Company profile
UniData
Live profile
Order high-quality AI training data and related services to increase your ML model’s accuracy and efficiency.
2016
11-50
Dubai, Nad Al Sheba, AE
AI Classification
UniData is a Dubai-based AI training data company founded in 2016 that provides end-to-end data solutions including collection, annotation, and LLM training for global enterprise AI teams. They offer 70+ ready-to-use labeled datasets spanning biometric, medical, smart city, and multilingual categories, supported by 1,100+ annotators with a 3-tier quality control system.
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UniData is one of 2,671 B2B companies in the Kustiq directory.
UniData sits among 41 data services companies in our Data & AI directory.
Similar profiles: Complianceexperts, Resend · Email for developers, Cloud-based data analytics exploration for all, and Growthbook.
Both sit in the 11-50 headcount band, and Complianceexperts was founded in 2003, 13 years before UniData. See UniData vs Complianceexperts side by side.
Both sit in the 11-50 headcount band. See UniData vs Resend · Email for developers side by side.
Both sit in the 11-50 headcount band. See UniData vs Cloud-based data analytics exploration for all side by side.
How UniData compares with other Data Services companies
UniData is one of 41 Data Services companies profiled in the Kustiq DataAI directory, which holds 242 DataAI companies in total. Every number below is computed from those profiles.
UniData sits in the 11-50 headcount band. 30% of the 27 segment peers with a known team size are smaller. 41% of those peers share the same band.
The most common tech detections across the 13 peers with a visible stack are Google Analytics (46%), Google Fonts (38%), and Cloudflare (38%). UniData lists none of them.
Among the 17 segment companies with disclosed funding, Growth is the most common stage (53%).
The median founding year across 12 peers with a known founding date is 2014. UniData was founded in 2016.
New York is the most common HQ city in this segment, home to 22% of the 9 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 2 rendered pages of unidata.pro 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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