.border-primary {
    --tw-border-opacity: 1;
    border-color: rgb(var(--primary) / var(--tw-border-opacity));
    margin-bottom: 2px;
    border-bottom-width: 0.1875rem;
}

#topbar-cta-button a {
    display: flex;
    align-items: center;
    padding: 0.475rem 1rem !important;
    gap: 0.5rem;
    color: #fff !important;
    border-radius: 0.25rem;
    font-weight: 500;
    letter-spacing: 0.4px;
}

AI Squared

Architecture Overview

Multiwoven Protocol

Technical Stack

Sync States

Overview

Release Process

Commit Message Guidelines

Contributor Code of Conduct

Slack Code of Conduct

Learn what AI Squared is, who it's for, and how it helps businesses integrate AI seamlessly into their workflows.

Introduction to AI Squared

Learn how to create an account, manage workspaces, and define user roles and permissions in AI Squared.

Setting Up Your Account

Explore the AI Squared dashboard, including reports, sources, destinations, models, syncs, and data apps.

Navigating AI Squared

Learn how to create a new workspace, manage settings and workspace users.

Workspace Management

Introduction

How to connect and configure a hosted AI/ML model source in AI Squared.

Adding an AI/ML Source

Anthropic Model

Open AI Model

Google Vertex Model

WatsonX.AI Model

Guide on how to configure the HTTP Model Connector on the AI Squared platform

HTTP Model Source Connector

AWS Bedrock Model

Understand what AI Modeling means inside AI Squared and how to configure your models for activation.

Learn how to connect and configure an AI/ML model as a source for use within the AI Squared platform.

Connect Source

Define and configure the input schema to structure the data your model receives.

Input Schema

Configure transformations on input data before sending it to your AI/ML model.

Preprocessing

Define how to handle and structure your AI/ML model's responses.

Output Schema

Understand what Data Apps are and how they help bring AI into business workflows.

Step-by-step guide to building and configuring a Data App in AI Squared.

Create a Data App

Learn how to embed Data Apps into tools like CRMs, support platforms, or internal web apps.

Embed in Business Apps

Learn how to collect user feedback on AI insights delivered via Data Apps.

Feedback

Understand how to monitor and analyze user engagement and model effectiveness with Data Apps.

Data Apps Reports

How to connect and configure a business data source in AI Squared.

Adding a Data Source

SQL Editor for Data Modeling in AI Squared

SQL Editor

Table Selector

Full Refresh syncs replace existing data with new data.

Full Refresh

Incremental sync only transfer new or updated data, minimizing data transfer

Incremental

Incremental Cursor Field sync transfers only new or updated data, minimizing data transfer using a cursor field.

Incremental - Cursor Field

Learn how to access and use AI Squared's fully managed cloud deployment.

Cloud (Managed by AI Squared)

SOC 2 Type II

Data & AI Integration

Model Configuration

Data Apps

Deployment & Security

Billing & Account

Home

Getting Started

AI Activation

Data Movement

Support & FAQs

Product Updates

Back to App

Book a Demo

Docker

Environment Variables

Helm Charts	

AWS EC2

AWS ECS

AWS EKS (Kubernetes)

Google Cloud GKE (Kubernetes)

Google Cloud Compute Engine

Azure AKS (Kubernetes)

Azure VMs

Digital Ocean Droplets

Digital Ocean Kubernetes

Heroku

OpenShift

2025 releases

January 2025 Releases

Release updates for the month of February

February 2025 Releases

2024 releases

May 2024 releases

June 2024 releases

July 2024 releases

August 2024 releases

Release updates for the month of September

September 2024 releases

October 2024 releases

Release updates for the month of November

November 2024 releases

Release updates for the month of December

December 2024 releases

Amazon Redshift

Snowflake

Google Big Query

Databricks

PostgreSQL popularly known as Postgres, is a powerful, open-source object-relational database system that uses and extends the SQL language combined with many features that safely store and scale data workloads.

PostgreSQL

Salesforce Consumer Goods Cloud

AWS Athena

ClickHouse

MariaDB

Oracle

Databricks Model

AWS Sagemaker Model

SFTP

WatsonX.Data

Salesforce

HubSpot is a customer platform with all the software, integrations, and resources you need to connect your marketing, sales, content management, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.

HubSpot

Zoho

Microsoft Dynamics

Braze

CleverTap

Klaviyo

Iterable

Facebook Custom Audiences

Google Ads

Google Analytics

Mixpanel

Amplitude

Zendesk is a customer service software and support ticketing system. Zendesk's connected platform enables you to improve customer relationships by providing seamless support and comprehensive customer insights.

Zendesk

Slack

Stripe

Airtable

Google Sheets serves as an effective reverse ETL destination, enabling real-time data synchronization from data warehouses to a collaborative, user-friendly spreadsheet environment. It democratizes data access, allowing stakeholders to analyze, share, and act on insights without specialized skills. The platform supports automation and customization, enhancing decision-making and operational efficiency. Google Sheets transforms complex data into actionable intelligence, fostering a data-driven culture across organizations.

Google Sheets - Service Account

Microsoft Excel

Learn how to set up a SFTP destination connector in AI Squared to efficiently transfer data to your SFTP server.

Pinecone

Learn how to set up a HTTP destination connector in AI Squared to efficiently transfer data to your HTTP destination.

HTTP

Microsoft SQL Server (Structured Query Language) is a proprietary relational database management system developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications—which may run either on the same computer or on another computer across a network.

Sources

Destinations

Data Modelling

Data Syncs

Microsoft teams