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kili

Kili is an enterprise data annotation platform for building high-quality datasets to train, fine-tune, and evaluate AI models across multiple modalities.

Introduction

Overview

Kili Technology is an enterprise-grade data annotation and curation platform designed to help AI teams create trustworthy datasets at scale. It streamlines the labeling, quality control, and iteration process for training, fine-tuning, and evaluating machine learning and generative AI models across various data modalities.

Key Features
  • Multi-Modal Support: Annotate image, video, text (NLP & LLMs), OCR documents, geospatial imagery, and audio within a unified platform.
  • Scalable Collaboration Workflows: Coordinate hundreds of annotators across multiple projects with role-based access control, automated task distribution, and real-time performance tracking.
  • Quality-First Control: Built-in review workflows, consensus scoring, and automated quality gates to ensure dataset accuracy.
  • AI-Assisted Pre-Annotation: Accelerate annotation speed using pre-labeling algorithms and configurable ontologies.
  • Enterprise Security & Compliance: Compliant with SOC 2 Type II, ISO 27001, and HIPAA, offering deployment options from SaaS to air-gapped on-premise environments.
Use Cases
  • Computer Vision: High-precision bounding box, polygon, and video tracking annotation for autonomous systems, healthcare, and manufacturing.
  • LLM & NLP Training: Human feedback and evaluation workflows for fine-tuning Large Language Models.
  • Document Intelligence: Extract structured data from unstructured enterprise documents via OCR and document layout analysis.
  • Geospatial Analysis: Annotate satellite and aerial imagery for mapping, environmental monitoring, and urban planning.

Information

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