About
$VISION: Vision is blending decentralized physical infrastructure (
#DePIN), open vision AI model training (
#AI), and tokenized incentives into a unified platform targeting the next generation of edge AI.
The team appears to have deep experience in high performance systems and machine vision, hinting at backgrounds with Oracle, Meta, and Tesla. A full dox is expected once their flagship SaaS product (VisionHost) goes live.
VisionHost itself is built on a centralized AI perception platform already in use by governments for applications like surveillance and waste management.
The team claims to have full IP ownership and is now converting this proven technology into a Web3 native version, leveraging their decentralized compute layer (VisionNodes).
This gives them a rare combination of real-world deployments, ownable tech stack, and token-aligned decentralization. Find me another project with this combination.
The real question lies in execution and integrity:
Can they build a secure, scalable, and reusable infrastructure for global visual AI training?
Can they attract sufficient data providers, validators, and compute to rival or complement traditional AI pipelines?
Are they who they say they are?
Their documentation and telegram interactions suggest a team that understands both AI model operations and Web3.
Chart:
dexscreener.com/ethereum/0x5…
RSI is near oversold which worked out well earlier in July, MACD is bearish, price is below 9 day MA which does not install a lot of confidence but there a potential for near-term recovery.
t.me/CyOpNewEra/22922
Analysis powered by
$CyOp
website:
openvisionresearch.com/
yellowpaper:
openvisionresearch.com/yello…
whitepaper:
openvision-2.gitbook.io/whit…
telegram:
t.me/openvisionresearch
twitter:
x.com/useopenvision