Seshat provides a low-latency blockchain data platform that automates the ingestion and processing of on-chain data for real-time predictive analytics in decentralized applications. This solution enables developers to efficiently create and manage data pipelines, enhancing model training and inference while ensuring data integrity and security.
Funding
$200K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Developing real-time predictive analytics for decentralized applications (dApps) requires complex data pipelines to ingest and process on-chain data. Managing these pipelines, ensuring data integrity, and minimizing latency can be challenging and resource-intensive for Web3 developers.
Solution
Seshat provides a trustless protocol for decentralized machine learning dataflow, automating the ingestion, transformation, and serving of on-chain data for real-time predictive features. The platform streamlines the creation and management of data pipelines, enabling developers to deploy predictive models with minimal code and effort. Seshat orchestrates existing storage and processing infrastructure, ensuring data integrity and scalability without requiring developers to build and maintain custom solutions.
Target Audience
Seshat targets Web3 developers building decentralized applications (dApps) who need real-time predictive analytics capabilities.
Features
- Automated data pipelines for ingesting and processing on-chain data
- Real-Time Predictive Engine (RPE) for low-latency model inference and dynamic predictions
- Training Dataset Engine (TDE) for preparing Web3 data for predictive feature development
- Pre-built Web3 models to accelerate development
- Dual-Engine Predictive System for transforming, storing, serving, and monitoring predictive feature values in real-time
- Seamless integration with existing storage and processing infrastructure