# Regal vs Salesforce Agentforce (formerly Einstein)

Regal records 29,440 monthly visits with -50.8% month-over-month growth and Contact for Pricing pricing. Salesforce Agentforce (formerly Einstein) records 111,910,743 monthly visits with +2.2% growth and Freemium pricing.

| Metric | [Regal](https://openaitools.app/tool/regal) | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) |
| :--- | :--- | :--- |
| Website URL | https://regal.ai | https://www.salesforce.com/agentforce/ |
| Categories | AI Agent, AI Voice Assistants, AI Call Center | AI App Builder, AI Developer Tools, AI CRM, No-Code&Low-Code |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 29,440 | 111,910,743 |
| MoM Growth Rate | -50.8% | +2.2% |
| Primary Market | United States | United States |
| Direct Visits | 9,943 | 60,741,009 |
| Review Score | 4.2 | 4.4 |
| Saved Count | 0 | 20 |
| Supported Platforms | Website | Website |

## Regal

Regal targets contact centres where call volume, wait times and staffing costs are the binding constraint. Its agents handle inbound and outbound conversations across phone, SMS, chat and webRTC, and the company reports outcomes such as a 97% containment rate on inbound support calls and a 0 second wait time. Rather than a black-box voice bot, the platform is built around an agent builder plus an orchestration layer, so a team can define a goal, attach the systems and knowledge the agent needs, and tune its handling of complex workflows.

The surrounding feature set is aimed at contact centre operations rather than simple IVR replacement. There is a journey builder, unified customer profiles, native A/B testing, simulations for testing flows before launch, conversation intelligence, and monitoring and quality assurance tooling alongside analytics and reporting. For human teams, Regal provides a unified agent desktop so humans and AI agents work from the same queue and dashboards. On the infrastructure side it covers phone number management, branded caller ID and spam remediation, which matter when outbound AI calling needs to be answered at all.

Regal positions AI agents as useful for lead qualification, appointment setting, collections and bookings as much as support, and sells into regulated industries such as insurance, lending, banking, healthcare and legal services. The company states compliance coverage including SOC 2, HIPAA, GDPR, TCPA and CCPA, offers developer documentation for integration, and prices through a sales conversation rather than published tiers.

**Pricing & Plans:** Contact for pricing; Regal does not publish tiers and quotes based on deployment scope and volume.

- **Agents across four channels:** Build phone, SMS, chat and webRTC AI agents from a single definition and deploy them where customers already are.
- **Agent builder and orchestration:** Define goals, connect systems and knowledge, and manage every agent from one platform without rebuilding per channel.
- **Journey builder and A/B testing:** Map multi-step customer journeys, simulate flows before launch and test variants natively instead of via workarounds.
- **Contact centre integrations:** Connect to major contact centre and CRM software so agents can act on real customer data during a conversation.
- **Conversation intelligence and QA:** Monitor live conversations, score interactions and track analytics and reporting across agents and channels.
- **Caller identity tooling:** Phone number management, branded caller ID and spam remediation keep outbound calls answerable.

**Strengths:** Covers voice, SMS, chat and webRTC from one agent definition; Deep contact centre integration instead of a standalone voice bot; Native A/B testing, simulations and QA for iterating on agents; Documented compliance coverage for regulated industries

**Limitations:** No published pricing; you must talk to sales to get numbers; Enterprise-oriented setup assumes an existing contact centre or CRM stack; Reporting quality depends on how well the agent is wired to your data

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

## 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)

## Frequently Asked Questions

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

Regal has 29,440 monthly visits, while Salesforce Agentforce (formerly Einstein) has 111,910,743. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Regal has a month-over-month growth rate of -50.8%; Salesforce Agentforce (formerly Einstein) has +2.2%.

### How does pricing compare?

Regal: Contact for Pricing. Contact for pricing; Regal does not publish tiers and quotes based on deployment scope and volume. 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.

## 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 | [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) |
| 9 | [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) |
| 10 | [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) |

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

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)