At CETI,  our mission is to accelerate the advancement of decentralized artificial intelligence. In pursuit of this goal, we build globally distributed, high-performance, scalable AI infrastructure for developers and distributed networks that enables them to rapidly outpace the capabilities of reach and centralized AI.

Tao Ceτi

Ethereum

Shiba Inu

Chainlink

UNUS SED LEO

Uniswap

Pendle

FLOKI

Bitget Token

The Sandbox

Worldcoin

Pepe

Render

Maker

Aave

The Graph

GG MetaGame

Medifakt

SpacePi (ETH)

HitBTC Token

dogwifhat

AIOZ Network

Bittensor

Akash Network

Myria

HELLO Labs

Ondo

Centrifuge is a decentralized asset financing protocol. It connects decentralized finance (DeFi) with real-world assets (RWA) while trying to lower the cost of capital for small and mid-size enterprises (SMEs) and provide investors with a stable source of income. The main goal of the project is to generate profits that are not tied to volatile crypto assets; the developers are pursuing the task of transferring real monetary value from fiat to cryptocurrencies.

Companies are using Centrifuge to access the liquidity that DeFi has to offer. They can tokenize real assets and use these tokens as collateral to access financing through Tinlake, a decentralized application (DApp) lending protocol. The Centrifuge blockchain is built on Polkadot (DOT) for speed and low fees, while its financial DApp Tinlake is built to access Ethereum (ETH) liquidity.

Centrifuge provides liquidity to everyone and investors receive income and rewards in the form of CFG tokens. Centrifuge links assets such as invoices, real estate and royalties with decentralized finance (DeFi). Additionally, borrowers benefit from the fact that they can finance their real assets without banks or other intermediaries.

Centrifuge

RenderToken (RNDR) is a distributed GPU rendering network built on top of the Ethereum blockchain, aiming to connect artists and studios in need of GPU compute power with mining partners willing to rent their GPU capabilities out. Conceived in 2009 by OTOY, inc. CEO Jules Urbach and launched in 2017, RNDR held its first public token sale in October of that same year, followed by a private sale period lasting from January 2018 – May 2018, wherein a total of 117,843,239 RNDR were sold at a price of 1 RNDR = $0.25 USD equivalent of token.
During the private sale period, early adopters were onboarded onto the RNDR Beta Testnet, where beta node operators and artists worked collaboratively with the RNDR team in building and testing the network, up until its public launch on April 27th 2020.

Maple

Nakamoto Games

OriginTrail is an ecosystem building a trusted knowledge infrastructure for artificial intelligence. It addresses the challenge of misinformation in the AI era by ensuring the origin of information and enabling discoverability of the world's most important knowledge and real world assets (RWAs).

OriginTrail is creating a Verifiable Web for decentralized AI by empowering world class brands and builders. It utilizes its unique Decentralized Knowledge Graph and OriginTrail Parachain to deliver AI-powered search and solutions for enterprises and individuals worldwide.

OriginTrail has gained support and partnerships with world-class organizations such as British Standards Institution, SCAN, Polkadot, Parity, Walmart, World Federation of Hemophilia, Oracle, and the EU Commission's Next Generation Internet. These partnerships contribute to advancing OriginTrail's trusted knowledge foundation and its applicability in trillion-dollar industries, while providing a verifiable web of knowledge important in particular to drive the economies of RWAs.

The best way to see the technology in action is by checking ChatDKG, which is an experimental, question answering bot on X (Twitter) based on trusted Knowledge Assets in OriginTrail Decentralized Knowledge Graph. The ChatDKG provides answers based on OriginTrail trusted AI.

The Metcalfe phase of the updated roadmap pursues an ambitious goal of creating the world’s largest verifiable web for AI consisting of 100 billion Knowledge Assets, bringing a 100.000x scalability increase. As the name of the phase suggests, it will seek to produce network effects across the OriginTrail DKG and use novel techniques to pursue autonomous DKG growth based on the genesis knowledge foundation being created by organizations and individuals alike. The genesis part of the Metcalfe’s phase also introduces knowledge mining and knowledge signaling capabilities to drive constant growth of the Verifiable Web.

Following the Genesis stage and the transition to an AI-native V8, further capabilities will become available in the Convergence stage. By leveraging the advancements in AI and the DKG, we will unlock autonomous knowledge mining which in turn leads to an autonomous DKG. At that stage, new knowledge gets added to the DKG with very limited human involvement. Services such as AI agents will be performing knowledge inferencing directly on the DKG to find any “blind spots” in the knowledge they can fill as well as search for new knowledge and bring it to the DKG in accordance with knowledge signaling.

