Start with a real question.
In ExoScope, the goal is to make exoplanet data more accessible to researchers and curious minds.
INDEPENDENT TECHNOLOGY & RESEARCH
Ideas into
instruments.
We bring scientific questions into working prototypes. A small team connecting data, machine learning, and thoughtful engineering.
Explore our workDRIVEN BY CURIOSITY.
GROUNDED IN THE WORK.↓
GROUNDED IN THE WORK.↓
FIG. 01 / FROM NOISE TO STRUCTURE
01 / SELECTED WORKONE QUESTION. A WORKING PROTOTYPE.
Finding the signal.
Opening the search.
Our first project brings machine learning to an extraordinary question: what can the data tell us about worlds beyond our own?
ExoScope
Machine learning for the search
beyond our solar system.
EXOSCOPE / SIGNAL STUDYILLUSTRATIVE
Transit profileSynthetic observations
A SMALL DIP. A QUESTION WORTH EXPLORING.
02 / OUR APPROACH
Curiosity is the start.
Engineering is the practice.
ExoScope reflects the way we work: understand a scientific problem, test an approach, and make the result something people can explore.
Let the evidence lead.
Feature engineering and comparisons across XGBoost, LightGBM, and Random Forest turn ideas into testable models.
Make it explorable.
A web prototype connects the analysis to an interface for datasets, filters, and visual exploration.
03 / NEXT CONVERSATION
Good questions
bring us together.
Interested in scientific tools, machine learning, or the next chapter of ExoScope? Explore our approach and the work so far.
contact@neona.science