Neurobase AI Agent & MCP Tools vs Quick ML

Neurobase — Train Your Own AI. Build Pipelines. Run Agents. Create intelligent Neurons powered by your own content. Upload PDFs, books, videos, YouTube links, images, and web pages to train custom AI models — then chain them into powerful agent pipelines that process and transform your data. Why Choose Neurobase? • Train Custom AI Models — Feed your Neurons with books, PDFs, videos, YouTube links, web pages, images, and documents. Your AI, trained on your data. • Visual Pipeline Builder — Drag and connect Neurons with operations to build multi-step AI agent workflows. No code required. • Run Pipelines Instantly — Execute your agent pipelines with one tap. Input text, get audio. Input questions, get sourced answers. The possibilities are endless. • Source-Cited Answers — When you chat with a Neuron, every response references the exact source so you can verify and trust the information. • Wide Range of Operations — Convert between text, audio, images, and more. Chain multiple transformations in a single pipeline. • Multiple Neurons — Create separate AI models for different projects, topics, or data collections. Key Features: • Multi-Source Training — Upload PDFs, DOCX, TXT, video files, YouTube URLs, web links, and images to train your Neurons. • Agent Pipelines (Neurobases) — Build visual workflows connecting Neurons with conversion and transformation nodes. • Flexible I/O — Pipelines support text, audio, image, and document inputs and outputs. • Pipeline Marketplace — Discover and share agent pipeline templates in the Market. • Lab — Experiment with AI capabilities and test your Neurons. • Learn — Educational content to master AI agent building and pipeline design. Perfect For: • AI Enthusiasts — Build and train your own AI models without coding. • Content Creators — Transform content across formats with automated pipelines. • Researchers — Train AI on your papers and datasets, then query with source citations. • Professionals — Automate document processing, content conversion, and data workflows. • Developers — Prototype AI agent architectures visually before coding. Start Building Your AI Today! Download Neurobase and create custom AI models trained on your data. Build powerful agent pipelines. Transform how you work with information. DISCLAIMER: This app offers in-app subscriptions that unlock premium features and enhanced functionality. Some advanced AI capabilities require a paid subscription. Privacy Policy: https://getneurobase.com/privacy Terms of Use: https://getneurobase.com/terms

Quick ML is a complete data-science studio for iPhone and iPad. Import real datasets, explore and clean them properly, train machine-learning models, and make predictions - the whole workflow, entirely on device. Built for data scientists and students of data science who don't always have a laptop with Python to hand. FREE TO TRY, ONE PRICE TO OWN The free version is a real studio, not a demo: import files of any size (CSV, Excel, parquet, JSON, XML), shape local JSON and XML visually, combine two projects on a key, explore and clean without limits, train the classic algorithm for each task (linear regression, logistic regression, k-means, and the image classifier), evaluate honestly, and predict. When you want more, Quick ML Pro is a single purchase that unlocks all 19 algorithms, auto-tuning, imports from web pages, APIs, GraphQL, Kaggle, and PostgreSQL, refresh and lookup joins, dashboards, Core ML and Python export, project sharing, and applying anonymisation. No subscription, no account. Yours forever. NO LAPTOP? NO PROBLEM On the train, in a lecture, at a client's site, on the sofa: open a dataset the moment you get it and have a trained, evaluated model before you're anywhere near a computer. A million-row CSV is fine - data streams into a local store and never loads into memory at once. PRIVATE BY ARCHITECTURE Everything computes on your device. No accounts, no uploads, no analytics - your data never touches a server, which also makes it an easy answer when the dataset is sensitive. Projects sync privately between your own devices through your own iCloud. IMPORT ANYTHING CSV and TSV, Excel workbooks, Word and PDF documents, parquet, ZIP archives, web pages with tables, JSON, XML and GraphQL APIs, Kaggle datasets, even a PostgreSQL database. Sources can refresh later: re-import, append, merge new rows on a key, or keep a history of every fetch as a time series. EXPLORE AND CLEAN PROPERLY Full descriptive statistics, histograms, box and violin plots, correlation heat maps, pair plots, and nine statistical tests with plain-English verdicts. A one-tap Data Health Check profiles every column and suggests cleaning steps, each with its reason. Every change is a recorded recipe step - fills, filters, tidy dates, dedupe, outlier trims, derived columns (date parts, bins, ratios, lags, rolling windows, text features) - replayable, synced, and individually undoable, like a pandas script you can swipe. TRAIN REAL MODELS Regression, classification, and clustering: linear and logistic regression, decision trees, random forests, boosted trees, neural networks you design visually, k-nearest neighbours, SVM, Naive Bayes, k-means, DBSCAN, Gaussian mixtures. Honest seeded or time-ordered splits, cross-validated auto-tuning, class balancing, and full evaluation: R2 and RMSE, confusion matrices, ROC and AUC, permutation feature importance, learning curves. STUDYING DATA SCIENCE? IT SHOWS ITS WORKING Every screen explains what the numbers mean and why each step matters, from quartiles to overfitting. Then How to Do This in Python exports your exact pipeline as a Jupyter notebook - every step as pandas and scikit-learn code with the reasoning in markdown so what you did on the sofa becomes the coursework, and the concepts transfer straight to the tools you're learning. WORKING DATA SCIENTIST? TAKE THE RESULTS WITH YOU Export any trained model as a Core ML .mlmodel and drop it into an Xcode project or Core ML pipeline. Run batch predictions over a whole file, score held-out validation sets, compare model versions, build live dashboards, and generate a client-ready PDF report of the entire project in one tap. If you have data and a phone, you have a data-science workstation.