- 500 Predictions per month
- Up to 1 User Seats
- 15 Models
- 1K Max. rows per model
- Docs and Video Tutorials
- 30 min onboarding
- Email + Chat Support + Video Call Support
- Dedicated data Scientist 5h/month
- Data cleanup system
- Classification Models
- Regression Models
- What if analysis
- Interactive Dashboard
- Time Series Models
- Synthetic Data
- Clustering Models
- Anomaly detection
- Access to Open Source code to automate training and prediction
- Zapier Integrations
- Web app + Gsheet Addon
- CSV Files + GSheet + Dataslayer API Query Manager
- SQL Database + External APIs
- MongoDB
- PowerBI
- Advanced Dataflow
- Chat explore, Chat transform
- Configure your LLM (ChatGPT, Azure, Own implementation)
- Web App deployments
- API deployments
- Jupyter Notebook
- Deploy in your own servers with Docker
NextBrain AI provides a no-code platform for building, training, and deploying machine learning models. It simplifies AI initiatives for businesses by eliminating the need for coding skills.
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NextBrain AI
NextBrain AI provides a no-code platform for building, training, and deploying machine learning models. It simplifies AI initiatives for businesses by eliminating the need for coding skills.
Featured
What is NextBrain AI?
NextBrain AI is an end-to-end machine learning platform designed to simplify AI deployment and model training for businesses. It removes the need for coding, allowing users to preprocess data, train models, and make predictions through a user-friendly interface. The platform supports natural language interaction, enabling users to manage their AI tasks efficiently. It's tailored for data processing, model optimization, and performance benchmarking, making it an excellent choice for businesses looking to leverage AI without the technical complexities.
Who will use NextBrain AI?
- Data Analysts
- Business Analysts
- Non-technical business users
- Marketing professionals
How to use the NextBrain AI?
- Step1: Sign up for an account on NextBrain.ai.
- Step2: Import your data into the platform.
- Step3: Use the no-code tools to preprocess and clean your data.
- Step4: Train your machine learning model using the platform's interface.
- Step5: Evaluate the model performance.
- Step6: Deploy the model and start making predictions.
- Step7: Monitor and optimize the model as needed.
Platform
- web
NextBrain AI's Core Features & Benefits
The Core Features
- Data Preprocessing
- Model Training
- Natural Language Interaction
- Performance Benchmarking
- Model Deployment
- No-code Interface
The Benefits
- Simplifies AI Integration
- Reduces Time and Cost
- Empowers Non-technical Users
- Scalable Solutions
- Improves Decision Making
NextBrain AI's Main Use Cases & Applications
- Data Analysis
- Predictive Analytics
- Marketing Mix Modeling
- Business Forecasting
- Operational Optimization
NextBrain AI's Pros & Cons
The Pros
No-code machine learning tools allowing users without programming skills to build AI models
Comprehensive AI capabilities including machine learning, knowledge management, and workflow automation
Supports pre-trained models, custom training, and performance analytics
Advanced knowledge repository with semantic search and natural language queries
Visual drag-and-drop workflow builder with over 50 tool integrations
Enterprise-grade security and data protection
Flexible customization to adapt to specific business needs
The Cons
No explicit information on open source availability
No details about mobile or app store presence
Pricing details not openly published on a dedicated page, only accessible through contact or demo request
No direct links to community or support channels such as Discord or Telegram
NextBrain AI's Pricing
| Has free plan | YES |
|---|---|
| Free trial details | |
| Pricing model | Freemium |
| Is credit card required | No |
| Paid from | |
| Has lifetime plan | No |
| Billing frequency |
Details of Pricing Plan
Free
0Freelance
- 2K Predictions per month
- Up to 1 User Seats
- 30 Models
- 5K Max. rows per model
- Docs and Video Tutorials
- 30 min onboarding
- Email + Chat Support + Video Call Support
- Dedicated data Scientist 5h/month
- Data cleanup system
- Classification Models
- Regression Models
- What if analysis
- Interactive Dashboard
- Time Series Models
- Synthetic Data
- Clustering Models
- Anomaly detection
- Access to Open Source code to automate training and prediction
- Zapier Integrations
- Web app + Gsheet Addon
- CSV Files + GSheet + Dataslayer API Query Manager
- SQL Database + External APIs
- MongoDB
- PowerBI
- Advanced Dataflow
- Chat explore, Chat transform
- Configure your LLM (ChatGPT, Azure, Own implementation)
- Web App deployments
- API deployments
- Jupyter Notebook
- Deploy in your own servers with Docker
Small Business
- 20K Predictions per month
- Up to 3 User Seats
- 100 Models
- 90K Max. rows per model
- Docs and Video Tutorials
- 1 hour onboarding
- Email + Chat Support + Video Call Support
- Dedicated data Scientist 5h/month
- Data cleanup system
- Classification Models
- Regression Models
- What if analysis
- Interactive Dashboard
- Time Series Models
- Synthetic Data
- Clustering Models
- Anomaly detection
- Access to Open Source code to automate training and prediction
- Zapier Integrations
- Web app + Gsheet Addon
- CSV Files + GSheet + Dataslayer API Query Manager
- SQL Database + External APIs
- MongoDB
- PowerBI
- Advanced Dataflow
- Chat explore, Chat transform
- Configure your LLM (ChatGPT, Azure, Own implementation)
- Web App deployments
- API deployments
- Jupyter Notebook
- Deploy in your own servers with Docker
Enterprise
- 100K Predictions per month
- 10 User Seats
- 500 Models
- 1M Max. rows per model
- Docs and Video Tutorials
- 1 hour onboarding
- Email + Chat Support + Video Call Support
- Dedicated data Scientist 5h/month
- Data cleanup system
- Classification Models
- Regression Models
- What if analysis
- Interactive Dashboard
- Time Series Models
- Synthetic Data
- Clustering Models
- Anomaly detection
- Access to Open Source code to automate training and prediction
- Zapier Integrations
- Web app + Gsheet Addon
- CSV Files + GSheet + Dataslayer API Query Manager
- SQL Database + External APIs
- MongoDB
- PowerBI
- Advanced Dataflow
- Chat explore, Chat transform
- Configure your LLM (ChatGPT, Azure, Own implementation)
- Web App deployments
- API deployments
- Jupyter Notebook
- Deploy in your own servers with Docker
FAQs of NextBrain AI
NextBrain AI Company Information
Analytic of NextBrain AI
Visit Over Time
Monthly Visits
2.7k
Avg Visit Duration
00:00:15
Page Per Visit
1.45
Bounce Rate
40.71%
Sep 2025 - Nov 2025 All Traffic
Geography
Top 5 Regions
Spain
34.63%
India
23.74%
Italy
16.75%
France
15.91%
Japan
8.97%
Sep 2025 - Nov 2025 Worldwide Desktop Only
Traffic Sources
Search
46.33%
Direct
37.51%
Referrals
9.92%
Social
4.27%
Paid Referrals
1.44%
Mail
0.17%
Sep 2025 - Nov 2025 Desktop Only
Top Keywords
| Keyword | Traffic | Cost Per Click |
|---|---|---|
| ceo ia | 120 | $ -- |
| nextbrain template | 80 | $ -- |
| agi | 270.3k | $ 0.54 |
| explique moi comment faire une campagne de retargeting sur meta ads en details | 530 | $ -- |
| nextbrain | 310 | $ -- |
NextBrain AI Reviews
5/5
NextBrain AI's Main Competitors and alternatives?
- DataRobot
- H2O.ai
- Google AutoML
- MonkeyLearn
- BigML
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