AI Squared
Streamline AI and data insights into business workflows effortlessly.. [Contact for Pricing]
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What is AI Squared?
AI Squared is a business AI integration platform that helps large organizations bring AI to where work happens by embedding intelligent insights into mission-critical business applications. The platform combines data sources with advanced AI/ML functionality through SaaS or on-prem deployment, enabling seamless collaboration between data science teams and business users for faster, more informed decision-making. It accelerates and streamlines AI adoption by simplifying the integration of AI models into business applications, enabling teams to quickly deploy, experiment, and scale AI solutions.
Key features include Enterprise Reverse ETL to sync data at scale from data warehouses to business tools, an open-source Reverse ETL option that is self-hosted and forever-free, ML Ops for operationalizing machine learning and large language models, and Data Apps that augment workflows by rendering AI insights directly into application UIs. The platform offers one-click integrations to any LLM or custom models deployed on your infrastructure, standardized feedback collection capabilities to measure model performance and user engagement, and connectors for major data warehouses like Snowflake, BigQuery, Amazon Redshift, PostgreSQL, and Oracle.
AI Squared is designed for engineering teams who want to build, test, and iterate AI/ML models 10x faster, sales teams who need AI insights delivered within their CRM for faster customer acquisition and smarter retention, marketing teams seeking hyper-personalized campaigns through AI predictions integrated into their marketing tech stack, and operations teams optimizing supply chain and resource allocation with real-time AI-powered forecasting. The platform is trusted by the largest financial institutions, complicated supply chain logistics companies, and the US Department of Defense.
AI Squared pricing
Pricing model: Freemium
AI Squared is a paid platform with no free plan or free trial available. The Platform License Fee is $40,000 per month for the Predictive and Generative AI Integration Platform. Additional usage costs apply beyond the free tier: viewers are charged $1.00 per unit, evaluators are charged $20.00 per unit, and administrators are charged $250.00 per unit. The Growth plan includes 1 User, 1 Workspace, 1 Model, 1 Active sync, and up to 20M rows per month. The Enterprise plan includes everything in Growth plus deployment flexibility, advanced security features, enterprise professional services, ML Ops, and Data Apps with Unlimited Users, Unlimited Workspaces, Unlimited Models, Unlimited Syncs, Unlimited Sources, and Unlimited Destinations. The open-source Reverse ETL option is self-hosted and forever-free.
AI Squared pros
- One-click integrations to any LLM or custom models
- Enterprise Reverse ETL syncs data at scale
- Open-source Reverse ETL is self-hosted and forever-free
- ML Ops operationalizes ML and Large Language Models
- Data Apps render AI insights directly into application UIs
- Unlimited Users, Workspaces, Models, and Syncs on enterprise plan
- Up to 20M rows per month included
- Unlimited Sources and Unlimited Destinations
- Plug and play platform for engineering teams
- 10x faster AI/ML model build, test, and iterate cycle
- AI insights delivered directly within CRM for sales teams
- Real-time AI-powered forecasting for operations
- Standardized feedback collection for model performance insights
- Supports Snowflake, BigQuery, Redshift, PostgreSQL, Oracle
- SaaS or on-prem deployment flexibility
- Advanced security features for enterprise
- API access with JWT-based authentication
- Incremental sync and full refresh sync options
- SQL Editor and Visual Table Selector for data modeling
- Pre-built connectors for Salesforce, Slack, Google Sheets, Airtable, ServiceNow, Databricks
AI Squared cons
- Paid platform only - no free plan available
- Platform License Fee of $40,000 per month for enterprise
- Additional usage costs for viewers at $1.00 per unit
- Additional usage costs for evaluators at $20.00 per unit
- Additional usage costs for administrators at $250.00 per unit
- No free trial available
- API availability marked as No on some platforms
- Requires specialized skills for full deployment
- Rate limited to 100 requests per minute on API
- Integration can be complex and time-consuming initially
Frequently asked questions about AI Squared
What is AI Squared?
AI Squared is a platform that helps companies integrate AI insights into their business applications. It offers Enterprise Reverse ETL to sync data at scale, an open-source Reverse ETL option, ML Ops for operationalizing large language models, and Data Apps to augment workflows. The platform accelerates and streamlines AI adoption by simplifying the integration of AI models into business applications, enabling teams to quickly deploy, experiment, and scale AI solutions.
Why is my data source connection failing?
To troubleshoot data source connection failures, verify that the connection credentials (host, port, username, password) are correct. Ensure that network/firewall rules allow connections to AI Squared's IPs for on-prem data. Check if the database is online and reachable. AI Squared supports connections to major databases like Snowflake, BigQuery, PostgreSQL, Oracle, and more.
What types of model endpoints are supported?
AI Squared supports REST-based hosted models with JSON payloads, hosted services like AWS SageMaker and Vertex AI, and custom HTTP endpoints. You can use the Add AI/ML Source guide to define your model endpoint and provide input/output schema details so the platform can handle data mapping effectively.
What is Reverse ETL in AI Squared?
Reverse ETL in AI Squared syncs data from your data warehouse to your business tools. The Enterprise Reverse ETL feature syncs data at scale from the warehouse to business tools like CRMs, advertising platforms, and marketing tools. There is also an open-source Reverse ETL option that is self-hosted and forever-free for those who want a self-hosted solution.
How do I test if my connection is working?
Use the 'Test Connection' button when setting up a new source or sync. If testing fails, examine error messages and retry with updated configurations. This helps verify that your data source or destination is properly connected before setting up syncs.
What is ML Ops in AI Squared?
ML Ops in AI Squared is for operationalizing machine learning and Large Language Models. It is included in the Enterprise plan and helps teams deploy, monitor, and manage ML models in production. This feature enables engineering teams to build, test, and iterate AI/ML models on average 10x faster than before.
What are Sources and Destinations in AI Squared?
Sources are the starting points of your data journey where all your data is stored - AI Squared pulls data from data warehouses like Snowflake, Google BigQuery, Amazon Redshift, databases, CSV files, and SFTP. Destinations are business tools where you want to send your data, including CRM systems like Salesforce and HubSpot, advertising platforms like Google Ads and Facebook Ads, and marketing tools like Braze and Klaviyo.
What is the difference between Full Refresh Sync and Incremental Sync?
Full Refresh Sync syncs all data from the source to the destination every time. Incremental Sync only syncs new or updated data from the source to the destination, which is more efficient for large datasets that don't change completely with each sync.
What data formats are supported for ingesting data?
AI Squared supports connections to major databases like Snowflake, BigQuery, PostgreSQL, Oracle, and more. Files such as CSV, Excel, and JSON can be ingested via SFTP or cloud storage like Amazon S3. The platform supports various data formats for flexible data integration.
Why is my sync failing?
Sync failures can occur if your data model and sync mapping are invalid, or if input types in your model schema don't match your data source fields. Review logs for any missing fields or payload mismatches. Every model must have a unique primary key to ensure each data entry is distinct, which is crucial for data tracking and updating.