Kili Technology

Free

Expert LLM Evaluation Reporting by Kili Technology

#LLM evaluation#AI model assessment#model output ranking#annotator behavior control#expert evaluation#large language models#precise reporting#global network of experts#AI builders#security compliance#tailored deployment

Inputs: text, image, video

Type

Saas

Founded

2018

Company

Kili Technology

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About Kili Technology

Kili Technology is a comprehensive data annotation and curation platform designed to build high-quality, trustworthy datasets for training, fine-tuning, and evaluating AI/ML models. The platform supports annotation of all major data types—images, videos, text, documents (PDF/OCR), and geospatial imagery—with configurable ontologies, AI-assisted pre-annotation (including SAM 2 integration for images), and automated quality workflows. It also includes specialized tools for LLM RAG evaluation and RLHF workflows. Kili Technology provides scalable collaboration with role-based access, automatic task distribution, and performance tracking for teams from a handful of experts to hundreds of annotators. The platform is enterprise-grade, SOC 2 Type II, ISO 27001, and HIPAA certified, with flexible deployment options including fully managed cloud to air-gapped on-premise. Additional services include managed labeling workforce for end-to-end data annotation lifecycle management.

Key Features

Accurate and unbiased model evaluations

Randomized model output ranking

Controlled annotator behavior

Real data from a global network of experts

Comprehensive and precise reporting

Actionable insights for model improvements

Stringent security compliance

Flexible deployment options

Tailored evaluation frameworks

Trusted by top AI builders worldwide

Pros & Cons

Pros

Supports a wide range of data types (image, video, text, PDF, geospatial) in one platform
AI-assisted labeling with SAM 2 integration speeds up image annotation significantly
Enterprise-grade security certifications (SOC 2 Type II, ISO 27001, HIPAA) suitable for regulated industries
Flexible deployment options including on-premise for maximum data control
Scalable collaboration tools with role-based access and quality gates for large teams
Offers managed labeling workforce services for end-to-end data annotation
Free tier available for small-scale testing without credit card
User-friendly interface and responsive customer support as noted in G2 reviews

Cons

Free tier has low asset limits (100 for text/images, 5 for video/satellite) which may be restrictive for larger projects
Pricing for Grow and Enterprise plans is custom and not publicly listed, requiring sales contact
Platform primarily focused on annotation; advanced model training or deployment not included
Limited to data preparation and evaluation; does not provide model hosting or inference

Best For

AI Researchers: Evaluating the performance of proprietary LLMs to ensure they meet research objectives and quality standards.Product Managers: Assessing different LLMs to determine the most suitable model for incorporation into their products.Data Scientists: Leveraging comprehensive evaluation reports to fine-tune LLMs for specific applications and domains.Compliance Officers: Ensuring that LLM evaluations meet industry-specific security and compliance requirements.ML Engineers: Reducing overhead in model evaluation processes through precise and actionable insights.Academic Institutions: Conducting rigorous analysis of various LLMs as part of academic research and studies.Business Analysts: Using detailed evaluation data to make informed decisions on LLM deployment in business solutions.Government Agencies: Ensuring LLMs used for public services meet high standards of accuracy, safety, and reliability.Healthcare Providers: Validating LLMs for use in medical applications, ensuring they adhere to safety and quality standards.Finance Professionals: Evaluating LLMs for financial applications, ensuring compliance with industry regulations and accuracy standards.