Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Anthroly serves as a specialized data laboratory and provider of expert data tailored for pioneering AI laboratories and modeling teams. The company acquires operational data from American enterprises—including workplace communications, emails, support inquiries, customer relationship management histories, phone calls, software code, engineering documentation, and various other records—and processes this information into de-identified datasets, reinforcement learning frameworks, agent pathways, supervised fine-tuning materials, and assessment tools. Additionally, Anthroly engages in the recruitment and evaluation of professionals such as engineers, scientists, medical experts, and specialists in Indic languages to develop expert-crafted tasks, benchmarks, model outputs, and evaluation metrics. Their projects often encompass bespoke sourcing, expert analysis, grading rubrics, automated assessment tools, and comprehensive quality evaluations. Anthroly emphasizes that its model involves licensing data with identifiers removed prior to transfer, ensuring that data usage remains within the limits set by contractual agreements. The initiation of expert-data projects can commence with a pilot phase lasting one to two weeks, while the pricing for licensing and project scopes is customized to meet individual client needs. This tailored approach allows for flexibility and precision, making it easier for clients to access the expertise they require.
Description
We make data for the world's most valuable companies. Innodata solves your most difficult data engineering problems using artificial intelligence and human expertise. Innodata offers the services and solutions that you need to harness digital information at scale and drive digital disruption within your industry. We secure and efficiently collect and label sensitive data. This provides ground truth that is close to 100% for AI and ML models. Our API is simple to use and ingests unstructured data, such as contracts and medical records, and generates structured XML that conforms to schemas for downstream applications and analytics. We make sure that mission-critical databases are always accurate and up-to-date.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Pypestream
No
Pricing Details
U.S. data suppliers pay no listing fee or commission. Licensed records are priced individually after a de-identified sample review. Expert-data work can begin with a free or low-cost 1–2 week pilot.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Anthroly
Website
www.anthroly.com
Vendor Details
Company Name
Innodata
Founded
1988
Country
United States
Website
innodata.com
Product Features
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Conversational AI
Code-free Development
No
Contextual Guidance
No
For Developers
No
Intent Recognition
No
Multi-Languages
No
Omni-Channel
No
On-Screen Chats
No
Pre-configured Bot
No
Reusable Components
No
Sentiment Analysis
No
Speech Recognition
No
Speech Synthesis
No
Virtual Assistant
No
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Data Labeling
Human-in-the-loop
No
Labeling Automation
No
Labeling Quality
No
Performance Tracking
No
Polygon, Rectangle, Line, Point
No
SDK
No
Supports Audio Files
No
Task Management
No
Team Collaboration
No
Training Data Management
No
Data Quality
Address Validation
No
Data Deduplication
No
Data Discovery
No
Data Profililng
No
Master Data Management
No
Match & Merge
No
Metadata Management
No