
Quick Look: 5 New Crypto AI Projects from the Variant Demo Night
TechFlow Selected TechFlow Selected

Quick Look: 5 New Crypto AI Projects from the Variant Demo Night
Unlocking new models of personal data ownership, composability, and capital formation and monetization driven by Crypto x AI.
Author: J.Hackworth
Compiled by: TechFlow
Last week at the second Crypto x AI Demo Night hosted by @variantfund, five teams presented their visions for the future—ranging from AI agents with "memory," decentralized model training, to new possibilities for autonomous investors.
Here’s an overview of their innovations.

1. plastic_labs
Project Overview
Demonstrated Honcho, a personalized AI tool powered by memory that unlocks personalization across all applications.
In the demo, Honcho leveraged Coinbase's x402 payment protocol, enabling others to pay directly to access insights and memories from your AI agent.

2. livylabs
Project Overview
In a world flooded with AI noise, @livylabs aims to be the solution for verifying truth.
@saugardev demonstrated how zero-knowledge proofs (ZK Proofs) can verify content authenticity, prove provenance, and defend against deepfakes, paving the way for a trustworthy information future through cryptography.

3. plutolabs_
Project Overview
@devloper_xyz showcased @plutolabs_'s AI agents capable of securely accessing user accounts and navigating the web via trusted execution environments (TEEs).
Pluto enables agents to perform tasks and collect data on behalf of users without exposing sensitive information, thereby building trust among parties.

4. AIDEN
Project Overview: Marc Andreessen believes venture capital (VC) will be the last profession automated by AI, but @tributelabsxyz's AIDEN disagrees.
@pridesai explained how AIDEN conducts due diligence (DD), performs valuation analysis, and interacts directly with founders to provide investment recommendations for DAO members.

5. flwrlabs
Project Overview
@WilliamLMnz introduced @flwrlabs's federated learning platform, which supports decentralized model training across independent data owners while preserving privacy.
He specifically highlighted Collective-1, the first model trained on @vana's data DAO architecture.

Thank you to all presenters and attendees!
Through these demos, we’ve seen how Crypto x AI is driving personal data ownership, composability, and new models for capital formation and monetization.
Join TechFlow official community to stay tuned
Telegram:https://t.me/TechFlowDaily
X (Twitter):https://x.com/TechFlowPost
X (Twitter) EN:https://x.com/BlockFlow_News












