AI Product
Sales Cloud
Agentforce, an agentic AI layer built into Salesforce's CRM applications that lets businesses configure autonomous agents for sales, service, and marketing tasks, alongside the core Sales Cloud, Service…
- Status
- Active
- Category
- Enterprise AI platform
- Developer
- Salesforce
- Industry
- AI in Enterprise Software
- Country
- United States
- Deployment
- Company background
Product Ecosystem Map
How this product connects across company, capabilities, technology, and markets on Brel.
Overview
What this product is, what it does, and who develops it.
Salesforce introduced Sales Cloud to deliver targeted intelligence capabilities for technical teams, data leaders, and operational specialists in Enterprise Software. The system automates accelerating diagnostic evidence extraction and molecular modeling, directly counteracting the friction caused by therapeutic compound discovery latency and computational screening costs.
The pioneering cloud CRM vendor now repositioning its entire platform around autonomous AI agents.
What it does
Agentforce, an agentic AI layer built into Salesforce's CRM applications that lets businesses configure autonomous agents for sales, service, and marketing tasks, alongside the core Sales Cloud, Service Cloud, Marketing Cloud, and Data Cloud products and the Slack collaboration platform.
Who develops it
Salesforce sells to sales, service, marketing, and IT organizations at businesses of nearly every size, from small companies to the majority of the Fortune 500, spanning industries including financial services, healthcare, retail, and the public sector.
Capabilities & Features
Verified capabilities and product features from the Brel product record.
Capabilities
- Agentforce, an agentic AI layer built into Salesforce's CRM applications that lets businesses configure autonomous agents for sales, service, and marketing tasks, alongside the core Sales Cloud, Service Cloud, Marketing Cloud, and Data Cloud products and the Slack collaboration platform.
Technology & Architecture
Technologies, models, and technical structure linked to this product.
Use Cases
Where this product is applied in real operational contexts.
- Agentforce, an agentic AI layer built into Salesforce's CRM applications that lets businesses configure autonomous agents for sales, service, and marketing tasks, alongside the core Sales Cloud, Service Cloud, Marketing Cloud, and Data Cloud products and the Slack collaboration platform.
- Customer Support: Accelerating decision velocity across high-volume business units.
- Enterprise Search: Enforcing governance rules while scaling departmental output.
Who It Is For
Target users, industries, and deployment context.
Salesforce sells to sales, service, marketing, and IT organizations at businesses of nearly every size, from small companies to the majority of the Fortune 500, spanning industries including financial services, healthcare, retail, and the public sector.
Industries
Industries served
- AI in Enterprise Software
Enterprise buyers and technical teams, data leaders, and operational specialists in Enterprise Software utilize Sales Cloud across mission-critical workflows. Systems administrators can configure the platform within air-gapped biomedical research clusters with encrypted enclaves.
Integrations & Deployment
Integration surface and how the product is deployed.
Deployment: Company background
- Salesforce sells to sales, service, marketing, and IT organizations at businesses of nearly every size, from small companies to the majority of the Fortune 500, spanning industries including financial services, healthcare, retail, and the public sector.
- Continues rolling out Agentforce Coworker, an autonomous agent built into every Salesforce application, following the product's release in mid-2026.
- Introduction
- Salesforce is the company that popularized customer relationship management delivered entirely as a cloud subscription, under the slogan "No Software," when it launched in 1999.
- Who it serves
- Salesforce's customers span nearly every size and sector of business, from small companies to a large share of the Fortune 500, and its own materials cite deployments across banking, insurance, healthcare, retail, and government.
To minimize rollout friction, Sales Cloud provides pre-built connector modules for standard cloud data warehouses, relational storage, and enterprise identity providers.
Developer
API, documentation, GitHub, and technical resources when verified.
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Official product https://www.salesforce.com/company/
Developer / Company
The organization that builds and ships this product.
Frequently Asked Questions
Answers restated from verified fields on this product profile.
What does Sales Cloud offer?
Sales Cloud is an AI solution developed by Salesforce, designed to deliver optimizing clinical department throughput while lowering documentation fatigue by systematizing structuring complex biomedical observations into actionable registries.
Who developed Sales Cloud?
Sales Cloud is built and maintained by Salesforce, based in United States.
What are the main features of Sales Cloud?
Documented capabilities include: According to Salesforce's fiscal Q1 2027 results, Agentforce reached $1.2 billion in annual recurring revenue, up 205% year over year, with the company reporting that its agents completed 3.8 billion "agentic work units" in the quarter; The company has also introduced Agentforce 360 and industry; specific packaged agents for functions such as financial services and healthcare, and says every Salesforce application now ships with a built.
What machine learning stack powers Sales Cloud?
Sales Cloud utilizes Generative AI, Agent, Machine Learning, Automation, MLOps, Enterprise Search, Workflow Automation, Customer Support AI, supporting deployment across hardened healthcare cloud VPCs adhering to SOC 2 Type II controls.
Who is the primary audience for Sales Cloud?
The software is engineered for Salesforce sells to sales, service, marketing, and IT organizations at businesses of nearly every size, from small companies to the majority of the Fortune 500, spanning industries including financial services, healthcare, retail, and the public sector. seeking to mitigate inconsistent pathological classification and clinical documentation burden.
Sources & Verification
Primary sources
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Related Knowledge
Evergreen architectural research, conceptual foundations, and technical reference guides from the Brel Knowledge Library.