Nyckel users appreciate its Lightning-fast machine learning, Multiple input data types, Multiple output data functions, Object detection in images, OCR capabilities, API-first design, Integrated data engine, Deep learning capacity, Fast model training and deployment, High uptime and low latency, Free evaluation options, No data lock-in, Variety of function types, Image, text, tabular data handling, Classify, tag, search output options, Data annotation, inspection, mining, Seamless application integration, UI for model training, Advanced API functionality, Model ready in seconds, Scales to millions of invocations, Automated and parallelized AutoML, Data focus, Text classification and tagging, Image classification and tagging, Tabular classification and tagging, Image detection and localization, Tabular data handling, Model evaluative options, Immediate model deployment, Latency of 300ms, Integrated annotation, inspection, mining, Lightning Fast Machine Learning, Model training in minutes, Faster moderation time, Better auto moderation coverage, Integrated Machine Learning service, Quicker content release, Increase in Ad revenue, Allows cross-modal semantic search, Intuitive UI and API, Free model training, Single Sign-On for Enterprise, Supports billions of invocations, Can scale to Thousands of labels, Supports millions of samples, Functionality for Computer Vision, Natural Language Processing function, Tabular data processing function, Automated model integration, Flexibility through API
and Developer friendly, though some note a
Limited function types, Undefined accuracy parameters, Minimum spend for production, Latency in specific scenarios, Possibly costly for heavy usage, Complex for non-technical users, Limited model export options, Requires hefty data for training, Potential constraints on scale
and Limited enterprise-level support.
