# Salesforce Agentforce (formerly Einstein) vs ZBrain

Salesforce Agentforce (formerly Einstein) records 111,910,743 monthly visits with +2.2% month-over-month growth and Freemium pricing. ZBrain records 11,674 monthly visits with -22.5% growth and Free Trial, Paid, Contact for Pricing pricing.

| Metric | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | [ZBrain](https://openaitools.app/tool/zbrain) |
| :--- | :--- | :--- |
| Website URL | https://www.salesforce.com/agentforce/ | https://zbrain.ai |
| Categories | AI App Builder, AI Developer Tools, AI CRM, No-Code&Low-Code | AI App Builder, AI Agent, AI Developer Tools, AI Copilot |
| Pricing Model | Freemium | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 111,910,743 | 11,674 |
| MoM Growth Rate | +2.2% | -22.5% |
| Primary Market | United States | United States |
| Direct Visits | 60,741,009 | 4,636 |
| Review Score | 4.4 | 4.1 |
| Saved Count | 20 | 0 |
| Supported Platforms | Website | Website |

## Salesforce Agentforce (formerly Einstein)

Originally launched as Salesforce Einstein for predictive CRM scoring and later Einstein Copilot for conversational assistance, Salesforce's flagship AI platform is now led by Agentforce. Built natively into the Salesforce Platform and grounded in unified enterprise data via Data 360 (formerly Data Cloud), Agentforce moves beyond rigid decision-tree chatbots and passive text generators to deploy autonomous AI agents capable of reasoning through multi-step problems and executing real business actions around the clock.

At the core of the platform is the Atlas Reasoning Engine, which evaluates incoming customer requests or system triggers, retrieves verified context from CRM records and external APIs, formulates an execution plan, and invokes Salesforce Flows, Apex classes, MuleSoft connectors, or verified Model Context Protocol (MCP) servers. In 2026, Salesforce expanded the platform with Long-Horizon Runtime—enabling agents to pursue multi-day workflows with human-in-the-loop oversight—alongside Multi-Agent Orchestration, Agentforce Voice for natural phone interactions beyond legacy IVR, and Agent Optimizer for real-time observability.

Organizations can launch pre-built role agents in clicks using the low-code Agent Builder or customize deterministic logic with Agent Script. Out-of-the-box roles include Customer Service Agents, autonomous Sales Development Representatives (SDRs) that qualify leads and book meetings, Sales Coaches for interactive deal role-play, Commerce Personal Shoppers, and Employee Coworker agents embedded directly inside Slack and Salesforce clouds.

**Pricing & Plans:** Existing Enterprise+ customers can start free via Salesforce Foundations ($0); usage-based options include Flex Credits at $500 per 100,000 credits ($0.10 per standard action, $0.15 per voice action), $2 per customer conversation, or $2 per Help Agent resolution, while unmetered employee seat add-ons cost $125–$150/user/month and Max (Agentforce 1) Editions start at $550/user/month.

- **Atlas Reasoning Engine & Long-Horizon Runtime:** Deconstructs complex queries into multi-step action plans grounded in Data 360, retaining state across days or weeks to complete multi-touch operational workflows with human escalation guardrails.
- **Low-Code Agent Builder & Agent Script:** Configure custom agents, subagents, natural-language instructions, and deterministic guardrails using existing Salesforce Flows, Prompt Builder templates, Apex code, and MuleSoft APIs.
- **Multi-Agent Orchestration & MCP Interoperability:** Coordinate specialized subagents across departments and connect securely to external enterprise tools through verified Model Context Protocol (MCP) servers from AgentExchange partners.
- **Agentforce Voice & Omnichannel Deployment:** Replace rigid telephone IVR trees with low-latency conversational voice agents alongside unified deployments across web chat, WhatsApp, SMS, mobile apps, and Slack.
- **Pre-Built Role Agents & Agent Optimizer:** Deploy ready-made Service, SDR, Sales Coach, Buyer, and Merchandiser agents out of the box, then monitor resolution accuracy and bottlenecks in near real time with Agent Optimizer.

