Company profile
Juma
Live profile
The AI workspace where agencies and teams run marketing flows end-to-end — from Google and Meta Ads reports to SEO articles, carousels, and campaign briefs. Free to start.
11-50
Wilmington, DE, US
Webflow
Public pricing page
AI Classification
Juma is an AI-powered marketing workspace that enables agencies and in-house teams to automate end-to-end marketing workflows via 700+ pre-built flows covering content creation, paid ads reporting, SEO, and strategy. It targets marketing agencies and brand teams with unlimited-seat team pricing starting at $49/month.
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Tech Stack
CMS
Similar Companies
Competitors
Juma is one of 2,673 B2B companies in the Kustiq directory.
Juma sits among 219 martech vendor companies in our MarTech directory.
Similar profiles: FixnHour, Market Research Services & Reports, Techreviewer, and Instantly.
Both sit in the 11-50 headcount band. See Juma vs FixnHour side by side.
Both sit in the 11-50 headcount band. See Juma vs Market Research Services & Reports side by side.
Both sit in the 11-50 headcount band. See Juma vs Techreviewer side by side.
How Juma compares with other MarTech Vendor companies
Juma is one of 219 MarTech Vendor companies profiled in the Kustiq MarTech directory, which holds 311 MarTech companies in total. Every number below is computed from those profiles.
Juma sits in the 11-50 headcount band. 29% of the 159 segment peers with a known team size are smaller. 28% of those peers share the same band.
The most common tech detections across the 79 peers with a visible stack are Cloudflare (53%), Google Analytics (19%), and WordPress (16%). Juma lists none of them.
Among the 87 segment companies with disclosed funding, Growth is the most common stage (70%).
The median founding year across 54 peers with a known founding date is 2014.
London is the most common HQ city in this segment, home to 7% of the 44 peers with a known location.
Benchmarks are recomputed from live directory data, so they move as profiles refresh. Counts cover Kustiq-profiled companies, not the whole market.
How this profile was built
- Live web rendering via Browserless headless Chrome, not a stale cached scrape.
- Search intelligence via Serper API across the company site, LinkedIn, press, and GitHub.
- Claude only picks the buckets. It never decides facts.
- 12-factor churn engine. Deterministic score, zero LLM at scoring time.
- SMTP RCPT TO handshake on every contact, at delivery time on full profiles (paid plan).
This profile was built from 4 rendered pages of juma.ai and search coverage across the live web on .
Read the full methodology in our LLM-readable reference or compare against the deterministic-vs-AI framework.
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