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.

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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
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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.

01

Pharmaceuticals & Biotech

Design and model protein crystallization and biological systems across gravity conditions.

Protein Crystals · Drug Formulation · Biologics
→
02

Advanced Materials

Characterize material behavior as gravity-driven effects change, then improve future runs.

Alloys · Fiber Optics · Crystals · Composites
→
03

Semiconductors

Analyze crystal growth, defect formation, and process behavior for more predictable workflows.

Wafer Growth · Defect Reduction · Yield Prediction
→
04

Research & Academia

Turn raw experiment outputs into standardized analysis and stronger future hypotheses.

Data Analysis · Experiment Design · Knowledge Base
→
What customers say

Trusted by teams pushing microgravity research forward.

“The (G-SPACE) Microgravity Analytics Tool empowers researchers across disciplines to not only accelerate discovery in microgravity but also deliver real-world benefits here on Earth.”
Lead Scientist, Microgravity Physical Sciences
NASA
“NASA and g-SPACE remain committed to helping scientists transform data into discovery on Earth and in orbit.”
Program Manager, NASA Biological and Physical Sciences
NASA
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“By combining modern data infrastructure with space science, G-SPACE helps bridge Earth and orbit for R&D teams across biotechnology, materials science, and advanced manufacturing.”
Director of Strategic Engagement
ISS National Lab
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“This g-SPACE toolset would have sped up my bone biomechanics papers by weeks.”
Senior Director,
Blue Origin
“G-SPACE’s platform offers a valuable way to standardize analysis, track boiling phenomena such as bubble behavior, and compare results across gravity conditions and surface patterns.”
Professor
Research on Heat Transfer in low gravity
“I can only imagine how many WEEKS faster my bone biomechanics papers would have gone with something like this! ”
Erika Wagner
The Exploration Company
Read source →
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
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