Kili Technology is a data labeling platform designed to help businesses build high-quality datasets for machine learning. It supports various data types including images, text, and videos, and offers customizable interfaces for efficient labeling. Kili provides features for quality control, project management, and automation, aiming to streamline the process of creating training data for AI models. It integrates with cloud storage providers and offers APIs for seamless integration with existing machine learning workflows.
Who is Kili best for
Kili Technology is a robust data labeling platform ideal for medium to large enterprises with dedicated machine learning teams. Users praise its intuitive interface, smooth integration with existing ML pipelines, and effective quality control features. However, some users mention limited video annotation features and the need for technical expertise. It's best for high-volume data needs in industries like automotive, healthcare, or technology.
Best for medium to large businesses (101-1000 employees or 1001+ employees).
Particularly well-suited for Automotive, Aerospace & Defence, Healthcare, Wellness & Pharma, and Software, IT & Telecommunications.
Kili features
Supported
Kili supports active learning to minimize manual labeling and maximize model performance.
Supported
Kili supports image and video annotation for computer vision tasks.
Supported
Kili streamlines computer vision workflows, from data annotation to model training and evaluation.
Kili reviews
We've summarised 49
Kili reviews (Kili G2 reviews) and
summarised the main points below.
Pros of Kili
Interactive and feature-rich labeling platform, easy to use
User-friendly interface for labeling images, text, and video
Well-documented and easy-to-use Python SDK
Smooth integration into existing ML pipelines
Effective quality control features (integrated scores, issues, webhooks)
Facilitates collaboration between labelers and business lines
Excellent customer support
Cons of Kili
Limited video annotation features (e.g., only bounding boxes, no polygons or landmarks)
Limited native functionalities, often requires additional coding via SDK
Does not accept Excel or Word documents, requiring pre-conversion
UX improvements needed for project management (sorting, filtering, etc.)
Python API instability due to ongoing development of key features
Kili pricing
The commentary is based on 5 reviews from Kili G2 reviews.
Kili's enterprise pricing is considered expensive for some users, particularly non-profits. However, others find it worthwhile for managing data quality at scale. Some users desire more features in the free version, while others appreciate the powerful API and labeling interface. Negotiating pricing may be possible.
For individual contributors developing small-scale projects. Includes image, video, text, PDFs, large images & rich text labeling interfaces, 2 users max, 100 annotations, quality workflows, quality and productivity metrics, API and Python SDK (rate limited), documentation & Slack Community for support.
Grow
Custom
For companies wishing to invest in their labeling operations. Includes all Free features plus Zero-shot Labeling Co-pilot, Instant quality review scores, Upload via URL and Cloud, API and Python SDK (no rate limit), Plugins, Data cloud storage, Support level adapted to your needs, Accessible professional services.
Enterprise
Custom
For companies with enterprise needs and specific data security requirements. Includes all Grow features plus SSO and on-premise hosting, Custom contract & terms, Professional services, Dedicated customer success representative.
Kili alternatives
SuperAnnotate
Streamline AI model training with collaborative, quality data labeling.
Kili Technology is a data labeling platform that helps create high-quality datasets for machine learning. It supports image, text, and video annotation with quality control, project management, and automation features. Kili integrates with cloud storage and offers APIs for streamlined machine learning workflows.
What is Kili and what does Kili do?
Kili Technology is a data labeling platform that helps create high-quality datasets for machine learning. It supports image, text, and video annotation with quality control, project management, and automation features. Kili integrates with cloud storage and offers APIs for streamlined machine learning workflows.
How does Kili integrate with other tools?
Kili integrates with cloud storage providers and offers APIs for seamless integration with existing machine learning workflows. It also has a well-documented Python SDK that facilitates smooth integration into ML pipelines. This allows for efficient data transfer and automation.
How does Kili integrate with other tools?
Kili integrates with cloud storage providers and offers APIs for seamless integration with existing machine learning workflows. It also has a well-documented Python SDK that facilitates smooth integration into ML pipelines. This allows for efficient data transfer and automation.
What the main competitors of Kili?
Kili's main competitors include SuperAnnotate, V7, and Qlik AutoML. These platforms offer similar data labeling and machine learning development features, catering to businesses seeking efficient AI model training solutions. Other alternatives, like MATLAB, RapidCanvas, and SAS Viya, provide broader data analysis and automation capabilities.
What the main competitors of Kili?
Kili's main competitors include SuperAnnotate, V7, and Qlik AutoML. These platforms offer similar data labeling and machine learning development features, catering to businesses seeking efficient AI model training solutions. Other alternatives, like MATLAB, RapidCanvas, and SAS Viya, provide broader data analysis and automation capabilities.
Is Kili legit?
Kili is a legitimate data labeling platform used by various companies for building machine learning datasets. It offers useful features like active learning and an intuitive interface, facilitating smooth integration into ML pipelines. While some users mention the need for UX improvements and occasional API instability, reviews generally regard Kili as safe and effective.
Is Kili legit?
Kili is a legitimate data labeling platform used by various companies for building machine learning datasets. It offers useful features like active learning and an intuitive interface, facilitating smooth integration into ML pipelines. While some users mention the need for UX improvements and occasional API instability, reviews generally regard Kili as safe and effective.
How much does Kili cost?
Kili offers a Free plan for individual contributors. For growing companies and enterprises needing advanced features and support, Kili's pricing is custom. Contact Kili for product pricing details.
How much does Kili cost?
Kili offers a Free plan for individual contributors. For growing companies and enterprises needing advanced features and support, Kili's pricing is custom. Contact Kili for product pricing details.
Is Kili customer service good?
Kili's customer service receives positive feedback. Users highlight the helpful and responsive support team, quick replies, assistance with onboarding and quality assurance tools, and openness to feedback. However, some users mention the need for more self-service onboarding content.
Is Kili customer service good?
Kili's customer service receives positive feedback. Users highlight the helpful and responsive support team, quick replies, assistance with onboarding and quality assurance tools, and openness to feedback. However, some users mention the need for more self-service onboarding content.
Reviewed by
MK
Michal Kaczor
CEO at Gralio
Michal has worked at startups for many years and writes about topics relating to software selection and IT
management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs
of any business and find solutions to its problems.
TT
Tymon Terlikiewicz
CTO at Gralio
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech
department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX,
HR, Payroll, Marketing automation and various developer tools.
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