AISquared

Founded 2021

Embed machine learning models and analytics directly into existing business applications

You can use AI Squared to connect machine learning models directly into existing web applications and business workflows. The system allows data science teams to deliver predictions, recommendations, and analytics straight to frontline employees without rebuilding front-end interfaces. Teams can configure browser extensions and API connections to surface real-time scores inside tools like customer management systems. It provides tracking to observe model performance, capture user feedback on predictions, and manage deployment across teams, making advanced models practical and accessible across everyday business operations.

What AISquared does

Connect machine learning models to web applicationsConfigure custom browser extensions for internal teamsCapture user feedback on model accuracyTrack prediction response times and accuracy metricsIntegrate cloud data warehouses with operational front endsPublish analytical widgets into existing SaaS toolsEmbeds model predictions directly into third-party web interfacesCollects user feedback on AI predictions in real timeConnects with existing machine learning pipelines and warehousesProvides no-code widgets for displaying analytical outputsTracks model inference performance and data driftSecures data transit between enterprise data stores and front ends