LIFT's AI Agents utilize proprietary models to extract real-time data from streaming content, including sports and gaming, enabling businesses to gain actionable insights at scale. This technology reduces the cost of data extraction by up to 90% while increasing the volume of inferences collected by tenfold, addressing the inefficiencies of traditional analytics methods.
Funding
Funding not disclosed
Founders
Product
Problem
Existing analytics methods for streaming content, such as sports and gaming, are often inefficient and costly, limiting the ability of businesses to extract and utilize real-time data at scale. Traditional programmatic analytics struggle to keep pace with the volume and velocity of data generated by these dynamic content streams.
Solution
LIFT provides AI Agents that leverage proprietary models to extract real-time data from streaming content, including sports, interactive video, social content, and games. This enables businesses to gain actionable insights and trigger actions in their applications based on real-time events detected within the content. LIFT's platform reduces the cost of data extraction while increasing the volume of inferences collected, facilitating mainstream adoption of AI vision at scale. The platform includes LIFT Studio, which allows non-technical users to train and deploy AI agents optimized for various content types.
Target Audience
The primary target audience includes businesses in the sports, gaming, social media, and streaming industries seeking to extract real-time insights from content, as well as Web3 developers looking to build applications powered by real-time data feeds.
Features
- AI Agents that extract data from real-time content using proprietary AI models
- Low-code LIFT Studio platform enabling non-technical users to train and deploy AI agents
- Real-time event detection and triggering of actions in external applications
- zkEVM chain (LiftChain) designed for turning content into data at scale
- Decentralized storage across an incentivized edge network of nodes (DataGrid) secured by a dual restaking mechanism using the $LIFT token
- Decentralized AI compute layer powered by trustless and transparent ZK machine learning models
- Cross-chain oracles for interacting with content and powering smart contracts
- Streaming API for real-time intelligence
- Modular node design allowing users to toggle between AI, ZK, Storage, and Coordination modules