Company profile
IEEE DataPort
Live profile
IEEE DataPort is a research data platform designed to make scientific data openly accessible to all and help researchers and institutions share research, manage their data, and collaborate with peers.
501-1000
Astro
Public pricing page
AI Classification
IEEE DataPort is a research data platform operated by the IEEE that hosts 11,000+ scientific datasets for researchers, institutions, and data analysts. It offers open access, individual, and institutional subscription tiers with tools for data storage, DOI assignment, citation tracking, and data management planning.
Deep Intelligence
Account Scoring
- Public pricing — predictable revenue
- High competitive pressure
Tech Stack
Framework
Similar Companies
Social Links
Competitors
IEEE DataPort is one of 2,673 B2B companies in the Kustiq directory.
IEEE DataPort sits among 50 data infrastructure companies in our Data & AI directory.
Similar profiles: Amplitude, BigID, Campus Media TV SRL, and Free Online Appointment Scheduling Software.
Both sit in the 501-1000 headcount band. See IEEE DataPort vs Amplitude side by side.
Both sit in the 501-1000 headcount band. See IEEE DataPort vs BigID side by side.
Both sit in the 501-1000 headcount band. See IEEE DataPort vs Campus Media TV SRL side by side.
How IEEE DataPort compares with other Data Infrastructure companies
IEEE DataPort is one of 50 Data Infrastructure companies profiled in the Kustiq DataAI directory, which holds 242 DataAI companies in total. Every number below is computed from those profiles.
IEEE DataPort sits in the 501-1000 headcount band. 80% of the 40 segment peers with a known team size are smaller. 15% of those peers share the same band.
The most common tech detections across the 16 peers with a visible stack are Cloudflare (56%), Vercel (31%), and Next.js (31%). IEEE DataPort lists none of them.
Among the 22 segment companies with disclosed funding, Seed is the most common stage (18%).
The median founding year across 13 peers with a known founding date is 2015.
San Francisco is the most common HQ city in this segment, home to 20% of the 10 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 5 rendered pages of ieee-dataport.org 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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