ビッグデータから
インテリジェンスの時代へ

今日、クラウドベースのビッグデータAIシステムは、
プライバシー/レイテンシー/電力消費という大きな課題に直面しています

The Problem

Of existing AI Platform

Privacy

Existing Big Data & AI platforms can’t learn without uploading data.

Latency

Big Data can’t be uploaded at once, making real-time computing an impossibility or slowness.

Energy

Transferring & processing big data in centralized clouds consumes massive amounts of energy.

Cost

Utilizing big data centers and huge computation resources leads costly operation and management.

The Problem

Of existing AI Platform

Privacy -
Ad targeting problem

Big Data & AI platforms can’t learn while simultaneously preserving user privacy.

Apple Kills
IDFA

In early 2021 Apple will automatically opt users out of sharing device IDs (IDFA), disrupting the $80B mobile ad ecosystem

Google Depreciates Cookie

Chrome will join Safari and Firefox in blocking 3rd-Party Cookies in 2022, leaving the industry scrambling for options

The Solution

Reinvent the framework of existing AI

TieSet Inc. is developing a paradigm-shifting AI platform that achieves privacy preserving, only intelligence sharing frameworks which also solve the fundamental problems of high latency and utilizing huge data centers and computation resources. Our customers will significantly benefit from our platform in many ways to realize AI-empowered applications and systems as we can enable new business areas where privacy has been a very serious issue, drastically improve communication and computation efficiencies, and reduce management and maintenance costs of big data systems.

Product & Service

STADLE – The Next Generation AI Platform

Privacy-preserving

AI - data remains at local user devices

Intelligence sharing

with decentralized federated learning - not collecting big data

Auditable

architecture providing AI forensics

Scalable

for more than 10K devices in minutes

5G friendly

edge-computing empowered

Want to achieve 100% Data Privacy, Low Latency (1/10000 in transferred data) and No Centralized Power Consumption ?
Use Cases

Privacy-Safe Ad Targeting Intelligent Dynamic Ad Delivery for the Cookieless Future

TieSet’s patented Decentralized Federated Learning framework enables intelligent ad targeting, without dependence on identifiers like the cookie or mobile device ID. User data stays with the owner, training models on the edge device, and only resulting intelligence is shared.

Consumer sentiment is driving a privacy revolution, with regulations gaining momentum worldwide, and major platforms responding by removing identifiers or requiring users to opt-in to identification. Publishers report earning only 50-70% CPMs on anonymized traffic compared to impressions with a cookie, but by 2022, no major browsers will continue supporting this outdated technology. In the mobile ecosystem, Apple is already moving to automatically opt users out of sharing the IDFA (Identifier for Advertisers), on which app campaign targeting relies.

Such changes in the ecosystem tend to drive more dollars toward the walled gardens, but independent players can compete. Continue driving top CPMs for publishers by delivering the results advertisers expect in a sustainable, ad-supported, privacy-protected internet.

Smart Robotics Learning Robotic manipulation from distributed robotic arm clusters using Federated Learning.

Grasping and manipulation in robots require extensive data from the real world of objects with different shapes and sizes and from various environments. In the current approach, robotic arms acquire grasping data in a single facility to train a centralized model. (e.g. Google Robotic Farm) While this approach leads to good results, acquiring data is time consuming and expensive resulting in a non-scalable process for a single company (e.g. Amazon), so this framework does not make general manipulators better. We propose to use Federated Learning to decentralized the learning of such robots.

WE’RE INNOVATORS IN AI & DISTRIBUTED SYSTEMS

Our Team

Kiyoshi Nakayama

Founder & CEO and Chief Scientist.

Genya Ishigaki

Principal Architect

Jose Barreiros

Research Scientist

Ibrahim Ahmed

Research Scientist

Zahra Askarzadeh

Research Engineer

Samira Zare

Research Engineer

Steven Zhang

VP of BD in US
Co-founder of UpChannels

Colleen Northcutt

VP of Marketing in US
Co-founder of UpChannels

Andrew Fu

Executive assistant

Partners

BLOG

Latest Updates

May 27, 2020
Lorem ipsum dolor
QuantumPoster via monter pert Lorem ipsum quantumomni posterati Lorem ipsum dolor sit amet CONSEPTO onsectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore […]
May 28, 2020
Quantum pert via mito
QuantumPoster via monter pert Lorem ipsum quantumomni posterati Lorem ipsum dolor sit amet CONSEPTO onsectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore […]
May 28, 2020
Pest vor pertro virae Ascentumviro
Quantum Poster via monter pert Lorem ipsum quantum omni posterati Lorem ipsum dolor sit amet CONSEPTO onsectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore […]
May 28, 2020
Mauris rhoncus magna
Quantum Poster via monter pert Lorem ipsum quantum omni posterati Lorem ipsum dolor sit amet CONSEPTO onsectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore […]
May 28, 2020
Mauris id ex sed neque
Quantum Poster via monter pert Lorem ipsum quantum omni posterati Lorem ipsum dolor sit amet CONSEPTO onsectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore […]
May 28, 2020
Proin quis lorem in
Quantum Poster via monter pert Lorem ipsum quantum omni posterati Lorem ipsum dolor sit amet CONSEPTO onsectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore […]