Company profile
Feast
Live profile
Feast is an end-to-end open source feature store for machine learning. It allows teams to define, manage, discover, and serve features.
1-10
San Francisco, CA
IPO
Public pricing page
AI Classification
Feast is an open source feature store for machine learning and AI applications, enabling teams to define, manage, discover, and serve structured data for model training and real-time inference. It supports use cases including fraud detection, recommendations, risk scoring, and customer segmentation, with integrations for offline and online data stores.
Deep Intelligence
Account Scoring
- Public pricing — predictable revenue
- IPO — mature / stable
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Competitors
Feast is one of 2,671 B2B companies in the Kustiq directory.
Feast sits among 50 data infrastructure companies in our Data & AI directory.
Similar profiles: Prospect Energy, No code browser automation & web scraping, AdPlexity, and Creators.
Both sit in the 1-10 headcount band, and both are at IPO. See Feast vs Prospect Energy side by side.
Both sit in the 1-10 headcount band, and No code browser automation & web scraping is at Series A ($200.0M) versus IPO for Feast. See Feast vs No code browser automation & web scraping side by side.
Both sit in the 1-10 headcount band, and AdPlexity is at Growth ($550K) versus IPO for Feast. See Feast vs AdPlexity side by side.
How Feast compares with other Data Infrastructure companies
Feast 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.
Feast sits in the 1-10 headcount band. 0% of the 40 segment peers with a known team size are smaller. 12% 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%). Feast lists none of them.
Among the 22 segment companies with disclosed funding, Seed is the most common stage (18%). Feast is at IPO.
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 feast.dev 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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