aid: datologyai
name: DatologyAI
description: 'DatologyAI is a data curation and optimization platform that automatically
  identifies, prioritizes, and curates training data at petabyte scale so teams can
  train machine learning and foundation models that are better, faster, and smaller.
  Founded on the principle that "models are what they eat," its research-driven pipeline
  improves model quality while cutting compute cost and training time, and is used
  by AI labs and enterprises building frontier open models. The company is venture-backed
  by Amplify Partners and Felicis. DatologyAI operates as an enterprise, contact-sales
  service and does not currently publish a public developer API, SDKs, or documentation
  portal.'
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://www.datologyai.com/api/media/file/open_graph-1200x630.png
url: https://raw.githubusercontent.com/api-evangelist/datologyai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- amplify-partners
- felicis
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Ai Ml
- Data Curation
- Machine Learning
- Training Data
- Foundation Models
- Data Optimization
- Artificial Intelligence
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://datologyai.com
- type: Blog
  url: https://datologyai.com/blog
- type: Support
  url: https://datologyai.com/contact
- type: TermsOfService
  url: https://datologyai.com/terms-of-service
- type: PrivacyPolicy
  url: https://datologyai.com/privacy-policy
- type: DomainSecurity
  url: security/datologyai-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence