Average Ratings 0 Ratings
Average Ratings 2 Ratings
Description
EntreDash is an innovative workspace powered by artificial intelligence that takes unrefined ideas, inventions, and side projects and morphs them into fully operational businesses ready for launch. Designed especially for novice entrepreneurs, it provides access to experienced strategy consultants and patent lawyers without incurring hefty agency costs.
Key Features:
Personalized AI Advisory Board: A team of specialized AI agents serves as Product Strategists, IP Consultants, and Financial Analysts, rigorously evaluating ideas, comparing competitors, and providing definitive market insights.
Prior-Art & IP Strategy: Conducts thorough searches of global patent databases to evaluate the novelty and utility of your concepts before you engage a legal professional.
Launch-Ready Deliverables: Produces essential documents such as Business Model Canvases, customer discovery kits, detailed design breakdowns, and financial forecasts.
USPTO Attorney Marketplace: Facilitates direct connections between founders and qualified patent attorneys.
Enterprise Security: Guarantees 0% data training and fully preserves the intellectual property ownership of founders, ensuring their innovations remain secure and protected. This commitment to security makes EntreDash a trustworthy partner for new business ventures.
Description
Dash & Dash Enterprise allow you to build and deploy analytic web applications using Python, R, or Julia. No JavaScript or DevOps are required. The world's most successful companies offer AI, ML and Python analytics at a fraction of the cost of full-stack development. Dash is the way they do it. Apps and dashboards that run advanced analytics such as NLP, forecasting and computer vision can be delivered. You can work in Python, R, or Julia. Reduce costs by migrating legacy per-seat license software to Dash Enterprise's unlimited end-user pricing model. You can deploy and update Dash apps faster without an IT or DevOps staff. You can create pixel-perfect web apps and dashboards without having to write any CSS. Kubernetes makes it easy to scale. High availability support for mission-critical Python apps
API Access
Has API
No
API Access
Has API
No
Integrations
Comet
No
F#
No
Google
Yes
Julia
No
Kedro
No
Lyftrondata
No
MATLAB
No
Make
No
NVIDIA RAPIDS
No
OpenMemory
No
Integrations
Comet
Yes
F#
Yes
Google
No
Julia
Yes
Kedro
Yes
Lyftrondata
Yes
MATLAB
Yes
Make
Yes
NVIDIA RAPIDS
Yes
OpenMemory
Yes
Pricing Details
$9.99 per strategy session
Pay-as-you-go, subscription, and credit packs are available. Free version available
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
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
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
EntreDash, Inc.
Founded
2026
Country
United States
Website
entredash.com
Vendor Details
Company Name
Plotly
Founded
2013
Country
Canada
Website
plotly.com
Product Features
Product Features
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No
Data Visualization
Analytics
Yes
Content Management
No
Dashboard Creation
Yes
Filtered Views
No
OLAP
No
Relational Display
No
Simulation Models
Yes
Visual Discovery
No
Embedded Analytics
Ad hoc Query
No
Application Development
No
Benchmarking
No
Dashboard
No
Interactive Reports
No
Mobile Reporting
No
Multi-User Collaboration
No
Self Service Analytics
No
Streaming Analytics
No
Visual Workflow Management
No