HumanSignal vs. People For AI Comparison


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About HumanSignal's Label Studio Enterprise is a comprehensive platform designed for creating high-quality labeled data and evaluating model outputs with human supervision. It supports labeling and evaluating multi-modal data, image, video, audio, text, and time series, all in one place. It offers customizable labeling interfaces with pre-built templates and powerful plugins, allowing users to tailor the UI and workflows to specific use cases. Label Studio Enterprise integrates seamlessly with popular cloud storage providers and ML/AI models, facilitating pre-annotation, AI-assisted labeling, and prediction generation for model evaluation. The Prompts feature enables users to leverage LLMs to swiftly generate accurate predictions, enabling instant labeling of thousands of tasks. It supports various labeling use cases, including text classification, named entity recognition, sentiment analysis, summarization, and image captioning.	About People For AI is labeling your data. Using our service, you will obtain high-quality training data for your computer vision, NLP or speech recognition algorithms. We use AI-powered data labeling tools that are adapted to your task. With the right tool, the right team and our methodology, you data is in good hands. As we only hired long-term labelers, we specialized in high-value data annotation, however we can manage any kind of projects. Check our CSR report on our website to know more about our labelers!
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience AI/ML teams needing a solution for data labeling, model evaluation, and prompt engineering, enabling them to create high-quality labeled data and assess model outputs with human supervision	Audience AI Team Lead, CTOs, Data scientists, Computer vision Engineers, AI-first companies
Support Phone Support Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos No images available
Pricing $99 per month Free Version Supported Free Trial Supported	Pricing Free trials are available, POC project (under 1000€) are availables. Production project begin from 200 hours of labeling. Free Version Not Supported Free Trial Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 5.0 / 5 ease 4.7 / 5 features 4.6 / 5 design 4.6 / 5 support 4.9 / 5 Read all reviews
	Pros & Cons from Real Users Pros - open to the understanding of the client's needs - provided high-quality service - delivery time was always within the expectation - open to further discussions and refinements It is a real pleasure to work with PFAI: - They are always nice and swift in their responses. - It is super easy and quick to set up a new annotation project with them. - They deliver high quality. The contact was really good. Quick, and arranged video calls with sole purpose to understand my needs precisely. Labeling project went swiftly and I had no doubts about the quality of data I received. I felt like they really cared to deliver best to my needs and no detail was omitted. I have worked with People For AI on a complex computer vision project that required significant learning on unusual data with precise labeling. They quickly set up a labeling tool that was well-suited to our use case, which helped us efficiently incorporate the annotation tasks into our training pipeline. The labeling team asked many questions, showed a keen attention to detail, and considered edge cases thoroughly. They achieved impressive results after only a few days of training. It was also beneficial to have direct communication with the project manager in charge of production, allowing for immediate feedback and daily updates on progress. For the second labeling task, which occurred 18 months later, I was pleased to discover that the same team was once again involved in the project. We really liked the ethics of the company, as well as their long-term approach to work and their people. They were fast to respond to our queries, and were able to get work done rapidly to meet the demand of our own customers. The people doing the labelling work were quick to respond to new feedback to improve the labelling being done. They were flexible to adapt to using our custom-designed tools. They provided us with detailed information about the labelling work being done. Cons I cannot se any cons in working with People For AI. I cannot think of any cons in working with PFAI and have nothing to complain about. Maybe teams english was difficult to understand sometimes, but I don't think that matters. There is nothing that comes to my mind regarding the cons of using the data annotation services provided by People for AI. Some sort of integrated web-based platform to see work in progress would be nice, but this did not prevent People for AI from sharing information with us by other means (e.g. shared spreadsheets).
Training Documentation Supported Webinars Supported Live Online Supported In Person Supported	Training Documentation Not Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information HumanSignal Founded: 2019 United States humansignal.com	Company Information People For AI Founded: 2020 France peopleforai.com
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Categories Data Annotation Supported Data Labeling Supported LLM Evaluation Supported	Categories Data Annotation Supported Data Labeling Supported
	Data Labeling Features Human-in-the-loop Supported Labeling Automation Supported Labeling Quality Supported Performance Tracking Supported Polygon, Rectangle, Line, Point Supported SDK Not Supported Supports Audio Files Not Supported Task Management Not Supported Team Collaboration Supported Training Data Management Not Supported
Integrations Amazon S3 Supported Amazon Web Services (AWS) Supported Google Cloud Platform Supported Google Cloud Storage Supported HTML Supported Hugging Face Supported JavaScript Supported Kili Technology Not Supported Labelbox Not Supported Meta AI Supported Microsoft Azure Supported OpenAI Supported SuperAnnotate Not Supported V7 Darwin Not Supported Show More Integrations View All 10 Integrations	Integrations Amazon S3 Not Supported Amazon Web Services (AWS) Not Supported Google Cloud Platform Not Supported Google Cloud Storage Not Supported HTML Not Supported Hugging Face Not Supported JavaScript Not Supported Kili Technology Supported Labelbox Supported Meta AI Not Supported Microsoft Azure Not Supported OpenAI Not Supported SuperAnnotate Supported V7 Darwin Supported Show More Integrations View All 4 Integrations
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