The World's First AI Oracle for Blockchains

Decentralized Finance

AI models can not only learn patterns from past data to predict returns and minimize risk but also eliminate human error and psychological factors in investment and trading practices. Additionally, the responsiveness of AI models can provide 24/7 coverage with frequent performance upgrades. With permanent and transparent logs of deployed strategies and outcomes on blockchains, customer trust is greatly enhanced.

Big Data and IoT

AI models greatly benefit from the large amounts of data generated by the Internet and IoT. Both on-chain and off-chain, AI models receive the data to analyze, recognize patterns, and support decision making. Consequently, decentralization can enhance anomaly detection, failure point detection, object network analysis, flow recognition, privacy infringement detection, integrated analysis, and more.

Enterprise and Manufacturing

Database administrators can use Oraichain to standardize deployment of integrity constraints to produce more structured data schema with Blockchain and utilize AI models to increase efficiency, automatically monitor manufacturing, and detect defects. Real-time sharing data with untampered maintenance will significantly reduce managing costs and even generate revenue via log data monetization.

Security

Accessing cryptocurrency wallets by private key exclusively has inherent risks, ie. stolen or lost passwords. AI can provide many advanced recognition and authentication methods. Connecting multiple points of identification and biometrics (face, fingerprint, finger vein, retina and iris or voice) will increase accessibility, protection, and prevent theft. One person, one Identity. Moreover, AI can analyze behavior logging, trading patterns, and browsing history to create an individual's crypto profile, allowing users to always know which information is used where and when, protected by the certainty of blockchain.

Healthcare

AI will be the gatekeeper to a universal database of healthcare information on blockchains, granting & monitoring access, and effective use of information. With comprehensive patient history and a network of medical practitioners, AI can accelerate treatment workflows and improve patient experience by predicting diagnosis, treatment, prognosis, and outcome.

Academia

AI models can help build personalized curriculum, transform content making, flag potential plagiarism, and enhance the peer review process. By securing transcripts, degrees, and achievements across many blockchains, AI can give students a smoother transition from university to the job market.

NFT

Use AI models to simply create artwork, guarantee uniqueness and originality of digital assets, and directly issue copyright on blockchains. With Oraichain, both content creators and AI providers receive royalties for their work, ensuring both the artists and the tool-makers are rewarded for their contribution.

Insurance

Leveraging big data from both on-chain and off-chain sources, AI will help create insurance profiles that can be used to validate qualification, screen for fraud, and predict payout. AI models can even help traditional insurance companies in policymaking and rebate timing.

Global Logistics

AI models will optimize delivery routes, productivity, and improve safety. Decentralization to standardize communication of data between parties. With blockchain and AI, latency caused by third-party providers can be removed to build a more trustful and efficient logistical system.

Job Market

Blockchain helps store individual identities while AI improves the hiring process with automated screening tests and proficiency evaluation sheets in order to find the best candidates for the job market. With AI and Blockchain, employers ensure that the right person is working the right job for them, without bias and discrimination, while the job market becomes more transparent and equitable.

AI Marketplace

Training datasets, test cases, AI solution descriptions, system architectures, training model source codes in many programming languages, user interface designs, system logs, usage data, API publishing, application hosting, and many more: All in one place. Available for exchanging, trading, and integrating into Oraichain’s AI Oracles.

Data Hub

Integrated with the Labeling Hub, the Data Hub is used to organize, preprocess, and standardize data for training and testing purposes. AI providers can create data lakes and data warehouses, for both off-chain and on-chain applications.

Labeling Hub

A crowdsourcing platform to annotate and create quality datasets for training and testing AI models. The Labeling Hub is also equipped with several AI models to evaluate the integrity and trustworthiness of the annotated data. Data labelers not only receive one-time payments but also are able to specify settings to receive royalties whenever the annotated data is used in the future.

Request Hub

A solution-driven, collective-knowledge platform streamlining the needs of an individual or enterprise and offering solutions designed by the AI practitioner community. Once the request is filled, it automatically calls for solution design, dataset creation, model training, and other services in order to produce the best solution. A recommendation module provided by Oraichain will suggest similar solutions, datasets and models to fit each request and achieve the best possible outcome.

Publisher Service

Oraichain provides computing infrastructure, including CPUs and GPUs, to publish AI models into running APIs, regardless of programming languages, which will be standardized and consumed by AI Oracles. Users can also lend their GPU resources through the staking mechanism to participate in the Oraichain network and earn rewards.

DApp Hosting

Whether building on the Oraichain Super Dapp platform or using cloud-based hosting to publish, Oraichain provides the tools to complete your project. Dapps can utilize Oraichain’s native wallet to provide payment methods and benefit from AI-related services in the ecosystem. This liberation will encourage developers to spend more time on the business model and programming logic.