Engine ML website screenshot

Engine ML

Engine ML was a machine-learning infrastructure startup (founded 2018, backed by Kleiner Perkins) that offered a hosted platform for distributed model training and experiment tracking. Its product surface centered on the `engine` command-line tool and the `eml` Python library, which let data scientists launch experiments, track code, system utilization, logs, and output files, and run image classifiers (PyTorch/TensorFlow/Keras) against datasets such as MNIST. The company appears to be defunct: engineml.com serves an empty page behind an expired TLS certificate (expired March 2023), the documentation site docs.engineml.com returns an empty S3 bucket, and the public GitHub organization (EngineML) has not been updated since 2020-2021. No live API, OpenAPI description, package-registry release, or reachable developer docs could be found. This profile preserves the historical identity and the still- live GitHub organization as the only verifiable surviving surface.

Engine ML is profiled on the APIs.io network. Tagged areas include Company, Ai, Machine Learning, MLOps, and Experiment Tracking.

🌐 Visit website 📡 Source on GitHub
7.4/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
CompanyAiMachine LearningMLOpsExperiment TrackingDistributed TrainingDeveloper ToolsDefunct

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 7.4/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.0 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/engine-ml: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Engine Ml Domain Security

no transport/DNS hardening detected

SECURITY

Resources

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Company 1

The organization behind the API

Website
Website

Source (apis.yml)

apis.yml Raw ↑ 
aid: engine-ml
name: Engine ML
description: 'Engine ML was a machine-learning infrastructure startup (founded 2018, backed by Kleiner Perkins) that offered
  a hosted platform for distributed model training and experiment tracking. Its product surface centered on the `engine` command-line
  tool and the `eml` Python library, which let data scientists launch experiments, track code, system utilization, logs, and
  output files, and run image classifiers (PyTorch/TensorFlow/Keras) against datasets such as MNIST. The company appears to
  be defunct: engineml.com serves an empty page behind an expired TLS certificate (expired March 2023), the documentation
  site docs.engineml.com returns an empty S3 bucket, and the public GitHub organization (EngineML) has not been updated since
  2020-2021. No live API, OpenAPI description, package-registry release, or reachable developer docs could be found. This
  profile preserves the historical identity and the still- live GitHub organization as the only verifiable surviving surface.'
url: https://raw.githubusercontent.com/api-evangelist/engine-ml/refs/heads/main/apis.yml
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://avatars.githubusercontent.com/u/43284809?v=4
x-type: company
x-source: vc-portfolio
x-backed-by:
- kleiner-perkins
x-tier: stub
x-tier-reason: portfolio-lead
x-status: defunct
x-status-evidence: engineml.com TLS cert expired 2023-03-28; docs.engineml.com S3 NoSuchKey; GitHub org last updated 2021-01
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Ai
- Machine Learning
- MLOps
- Experiment Tracking
- Distributed Training
- Developer Tools
- Defunct
common:
- type: DomainSecurity
  url: security/engine-ml-domain-security.yml
- type: GitHubOrganization
  url: https://github.com/EngineML
- type: Website
  url: https://engineml.com
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence