Swivl

Swivl

Education Bot, Inc
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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!

About

swivl is simplifying AI training. In general, data scientists typically spend 80% of their time on non-value-added tasks such as finding, cleaning, and annotating data. Our no-code SaaS platform helps teams outsource these data annotation tasks to a vetted network of data annotators to close the feedback loop in a cost-effective way. This involves the action of training, testing, and deploying machine learning models with an emphasis on natural language processing, audio, and generalized data categorization.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI Team Lead, CTOs, Data scientists, Computer vision Engineers, AI-first companies

Audience

ML Teams

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

No images available

Screenshots and Videos

Pricing

Free trials are available,
POC project (under 1000€) are availables.
Production project begin from 200 hours of labeling.
Free Version
Free Trial

Pricing

$149/mo/user
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 4.7 / 5
features 4.6 / 5
design 4.6 / 5
support 4.9 / 5

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

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

People For AI
Founded: 2020
France
peopleforai.com

Company Information

Education Bot, Inc
Founded: 2018
Colorado
tryswivl.com

Alternatives

Alternatives

Cogito

Cogito

Cogito Tech LLC
Prodigy

Prodigy

Explosion
Mindkosh

Mindkosh

Mindkosh AI

Categories

Categories

Data Labeling Features

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

Data Labeling Features

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

Chatbot Features

Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration

Conversational AI Features

Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant

Machine Learning Features

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Natural Language Processing Features

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Integrations

Kili Technology
Labelbox
SiteLink Web Edition
SuperAnnotate
Tenant
V7 Darwin
storEDGE

Integrations

Kili Technology
Labelbox
SiteLink Web Edition
SuperAnnotate
Tenant
V7 Darwin
storEDGE
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