**Strengths:** Deep native access to Salesforce CRM objects, Flows, Apex logic, MuleSoft integrations, and Data 360 without brittle third-party syncing.; Flexible 2026 billing models let enterprises choose between per-action Flex Credits ($0.10/action), $2 per conversation, $2 per resolution, or unmetered per-user licenses.; Enterprise-grade Einstein Trust Layer enforces zero data retention with external LLM providers, PII masking, and toxicity detection.; Supports open multi-agent interoperability via Model Context Protocol (MCP) and Long-Horizon multi-day task execution.

**Limitations:** Consumption pricing across Flex Credits, Data 360 credits, and seat add-ons is complex to forecast and prevents mixing Flex Credits and Conversation meters in the same org.; Requires clean, well-structured Salesforce CRM and Data 360 governance to avoid inaccurate agent actions.; Full enterprise capabilities carry a steep total cost of ownership, with top-tier Max / Agentforce 1 editions reaching $550 per user per month.

[Profile (Markdown)](https://openaitools.app/tool/salesforce-einstein.md)

## ZBrain

ZBrain positions itself as a governance-first agentic AI platform. Instead of only helping teams build agents, it acts as a meta-harness: a control layer that brings agents and agentic solutions from ZBrain or from other platforms into the same registry, policy framework and audit trail. The argument is straightforward — agentic AI is reaching production faster than governance can keep up, and without clear controls on permissions, approvals and accountability, promising initiatives stall.

The governance layer evaluates every agent action before it executes. Agents are registered with their owner, identity, approved tools, permitted data sources, autonomy level and access scope, and actions then pass through gates for registry, policy, confidence threshold, budget, approved models and audit. A decision can be allowed, routed to a designated human reviewer, or blocked and denied, and each outcome is written to a tamper-evident record. A kill switch can halt all actions instantly. Controls are layered from enterprise-wide standards down to functional and individual application policies.

Beyond governance, ZBrain provides a structured path across the solution lifecycle. ZBrain Analyzer supports use-case analysis, ZBrain Design produces the technical design, and ZBrain Solution Builder turns that into a deployed solution, with tools such as ZBrain Corpus and ZBrain Agents in support. It also ships prebuilt enterprise products: an AI regulatory monitoring tool, a sales copilot that generates deal summaries and next best actions, a due-diligence research solution and a multilingual customer support agent. Because deployment runs in the client's own cloud, tenant and region using client-controlled keys, enterprises keep control of data and models.

**Pricing & Plans:** ZBrain offers a free trial and paid enterprise plans, but pricing is not published on the site. Costs are arranged through a demo and contact-based sales conversation, reflecting the deployment model and governance scope an enterprise needs.

- **Runtime governance layer:** Agents register their purpose, owner, identity, tools, data sources, autonomy level and access scope, then run through gates for policy, confidence, budget, models and audit before acting.
- **Multi-level policy control:** Policies, approvals, exceptions and escalations across enterprise, functional and application levels can be traced through a single audit view, with a kill switch to stop all actions instantly.
- **Cross-platform agent governance:** Govern agents built on Azure AI Foundry, AWS Bedrock, Google Vertex AI, LangGraph, Google ADK, Semantic Kernel or Microsoft Agent Framework without rebuilding them.
- **Use-case to deployed solution:** ZBrain Analyzer, Design and Solution Builder carry a use case from analysis and technical design into a deployed, production-ready agentic solution, with governance embedded at every stage.
- **Prebuilt enterprise solutions:** Ready-made solutions include AI regulatory monitoring, a sales copilot that summarizes deals and suggests next actions, a due-diligence research solution and a multilingual customer support agent.
- **Your cloud, your control:** Deploy in the client's cloud, tenant, region and security perimeter, with enterprise-selected models and customer-controlled keys.

