Built by researchers from Imperial College and UC Berkeley
Lovable for AI Models
We are building a platform to vibe train machine learning models end-to-end via simple natural language commands. Clusy sources datasets, preprocesses data with EDA, picks the best model architecture, queries and finds best GPU providers and handles the actual training.
Our team
Ju Lin
Member of Technical Staff
Working on
Agent, UI/UX & workflow
Currently
- MSc Computational Engineering @ Imperial
- Research @ Imperial (Energy Futures Lab)
Previously
- Aeronautical Engineering @ HKPolyU
- Co-founder @ EmoBay Limited
- Research @ HKPolyU (IPN Lab), UGent (STFES)
- Intern @ Lifesparrow (Forbes 30u30)
Eldar Hasanov
Member of Technical Staff
Working on
Infra & security
Currently
- MSc Computing (Security & Reliability) @ Imperial
- Research @ Imperial (LSDS Lab)
Previously
- Computer Science @ UC Berkeley
- Project Lead @ Berkeley CS Ed Group and ACE Lab
- Research @ USC (ISI) and NASA (Stardust Mission)
- Intern @ 1PR and Anthems Music Sharing
How it works
clusy.io
Workflow
Upload Dataset
Drop your files here
CSV, JSON, Parquet supported
tickets_2024_Q1.csv
And 2 others (680 MB)
Request a demo
Tell us about your team and we'll reach out to schedule a demo.