AI layer integrated across Salesforce products: predictive lead scoring, opportunity scoring, generative AI for emails and summaries
FluffyStack toolsJurisdictional exposure
Sub-services (3)
Einstein Predictions
Custom ML scoring models trained on Salesforce data
Einstein Copilot
Conversational generative AI assistant inside the CRM
Einstein Trust Layer
Data masking and prompt safety for generative AI features
Compliance & Certifications
This service is attested for the following frameworks. Always verify with the provider before relying on a specific compliance posture.
Tags
Equivalent services on other platforms
Next-generation SageMaker (rebranded SageMaker AI) unifying data, analytics, and AI in one workspace — Studio notebooks, HyperPod for foundation-model training at scale, Lakehouse with QuickSight + S3 Tables integration, AutoPilot AutoML, managed training jobs, hosted inference endpoints, and Feature Store, with re:Invent 2024 introducing the unified SageMaker AI workspace and 2025 Summit additions extending it with lakehouse auto-onboarding
End-to-end platform for building and deploying ML models with automated ML, designer (drag-and-drop), managed compute clusters, MLflow tracking, and responsible AI dashboards
Unified platform to build, deploy, and scale ML models with AutoML, custom training on TPUs and GPUs, model registry, pipelines, feature store, and generative AI studio