Audience

Companies searching for an Artificial Intelligence solution

About Kern

kern shines where other approaches fail. We enable data-driven use cases in numerous industries and domains. If needed, fully inhouse. On public and private cloud or on-premises. The core of kern is Weak Supervision, a technique to automatically integrate noisy data heuristics. This enables 100x labeling speed. As we enrich your records with valuable metadata, this data can be prioritized and sliced. This ensures both saving time and increasing quality. kern is designed to integratae subject matter experts into the AI development cycle. Work in collaboration to solve actual pain points. The security of your data is our top priority. We offer kern both on public and private cloud as well as on-premises, ensuring high quality data security. Our labeling solution is designed to work with any kind of JSON structure. This means that we can work with many different formats, such as CSV files, texts, images or even time series data.

Integrations

API:
Yes, Kern offers API access
No integrations listed.

Ratings/Reviews

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features 0.0 / 5
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Company Information

Kern AI
Founded: 2020
Germany
www.kern.ai/platform

Videos and Screen Captures

Kern Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Live Online
Support
Online

Kern Frequently Asked Questions

Q: What kinds of users and organization types does Kern work with?
Q: What languages does Kern support in their product?
Q: Does Kern have an API?
Q: What type of training does Kern provide?

Kern Product Features

Artificial Intelligence

For Healthcare
Multi-Language
Chatbot
For Sales
Rules-Based Automation
Machine Learning
Natural Language Processing
Predictive Analytics
Virtual Personal Assistant (VPA)
Process/Workflow Automation
For eCommerce
Image Recognition

Data Labeling

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