Investment Memo · EV3 Ventures
Investment thesis
EV3 believes Rumi can use DePIN playbooks to scale to millions of homes and build a 3-sided network effect stronger than Nielsen's.
Using DePIN scaling playbooks, we believe Rumi can reach millions of homes and achieve better, more statistically-significant benchmarks than Nielsen, ultimately creating 3-sided network effects between ad buyers (brands), ad sellers (content distributors), and AI agent developers.
Product
Rumi is a decentralized video indexing network that utilizes edge ML browser extensions to create context-rich text annotations for AI agents.
Rumi is a decentralized video indexing network. Users (miners) run Rumi’s browser extension while watching videos on streaming platforms like Netflix or Youtube. The extension uses edge ML to produce context-rich text annotations.
Rumi's audio fingerprinting technology identifies video content with under 1 second latency and over 98% accuracy using a 400ms audio clip.
Rumi’s team has spent the past two years, prior to incorporating the company, developing audio fingerprinting technology that is able to identify what a user is watching and how far into the video they are with very low latency (<1s) and high accuracy (>98%) with only a 400ms audio clip
Investment context
EV3 is co-leading a $4.7 million pre-seed funding round for Rumi alongside a16z CSX.
EV3 is co-leading Rumi’s $4.7m pre-seed round alongside a16z CSX.
Source and provenance
Investment Memo published by EV3 Ventures on ev3.xyz. Read the original
