Companies that use OctaneAI

Analyzed and validated by Henley Wing Chiu

OctaneAI We detected 1,600 companies using OctaneAI, 56 companies that churned, and 3 customers with upcoming renewal in the next 3 months. The most common industry is Retail (40%) and the most common company size is 2-10 employees (59%). We find new customers by detecting JavaScript snippets or configurations on customer websites.

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Company Employees Industry Region YoY Headcount Growth Usage Start Date
Dad Grass 2–10 Manufacturing US +40% 2026-02-12
Novoqueen Pro 2–10 Retail CA +100% 2026-02-12
PurityLabs 2–10 Retail NL N/A 2026-02-12
OFRA Cosmetics 51–200 Personal Care Product Manufacturing US N/A 2026-02-12
Liberty Belle Rx 11–50 Personal Care Product Manufacturing AU N/A 2026-02-10
Oaktree Memorials 2–10 Retail US N/A 2026-02-10
DIME Beauty Co 11–50 Manufacturing US +11.3% 2026-02-10
Grub Club | B Corp 2–10 Manufacturing GB +14.3% 2026-02-07
EMPOWER EHF 2–10 Retail IS N/A 2026-02-07
Wine Club Canada 2–10 Retail CA N/A 2026-02-06
Maelove Skincare 2–10 Retail US N/A 2026-02-06
pawital 2–10 Retail SI N/A 2026-02-06
Bath & Body Fusion 11–50 Retail Health and Personal Care Products US N/A 2026-02-05
Beef Magic 2–10 Retail US N/A 2026-02-05
Dieux 11–50 Manufacturing US +31.3% 2026-02-05
Boho Locs 2–10 Manufacturing GB 0% 2026-02-04
My Wine Canada 2–10 Food & Beverages CA N/A 2026-02-04
Apollo Neuro 11–50 Wellness and Fitness Services US -13.6% 2026-02-02
Homedics 201–500 Manufacturing US +7.7% 2026-02-01
Art Wise 2–10 Artists and Writers US 0% 2026-01-31
Showing 1-20 of 1,600

Market Insights

🏢 Top Industries

Retail 596 (40%)
Personal Care Product Manufacturing 173 (12%)
Wellness and Fitness Services 140 (9%)
Manufacturing 77 (5%)
Retail Health and Personal Care Products 73 (5%)

📏 Company Size Distribution

2-10 employees 911 (59%)
11-50 employees 422 (27%)
51-200 employees 151 (10%)
201-500 employees 30 (2%)
1 employee employees 11 (1%)

👥 What types of companies use OctaneAI?

Source: Analysis of Linkedin bios of 1,600 companies that use OctaneAI

I noticed OctaneAI's typical customers are direct-to-consumer brands selling physical products in personal care, beauty, wellness, and lifestyle categories. The dominant pattern is skincare and cosmetics companies, followed closely by nutritional supplements, specialty foods and beverages, and niche sporting goods or outdoor equipment. These aren't mass-market giants, they're specialized brands with distinct product philosophies, whether that's "surgically-precise skincare," "all-natural dog treats," or "handmade leather work boots."

Most appear to be in growth stage, not early startup or mature enterprise. Employee counts cluster between 11-50, with some reaching 51-200. Funding is relatively modest when present, typically seed rounds or small Series A investments under $5M. Many show no funding at all, suggesting bootstrapped growth. The companies have established products and distribution but aren't yet household names.

🔧 What other technologies do OctaneAI customers also use?

Source: Analysis of tech stacks from 1,600 companies that use OctaneAI

Commonly Paired Technologies
i
Technology
Likelihood
594.7x
413.8x
320.4x
307.6x
225.0x
75.7x
I noticed that OctaneAI users are clearly direct-to-consumer subscription ecommerce brands, likely on Shopify. The presence of Recharge in 719 companies at 225x the normal rate immediately signals a subscription business model. These aren't one-time purchase stores. They're building recurring revenue through products like supplements, beauty products, or consumables that customers reorder regularly.

The pairing of Rebuy Engine and Intelligems is particularly telling. Rebuy handles post-purchase upsells and smart product recommendations, while Intelligems runs price testing and experimentation. Together with OctaneAI, which specializes in quiz funnels and conversational experiences, these companies are obsessed with conversion rate optimization at every touchpoint. They're using quizzes to personalize product recommendations, testing different price points to maximize margins, and creating sophisticated post-purchase flows. Triple Whale appearing 307x more often confirms they're data-driven operators who need unified analytics across their entire acquisition and retention funnel.

The full stack reveals marketing-led companies in their growth or scale-up phase. Klaviyo's presence (1,439 companies) shows sophisticated email and SMS marketing automation. Gorgias indicates they're handling enough customer service volume to need specialized ecommerce support tools. These aren't early startups figuring things out, and they're not enterprise companies with custom solutions. They're in that sweet spot where they've found product-market fit, they're scaling their customer acquisition, and they need best-in-class tools to optimize every percentage point of conversion and retention.

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