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Published

Industry
AI, B2B
Headquarters
London, UK
Employee Count
2
Year Founded
2024
Amount raised
$1M
Business model
B2B; $99 per unit plus $1 per 10 hours of transcription (monthly recurring)
Early traction
300+ on waitlist, 45 beta testers across two enterprise pilots, average tester usage 7.2 hours per day (~2,600 hours per year)
Investors

Investors: Techstars, angel investors

Setting the Scene

  • Throughout a busy workday, professionals juggle countless conversations from scheduled meetings to spontaneous hallway chats and client visits.

  • Amid the pace and volume, recalling every detail can be a challenge.

  • In high stakes fields like consulting, pharma, and manufacturing, these unrecorded moments don’t just cost clarity, they can cost billions in missed opportunities, rework, and inefficiency.

  • This week’s company is building a product to ensure no in-person conversation during the workday falls through the cracks.

In a Sentence

Rice is an offline-first wearable AI that captures in person conversations, transforming them into transcriptions and action items.

  • Offline Wearable: A discreet necklace device that records and processes conversations entirely offline, ensuring privacy and security without sending data to third parties.

  • AI: Transcribes speech in real time, identifies key points, and generates actionable next steps for use cases like client meetings, field work, sales calls, team check-ins, and brainstorming sessions across industries from consulting to manufacturing.

Bulleted Version

Think of Rice similar to your AI note-taker via Zoom, but built for the real world.

Due Diligence

What We Like

  • Market Opportunity: Poor communication and lost context are persistent issues across industries, leading to inefficiency, missed opportunities, and costly rework in the business world.

  • Privacy and Security Differentiator: Unlike other AI wearables, hardware-level encryption, offline-first processing, and built-in consent management create a trust moat.

  • Built for Enterprises: Rice’s devices are designed specifically for organizational workflows rather than repurposed consumer hardware, such as phone-based voice notes, allowing deeper integration and adoption.

Potential Risks

  • Hardware Manufacturing and Scaling: Producing and distributing physical devices can be capital and time intensive.

  • User Adoption Curve: Convincing organizations to change behavior and get employee buy-in to wearing and regularly using a device may slow initial adoption.

  • Industry Difficulty: The wearable hardware space remains unproven, with consumer-focused attempts like the Humane AI Pin failing to gain traction due to poor performance, overpromising, and early discontinuation.

Founder Profile

AP
Anil Peri, CEO
Serial founder who built and exited his first AI company at just 19.
SD
Shankha Dutta, CTO
Machine learning engineer with deep technical expertise in on-device processing and systems optimized for privacy, low latency, and offline use.

Comps

  • Omi: Raised $2.7M from Tim Draper. Consumer-focused AI wearable without hardware-level encryption, leaving data privacy concerns unresolved.

  • Limitless: Raised $27.9M from Andreessen Horowitz. Primarily software-based meeting assistant, optimized for online settings rather than in-person interactions.

  • Bee: Acquired by Amazon. Built general-purpose AI hardware, not purpose-built for conversation capture in enterprise environments.

  • Friend: Raised $7.9M from Pace Capital. Social AI platform, not targeting enterprise conversation capture.

WhyRice

By pairing enterprise-grade privacy with offline-first AI in a wearable built for real-world conversations, Rice has the potential to own the conversation around AI wearables.

*Nothing in this content constitutes investment or legal advice. Conduct independent diligence and consult professional advisers before making investment decisions.*

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