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Kili Technology vs Prodigy

Kili Technology

kili-technology.com

Prodigy

prodigy.ai

Side by side

FigureKili TechnologyProdigy
Price from——
Free plan——
Free trialYes—
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
APIYesYes
Self-hostedYesYes
Plans published32
Spec score · AI Image Annotation Tools7.7 (#13)8.4 (#6)
Spec score · AI Data Labeling Tools7.6 (#14)8.3 (#6)
DeploymentKili is offered as SaaS, as a managed application in Azure Marketplace, and as an on-premise deployment.The standard Python web server and application can be deployed on any cloud provider or entirely on-premise.
Founded20182016
IntegrationsKili connects to AWS, Azure, Google Cloud Platform, and S3-compatible storage, and supports automation through its API, Python SDK, plugins, and MCP server.Prodigy has first-class support for spaCy, plugins for Hugging Face models, and out-of-the-box integrations with major LLM API providers.
Intended usersKili says the platform is designed for organizations managing annotation across domain experts, internal teams, and external workforces.Prodigy is designed as a developer tool and assumes basic familiarity with Python and the command line, while its annotation web app can be used without programming experience after setup.
SupportThe Grow plan says its support level is adapted to customer needs, and lists professional services as available.The product includes documentation and access to a support forum; company licenses also include priority forum and email support.

Plans

Kili Technology

  • Free TrialFree
  • EnterprisePriced on request
  • GrowPriced on request

Kili Technology pricing →

Prodigy

  • Personal$390, paid once
  • Company$490, paid once

Prodigy pricing →

In their own words

Kili Technology

Kili Technology has no write-up on Specifiction yet; its figures are above.

Visit kili-technology.com

Prodigy

Prodigy is a downloadable developer tool and Python library for creating training and evaluation data for machine-learning models. Its built-in recipes cover named entity recognition, text classification, computer vision, audio and video annotation, transcription, and model training and evaluation. A customizable web application offers 23 interfaces for work with text, images, audio, video, relations, multiple choice, HTML and conflict resolution. Users can define workflows with Python recipes and create interfaces using HTML, CSS and JavaScript. Prodigy supports spaCy, plugins for Hugging Face models and integrations with major LLM API providers. Data can be stored in SQLite, MySQL or PostgreSQL and exported to JSON. It runs on the user's own machines without connecting to the maker's or third-party servers, including on air-gapped machines. The standard Python web server and app can be deployed in the cloud or on-premise. Personal licensing costs $390, paid once, excluding tax; Company licensing costs $490, paid once per seat in packs of five, excluding tax.

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