Companies that use Warm AI

Analyzed and validated by Henley Wing Chiu · Updated November 9, 2026

We detected 14 companies using Warm AI and 2 companies that churned. The most common industry is Software Development (33%) and the most common company size is 11-50 employees (44%). We find new customers by detecting JavaScript snippets or configurations on customer websites.

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Company	Employees	Industry	Country	Region	Usage Start Date
Attract Group	51–200	Information Technology & Services	United States	North America	2026-10-14
LOIS Leasing	11–50	Software Development	New Zealand	Oceania	2026-10-05
Limitr	2–10	Software Development	N/A	N/A	2026-10-05
Dapple	2–10	Software Development	United Kingdom	Europe	2026-10-05
Trexo Robotics	11–50	Medical Equipment Manufacturing	Canada	North America	2026-08-25
Desku - Ai Customer Service Software	11–50	Business Intelligence Platforms	United States	North America	2026-04-24
Fairino America North Co.	51–200	Robotics Engineering	United States	North America
Cocoon Technology	11–50	IT Services and IT Consulting	United Kingdom	Europe
Warm AI	2–10	Technology, Information and Internet	United Kingdom	N/A

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Market Insights

🏢 Top Industries

Software Development 3 (33%)

Business Intelligence Platforms 1 (11%)

IT Services and IT Consulting 1 (11%)

Information Technology & Services 1 (11%)

Medical Equipment Manufacturing 1 (11%)

📏 Company Size Distribution

11-50 employees 4 (44%)

2-10 employees 3 (33%)

51-200 employees 2 (22%)

👥 What types of companies use Warm AI?

Source: Analysis of Linkedin bios of 14 companies that use Warm AI

I noticed that Warm AI's customers are predominantly B2B software and service companies building platforms that need to generate leads and convert visitors into customers. About half are SaaS companies creating specialized tools (lease accounting, submission management, usage control, customer support), while others offer professional services like marketing, IT consulting, or custom software development. There's also a small cluster in hardware and robotics, suggesting the tool works across both digital and physical products.

These are predominantly early-stage to early-growth companies. The employee counts cluster heavily in the 2-50 range, with most under 20 people. Funding is sparse: only two mention raising capital (one Series A at $37M, one preseed at $120K). Several list no funding at all. The lean team sizes and limited funding suggest these are companies in that critical phase where every lead matters and they can't afford expensive enterprise sales tools or large marketing teams.