Company profile
Datasource
Live profile
Led by Nicolas Vandeput and hosted by the datathon platform Datasource.ai, this competition challenges participants to develop advanced predictive models for ...
2022
nginx
AI Classification
DataSource.ai is a two-sided platform that hosts data science and AI competitions, enabling companies to sponsor challenges in exchange for AI/ML solutions while data scientists earn monetary rewards and NFT-based skill credentials. It serves a global community of 10,000+ practitioners across domains including fraud detection, customer segmentation, and forecasting.
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Tech Stack
Infrastructure
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Datasource is one of 2,671 B2B companies in the Kustiq directory.
Datasource sits among 114 ai / ml platform companies in our Data & AI directory.
Similar profiles: Betterworks, Amplitude, Hotnews, and Genesys.
How Datasource compares with other AI/ML Platform companies
Datasource is one of 114 AI/ML Platform companies profiled in the Kustiq DataAI directory, which holds 242 DataAI companies in total. Every number below is computed from those profiles.
The most common tech detections across the 32 peers with a visible stack are Next.js (47%), Vercel (44%), and Google Analytics (38%). Datasource lists none of them.
Among the 58 segment companies with disclosed funding, Growth is the most common stage (36%).
The median founding year across 32 peers with a known founding date is 2019. Datasource was founded in 2022.
Toronto is the most common HQ city in this segment, home to 11% of the 18 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 1 rendered page of datasource.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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