Inside PearX's Demo Day: The 5 Startups VCs Are Watching
Accelerators may be plentiful, but PearX stands apart as one of the few that top investors track closely. Run by pre-seed and seed-focused venture firm Pear VC, the 12-week program caps each cohort at just 20 startups—a fraction of the scale of most accelerators.
PearX's biannual demo day reliably draws leading VCs, a testament to the quality of companies the program has historically produced. Recent alumni include Known, a voice-AI matchmaking startup backed by Forerunner Ventures, and Andera, which automates corporate audit and compliance and raised a $37 million Series A from Lightspeed in 2025.
How PearX Differs From Y Combinator
PearX distinguishes itself from Y Combinator, the original startup accelerator, in several key ways:
- Smaller cohorts: Just 20 startups per batch versus YC's much larger classes.
- No standard terms: Investments can reach as high as $2 million.
- Confidentiality until demo day: Unlike YC—where buzzy startups often raise funding before the program ends—PearX keeps its participants under wraps until the main event.
TechCrunch attended PearX's latest demo day in San Francisco last week and spoke with VCs about which companies stood out among the 16 startups in the batch. Here are five that generated the most buzz.
Speridlabs
What it does: Spatial foundational models for powering robotics, gaming, and special effects.
Why it stood out: Speridlabs is far from the only startup building world models to do for 3D space what LLMs did for language. But it argues that more established competitors—including Runway, Odyssey, and Google's Genie—cannot be queried or modified. To address that gap, Speridlabs built Mundus, which it calls a "3D Midjourney" because its geometry remains persistent even when individual parts are changed.
Saia
What it does: Building a fast, cost-efficient chip that runs inference directly on device.
Why it stood out: Nvidia's GPUs and Google's TPUs require expensive, power-hungry memory that is currently in short supply. Saia claims to have designed a chip that bypasses traditional memory by running AI directly out of flash storage. The startup says its chip delivers vastly superior speeds and eight times the capacity while using four times less power than Nvidia's Jetson, a leading local AI chip and board.
Saia says it is already in discussions with Samsung regarding memory integration, plans to start fabricating test chips next year, and aims to launch mass production by 2028. Hardware is notoriously brutal to build, but 20-year-old founder Ayaan Govil managed to convince Pear VC co-founder Mar Hershenson—a semiconductor engineer with a PhD in circuit design—to take a chance on his vision.
Ren
What it does: A more secure AI personal assistant.
Why it stood out: Ren claims to offer functionality similar to Muse and Instinct, but with a heavy emphasis on security and privacy. The startup says it keeps data on-device where possible or uses a secure private cloud, checking every action against strict user-defined guardrails. [Article continues—remaining startups not included in source excerpt.]