
NextBrain AI

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About
NextBrain AI is an end-to-end AI-powered platform designed to simplify machine learning for businesses without requiring coding expertise. It offers solutions for data preprocessing, model training, and prediction, allowing users to interact with data in natural language. The platform leverages generative AI, including ChatGPT, Google Gemini, Azure, and local LLMs, and supports on-premise solutions for maximum privacy. Key benefits include enhanced accuracy, relevance, and efficiency in handling large datasets. It provides clear explanations of ML processes and delivers actionable insights for informed decision-making. NextBrain AI supports various business cases such as diabetes prediction, energy efficiency modeling, Li-ion battery aging analysis, and Marketing Mix Modeling, demonstrating high performance and accuracy compared to leading ML products.
Platform
Features
• end-to-end platform for data preprocessing, model training, and prediction
• find the best pricing strategies
• enhance roi through marketing segmentation
• chat with all your documents using rag
• generative ai assistant using llm for data transformation
• connectivity with various data sources and applications
• fast, accurate & easy machine learning capabilities
• explained ml & actionable insights
FAQs
What Predictive Models Does Our System Use?
Our platform uses Large Language Models (LLMs like Azure ChatGPT 4, LLama2, OpenAI, Mistral), and models for Classification, Regression (Linear, Decision Tree, Random Forest, Neural Network, etc.), and Forecasting (Arima, Sarima, Prophet, Bayesian).
How do these models work in simple terms?
We split data into training (80%) and test (20%) sets. Models are trained to reduce prediction errors on the training set. Then, they are evaluated on the unseen test set to ensure good generalization and accuracy.
What is the tech underneath?
Our system features an advanced API service supported by specialized components and cutting-edge database technologies. It includes a unique multi-agent system for intelligent and adaptive query processing.
We have identified a number of Use Cases
In addition to provided cases, our platform can make forecasting predictions, validate business hypotheses, clean user data, perform counterfactual analysis, and anonymize data including synthetic data.
How do you calculate the feature importance of the models?
We calculate both global and specific feature importance using SHAP values.
How do you decide about the best parameters of each ML model? Do you use hyperparameter optimization methods?
We employ a competitive method among various models, including different Neural Network configurations, to fine-tune all hyperparameters and implement checks for overfitting to ensure robust generalization.
Pricing Plans
Freelance
Unknown Price• 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
Small Business
Unknown Price• 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
Enterprise
Unknown Price• 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
Free
Free Plan• 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
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
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