# Salesforce Agentforce (formerly Einstein) vs Truva

Salesforce Agentforce (formerly Einstein) records 111,910,743 monthly visits with +2.2% month-over-month growth and Freemium pricing. Truva records 0 monthly visits with 0% growth and Contact for Pricing pricing.

| Metric | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | [Truva](https://openaitools.app/tool/truva) |
| :--- | :--- | :--- |
| Website URL | https://www.salesforce.com/agentforce/ | https://truva.ai |
| Categories | AI App Builder, AI Developer Tools, AI CRM, No-Code&Low-Code | AI Agent, AI Sales, AI Sales Assistant, AI CRM |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 111,910,743 | 0 |
| MoM Growth Rate | +2.2% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 60,741,009 | 0 |
| Review Score | 4.4 | 4.2 |
| 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)

## Truva

Truva is built around the observation that most sales teams lose their best hours to admin: updating records, hunting for context, writing yet another follow-up. Truva's agents take that layer of work and run it in the background. Because the pricing model is contact-for-pricing, Truva is positioned for teams that want a tailored rollout rather than a self-serve seat — you demo it, agree on scope, and deploy the agents against your own CRM and email stack.

Where Truva differentiates is in linking the front and back of the rep's day. The same platform that researches and qualifies a lead also follows up by email, keeps the CRM honest, and then listens in on the meeting that closes the loop — writing the summary, logging the next step, and feeding coaching signals back to the manager. That continuity means less copying of context between tools and fewer dropped threads.

For leaders, Truva's reporting layer turns scattered activity into a readable picture of the pipeline: which sequences land, which reps are improving, where deals stall. If you want a concrete price, you'll need to speak with their team, since Truva doesn't publish rates publicly.

**Pricing & Plans:** Truva uses a contact-for-pricing model — there is no published self-serve price list. You request a demo, discuss your team size and the modules you need, and receive a custom quote. Because Truva does not publish rates, this page avoids quoting specific numbers.

- **AI lead research and qualification:** Truva digs through account and contact data to surface fit, intent, and the context a rep needs before outreach — so reps open with relevance instead of a cold template.
- **Automated email outreach and follow-up:** Agents draft personalized outreach, schedule multi-step follow-ups, and adapt tone to the prospect, then log every touch back to the CRM automatically.
- **CRM automation and data hygiene:** Rather than a static tracker, Truva keeps records clean — enriching fields, flagging stale deals, and updating stages as activities happen.
- **Meeting notes and sales coaching:** Truva joins calls, captures a structured summary with action items, and highlights talk patterns that coaches can use to improve rep performance.
- **Pipeline analytics and reporting:** Deals, activities, and outcomes are rolled into reports so managers can see what is working across the team without building spreadsheets by hand.

**Strengths:** Covers the full rep workflow — research, outreach, CRM, meetings, and coaching — in one place; Automates follow-up so leads don't go cold between touches; Keeps CRM records accurate without manual data entry; Meeting summaries and coaching signals help managers develop reps faster

**Limitations:** No self-serve signup or transparent public pricing — you must talk to sales first; As a newer entrant, the ecosystem of integrations and templates is smaller than established revenue platforms; Value depends on feeding it clean CRM and call data; messy pipelines reduce the quality of its outputs; Buyers who want a free trial or instant hands-on access may find the demo-first process slow

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

## Frequently Asked Questions

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

Salesforce Agentforce (formerly Einstein) has 111,910,743 monthly visits, while Truva has 0. 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%; Truva has 0%.

### 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. Truva: Contact for Pricing. Truva uses a contact-for-pricing model — there is no published self-serve price list. You request a demo, discuss your team size and the modules you need, and receive a custom quote. Because Truva does not publish rates, this page avoids quoting specific numbers.

## 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 | [Instantly](https://openaitools.app/tool/instantly) | 2,336,279 | +6% | Paid, Contact for Pricing | Sales engagement platform with AI agents for lead finding, outreach and deliverability | [.md](https://openaitools.app/tool/instantly.md) |
| 5 | [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) |
| 6 | [Attio](https://openaitools.app/tool/attio) | 1,652,928 | -4.2% | Free Trial, Contact for Pricing | The AI-native CRM for agentic revenue teams | [.md](https://openaitools.app/tool/attio.md) |
| 7 | [Outreach](https://openaitools.app/tool/outreach) | 958,599 | +0.4% | Contact for Pricing | AI agents that work the revenue lifecycle alongside your sellers | [.md](https://openaitools.app/tool/outreach.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 | [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) |

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

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