**Strengths:** Brings agents from multiple platforms into one registry, policy layer and audit framework; Runtime gates for policy, confidence, budget, models and audit give concrete guardrails; Runs in the client's own cloud, region and security perimeter with customer-controlled keys; Extends governance to agents built on Azure, AWS, Google and common frameworks

**Limitations:** Pricing is not published publicly, so budget planning requires talking to sales; The platform is aimed at enterprises, so setup and governance design involve real configuration effort; Value depends on connecting it to your own cloud, models and systems of record, which takes integration work; Many capabilities (Analyzer, Design, Solution Builder) assume a structured use-case process rather than ad-hoc prompting

[Profile (Markdown)](https://openaitools.app/tool/zbrain.md)

## Frequently Asked Questions

### How do Salesforce Agentforce (formerly Einstein) and ZBrain compare in monthly traffic?

Salesforce Agentforce (formerly Einstein) has 111,910,743 monthly visits, while ZBrain has 11,674. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Salesforce Agentforce (formerly Einstein) has a month-over-month growth rate of +2.2%; ZBrain has -22.5%.

### How does pricing compare?

Salesforce Agentforce (formerly Einstein): Freemium. Existing Enterprise+ customers can start free via Salesforce Foundations ($0); usage-based options include Flex Credits at $500 per 100,000 credits ($0.10 per standard action, $0.15 per voice action), $2 per customer conversation, or $2 per Help Agent resolution, while unmetered employee seat add-ons cost $125–$150/user/month and Max (Agentforce 1) Editions start at $550/user/month. ZBrain: Free Trial, Paid, Contact for Pricing. ZBrain offers a free trial and paid enterprise plans, but pricing is not published on the site. Costs are arranged through a demo and contact-based sales conversation, reflecting the deployment model and governance scope an enterprise needs.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Automate work across thousands of apps — no code required | [.md](https://openaitools.app/tool/zapier-com.md) |
| 2 | [Intercom](https://openaitools.app/tool/intercom-com) | 4,471,110 | +2.7% | Free Trial, Paid | Exceptional customer support and helpdesk workflow automation, but less suited for broad enterprise CRM and sales execution. | [.md](https://openaitools.app/tool/intercom-com.md) |
| 3 | [Gong – Revenue AI OS](https://openaitools.app/tool/gong-io) | 2,337,769 | +3% | Contact for Pricing | Superior revenue intelligence and call analytics, but specialized for sales insights rather than general agentic workflow automation. | [.md](https://openaitools.app/tool/gong-io.md) |
| 4 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | Visual no-code builder for custom AI agents, but lacks Salesforce's native enterprise data connectors and CRM structure. | [.md](https://openaitools.app/tool/mindstudio.md) |
| 5 | [Attio](https://openaitools.app/tool/attio) | 1,652,928 | -4.2% | Free Trial, Contact for Pricing | Modern customizable CRM with built-in AI agents, but lacks the massive enterprise ecosystem and scale of Salesforce. | [.md](https://openaitools.app/tool/attio.md) |
| 6 | [Chatbase](https://openaitools.app/tool/chatbase) | 396,383 | -7% | Freemium, Paid | Simple no-code AI chatbot deployment, but less equipped for complex enterprise-grade CRM automation and multi-system agents. | [.md](https://openaitools.app/tool/chatbase.md) |
| 7 | [Sierra](https://openaitools.app/tool/sierra) | 341,072 | +16.4% | Contact for Pricing | Delivers exceptionally polished customer service agents, but focuses on bespoke conversational AI rather than broad CRM workflows. | [.md](https://openaitools.app/tool/sierra.md) |
| 8 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | A secure environment where teams build, deploy and govern AI agents, apps and automations | [.md](https://openaitools.app/tool/tines.md) |
| 9 | [Relevance AI](https://openaitools.app/tool/relevance-ai) | 192,083 | -15.5% | Free Trial, Contact for Pricing | Offers flexible no-code multi-agent workforce building, but lacks Salesforce's deep CRM data integration and native enterprise security. | [.md](https://openaitools.app/tool/relevance-ai.md) |
| 10 | [Beam AI](https://openaitools.app/tool/beam-ai) | 157,935 | +37.6% | Contact for Pricing | Automates manual business processes into workflows, but lacks Salesforce's unified CRM architecture and enterprise agent ecosystem. | [.md](https://openaitools.app/tool/beam-ai.md) |

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Source: https://openaitools.app/compare/salesforce-einstein-vs-zbrain

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