# Salesforce Agentforce (formerly Einstein) vs Virtual Scale

Salesforce Agentforce (formerly Einstein) records 111,910,743 monthly visits with +2.2% month-over-month growth and Freemium pricing. Virtual Scale records 174 monthly visits with +107.1% growth and Paid pricing.

| Metric | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | [Virtual Scale](https://openaitools.app/tool/virtual-scale) |
| :--- | :--- | :--- |
| Website URL | https://www.salesforce.com/agentforce/ | https://www.virtualscale.com |
| Categories | AI App Builder, AI Developer Tools, AI CRM, No-Code&Low-Code | AI Agent, AI Customer Service, AI Call Center, AI Chatbot |
| Pricing Model | Freemium | Paid |
| Monthly Visits | 111,910,743 | 174 |
| MoM Growth Rate | +2.2% | +107.1% |
| Primary Market | United States | Global |
| Direct Visits | 60,741,009 | 60 |
| Review Score | 4.4 | 4.4 |
| 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)

## Virtual Scale

Virtual Scale builds what it calls AI employees: assistants that handle conversations end to end rather than only replying to messages. On the inbound side they answer questions, quote products and services, and book appointments across WhatsApp, Instagram, Facebook Messenger, phone calls, SMS and a website chat widget. On the outbound side you choose a segment of contacts and launch WhatsApp campaigns or AI call campaigns, and the AI continues each conversation individually with personalised messages and structured follow-up.

The platform is designed to work alongside your existing tools. During a conversation the AI can check a Google Sheets catalogue for current prices and book the appointment in Google Calendar, all without leaving the chat. A new Flow product turns website visits and campaign traffic into qualified leads by asking the right questions first, scoring readiness and then starting contact when the prospect is done, which is intended to squeeze more qualified conversations out of the same traffic.

Conversations produce outcomes rather than dead ends: each record shows the contact, the channel, what happened and the suggested next step, whether that is a booked meeting, an interested lead to continue, a voicemail to retry or a question resolved by the widget. Teams can define rules for when a conversation should be handed to a human, and implementation is usually guided over roughly one to two weeks depending on your knowledge base, channels and integrations. Billing runs on credits tied to call and message volume.

**Pricing & Plans:** Virtual Scale is a paid platform with usage-based billing. Usage is measured in credits and depends on the plan plus your call and message volume; the site directs visitors to its pricing page and sales team for current plan limits and rates rather than publishing fixed per-seat numbers. Guided implementations typically take around 7 to 14 days.

- **Multichannel inbound answering:** AI employees answer questions, quote products and book appointments on WhatsApp, Instagram, Facebook Messenger, calls, SMS and web chat, day and night.
- **Outbound campaigns and follow-up:** Pick a contact segment and launch WhatsApp or AI call campaigns; the AI continues each conversation and follows up automatically.
- **Google Sheets and Calendar integrations:** Look up products and prices in Google Sheets and book directly in Google Calendar while the conversation is still happening.
- **Flow lead qualification:** Flow asks qualifying questions on your website and turns visits and campaigns into qualified prospects ready for an AI call.
- **Conversation results and next steps:** Every conversation records its outcome and next step, so you see who booked, who is interested and who needs a follow-up.

**Strengths:** Handles inbound and outbound conversations across WhatsApp, Instagram, Messenger, calls, SMS and web chat; Can start campaigns and follow up autonomously, not just answer incoming messages; Integrates with Google Sheets and Google Calendar to quote prices and book during chats; Every conversation ends with a recorded outcome and next step

**Limitations:** Detailed plan pricing is not published on the site, so costs require a sales conversation; Credit-based usage means spend scales with call and message volume, which takes monitoring; Implementation and channel setup typically take days and depend on your integrations; Value depends heavily on having an existing contact base and connected channels to activate

[Profile (Markdown)](https://openaitools.app/tool/virtual-scale.md)

## Frequently Asked Questions

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

Salesforce Agentforce (formerly Einstein) has 111,910,743 monthly visits, while Virtual Scale has 174. 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%; Virtual Scale has +107.1%.

### 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. Virtual Scale: Paid. Virtual Scale is a paid platform with usage-based billing. Usage is measured in credits and depends on the plan plus your call and message volume; the site directs visitors to its pricing page and sales team for current plan limits and rates rather than publishing fixed per-seat numbers. Guided implementations typically take around 7 to 14 days.

## 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 | [Botmaker](https://openaitools.app/tool/botmaker) | 949,155 | -3.4% | Freemium, Contact for Pricing | Build autonomous AI agents for WhatsApp, email, voice, and every channel your customers use. | [.md](https://openaitools.app/tool/botmaker.md) |
| 7 | [JustCall](https://openaitools.app/tool/justcall) | 780,285 | +11.8% | Paid | AI communication platform for sales and support teams | [.md](https://openaitools.app/tool/justcall.md) |
| 8 | [Gupshup](https://openaitools.app/tool/gupshup-io) | 428,889 | +10.8% | Contact for Pricing | Autonomous AI agents for every customer conversation, on every channel | [.md](https://openaitools.app/tool/gupshup-io.md) |
| 9 | [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) |
| 10 | [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) |

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

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