What is Unimodaly Ingest?
Unimodaly Ingest is the world’s first truly unified data-ingestion CLI for machine learning. It automatically detects text, image, audio and tabular files, then validates, samples and augments them into a single, schema-validated dataset ready for training.
Problem
Users manually process multimodal data (text, image, audio, tabular) for machine learning, which is time-consuming, error-prone, and lacks automated validation/augmentation.
Solution
A CLI tool that auto-detects file types, validates, samples, and augments data into ML-ready datasets (e.g., converts raw files into schema-validated Parquet/WebDataset formats).
Customers
Machine learning engineers, data scientists, and AI researchers working with diverse data types in tech companies or startups.
Unique Features
First unified ingestion pipeline supporting text/image/audio/tabular data with built-in schema enforcement, auto-sampling, and augmentation without separate tools.
User Comments
Saves 80% dataset prep time
Eliminates custom scripts for each data type
Essential for multimodal AI projects
Simplifies collaboration across teams
Reduces training data errors
Traction
Launched 3 months ago with 1.2k GitHub stars
Used by 850+ ML teams
Integrated into PyTorch/TensorFlow workflows
Market Size
The global machine learning data preparation market is projected to reach $4.8 billion by 2028 (Grand View Research, 2023).
