# Salesforce Agentforce (formerly Einstein) vs Vee

Salesforce Agentforce (formerly Einstein) records 111,910,743 monthly visits with +2.2% month-over-month growth and Freemium pricing. Vee records 398 monthly visits with -86.4% growth and Paid pricing.

| Metric | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | [Vee](https://openaitools.app/tool/vee) |
| :--- | :--- | :--- |
| Website URL | https://www.salesforce.com/agentforce/ | https://vee.ai/en |
| Categories | AI App Builder, AI Developer Tools, AI CRM, No-Code&Low-Code | AI Voice Assistants, AI Customer Service, AI Call Center, AI Agent |
| Pricing Model | Freemium | Paid |
| Monthly Visits | 111,910,743 | 398 |
| MoM Growth Rate | +2.2% | -86.4% |
| Primary Market | United States | Poland |
| Direct Visits | 60,741,009 | 166 |
| Review Score | 4.4 | 3.8 |
| 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)

## Vee

Vee is built around a simple premise: most businesses cannot afford to miss calls, yet staffing phones around the clock is expensive. Vee deploys an AI voice assistant that answers every call immediately, speaks with callers in a natural conversational style, and handles the repetitive parts of reception and customer service — greeting, answering common questions, capturing contact details, and booking appointments.

Beyond inbound answering, Vee also supports outbound calling. Teams can use it to run follow-up and outreach campaigns, reaching leads and prospects at scale while keeping conversations consistent. This makes Vee a fit for both reception-style use cases and more aggressive sales and lead-qualification workflows.

Vee is a paid, sales-led product aimed at SMBs and growing teams that depend on the phone. Because setup involves connecting your telephony, defining call flows, and training the assistant on your knowledge, buyers usually work with the vendor to tailor the deployment to their call volume and use cases.

**Pricing & Plans:** Vee is a paid product with a sales-led pricing model; specific plan tiers and per-minute or per-seat rates are not published openly on the public homepage. Contact Vee's team for a quote based on your call volume and use cases.

- **AI call answering:** An always-on AI receptionist that picks up business calls day and night, greets callers naturally, and never puts them on hold or misses a lead.
- **Conversational call handling:** Vee answers FAQs, follows conversation logic, qualifies callers, and captures details so your team gets structured context instead of a voicemail.
- **Outbound calling campaigns:** Automate reminders, follow-ups, and lead outreach so sales teams can reach more contacts without dialing manually.
- **Smart routing and escalation:** Define when and where calls go, so urgent or high-value conversations reach the right human while routine questions stay fully automated.
- **Custom voices and scripts:** Choose from ready-made voice styles and tune tone, language, and scripts to match your brand and audience.

**Strengths:** Answers calls 24/7 so businesses stop losing leads to voicemail or missed calls; Supports both inbound reception and outbound sales campaigns in one platform; Natural conversational voice designed to feel like a real receptionist; Reduces the cost and staffing pressure of running a round-the-clock phone line

**Limitations:** Pricing is not published transparently on the public homepage, so costs require a sales conversation; As a voice-first product it can struggle with very heavy accents or highly technical jargon; Custom integrations with niche telephony or CRM stacks may need support involvement; Full value depends on call volume and setup quality, which smaller teams may not fully realize

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

## Frequently Asked Questions

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

Salesforce Agentforce (formerly Einstein) has 111,910,743 monthly visits, while Vee has 398. 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%; Vee has -86.4%.

### 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. Vee: Paid. Vee is a paid product with a sales-led pricing model; specific plan tiers and per-minute or per-seat rates are not published openly on the public homepage. Contact Vee's team for a quote based on your call volume and use cases.

## 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 | [PolyAI](https://openaitools.app/tool/poly-ai-ai) | 319,894 | +24.3% | Contact for Pricing | Enterprise voice AI that resolves customer conversations | [.md](https://openaitools.app/tool/poly-ai-ai.md) |
| 9 | [CallHippo](https://openaitools.app/tool/callhippo) | 273,071 | +16.9% | Free Trial, Paid | Cloud phone system and AI voice agents for sales, support, and call centers | [.md](https://openaitools.app/tool/callhippo.md) |
| 10 | [Numa \| AI for Dealerships](https://openaitools.app/tool/numa-com) | 232,387 | +12.5% | Contact for Pricing | The AI operating system that answers every dealership call, books the appointment, and protects CSI in real time. | [.md](https://openaitools.app/tool/numa-com.md) |

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

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