# Ohm (formerly Byterat) vs Salesforce Agentforce (formerly Einstein)

Ohm (formerly Byterat) records 0 monthly visits with 0% 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 | [Ohm (formerly Byterat)](https://openaitools.app/tool/byterat) | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) |
| :--- | :--- | :--- |
| Website URL | https://www.byterat.io | https://www.salesforce.com/agentforce/ |
| Categories | AI Agent, AI For Data Analytics, AI Answer, AI Assistant | AI App Builder, AI Developer Tools, AI CRM, No-Code&Low-Code |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 0 | 111,910,743 |
| MoM Growth Rate | 0% | +2.2% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 60,741,009 |
| Review Score | 4.1 | 4.4 |
| Saved Count | 1 | 20 |
| Supported Platforms | Website | Website |

## Ohm (formerly Byterat)

Ohm (formerly Byterat) is an AI platform purpose-built for engineering and test labs that develop complex physical products such as batteries, electric vehicles, wearables and aerospace hardware. It connects directly to test equipment, supplier specifications and manufacturing databases, then normalizes time-series data, spreadsheets and documents into a single centralized data layer with automated quality checks that flag outliers, test errors and bugs.

On top of that foundation, Ohm layers an agentic AI system it calls AI co-scientists. These agents run multi-step engineering analyses in minutes rather than days: ranking likely root causes with confidence scores, drafting investigation plans, setting up recurring automated workflows, and predicting experiment outcomes early so teams can cut unnecessary tests with confidence. Retrieved knowledge compounds over time, so each analysis makes later ones smarter.

The company rebranded from Byterat to Ohm and now markets itself as frontier AI for engineering labs, with enterprise security credentials including SOC 2 Type II and ISO 27001. Because it targets Fortune 100 hardware programs, there is no public self-serve price list; interested teams book an intro call to scope a deployment.

**Pricing & Plans:** Enterprise/contact-for-pricing. No public tiers or self-serve plans; prospective customers book an intro call to scope a deployment. The former Byterat pricing page now returns HTTP 410 Gone.

- **Centralized test data layer:** Automatically ingests, transforms, connects and contextualizes multi-modal data streams including time-series instrument output, Excel files and documents into one searchable foundation.
- **Automated data quality checks:** Scans incoming and historical data for outliers, test errors and bugs so downstream analysis and decisions rest on trustworthy inputs.
- **Agentic AI co-scientists:** Domain-specific agents complete complex multi-step engineering analyses in minutes, covering root cause ranking, investigation planning and structured experiment analysis.
- **Predictive experiment modeling:** Uses historical and early-stage results to forecast outcomes with confidence bands, helping teams cut unnecessary tests and optimize test planning.
- **Enterprise security and governance:** Security controls are built into every layer, supported by SOC 2 Type II and ISO 27001 compliance and a public trust center.

**Strengths:** Purpose-built for hardware test labs rather than adapted from generic business analytics; Connects to real test equipment, supplier specs and manufacturing databases out of the box; Agentic analysis produces investigation plans and confidence-ranked root causes, not just charts; Enterprise-grade compliance posture with SOC 2 Type II and ISO 27001

**Limitations:** No public pricing or free trial, so evaluation requires a sales conversation; Value depends on having substantial historical test data to learn from; Aimed at large engineering organizations, so small teams may find it heavy

[Profile (Markdown)](https://openaitools.app/tool/byterat.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 Ohm (formerly Byterat) and Salesforce Agentforce (formerly Einstein) compare in monthly traffic?

Ohm (formerly Byterat) has 0 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?

Ohm (formerly Byterat) has a month-over-month growth rate of 0%; Salesforce Agentforce (formerly Einstein) has +2.2%.

### How does pricing compare?

Ohm (formerly Byterat): Contact for Pricing. Enterprise/contact-for-pricing. No public tiers or self-serve plans; prospective customers book an intro call to scope a deployment. The former Byterat pricing page now returns HTTP 410 Gone. 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 | [Abacus.AI](https://openaitools.app/tool/abacus-ai) | 3,278,636 | -1.7% | Contact for Pricing | An all-in-one AI super assistant for professionals and enterprises | [.md](https://openaitools.app/tool/abacus-ai.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 | [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/byterat-vs-salesforce-einstein

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