Video AI InfiniMind [2026] Created by a Former Google Employee

Video AI Created by Ex-Google Founders: 3 Key Features

  • InfiniMind, founded by two ex-Googlers, secures $5.8 million seed funding
  • Transforms enterprise video data into searchable intelligence
  • Long-term context reasoning to track causality in hours of video

InfiniMind Targets Dark Data in Enterprise Videos

Companies produce vast amounts of video every day, from security cameras and factory monitoring to broadcast archives. Most of it is simply stored and never utilized.[TechCrunch]

InfiniMind creates an AI infrastructure that turns this dark data into structured, searchable data. CEO Aza Kai spent 9 years at Google in ML infrastructure, and COO Hiraku Yanagita led data solutions at Google Japan for 10 years.[InfiniMind]

AI That Understands Hours, Not Just 30 Seconds

The core technology is long-term context reasoning. Unlike typical video AI that analyzes in 30-second intervals, it tracks causality in hours of video. It transforms video into structured data that can be queried with SQL and supports concept-based semantic search.[InfiniMind]

$5.8 Million Seed and Product Roadmap

They received $5.8 million in seed funding led by UTEC. Headline, CX2, and Chiba Dojo also participated.[TechCrunch]

They are currently operating TVPulse, a TV broadcast analysis product, and plan to launch DeepFrame in Q2 2026. They have analyzed over 100,000 hours of video and claim to offer a quarter of the cost of existing solutions. They are also participating in the AWS Generative AI Accelerator and NVIDIA Inception.[InfiniMind]

Frequently Asked Questions (FAQ)

Q: How is it different from existing video analysis?

A: Typical video AI only looks at short segments. InfiniMind tracks causality over hours and transforms video into SQL-structured data. It also provides industry-specific analysis with concept-based search and domain-specific adapters.

Q: Who are the main customers?

A: The target is media/broadcasters, retail, security/defense, and logistics/manufacturing. Broadcasters use it for archive search, manufacturers for defect detection, and retailers for store analysis.

Q: What about data security?

A: It supports VPC and air-gap deployment. It can operate independently within the company’s internal infrastructure, eliminating concerns about video data leakage. It is a structure suitable for companies that value data sovereignty.


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