We detected 112 companies using Jeeva AI, 28 companies that churned, and 14 customers with upcoming renewal in the next 3 months. The most common industry is Software Development (14%) and the most common company size is 11-50 employees (37%). We find new customers by detecting JavaScript snippets or configurations on customer websites.
Note: We only track when a company installs the Jeeva AI tracking script on their website (majority of customers)
The count of new companies shown here may differ from the total in the table above. This is intentional. We apply a consistent baseline to ensure month-over-month comparisons are apples-to-apples rather than affected by when data was first collected.
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Market Insights
๐ข Top Industries
Software Development15 (14%)
Technology, Information and Internet14 (13%)
IT Services and IT Consulting13 (12%)
Information Technology & Services6 (6%)
Advertising Services5 (5%)
๐ Company Size Distribution
11-50 employees41 (37%)
2-10 employees31 (28%)
51-200 employees30 (27%)
201-500 employees7 (6%)
1,001-5,000 employees2 (2%)
๐ฅ What types of companies use Jeeva AI?
Source: Analysis of Linkedin bios of 112 companies that use Jeeva AI
Company Characteristics
i
Shows how much more likely Jeeva AI customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Funding Stage: Seed
23.0x
Industry: Technology, Information and Internet
13.6x
Industry: Software Development
13.4x
Industry: IT Services and IT Consulting
6.5x
Country: United States
6.4x
Company Size: 51-200
4.4x
I noticed that Jeeva AI's customers span an incredibly wide range of industries, but they share a common thread: they're in the business of selling something, whether it's software solutions, professional services, physical products, or specialized expertise. These aren't just tech companies. I see IT services firms like Codup and Synodus, staffing agencies like Artemis and Agency VA, marketing agencies like Affluence Media and Tribe Agency, manufacturers like Industrial Metal Supply and Harcourt Industrial, and even a vehicle dealership and a beauty product distributor. What connects them is that they all need to generate leads and close deals.
These companies sit across the full maturity spectrum. I see early stage startups like Released (pre-seed) and Culture OS (pre-seed with $125K funding), growth-stage companies with Series A or B funding like INGENIOUS.BUILD ($37M) and Guidewheel ($31M), and established businesses that have been operating for decades, like Baker Roofing (since 1915) and Industrial Metal Supply ( years old). The employee counts range from solo operations to mid-market firms with 200-500 people.
๐ง What other technologies do Jeeva AI customers also use?
Source: Analysis of tech stacks from 112 companies that use Jeeva AI
Commonly Paired Technologies
i
Shows how much more likely Jeeva AI customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that Jeeva AI users are clearly B2B companies with sophisticated digital marketing operations. The presence of LiveIntent at such a high correlation rate (1511.7x) tells me these companies are serious about email marketing and monetization, while ZoomInfo and LinkedIn Ads point to intent-driven, account-based approaches. This is a profile of companies that invest heavily in demand generation and lead nurturing through content and targeted outreach.
The pairing of HubSpot Marketing Hub with Wistia is particularly revealing. These companies are building content engines, likely using video in their marketing automation workflows to educate prospects and move them through longer sales cycles. The combination of Webflow and Wistia suggests they're creating rich, visual web experiences with embedded video content, probably for product demonstrations or thought leadership. Meanwhile, ZoomInfo combined with LinkedIn Ads indicates a precise targeting strategy where they identify specific accounts and decision-makers, then reach them through professional channels.
My analysis shows these are marketing-led organizations in growth stage, likely Series A through C. The tech stack is too sophisticated for early-stage startups but doesn't have the enterprise complexity of later-stage companies. They're focused on scalable demand generation rather than one-to-one sales outreach. The emphasis on content creation tools (Wistia, Webflow) alongside marketing automation (HubSpot) and advertising platforms suggests they're building repeatable systems to generate pipeline, not relying purely on sales development teams.
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