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What does it do?

  • Data Integration
  • Customer Data Management
  • Real-Time Context
  • Personalization
  • Secure Data Storage

How is it used?

  • Use API to link data sources
  • retrieve context
  • generate responses.
  • 1. Add button for data connection
  • 2. Retrieve context thru API
See more

Who is it good for?

  • AI Developers
  • Enterprise Software Teams
  • Personalization Specialists
  • Customer Data Managers
  • AI-Powered App Builders

Details & Features

  • Made By

    SID
  • Released On

    2023-10-24

SID is a comprehensive platform that simplifies the integration of customer data into AI applications. It provides a fully-hosted data ingestion, storage, and retrieval pipeline, delivering natural-language insights quickly and efficiently for AI developers seeking to enhance their applications with real-time context and personalized responses.

Key features:

- Single API Call Integration: Integrate customer data into Large Language Model (LLM) applications with one API call.
- Fully-Hosted Pipeline: Manages data ingestion, storage, and retrieval processes.
- Real-Time Context API: Improves AI app responses by providing necessary context, reducing hallucinations and irrelevant responses.
- Secure and Compliant Data Handling: Manages authentication and permission flows for each data source, ensuring data security, compliance, and privacy.
- Rapid Response Times: Delivers insights in less than 200ms for a smooth user experience.
- High Availability and Scalability: Designed to handle millions of users.
- Custom, Self-Hosted Models: Ensures data privacy and fast performance, answering 99% of requests in under 200ms.
- Simple Integration: Enables AI app setup in less than an hour without ML/AI experience.
- Maintenance-Free: SID maintains and updates integrations, even when external services change.
- Banking-Grade Security: Keeps data private and secure without third-party provider access.
- Enterprise Readiness: Suitable for adding AI to existing products or building AI-first experiences.
- Personalization: Customizes LLM app responses with specific user data.
- Flexible Data Source Integration: Supports various data sources and offers custom integration development at no extra charge.

How it works:

1. Users connect their data sources through a button in the app.
2. SID's API retrieves the necessary context for user queries.
3. The context and user query are passed to an AI model to generate a response.

Integrations:

Google Drive, Notion, Dropbox, Salesforce, Slack, Google Mail

Use of AI:

SID integrates with generative AI models like OpenAI's GPT-4 to generate responses based on the context retrieved from user data, ensuring personalized and relevant outputs.

AI foundation model:

SID leverages models such as OpenAI's GPT-4 for generating responses based on user data context.

Target users:

- AI developers integrating customer data into applications
- Enterprises requiring secure, scalable, and compliant data integration solutions
- Teams building AI-first experiences or adding AI capabilities to existing products

How to access:

SID is available as an API for developers and enterprises to integrate into their applications and systems.

  • Supported ecosystems
    Notion, Google, Notion, Google Drive, Google, Google, Notion, Slack, Meta (for Google Mail which is part of Google Workspace)
  • What does it do?
    Data Integration, Customer Data Management, Real-Time Context, Personalization, Secure Data Storage
  • Who is it good for?
    AI Developers, Enterprise Software Teams, Personalization Specialists, Customer Data Managers, AI-Powered App Builders

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