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, Artificial Intelligence, Machine-Learning, MLOps, and Experiment Tracking.
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
deliveryModel:
model: unknown
open_source: false
commercial: false
callable_host: false
label: Delivery model not determined — needs a product licence on record
confidence: low
source:
- none
generated: '2026-08-28'
method: derived
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: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Artificial Intelligence
- Machine-Learning
- MLOps
- Experiment Tracking
- Distributed Training
- Developer Tools
- Defunct
tags_raw:
- 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
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