontier labs view egocentric human-task data as the binding constraint on humanoid policies, and they are willing to fund $1/hour Indian gig labor to get it before the supply tightens. Human Archive's edge is not the cap. It is the claim of synchronized RGB-D plus tactile force plus full-body mocap plus wrist cameras at scale, which is the sensor stack labs actually need to train manipulation policies, not just video.

The fragility is the partnership layer. Urban Company and Pronto publicly walked, India's MeitY is now examining consent mechanisms for exactly this category, and competitors are paying workers two to four times more per hour. If DPDP enforcement tightens or a larger home-services platform launches a captive data program (Pronto is already shopping one), Human Archive's labor-cost advantage compresses fast. For operators buying physical AI training data, the question to ask vendors in 2026 is not hours collected but sensor-synchronized hours under defensible consent.

EconomicsMay 23

How VCs and founders use inflated ‘ARR’ to crown AI startups

Source: AI News & Artificial Intelligence | TechCrunch

TechCrunch interviewed over a dozen founders, investors, and finance professionals who confirmed that AI startups routinely report contracted ARR (CARR) or annualized run-rate revenue as ARR in public, with one VC citing cases where CARR runs 70% higher than actual ARR and investors aware of at least one enterprise startup that claimed $100M+ ARR while only a fraction came from paying customers.

Why it matters

For anyone deploying physical AI, this matters because the same metric games are now standard in robotics, AV, and embodied-AI fundraising decks. When a humanoid company announces "$100M ARR" two years in, assume a meaningful share is CARR: signed letters of intent, pilots not yet implemented, multiyear contracts with year-one discounts annualized to year-three pricing. Hardware deployments make this worse than SaaS because implementation timelines are longer and pilot-to-production conversion is genuinely uncertain, so the gap between booked and collected can sit open for 18-plus months.

The operator takeaway is to discount headline ARR from any private physical-AI company by default and ask three questions before benchmarking against it: how many units are actually in revenue-generating production, what is the churn assumption on multiyear contracts, and is usage-based revenue being annualized off a peak month. Public-market comps still price on collected revenue, which is why the correction, when it comes, will hit the late-stage rounds hardest.

InfrastructureMay 22

EV charging demand is stressing local grids, and Texture just raised $12.5M to tackle it

Source: Electrek

Grid software startup Texture has raised a $12.5 million Series A round as utilities scramble to keep up with rising electricity demand from EVs, EV chargers, data centers, renewables, and extreme weather.

DealsMay 21

Hark Raises $700M at $6B Valuation for Figure Founder's AI Hardware Venture

Source: TechCrunch

Brett Adcock's AI hardware startup Hark raised over $700 million in a Series A round valuing the company at $6 billion. Hark is building a vertically integrated family of AI hardware devices with co-developed models and interfaces; notably, Hark's models are already being trained on Adcock's Figure AI robots, creating a cross-company embodied-AI data loop.

ChinaMay 21

Robotera Raises $200M as Humanoid Units Reach 10-Plus Logistics Centers

Source: AI Insider

Beijing-based Robotera raised more than $200M in a round led by SF Group, following a separate $143M strategic financing in March, with investors including HSG, IDG Capital, Hillhouse, and CICC Capital. The company says its humanoid robots are now operating in more than 10 logistics centers through partnerships with China Post and SF Group, and it began thousand-unit deliveries in Q2 2026 with growth exceeding 300%.

DealsMay 13

Rivian's robot spinoff is now a $3B company

Source: TechCrunch

Mind Robotics raised another $400M led by Kleiner Perkins, just two months after a $500M Series A. Volkswagen and Salesforce ventures both came in. Total raised now exceeds $1B at a $3B+ valuation. RJ Scaringe stays on as chairman.

ChinaMay 11

Shenzhen's vBot raises $73M Pre-A at $400M for warehouse humanoids

Source: 36Kr

Placeholder summary — replace with the actual factual lede. Cap table, valuation, what the company does, why now.