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Salesforce Einstein AI

salesforce.com
Summary

Salesforce Einstein AI is an integrated AI platform designed to enhance various business operations within the Salesforce CRM ecosystem. It provides AI-powered predictions, generative content, and conversational AI capabilities across sales, service, marketing, and commerce. The platform emphasizes trust and security through its Einstein Trust Layer, ensuring data privacy and responsible AI use for enterprises.

Features
6/13
See all

Must Have

5 of 5

Conversational AI

API Access

Safety & Alignment Framework

Fine-Tuning & Custom Models

Enterprise Solutions

Other

1 of 8

Multimodal AI

Image Generation

Code Generation

Research & Publications

Security & Red Teaming

Synthetic Media Provenance

Threat Intelligence Reporting

Global Affairs & Policy

Rationale

Salesforce Einstein AI clearly offers conversational AI capabilities, as highlighted by features like 'Einstein Copilot' and 'Agentforce' for various business functions (sales, service, marketing, commerce). The platform emphasizes its 'Einstein Trust Layer' which directly addresses safety and alignment concerns, including data masking and ethical guidelines. While not explicitly called 'API Access' in the same way as OpenAI, the 'Agent Builder' and 'Model Builder' sections imply extensibility and integration capabilities, allowing users to 'Extend Agent Builder with actions composed of familiar platform features like Flows, Apex code, MuleSoft APIs' and 'Build or bring your own predictive AI models and LLMs into Salesforce'. The 'Model Builder' also suggests fine-tuning or custom model capabilities by allowing users to 'Build or bring your own predictive AI models and LLMs into Salesforce'. Salesforce is inherently an enterprise solution, and the content frequently mentions 'Enterprise AI' and solutions for various business departments. Although not explicitly stated as 'multimodal AI' in the same context as OpenAI's image/code generation, the description of 'Dynamic Grounding' and the ability to 'infuse AI prompts with business context from structured or unstructured data sources' suggests a capability to handle and process different data modalities beyond just text for richer AI interactions within the CRM context.