MindScriber Is Wiring a Decentralized Brain for 18,000 Trial Users

A San Francisco startup is betting its neuroadaptive AI framework can scale learning through on-device agents and Web3 smart contracts.

About MindScriber

Published

Eight people in San Francisco are building a sentient AI framework for your brain. Their claim, unverified by independent press, is that it can enhance memory by 400% during sleep. The company is MindScriber, and its co-founders, Igar Dyachenko and Omer Cohen, are targeting cognitive enhancement and personalized learning.

Their pitch rests on three proprietary systems: the Adaptive Sentient Learning Grid (ASLG) to chart personalized learning pathways, the Quantum-Neuro Bridge (QNB) to consolidate memories during sleep, and the Decentralized Cognitive Infrastructure (DCI) to move AI agents onto user devices, governed by Web3 smart contracts [Perplexity Sonar Pro Brief].

The Wedge: From Cloud to Cortex

The core bet is on decentralization. MindScriber’s DCI concept suggests a shift from cloud-based AI to local, on-device agents. By using blockchain for coordination, the system could operate at a scale cloud infrastructure cannot match while keeping sensitive cognitive data on a user's device [Perplexity Sonar Pro Brief].

Traction Claims and the Team of Eight

The company claims 18,000 participants in trials [Perplexity Sonar Pro Brief]. According to RocketReach, the total headcount stands at eight employees [RocketReach].

Role Name Note
Co-Founder & CEO Igar Dyachenko Active on Devfolio building MindScriber [Perplexity Sonar Pro Brief].
Co-Founder & CTO Omer Cohen Full-stack developer based in Israel [LinkedIn].

The Credibility Gap

The company operates in a credibility-sensitive zone where neuroscience meets AI, compounded by a Web3 component. The 400% memory enhancement claim and the 18,000 trial participants are sourced from the company’s own materials and have not been validated by third-party research [Perplexity Sonar Pro Brief]. The business model is listed as SaaS, but it is unclear who pays, for which module, and at what price.

What to Watch in the Next Twelve Months

The next year will be about moving from architectural claims to demonstrable utility. Key signals will be the disclosure of a funding round with a named institutional lead, a published case study with a verifiable enterprise or academic partner, and a clearer articulation of the initial customer and revenue model.

Sources

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