Funding
Funding not disclosed
Founders
Product
Problem
AI applications and agents often lack a seamless way to store and access user context from previous interactions, hindering personalization and the ability to provide tailored experiences. Existing backend solutions may not scale efficiently for applications requiring a dedicated data store per user, especially in scenarios involving numerous AI apps and agents. Managing user data across different applications also presents challenges related to security, compliance, and data ownership.
Solution
Basic provides a purpose-built backend solution designed for AI applications and agents, offering a federated model that spins up a dedicated datastore for each user. This approach allows developers to read and write data directly to user datastores using simple SDKs and APIs, enabling secure, real-time access to user context across different applications. Basic replaces traditional databases by providing zero-infrastructure requirements, built-in authentication and permissioning, and portable, per-user datastores for deep personalization. The platform facilitates the creation of personalized applications and agents by enabling developers to focus on function rather than managing complex data infrastructure.
Target Audience
The primary target audience includes developers building AI applications and agents, AI app/agent builders, developers of AI wearables, and those embedding AI into existing applications.
Features
- Federated, per-user data stores that provide data portability across applications
- Real-time data access across schemas, enabling sharing of user context across apps
- Built-in authentication and permissioning with role-level security (RLS) by default
- SDKs and APIs for reading and writing data directly to user data stores
- Zero infrastructure requirements, eliminating the need for database provisioning
- Support for React, React Native, and REST APIs, with a roadmap for Python, iOS, and Android
- Admin panel for project creation and management