NVIDIA put $2B into Nebius. Michael Burry is now shorting the same stock.
If you're watching that trade, both bets are about compute. Neither is about where your data comes from.
Perceptron operates one layer down, collecting the kinds of data both sides are ignoring.
The world's stock of high-quality public text sits at roughly 300 trillion tokens.
Stanford's 2026 AI Index says models could exhaust it by 2032.
Perceptron's 800K+ nodes generate fresh real-world data daily, a supply that keeps replenishing itself.
.@OpenAI just signed a $250M, five-year deal with News Corp for licensed text data.
That's the price of one publisher's archive, once.
Perceptron's node network generates live data every day, without an expiring contract.
We're thrilled to announce that Perceptron has closed a $6.5M strategic round.
Centralized scraping is hitting diminishing returns on cost and quality. Closed data partnerships are out of reach for most AI teams. The real bottleneck for AI right now sits at the data layer.
Perceptron compresses global data collection into one mesh: idle bandwidth, unique datasets, and domain expertise from a network already live across 800K+ nodes in 150+ countries, with 300K+ daily active contributors.
This round funds our data-questing platform, letting AI companies commission specific, high-value datasets directly from that network and cutting the timeline from request to delivered dataset down to days.
The network continues to expand.
Join us.
→ https://t.co/nXcXB5JrxY