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Salesforce Agentforce (formerly Einstein) records 111,910,743 monthly visits with +2.2% month-over-month growth and Freemium pricing. Unlearn.AI records 17,107 monthly visits with -32.5% growth and Contact for Pricing pricing.
Autonomous enterprise AI agents and CRM intelligence powered by Salesforce Data 360 and Atlas.
AI-generated digital twins that make clinical trials smaller, faster, and more informative
| Dimension / Metric | | |
|---|---|---|
| Official Domain | salesforce.com | unlearn.ai |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 111.91M (111,910,743) | 17.11K (17,107) |
| MoM Traffic Delta | +2.4M (+2.2%) | -8.23K (-32.5%) |
| Primary Market & Share | 🇺🇸 United States (43%) | 🇺🇸 United States (69.4%) |
| Direct Visits / mo | 60.74M | 7.49K |
| User Rating | 4.4 | 4.4 |
| Supported Platforms | Website | Website |
Autonomous enterprise AI agents and CRM intelligence powered by Salesforce Data 360 and Atlas.
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.
Configure custom agents, subagents, natural-language instructions, and deterministic guardrails using existing Salesforce Flows, Prompt Builder templates, Apex code, and MuleSoft APIs.
Coordinate specialized subagents across departments and connect securely to external enterprise tools through verified Model Context Protocol (MCP) servers from AgentExchange partners.
Replace rigid telephone IVR trees with low-latency conversational voice agents alongside unified deployments across web chat, WhatsApp, SMS, mobile apps, and Slack.
AI-generated digital twins that make clinical trials smaller, faster, and more informative
Model-based forecasts of each participant's clinical outcomes, generated from baseline data already collected, that act as a virtual comparator or as additional information per enrolled patient.
A twin-based covariate adjustment approach that Unlearn describes as EMA-qualified and FDA-supported, used to reduce sample size in randomized controlled trials while maintaining power.
Build and compare design scenarios — endpoints, eligibility criteria, sample size, assumptions — so governance decisions are made with quantified tradeoffs instead of positions.
Pre-specified twin-based analyses added to the statistical analysis plan before unblinding, plus twin-adjusted analysis delivered at interim and at readout.
AI-powered web hosting platform combining prompt-based website building with one-click managed OpenClaw agent deployments.
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