Kili Technology

Enterprise data labeling and annotation platform with AI-assisted QA

Hand-reviewed by the Toolglade team·Updated Aug 2026

data-labeling#data-labeling#annotation#training-data#quality-assurance

Free plan Free trial Claimed API Self-hosted Teams

Toolglade’s take

Kili's strength is quality tooling: reviewer loops, per-annotator metrics, and programmatic error detection are exactly what enterprise ML teams need to trust their training data. Broad data-type coverage in one platform plus SOC 2, ISO 27001, and HIPAA compliance make it a solid enterprise fit. The free plan is genuinely useful for evaluation but capped at 5,000 labels, and serious use lands on usage-based or enterprise pricing that can climb with volume. Teams needing only simple text labeling may find it more platform than they require.

About Kili Technology

Kili Technology is an enterprise data labeling platform for images, video, text, and geospatial data with AI-assisted labeling, strong QA workflows, and SOC 2/ISO 27001/HIPAA compliance.

Kili Technology is a data labeling and annotation platform aimed at teams building high-quality training data for machine learning and AI. It supports a wide range of data types in one environment, including images, video, text, NLP, OCR, PDFs, and geospatial data, and uses AI-assisted tools such as model-in-the-loop labeling and segmentation helpers to reduce manual effort and speed up annotation. Quality is a central focus: Kili provides configurable ontologies, reviewer loops and QA workflows, per-annotator performance tracking, and programmatic error detection to catch mistakes at scale, targeting high labeling accuracy. It also offers expert labeling services as a managed option. The platform is built for enterprise requirements with SOC 2, ISO 27001, and HIPAA compliance and a secure, collaborative environment. Kili offers a free plan with a labeling cap, a usage-based Grow plan with more seats and assets plus API and SDK access, and an Enterprise plan for secure large-scale deployments. It suits data science and ML teams, and organizations outsourcing annotation, competing with tools like Labelbox, Scale, SuperAnnotate, and Encord on quality tooling and enterprise security.

TL;DR

Kili Technology is an enterprise data labeling platform covering images, video, text, and geospatial data, with AI-assisted labeling, strong QA workflows, and SOC 2/ISO 27001/HIPAA compliance.

Company overview

Kili Technology builds a data labeling and annotation platform focused on producing high-quality training data for machine learning and AI. It serves data science teams and enterprises across computer vision, NLP, and document use cases.

The company emphasizes labeling quality and enterprise security, offering both a software platform and expert labeling services. It competes in the established data-annotation market against Labelbox, Scale, SuperAnnotate, and Encord.

Product features

Kili supports many data types in one platform and provides AI-assisted labeling to speed annotation. Its quality tooling includes configurable ontologies, reviewer QA loops, per-annotator performance tracking, and programmatic error detection.

The platform offers API and SDK access for automation, cloud storage integrations, and enterprise security certifications including SOC 2, ISO 27001, and HIPAA. Managed expert labeling services complement the self-serve software.

Target market

Kili targets ML and data science teams and enterprises, including regulated industries, that need high-quality multi-modal training data with strong QA and security, from mid-size teams to large organizations.

Buyer personas

End users

Data annotators, ML engineers, and data scientists preparing training data.

Buyers

ML team leads and heads of data selecting an annotation platform.

Key influencers

Computer vision and NLP practitioners and data ops managers.

Ideal customer profile

ML and data teams at enterprises building high-quality multi-modal datasets who need robust QA workflows and enterprise-grade security and compliance.