Kili Technology provides a browser-native environment for orchestrating and executing large-scale data annotation projects. It enables machine learning teams to upload raw data, define labeling ontologies, distribute tasks to human annotators, and manage quality control loops, all accessible through a web interface for efficient, high-quality dataset generation for enterprise AI initiatives.
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Kili Technology Website Full Guide (2026)
Data labeling platform for enterprise AI.
WebsiteInformationCustomizable
2.8 (AI Aggregated)
Updated May 26, 2026
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Introduction
Key Features
Core Capabilities
Data asset ingestion portal (for images, text, video, audio)
Customizable annotation editor (bounding boxes, polygons, text spans, transcription)
Ontology schema builder (classes, attributes, relationships)
Project progress and performance dashboard
Additional Details
Consensus-based review interface
Model-assisted pre-labeling integration
Quality control and dispute resolution module
Dataset export configuration panel (COCO, Pascal VOC, custom JSON)
Use Cases
For Developers
Accelerating Model Training Data Generation
ML engineers utilize the platform to rapidly create high-quality, labeled datasets for computer vision, NLP, or speech models, iterating on annotation schemas and integrating with model training pipeline
How to Use Kili Technology
Create a New Project and Upload Data
Navigate to the 'Projects' tab, click 'New Project,' define the data type (e.g., Image, Text), and upload raw assets via the browser or connect a cloud storage bucket
Kili Technology Alternatives
Hive (Data Labeling)
AI-powered data labeling solutions.
V7 Labs
Training data platform focused on vision AI.
Supervisely
Platform for computer vision development.
SuperAnnotate
Platform for annotating data for CV & NLP.
About Kili Technology
Platforms
Categories
Domainkili-technology.com
Useful Links
1 totalVideo Mentions
Kili Technology Status
Active
Service is operational