LabelFortPredusk Technology Private Limited
|
||||||
Related Products
|
||||||
About
LabelFort is an audit-ready data annotation platform and managed annotation service from Predusk AI, built for AI teams whose training data has to survive an audit. AI pre-labelling handles the mechanical work, one of five QA workflows (single pass, maker checker, double-blind, AI review, AI consensus) reviews every record and ends in a human decision, and every dataset exports as an evidence pack: versioned pre-labels, an immutable log of who labelled, reviewed, and approved each record, and per-cohort inter-annotator agreement, mapped to EU AI Act, HIPAA, GDPR, SOC 2, and DPDP documentation. Image, video, text, audio, LiDAR, DICOM, document, and RLHF annotation run on one platform with an annotation canvas, ontology and form builder, QA console, audit log viewer, model registry, and dataset manager. Eight roles with separate routing and access checks. Teams can run the platform themselves or add a trained domain specialist team through Hire a Team.
|
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 and machine learning teams in healthcare and life sciences, autonomous vehicles and geospatial, public sector and defense, financial services, and robotics that must show a regulator or procurement reviewer who labelled what, under which guideline, and with what agreement score
|
Audience
AI Team Lead, CTOs, Data scientists, Computer vision Engineers, AI-first companies
|
|||||
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
|
|||||
API
Offers API
Not Supported
|
API
Offers API
Not Supported
|
|||||
Screenshots and VideosNo images available
|
Screenshots and VideosNo images available
|
|||||
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
PricingFree 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/
|
Reviews/
|
|||||
Pros & Cons from Real UsersPros
Cons
|
||||||
Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
|
Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
|||||
Company InformationPredusk Technology Private Limited
Founded: 2014
India
labelfort.ai/
|
Company InformationPeople For AI
Founded: 2020
France
peopleforai.com
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
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
Kili Technology
Not Supported
Labelbox
Not Supported
SuperAnnotate
Not Supported
V7 Darwin
Not Supported
|
Integrations
Kili Technology
Supported
Labelbox
Supported
SuperAnnotate
Supported
V7 Darwin
Supported
|
|||||
|
|
|