Kili Technology
5.9#16 in ai image annotation toolsWebAPISelf-hosted
VisitKili Technology vs Label Studio
Label Studio
8.2#2 in image annotation softwareFrom $99 a monthFree planWebAPILinuxmacOS
VisitWhat both publish
| Fact | Kili Technology | Label Studio |
|---|---|---|
| Data types | The platform supports images, video, PDF documents, text, audio, and geospatial data. | The editions support labeling text, images, audio, video, time series data, and multimodal data. |
| Deployment | Kili is offered as SaaS, as a managed application in Azure Marketplace, and as an on-premise deployment. | Label Studio can be installed on premises or in the cloud using pip, Docker, Ubuntu, source, or Anaconda. |
| Founded | 2018 | HumanSignal is listed as founded in 2019. |
| Integrations | Kili connects to AWS, Azure, Google Cloud Platform, and S3-compatible storage, and supports automation through its API, Python SDK, plugins, and MCP server. | The integrations directory lists cloud storage, foundation model APIs, computer vision, speech and audio, ML frameworks, and infrastructure integrations. |
| Purpose | Kili is an expert-in-the-loop platform for creating, reviewing, and evaluating AI data, including training datasets and ground-truth datasets. | Label Studio is an open source data labeling tool for labeling multiple data types and connecting machine learning models for predictions or active learning. |
| Security | Kili states that it has SOC 2 Type II, ISO 27001:2022, and HIPAA certifications and undergoes annual audits. | The security documentation says application component interactions use TLS and the web app enforces HTTPS and secured cookies. |
Kili Technology plans
- Free TrialFree
- EnterprisePriced on request
- GrowPriced on request
Label Studio plans
- Community EditionFree
- Starter Cloud$99 a month
- EnterprisePriced on request
Pick Kili Technology if…
Kili suits organizations coordinating annotation across domain experts, internal teams, and external workforces. It is relevant to teams needing varied data types, review workflows, quality metrics, and flexible deployment.
Pick Label Studio if…
It suits teams preparing labeled datasets across several media types, from individual community users to organizations needing managed cloud or on-prem deployment. Developers can use its APIs, Python SDK, and webhooks to connect labeling work to other systems.