11x

What it claims to do

• 24/7 Operations
• Multilingual
• Autonomous Intelligence

Claimed benefit. Time-saving, cost-effective, scalable outbound efforts without sacrificing personalization

Reported use case. AI SDR (Alice) helped scale outbound efforts, saving $500k on hiring costs

Source: the vendor and the capability mapping work behind this map. The Revenue AI Report has not independently verified these figures. Verified findings live in Research, with method, sample, and field date attached. Unfamiliar terms are defined in the AI and Revenue Dictionary.

Published case studies

• Checkr

  Scaled pipeline with 11x and achieved a 700% ROI.

  Read the 11x case study ↗

• Leica Biosystems

  Reported new pipeline generated and a 9.7% reply rate on outbound email.

  Read the 11x case study ↗

• Questex

  Doubled the number of qualified outbound meetings booked and achieved a 5x ROI.

  Read the 11x case study ↗

We found a minimum of 3 published case studies here. There may be more we have not found. Case studies are published by the vendor. Customer names, figures, and outcomes are the vendor's claims. The Revenue AI Report has not audited them. Independently checked findings live in Research, with method, sample, and field date attached.

How to read these claims

The sample is chosen by the seller

A case study is the best result the vendor is allowed to publish. It is not a sample of all customers. The accounts that churned do not get a page.

There is no control group

Almost no vendor study compares the team using the tool against a matched team that did not. Without that comparison, the lift reported cannot be separated from headcount changes, pricing changes, seasonality, or a good quarter.

The baseline is usually missing

A percentage gain means nothing without the starting number. A 300% increase in meetings from two meetings a week is eight. Ask for the absolute figures and the time window.

Activity is not revenue

Most published gains are activity metrics: emails sent, replies, hours saved, meetings booked. Closed revenue, win rate, and retention are the metrics that survive a board meeting. Ask which one the study actually measured.

Named logos are not always customers

Logos and case studies have been published for accounts that had already churned or had only run a pilot. Ask the reference directly, by name, and ask how long they have been live.

Field notes: what users say in public

Independent feedback from review sites and practitioner forums, not vendor marketing. This is what a buyer would hear from a peer who has already run the tool.

Backed by strong investors but carries a credibility hit and steep price; vet references before committing budget.

Ask these on the call

1. 01What specifically changed after the credibility issues referenced in independent reviews, and can we speak to a reference customer from after that point?
2. 02What is the real cost per booked meeting once the $5,000+/month base fee is included?

How to read review evidence

Review sites are a biased sample

Most reviews are collected by the vendor, often with an incentive attached. Scores cluster high across the whole category, so a 4.6 average is closer to par than to proof. Read the one and two star reviews first, and read the most recent ones, because product and pricing change faster than the average score does.

Forums show the failure modes, not the base rate

Reddit and Hacker News threads surface what breaks, which is exactly what a business case needs. They do not tell you how common the problem is. Treat a repeated complaint as a question for the vendor, not as a verdict.

Complaints about price are usually complaints about structure

Seat minimums, credit packs that expire, annual lock-in, and per-action pricing produce most of the pricing anger in public reviews. Get the structure in writing, not the headline number.

Ratings are a snapshot

Every score here is dated. Check the live page before you cite it in a board deck.

The friction above is the tool level version of a pattern the Report has already measured. See The proof gap for the method, sample, and field date behind it.

Claims versus the record

Independent reporting has contradicted part of what this vendor has claimed in public. That does not mean the product does not work. It means the published numbers need a harder reference check before they enter a business case.

• The claim

  11x published customer logos and case studies for its AI SDR and told investors it was growing annual recurring revenue fast, presenting that growth as proof the product worked.

  What the record shows

  TechCrunch reported in March 2025, citing roughly two dozen sources including investors and current and former employees, that several companies whose logos 11x displayed said they were not customers or had already churned. ZoomInfo and Airtable were named. The reporting also described churn and real revenue well below the numbers the company was citing.

  TechCrunch, March 2025 ↗

What has to be true before you buy

The Report does not review tools in isolation. Every tool on this map is connected to three things we publish elsewhere on the site: a decision framework that tells you how to evaluate it, a research theme that shows what we have measured in the market around it, and an essay that applies both to a real case. Those links appear at the bottom of this section so you can verify our reasoning instead of taking this page at face value.

Ambition level: Amplify

The structure changes. Judge it on win rate, forecast accuracy, or churn, with a baseline.

Get accepted and qualified rates, not meetings booked, before the contract is signed.

Friction at this stage

• Dirty lists and stale contact data
• Generic personalization
• Manual account research

Common questions about 11x

What does 11x do?

AI-powered digital workers that transform businesses by automating tasks and operating 24/7 with human-like intelligence. It sits in the Sales Automation & AI SDRs category and maps to the Prospecting stage of the revenue journey.

Where does 11x fit in a revenue team?

11x maps to the Prospecting stage at the Amplify level of ambition, and is usually owned by the Sales seat. Reported use: AI SDR (Alice) helped scale outbound efforts, saving $500k on hiring costs

Does 11x publish customer case studies?

Yes. 3 named customer stories are published, including Checkr, Leica Biosystems, Questex. These are vendor claims, not figures verified by The Revenue AI Report. A case study is the best result a vendor is allowed to publish, not a sample of all customers.

What do buyers say about 11x?

Public score 4.4 on G2 from 32 reviews, observed May 2026. Backed by strong investors but carries a credibility hit and steep price; vet references before committing budget.

What should we ask 11x before buying?

What specifically changed after the credibility issues referenced in independent reviews, and can we speak to a reference customer from after that point? What is the real cost per booked meeting once the $5,000+/month base fee is included?

Are there discrepancies between 11x's claims and the public record?

11x published customer logos and case studies for its AI SDR and told investors it was growing annual recurring revenue fast, presenting that growth as proof the product worked. TechCrunch reported in March 2025, citing roughly two dozen sources including investors and current and former employees, that several companies whose logos 11x displayed said they were not customers or had already churned. ZoomInfo and Airtable were named. The reporting also described churn and real revenue well below the numbers the company was citing. Reported by TechCrunch, March 2025.

Answers are assembled from the vendor material, published case studies, and independent evidence shown on this page. Terms are defined in the AI and Revenue Dictionary.