# Salesforce Agentforce (formerly Einstein) vs SumoPPM

Salesforce Agentforce (formerly Einstein) records 111,910,743 monthly visits with +2.2% month-over-month growth and Freemium pricing. SumoPPM records 1,022 monthly visits with -35.4% growth and Contact for Pricing pricing.

| Metric | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | [SumoPPM](https://openaitools.app/tool/sumoppm) |
| :--- | :--- | :--- |
| Website URL | https://www.salesforce.com/agentforce/ | https://www.sumoppm.com |
| Categories | AI App Builder, AI Developer Tools, AI CRM, No-Code&Low-Code | AI Productivity Tools, AI Agent, AI Chatbot, AI Web Scraping |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 111,910,743 | 1,022 |
| MoM Growth Rate | +2.2% | -35.4% |
| Primary Market | United States | Spain |
| Direct Visits | 60,741,009 | 419 |
| Review Score | 4.4 | 4.1 |
| Saved Count | 20 | 1 |
| 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)

## SumoPPM

SumoPPM describes its purpose as making enterprise AI do real work rather than remain in pilot stage. The core argument is that most companies have AI models ready but messy, fragmented data underneath them. SumoData addresses that gap: you connect your systems once, apply permissions and business rules once, and then reuse the resulting governed data across every agent and AI application that follows, with the system keeping data synchronised between connected tools.

On top of that foundation sit three application products. SummaBid works on commercial intelligence, identifying, analysing and prioritising opportunities in public and private markets and turning them into proposals and sales actions tailored to an industry. SumoMedia covers marketing content production and management for social channels and brand-specific text, images and video. SumoAgents provides digital workers that automate tasks and processes from start to finish by connecting models, data and tools, with permissions and traceability built in so automated actions can be reviewed.

The buying model matches an enterprise, services-led go-to-market. There are no published self-serve tiers; instead the site routes interested companies through a demo request covering what they need to connect, automate or discover. The site was refreshed around 2026 and presents the four-product structure consistently, with a privacy policy and contact routes for security, partners and trust information.

**Pricing & Plans:** Contact for pricing. SumoPPM does not publish self-serve plans or per-seat rates; enterprises request a demo or more information and pricing is arranged with the vendor.

- **Unified data layer (SumoData):** Connect company systems once, apply permissions and business rules once, then reuse the governed data across every agent and AI application.
- **Commercial intelligence (SummaBid):** Identify, analyse and prioritise opportunities in public and private markets and convert them into proposals and sales actions.
- **Marketing content automation (SumoMedia):** Research, create and manage brand content for social media, generating text, images and video adapted to each channel.
- **Digital workers (SumoAgents):** Automate end-to-end processes by connecting models, data and tools, with permissions and traceability for automated actions.
- **AI-driven data sync:** Keeps information updated across connected systems so downstream agents and applications work from current data.

**Strengths:** Data layer is treated as a first-class product rather than a hidden dependency of the AI features; Product set spans data, sales intelligence, marketing and automations, so teams can connect related workflows; Automated actions are designed with permissions and traceability in mind, which matters for enterprise governance; Clear enterprise positioning with demo-led onboarding rather than forcing self-serve experimentation

**Limitations:** No published pricing or plan comparison, so evaluating cost requires contacting the vendor; No free trial or self-serve tier to test the products before a sales conversation; Effectiveness depends on how well a company's existing systems can be integrated, which is an implementation-heavy process

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

## Frequently Asked Questions

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

Salesforce Agentforce (formerly Einstein) has 111,910,743 monthly visits, while SumoPPM has 1,022. 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%; SumoPPM has -35.4%.

### 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. SumoPPM: Contact for Pricing. Contact for pricing. SumoPPM does not publish self-serve plans or per-seat rates; enterprises request a demo or more information and pricing is arranged with the vendor.

## 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 | [Glean](https://openaitools.app/tool/glean) | 3,301,875 | +0.1% | Contact for Pricing | Enterprise AI grounded in your company's own knowledge | [.md](https://openaitools.app/tool/glean.md) |
| 4 | [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) |
| 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 | 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) |
| 7 | [CollegeVine](https://openaitools.app/tool/collegevine) | 1,182,494 | +25.9% | Contact for Pricing | An AI operating system that models your whole university on one platform | [.md](https://openaitools.app/tool/collegevine.md) |
| 8 | [CREAO](https://openaitools.app/tool/creao) | 619,749 | +39.2% | Freemium | AI agents that run recurring business work for your team | [.md](https://openaitools.app/tool/creao.md) |
| 9 | [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) |
| 10 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | AI data infrastructure for building production-grade models | [.md](https://openaitools.app/tool/super-annotate.md) |

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

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