# Salesforce Agentforce (formerly Einstein) vs Salient

Salesforce Agentforce (formerly Einstein) records 111,910,743 monthly visits with +2.2% month-over-month growth and Freemium pricing. Salient records 11,905 monthly visits with +17.7% growth and Contact for Pricing pricing.

| Metric | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | [Salient](https://openaitools.app/tool/salient) |
| :--- | :--- | :--- |
| Website URL | https://www.salesforce.com/agentforce/ | https://www.trysalient.com |
| Categories | AI App Builder, AI Developer Tools, AI CRM, No-Code&Low-Code | AI Agent, AI For Finance, AI Voice Assistants, AI Customer Service |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 111,910,743 | 11,905 |
| MoM Growth Rate | +2.2% | +17.7% |
| Primary Market | United States | United States |
| Direct Visits | 60,741,009 | 4,002 |
| Review Score | 4.4 | 4.7 |
| 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)

## Salient

Salient targets one of the most heavily regulated parts of financial services: consumer lending servicing. The company's premise is that lenders should not have to choose between automation and compliance, so its agents are designed around how institutions are actually supervised and examined, from CFPB expectations to state-level rules. Taylor 2.0, the flagship collections agent, is marketed as handling inbound and outbound calls with FDCPA, TCPA and CFPB compliance built in, reducing the need for human review on every conversation.

Rather than answering questions, the agents are built to execute workflows. They gather borrower data, validate it against rule sets, take actions such as offering a payment plan, update downstream systems and log an audit trail — all within a single session. Each interaction contributes to borrower-level memory, so promises to pay, hardship discussions, prior disputes and escalation history carry forward into later conversations across channels.

The product line has expanded beyond voice collections into adjacent servicing work: Marshall automates audit against an expanding law repository with LMS-level control coverage and exam-ready reporting, Flyn automates GAP and total-loss insurance claims with appraisal deadlines, Alex handles chargebacks and disputes, and Melanie manages chargeoffs. Delivery is co-designed with each lender's risk, compliance and operations teams to define guardrails and pilot success metrics. The company is backed by Andreessen Horowitz and Matrix with $75M raised, and was selected for the JPMorgan Chase Hall of Innovation.

**Pricing & Plans:** Enterprise pricing — contact for a quote. Salient sells to lenders through a demo-led process, and the company positions its agents as reducing the overall cost of servicing and credit. It does not publish list prices or self-serve tiers.

- **Compliance-native collections agent:** Taylor handles inbound and outbound collections conversations with FDCPA, TCPA and CFPB requirements built into the flow rather than bolted on afterwards.
- **Agents that execute full workflows:** Salient agents gather data, check rules, take actions, update systems of record and produce documentation, instead of only answering borrower questions.
- **Borrower-level memory:** Every interaction builds on the last, carrying promises to pay, hardship context, prior disputes and escalation history across channels.
- **Automated audit and exam-ready reporting:** Marshall validates servicing activity against an expanding law repository with LMS-level control coverage and reports prepared for examinations.
- **Adjacent servicing modules:** Flyn automates total-loss and GAP insurance claims, Alex manages chargebacks and payment disputes, and Melanie handles chargeoffs.

**Strengths:** Built specifically for regulated US consumer lending rather than adapted from generic support tooling; Compliance handling is native to each agent, covering FDCPA, TCPA and CFPB expectations; Agents complete workflows end to end and leave an audit trail; Borrower-level memory keeps context consistent across calls and channels

**Limitations:** Pricing is not published, so evaluation requires a sales conversation; The platform is designed for institutional lenders, not individual borrowers or small businesses; Value depends on integration with existing servicing systems and data quality

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

## Frequently Asked Questions

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

Salesforce Agentforce (formerly Einstein) has 111,910,743 monthly visits, while Salient has 11,905. 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%; Salient has +17.7%.

### 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. Salient: Contact for Pricing. Enterprise pricing — contact for a quote. Salient sells to lenders through a demo-led process, and the company positions its agents as reducing the overall cost of servicing and credit. It does not publish list prices or self-serve tiers.

## 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 | [Kapture CRM](https://openaitools.app/tool/kapturecrm-com) | 561,153 | -0.7% | Contact for Pricing | AI-powered customer experience platform unifying support, sales, and service | [.md](https://openaitools.app/tool/kapturecrm-com.md) |
| 7 | [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) |
| 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 | Build AI agents that handle customer conversations across chat, voice, email, SMS, and WhatsApp. | [.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) |

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

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