
Onaji
The machine learning platform designed for smart contract blockchains.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor | €0.0 | round |
* | $2.5m | Seed | |
Total Funding | 000k |
Related Content
Onaji operates as a machine learning platform specifically designed for smart contract blockchains. Founded in 2021 by Richard Calland, the Dover, Delaware-based company develops and deploys machine learning pipelines on the Ethereum network. The core of its business is providing an infrastructure that enables the creation and operation of intelligent algorithms capable of interacting directly with blockchain applications. This includes decentralized exchanges, lending protocols, and NFT marketplaces.
The company's technology is geared towards trader intelligence, utilizing machine learning to contextualize digital assets and anticipate market movements and individual trader behaviors. Its platform provides clients with AI-driven search, recommendation, and personalization algorithms for Web3 content such as NFTs and dApps. Functionalities include access to real-time and historical data, model training, back-testing simulations, and production deployment with monitoring dashboards. The ultimate goal is to empower users, from small to large-cap altcoin traders, to make more informed buying and selling decisions.
Onaji's business model is centered on providing this specialized machine learning infrastructure as a service. The company has secured funding from institutional investors, including a pre-seed round of $2.5 million in July 2024, led by Stratos and with participation from Maven 11, Uniswap Labs Ventures, and IOSG Ventures. The team behind Onaji is composed of professionals with backgrounds in machine learning, data engineering, and smart contract development, with prior experience in sectors like digital commerce and autonomous driving.
Keywords: machine learning, blockchain intelligence, smart contracts, Web3, crypto asset analysis, decentralized finance, DeFi, trader intelligence, NFT search, dApp personalization, Ethereum, on-chain data, algorithmic trading, market movement prediction, crypto data platform, Richard Calland, Maven 11, Uniswap Labs Ventures, Stratos