# Salesforce Agentforce (formerly Einstein) vs Thunder

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

| Metric | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | [Thunder](https://openaitools.app/tool/thunder) |
| :--- | :--- | :--- |
| Website URL | https://www.salesforce.com/agentforce/ | https://web.thunder.vc |
| Categories | AI App Builder, AI Developer Tools, AI CRM, No-Code&Low-Code | AI Investing, AI For Finance, Large Language Models (LLMs), AI Lead Generation |
| 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 | 4.5 |
| 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)

## Thunder

Thunder positions itself as the investment bank for tech founders by tech founders. Rather than listing a company and hoping, the team's stated approach is to architect transactions before anyone sees them, working across growth equity, private credit, recapitalizations and M&A. Founders who qualify get a partner working to close a transaction on their terms, while venture funds use Thunder to think through liquidity options for portfolio companies that will not be the fund's headline winners.

The firm publishes cumulative activity figures: more than $1.2B raised by founders after joining Thunder, over $200M in executed transaction volume, 80+ companies served across 20+ sectors, and a network of 6,000+ post-exit founders plus 2K+ warm investor connections. Capital providers are pitched deals that were architected rather than listed. Securities are offered through Finalis Securities LLC, Member FINRA/SIPC, while Thunder X Capital, LLC is not itself a registered broker-dealer.

Beyond deal work, Thunder runs a media and community layer: the $100M Exits podcast, which has interviewed 100+ founders and investors with a combined guest exit value above $10B and 12,000+ subscribers, and a private dinner network in San Francisco, Los Angeles, New York and London with 35 events hosted since 2025 and 1,961 founders and investors registered. Engagements usually start with a 30-minute partner call; a partner reads every submission and aims to reply within two business days.

**Pricing & Plans:** Contact for pricing. Thunder does not publish fee schedules or retainer terms; engagement starts with a confidential partner call and a review of whether it is the right fit.

- **Transaction path advisory:** A partner helps you determine the right route — growth equity, private credit, recapitalization or M&A — before any process begins, based on your company's actual situation.
- **Architected, not listed, deals:** Transactions are built for capital providers rather than simply marketed, which is the firm's stated differentiator when matching companies with investors.
- **Founder and investor network:** 6,000+ post-exit founders and 2K+ warm investor connections give Thunder warm routing into capital that never appears in a public process.
- **Media and event layer:** The $100M Exits podcast and invite-only dinners in San Francisco, Los Angeles, New York and London keep the network active between transactions.
- **VC portfolio liquidity lens:** For funds, Thunder frames the question around the companies that will not return the fund and what it would take to make them liquid.

**Strengths:** Team made up of exited founders, so the advisory comes from people who have run the process themselves; Covers equity, private credit, recapitalizations and M&A rather than a single financing product; Substantial network of post-exit founders and warm investor introductions; Fast, low-friction first step: a 30-minute partner call with a two-business-day reply target

**Limitations:** No published pricing, so cost and structure are unknown until you engage; Selective on fit — the site states that if Thunder is not the right fit, it will say so; Geographically concentrated in San Francisco, Los Angeles, New York and London

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

## Frequently Asked Questions

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

Salesforce Agentforce (formerly Einstein) has 111,910,743 monthly visits, while Thunder 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%; Thunder 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. Thunder: Contact for Pricing. Contact for pricing. Thunder does not publish fee schedules or retainer terms; engagement starts with a confidential partner call and a review of whether it is the right fit.

## 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 | [MacroMicro](https://openaitools.app/tool/macromicro) | 928,258 | +22.5% | Freemium, Paid | Global macro data and AI research platform for smarter economic decisions | [.md](https://openaitools.app/tool/macromicro.md) |
| 7 | [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) |
| 8 | [Origin](https://openaitools.app/tool/useorigin-com) | 377,484 | -9.1% | Free Trial, Paid | Meet your proactive AI financial advisor | [.md](https://openaitools.app/tool/useorigin-com.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 | [Aime](https://openaitools.app/tool/aime) | 260,428 | +11.4% | Freemium | AI investing copilot for stock research, screening and market signals | [.md](https://openaitools.app/tool/aime.md) |

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

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