HomeSubnetsRecaps

Community

  • Twitter
  • Discord

Contact

  • contact@simplytao.ai

Page sections

  • Home
  • Subnets
  • Recaps

© 2026 SimplyTao Inc. All rights reserved.

Back to Home
Vidaio (SN85): Next-Generation Video Processing Powered by AI
AI model

Vidaio (SN85): Next-Generation Video Processing Powered by AI

Published December 30, 2025

Vidaio is a next-generation, decentralized video intelligence platform that harnesses distributed AI compute to upscale and optimize video content at scale.

Built within the Bittensor ecosystem, it replaces traditional, centralized video pipelines with an open network where advanced models and GPU resources collaborate to deliver high-quality video enhancement efficiently, transparently, and without single points of control.

Core Video Intelligence Capabilities

Video Compression

First, Vidaio leverages AI-driven compression techniques to significantly reduce video file sizes while preserving visual fidelity. At the same time, it optimizes bitrate efficiency without sacrificing perceptual quality. As a result, the platform enables faster delivery, lower storage costs, and smoother playback across networks and devices.

Video Upscaling

To begin with, Vidaio applies advanced AI upscaling models to enhance video resolution and clarity. As a result, lower-quality footage is transformed into high-definition outputs. In addition, the process restores detail, sharpness, and visual consistency, making legacy or bandwidth-constrained content suitable for modern, high-resolution viewing experiences.

Incoming functions

In the future, Vidaio aims to evolve into a fully decentralized video streaming infrastructure. To achieve this, it builds on its AI-powered compression and upscaling capabilities. As a result, the platform will support adaptive, real-time streaming that intelligently optimizes video quality and bandwidth across devices and network conditions. Ultimately, this approach delivers high-performance streaming without reliance on centralized providers.

Who Is Behind The Project?

Vidaio is powered by a diverse team of experienced leaders, engineers, and designers focused on advancing decentralized video AI. Led by Gareth Howells, a veteran of the video industry, the team combines deep expertise in machine learning, video technology, subnet development, product design, and frontend engineering. With contributions from Dr. Ahmad Ayad, Gopi Jayaraman, Bruhvatar, William McCrea, Chinaza, Akin, and strategic guidance from Marcus (mogmachine) Graichen, Vidaio brings together technical excellence and creative vision to build scalable, decentralized solutions for video compression, upscaling, and future streaming infrastructure.

This blend of technical depth and creative vision drives Vidaio’s development of decentralized AI video compression and upscaling solutions on the Bittensor network, ensuring both high performance and real-world utility.

Try Vidaio here

Subnets Today

All subnets
Bitsec.ai
Bitsec.aiSN60
+10.37%
Targon
TargonSN4
+3.54%
deprecated
deprecatedSN39
+3.09%
lium.io
lium.ioSN51
+2.96%
Swarm
SwarmSN124
+2.31%
affine
affineSN120
+1.93%
Zeus
ZeusSN18
+1.39%
Iota
IotaSN9
+0.57%

Updated 05:00 UTC · 30 min ago

Categories

HardwareBittensorLawNewsStartupsAI modelPolicyEducationFutureTechSubnetSimplyTaoWeeklyGuide

Related Articles

Claude Code Review - Let AI Find the Bugs You Overlook
AI model

Claude Code Review - Let AI Find the Bugs You Overlook

Claude Code Review uses a multi-agent system to catch bugs on every PR. Now in research preview for Team and Enterprise plans.

Mar 10, 2026
Claude Code COBOL: How AI Wiped $40B Off IBM in One Day
AI model

Claude Code COBOL: How AI Wiped $40B Off IBM in One Day

Claude Code COBOL capabilities triggered IBM's worst stock crash in 26 years. Here's how Anthropic's AI threatens IBM's mainframe empire.

Feb 26, 2026
New AI model from Google: Gemini 3.1 Pro
AI model

New AI model from Google: Gemini 3.1 Pro

This article examines what Gemini 3.1 Pro adds, and how the improvements show up in benchmarks and real-world use. Learn more now.

Feb 20, 2026