Microgravity Intelligence Platform

The intelligence layer for microgravity research and manufacturing

Design, monitor, and predict microgravity experiments — from simulation to in-flight analytics to post-flight modeling.

Trusted by leading research and space organizations
The challenge

Microgravity experiments are scarce. Every run has to teach you more.

Flight opportunities are limited, expensive, and data-rich. The challenge is turning every experiment into clear decisions, stronger models, and more reproducible results.

Typical flight opportunities
per year
1–2 / yr
Cost per campaign
$1–$4M
Experimental data
complexity
High
How it works

One workflow from design to flight to model.

G-SPACE connects simulation, in-flight analytics, and post-flight modeling so every run improves the next one.

01

Design before flight

Model experiment conditions and identify the most informative configurations before flight.

02

Monitor in flight

Convert imagery, sensor streams, and experiment outputs into quantitative signals as runs unfold.

03

Predict after flight

Use flight data to refine models, explain outcomes, and guide the next experiment.

The platform

A unified intelligence layer for microgravity.

G-SPACE connects experiment design, data analysis, and predictive modeling in one workflow. Teams turn terrestrial baselines, flight data, imagery, sensors, and materials characterization into usable insight.

  • Design and compare conditions before flight
  • Monitor imagery, sensors, and signals during flight
  • Build models that improve future runs
See the Full Platform →
G-SPACE · Microgravity Intelligence Platform
Experiments
Run 04 — Active
Run 03
Run 02
Run 01
Materials
Protein Cryst.
ZBLAN Fiber
Experiment Model — Run 04
Live
YIELD %
87%
Model confidence
4
Runs compared
−$10M
Risk reduced
Industries

Built for microgravity R&D and manufacturing teams.

Workflows for designing experiments, interpreting flight data, and scaling reproducible processes.

What customers say

Trusted by teams pushing microgravity research forward.

“G-SPACE's Microgravity Analytics Platform is incorporated in the NASA Physical Science Informatics (PSI) data repository to accelerate discovery across disciplines from the NASA microgravity dataset and translate findings into real-world benefits here on Earth.”
Lead Scientist, Microgravity Physical Sciences
NASA
“Whether analyzing legacy datasets or supporting next-generation experiments, G-SPACE gives scientists the tools to transform microgravity data into discovery -- on Earth and in orbit.”
Program Manager, NASA Biological and Physical Sciences
NASA
“By combining ML and physics-based models with space science, G-SPACE helps bridge Earth and orbit for R&D teams across biotechnology, materials science, and advanced manufacturing, enabling experiment optimization and outcome prediction that reduce costs and de-risk every flight.”
Director of Strategic Engagement
ISS National Lab
“The G-SPACE platform gives you the intelligence to understand and predict what will happen in microgravity. From simple graphical manipulation to deep AI/ML-based analysis and physics-based models, it is a wonderfully next-level tool for life sciences and materials work.”
Senior Director
Blue Origin
“In low-gravity, the parametric space is vast and individual simulations can take weeks to run. G-SPACE standardizes analysis, tracks phenomena, and enables direct comparison across gravity conditions and surface patterns, all without custom scripting. It lets students and researchers spend less time on data infrastructure and more time on the underlying science.”
Professor
Low-Gravity Heat Transfer Research
“When every student builds their own ML-based analysis tools to convert raw data into basic physics, you can't compare results across experiments. G-SPACE solves that -- one standardized, tested platform that lets researchers focus on advanced science, not the data pipeline.”
Professor
Multiphase Transport
“G-SPACE's platform transforms experimental imagery and sensor data into quantitative physical properties and predictive insights, allowing engineers to model, optimize, and redesign semiconductor growth processes before the next flight experiment.”
CTO
Semiconductor Manufacturing Company
“We are excited to be working with G-SPACE's ML-powered microgravity platform to support the optimization of our bio-manufacturing process. By turning experimental data into quantitative decision-ready insights, G-SPACE helps us better understand each manufacturing step, improve quality and yield, and de-risk scaling production in space.”
CEO
Biomanufacturing Company
“G-SPACE's AI/ML platform gave us the ability to quantify microgravity's effect on our muscle tissue chip performance directly from video data recorded aboard the International Space Station. Their algorithms are purpose-built for the microgravity environment, and for in-space manufacturing of biological systems, that capability is critical.”
CEO
Tissue Engineering & Space Biomanufacturing Company
“Our preliminary experiments on zero-gravity flights showed significant improvement in printed electronics under microgravity -- but to truly leverage that advantage, you need to understand why. G-SPACE enables us to predict how microgravity enhances material behavior, allowing us to design targeted experiments that maximize performance and generate unique devices for use on Earth and in space.”
Professor, Microgravity Printed Electronics
Nirmala Kandadai, Oregon State University
Why G-SPACE

Purpose-built for microgravity learning loops.

G-SPACE is not just analytics or simulation. It is the data and modeling layer that connects design, flight, analysis, and the next run.

01

Turns data into decisions

Move from raw outputs to clearer hypotheses, better parameters, and stronger future experiments.

02

Full-lifecycle workflow

Connect pre-flight planning, in-flight monitoring, and post-flight modeling in one learning system.

03

Grounded in experiment data

Build predictions from real microgravity data, mission constraints, and observed behavior.

Ready to start

Make microgravity measurable, reproducible, and scalable.

Plan better experiments. Understand flight behavior faster. Build models that make each run more valuable.

Measurable
Reproducible
Scalable