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What is Peak?

Introducing an innovative decision intelligence platform that enables business leaders to significantly improve their decision-making strategies. Our Connected Decision Intelligence system, referred to as CODI, has been carefully crafted by Peak to serve as an intelligence layer that connects diverse systems while unlocking unprecedented potential from your data. CODI facilitates the rapid deployment of AI solutions, allowing organizations to fully harness their data through its unique full-stack capabilities. It empowers both data scientists and engineers to oversee every aspect of the development and execution of AI applications in an efficient and scalable manner. With the adoption of CODI, AI projects transition from initial tests to fully functional solutions that deliver real-world results and benefits. Built on a solid enterprise-grade foundation, CODI is capable of handling large data sets and integrates seamlessly with existing technological frameworks. Moreover, it fosters deeper insights and incorporates data from various segments of your organization, ultimately enhancing strategies and overall performance. This cutting-edge methodology guarantees that organizations can make well-informed decisions based on thorough data analysis, driving significant improvements in operational effectiveness. As a result, businesses are better equipped to navigate complex challenges and seize new opportunities in a rapidly changing market.

What is HedgeDoc?

HedgeDoc, which was formerly known as CodiMD, is an open-source, self-hosted markdown editor that provides a web-based interface for collaborative editing. This tool enables users to work together in real-time on various projects such as notes, diagrams, and presentations, allowing teams to collaborate effortlessly by simply sharing a link to their notes. Installing HedgeDoc on your own server is a hassle-free process, as we provide both a pre-packaged bundle and a Docker image for easy setup. For detailed instructions on installation, please consult our comprehensive guide. The source code for HedgeDoc can be found on GitHub, and it is shared under the AGPL 3.0 license, which guarantees that it remains both open-source and freely available. We welcome you to dive into the code, provide feedback, and help us improve the software! Your input is important to us, and we invite you to join the conversation in our Matrix chat room or start a new discussion on our Discourse forum. By participating in our community, you not only contribute to the betterment of HedgeDoc but also connect with like-minded individuals who share a passion for enhancing collaborative tools.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Cloudflare
MySQL
Oracle Cloud Infrastructure
PostgreSQL
Redshift
SQL Server
Snowflake
UiPath

Integrations Supported

Amazon Web Services (AWS)
Cloudflare
MySQL
Oracle Cloud Infrastructure
PostgreSQL
Redshift
SQL Server
Snowflake
UiPath

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Peak

Date Founded

2014

Company Location

United Kingdom

Company Website

peak.ai/our-system/

Company Facts

Organization Name

HedgeDoc

Company Website

hedgedoc.org

Categories and Features

Artificial Intelligence

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

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Categories and Features

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