Mantid

Mantid is an AI model training application that builds machine learning models and custom LLMs locally on macOS.

Mantid is a desktop application that trains machine learning models and custom large language models directly on local hardware. Users drop in spreadsheets, exports, PDFs, Word files, emails, notes, and folders of documents, and the application reads the data, suggests relevant questions, and trains a model locally. It measures every model against a baseline guess, provides specific feedback to improve performance, supports model versioning, and allows users to export models or connect them locally via MCP. The application is designed for users who want to train AI models on their own machine without creating an account or sending data to external servers. It runs on macOS with Apple Silicon and requires 8 GB of memory for machine learning models or 16 GB for LLMs.

Mantid at a glance

Best for: Product manager, Founder
Runs on: macOS, API
Pricing: Free plan; hosted option with API and MCP available with usage-based fees
Released: October 2026
Category: AI agent tool
Website: mantid.dev

Key features

Trains machine learning models and custom LLMs locally
Accepts spreadsheets, PDFs, Word files, and emails
Measures model performance against simple baseline guesses
Provides actionable feedback for improving low-performing models
Supports model versioning to switch between iterations
Exports models for independent deployment
Connects models locally using MCP

Use it for

Predicting customer churn and gym member retention
Forecasting check-ups, sales leads, and bakery inventory
Answering questions based on local document collections
Processing local files to generate text or tables

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