SigOpt

SigOpt was a machine learning experimentation and optimization platform whose API applied ensemble Bayesian and black-box optimization to tune model hyperparameters, run design-of-experiments, and track experiment metadata at scale. Developers integrated its REST API and first-party clients (Python, Java, R, scikit-learn, Spark, MATLAB) to drive automated hyperparameter search from their training loops. SigOpt was acquired by Intel in 2020 and its hosted API and platform were subsequently discontinued; sigopt.com now redirects to an Intel corporate redirector and the api./app./docs.sigopt.com hosts no longer resolve. The GitHub organization (github.com/sigopt) and the published client libraries remain public as historical, first-party artifacts, including an open-sourced server and optimization engine (sigopt-server, sigoptlite, libsigopt).

SigOpt is profiled on the APIs.io network. Tagged areas include Company, Machine-Learning, Optimization, Hyperparameter Tuning, and Experimentation.

🌐 Visit website 📡 Source on GitHub

0 APIs

Company Machine-Learning OptimizationHyperparameter TuningExperimentationBayesian OptimizationMLOps Data Science Defunct

Resources

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

SourceCode

Packages

SDKs

Company 1

The organization behind the API

Website

Website

Source (apis.yml)

aid: sigopt
deliveryModel:
  model: library
  open_source: false
  commercial: false
  callable_host: false
  label: Library · distributed through package registries, no callable service
  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://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/sigopt.png
name: SigOpt
description: SigOpt was a machine learning experimentation and optimization platform whose API applied ensemble Bayesian and
  black-box optimization to tune model hyperparameters, run design-of-experiments, and track experiment metadata at scale.
  Developers integrated its REST API and first-party clients (Python, Java, R, scikit-learn, Spark, MATLAB) to drive automated
  hyperparameter search from their training loops. SigOpt was acquired by Intel in 2020 and its hosted API and platform were
  subsequently discontinued; sigopt.com now redirects to an Intel corporate redirector and the api./app./docs.sigopt.com hosts
  no longer resolve. The GitHub organization (github.com/sigopt) and the published client libraries remain public as historical,
  first-party artifacts, including an open-sourced server and optimization engine (sigopt-server, sigoptlite, libsigopt).
url: https://raw.githubusercontent.com/api-evangelist/sigopt/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- a16z
- dcvc
x-tier: stub
x-tier-reason: portfolio-lead
x-status: defunct
x-status-reason: Acquired by Intel (2020); hosted API/platform shut down. Only historical first-party packages and the public
  GitHub organization survive.
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Machine-Learning
- Optimization
- Hyperparameter Tuning
- Experimentation
- Bayesian Optimization
- MLOps
- Data Science
- Defunct
tags_raw:
- Company
- Machine Learning
- Optimization
- Hyperparameter Tuning
- Experimentation
- Bayesian Optimization
- MLOps
- Data Science
- Defunct
apis: []
common:
- type: Website
  url: https://sigopt.com
- type: GitHubOrganization
  url: https://github.com/sigopt
- type: SourceCode
  url: https://github.com/sigopt
- type: Packages
  url: packages/sigopt-packages.yml
- type: SDKs
  url: packages/sigopt-packages.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 1
  pass: local-v1

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