OriginTrail

Axelar claims to deliver “secure cross-chain communication for Web3.” The project provides a decentralized network and tools to help builders of decentralized applications (dApps) with seamless cross-chain communication through its protocol suite, tools and APIs.

Axelar features three core components – a decentralized network, a software development kit of protocols and APIs, and a set of gateway smart contracts for cross-chain connectivity.

Powered by a decentralized network of validators, anyone can join the network, build on it, or use it. Apps builders can interact with a simple API atop a permissionless network that routes messages and ensures network security via proof-of-stake (PoS) consensus mechanism.

AXL is the native token of the Axelar network. The protocol also supports the cross-chain transfer of several native tokens via their wrapped ERC-20 versions, including AVAX (Avalanche), ETH (Ethereum), FTM (Fantom), GLMR (Moonbeam), and MATIC (Polygon).

Meanwhile, Axelar has raised capital from top-tier investors, including Binance, Coinbase Ventures, Dragonfly Capital, Polychain Capital and others.

Axelar

Founded in 2017 and launched via IEO on Binance in March 2019, Fetch.AI is an artificial intelligence (AI) lab building an open, permissionless, decentralized machine learning network with a crypto economy. Fetch.ai democratizes access to AI technology with a permissionless network upon which anyone can connect and access secure datasets by using autonomous AI to execute tasks that leverage its global network of data. The Fetch.AI model is rooted in  use cases like optimizing DeFi trading services, transportation networks (parking, micromobility), smart energy grids, travel — essentially any complex digital system that relies on large-scale datasets.

Fetch.ai

WHEN Token

Echelon Prime

SingularityNET is a blockchain-powered platform that allows anybody to easily "create, share, and monetize" AI services, thanks to its globally-accessible AI marketplace.

Through the SingularityNET marketplace, users can browse, test and purchase a huge variety of AI services using the platform’s native utility token — AGIX. Moreover, the marketplace represents an outlet AI developers can use to publish and sell their AI tools, and easily track their performance.

With the benefits of LLMs and generative AI are increasingly exciting, their limitations are also becoming increasingly apparent. The convergence of structured knowledge with neural networks is emerging as the key to overcoming their shortcomings.

Uniquely positioned at the heart of this convergence, SingularityNET will prioritize the integration of Knowledge Graphs (KGs) and comprehensive Neural Symbolic tools for LLMs, with the goal of empowering developers to create the next generation of AI systems on the SingularityNET Platform.

SingularityNET is strategically positioned to become the Knowledge Layer of the Internet, leading the evolution of the emerging AI landscape while also laying the foundations for the Artificial General Intelligence (AGI) of tomorrow.

The team behind SingularityNET pioneered the development of an AI known as Sophia, which is described as the "world's most expressive robot". SingularityNET’s goal is to enable Sophia to be able to fully understand human language, and continue developing “OpenCog” — an AI framework that is hoped to eventually achieve a state known as “advanced general intelligence,” i.e. human-level artificial intelligence (or beyond).

The platform was first announced in 2017 and completed an initial coin offering (ICO) in December the same year, raising $36 million in just one minute.

SingularityNET

The $BEAM token serves as the native crypto asset for the Beam network, a gaming network empowered by the Merit Circle DAO. Beam is an ecosystem where gamers and developers come together to shape the future of the gaming industry. One of its core components is the Beam SDK, which is a flexible software development kit that enables game developers to choose between a variety of tools that can be used to fuel and structure their in-game blockchain elements.

To interact with Beam, $BEAM is required. This is the native crypto asset used within the Beam network to pay for transactions. This not only includes transfers of assets but also involves all interactions with smart contracts on the Beam network, facilitating a seamless, immersive gaming experience.

Besides functioning as a gas token that fuels the Beam network, $BEAM is the heart of the governance of the Merit Circle DAO. This decentralized autonomous organization (DAO) was brought to live in early 2021 to revolutionize the gaming industry. The $BEAM token allows its holders to participate in governance of this DAO.

Beam

Celestia

Kaspa is a proof-of-work (PoW) cryptocurrency which implements the GHOSTDAG protocol. Unlike traditional blockchains, GHOSTDAG does not orphan blocks created in parallel, rather allows them to coexist and orders them in consensus. The Kaspa blockchain is actually a blockDAG. This generalization of Nakamoto consensus allows for secure operation while maintaining very high block rates (currently one block per second, aiming for 10/sec, dreaming of 100/sec) and minuscule confirmation times dominated by internet latency.

The Kaspa implementation includes a lot of cool features such as Reachability to query the DAG's topology, Block data pruning (with near-future plans for block header pruning), SPV proofs, and later subnetwork support which will make future implementation of layer 2 solutions much easier.