Kili Technology

Description

Kili Technology is a comprehensive training data platform that enables AI teams to build high-quality datasets for computer vision, NLP, and LLM applications. The platform supports annotation workflows across various data types, including geospatial imagery, video, documents, and text. With capabilities like geospatial imagery annotation with GeoTIFF support, video annotation with multi-object tracking, and document layout analysis with OCR, Kili Technology provides a versatile environment for data scientists and subject matter experts.

The platform is designed for enterprise scalability, supporting over 500 concurrent users and offering flexible deployment options, including cloud, on-premise, hybrid, and air-gapped environments. Security is a cornerstone of Kili Technology, with certifications such as SOC2 Type II, ISO 27001, and HIPAA ensuring compliance and data sovereignty.

Kili Technology offers a free trial with 2 team seats and 200 assets, allowing users to test the platform's capabilities without commitment. For larger teams, the platform provides a commitment-free evaluation period to test at scale with actual production data. The platform's collaborative workspace facilitates seamless interaction between annotators, data scientists, and stakeholders, ensuring efficient project management and quality assurance.

Trusted by Fortune 500 companies, Kili Technology is ideal for mission-critical AI projects requiring maximum security and scale. Its model-assisted labeling feature allows integration with users' own models, enhancing the annotation process. With Python SDK, REST API, and CLI tools, Kili Technology automates workflows, making it a powerful tool for AI teams looking to build trustworthy datasets quickly and efficiently.

Kili Technology's Core Features

• Enterprise-grade training data platform

• Supports 500+ concurrent users

• Geospatial imagery annotation with GeoTIFF support

• Video annotation with multi-object tracking

• Document layout analysis with OCR

• NLP and text annotation

• LLM evaluation and RLHF workflows

• Model-assisted labeling with BYOM integration

• Collaborative workspace for annotators and stakeholders

• Programmatic quality assurance with consensus workflows

• Flexible deployment: Cloud, On-Premise, Hybrid, Air-Gapped

• SOC2 Type II, ISO 27001, HIPAA certified security

• Python SDK, REST API, and CLI tools

• Free trial available with 2 team seats and 200 assets

• Commitment-free evaluation period

How to use Kili Technology?

1. 1

   Configure: Set up annotation projects

2. 2

   Use: Annotate data across various formats

3. 3

   Optimise: Integrate BYOM for model-assisted labeling

4. 4

   Evaluate: Test at scale with actual production data

Kili Technology's Use Cases

• Geospatial Annotation
• Video Tracking
• Document OCR
• NLP Text Classification
• LLM Evaluation

FAQ from Kili Technology

• What types of data can I annotate with Kili Technology?

  Kili Technology supports annotation workflows across geospatial imagery, image, video, document OCR, NLP text, and LLM evaluation with RLHF.

• How many users can work simultaneously on Kili Technology?

  Kili Technology supports over 500 concurrent users, enabling large teams to collaborate efficiently.

• What security certifications does Kili Technology have?

  Kili Technology is SOC2 Type II, ISO 27001, and HIPAA certified, ensuring high security standards.

• Can Kili Technology be deployed on-premise?

  Yes, Kili Technology supports on-premise deployment with air-gapped environments.

• Does Kili Technology support document OCR workflows?

  Yes, it supports document layout analysis with OCR for structured document annotation.

• Can I try Kili Technology before committing to a paid plan?

  Yes, a free trial with 2 team seats and 200 assets is available.

• What are the deployment options for Kili Technology?

  Deployment options include Cloud, On-Premise, Hybrid, and Air-Gapped environments.

• How does Kili Technology ensure data quality?

  Kili Technology uses programmatic quality assurance with consensus workflows and automated error detection.