Space is getting
crowdednoisy
Loading Earth visualization...
Satellite Spectrum at Its Breaking Point
Over the years satellite growth has drastically outpaced available satellite spectrum—forcing your fleet to share a fixed slice of bandwidth with thousands of other spacecraft and leading to growing challenges with interference and coordination.
Unlock Your Satellite Spectrum
Vega gives you the tools to forecast satellite spectrum interference up to 7 days in advance and grow the value of your satellite spectrum—ensuring you get the most from every satellite on orbit.
Start free with a demo satellite (ISS). All features free during early access.
About Vega
Vega is building the coordination layer for all satellite spectrum.
Using physics-based modeling, we forecast signals—like a weather report—for 15,000+ satellites, and provide a marketplace for operators to reliably maximize the value of their spectrum. Founded by SpaceX and Harvard Business School alumni, Vega is building the coordination layer that makes space spectrum predictable and dynamic—in order to unlock a future with space data centers and global direct-to-device connectivity at scale.
The Problem
All of the value from space flows through one thing—spectrum. Spectrum is what connects satellites to the ground, to customers, to revenue. But spectrum is a finite resource, locked up in fixed chunks per operator, leading to large portions wasted while the number of satellites continues to grow.
Satellite growth is drastically outpacing available spectrum:
- 24% CAGR in satellite deployment
- 10x increase in active satellites since 2013
- Spectrum allocation nearly flat over the same period
Without an effective way to coordinate, operators try to squeeze the most out of what they have. The result is like a loud restaurant getting louder, as everyone tries to talk over the noise.
On Earth, cellular networks learned how to make finite spectrum feel abundant. 5G and LTE do this by coordinating continuously—scheduling access, adapting to demand, and managing interference in real time. No equivalent exists for space.
- Only 0.14% satellite spectrum occupancy vs 4.31% terrestrial average
- 170x worse spectrum utilization than cellular networks
- 1,000+ organizations operating independently
- 93% of satellite operators report experiencing interference annually
Space's future is either congestion or coordination.
The Solution
Vega provides satellite spectrum orchestration in two steps:
- Forecast — predict when and where interference risk will arise, up to 7 days in advance
- Exchange — dynamically trade spectrum in response to interference and gaps
We predict interference days in advance—like a weather forecast for space signals. This allows operators to act before customers feel it: adjust link margins, reschedule downlinks, shift traffic to cleaner windows, or acquire additional capacity on demand through the marketplace.
The marketplace transforms underutilized spectrum from an illiquid asset into a dynamic revenue stream. Operators can monetize idle bandwidth and acquire additional capacity on demand—turning idle bandwidth into revenue and resilience.
We never use spectrum ourselves—we enable those who do.
Why We Built Vega
I built Vega because the link connecting satellites back to the Earth is fraying.
— Trent Voris, Founder & CEO
Trent Voris holds a B.S. and M.S. in aerospace engineering from Cal Poly and an MBA from Harvard Business School. He started his career as an early engineer at SpaceX and then joined Astra Space where he developed mobile launchpads and Rocket 3.0 that ultimately made it to space helping the company to go public in 2021. Most recently, he served as resident entrepreneur at the advanced research and development division of Leidos, leading programs for Space Force and DARPA customers.
AI fluency is a hiring requirement at Vega—every role is expected to leverage AI as a core part of the job. This lets a small team punch well above its weight and keeps headcount lean as the company scales.
Why Now
Recent developments are driving satellite spectrum toward a dynamic system.
Satellite growth is accelerating. A 24% CAGR in satellite deployment, magnitudes lower launch costs, and increases in satellite cost performance are putting unprecedented pressure on the spectrum.
Data demand is surging. AI-driven network traffic is growing at 22% CAGR, data centers in space are emerging as a trend, and direct-to-device connectivity is expanding.
Regulation is reforming. The FCC is opening satellite spectrum to flexible use. New rules from the World Radiocommunications Conference 2023 enable flexible ground station operations. 100% software-defined satellites are expected by 2040.
AI makes it possible. Interference analysis today is repetitive and manual—operators coordinate through phone calls, spreadsheets, and ITU filings that haven't changed in decades. The qualified spectrum engineers who can do this work are scarce and expensive. Machine learning and hyperscale computing now allow us to forecast the entire space domain days in advance.
The Data Foundation
Vega's operational context database is the strategic moat that makes forecasting possible and defensible. The platform currently tracks:
- 22,000+ satellites in database (15,000+ active in orbit)
- 27,364 frequency allocations
- 1,113 organizations
This data layer—aggregated from public records including JSPOC, FCC filings, and ITU databases—provides the foundation for all forecasting and marketplace operations.
Who We Serve
Commercial operators — Vega provides free 7-day RF forecasts for satellites and constellations predicting when and where interference will occur—before it happens. This means fewer unexplained outages, faster root-cause analysis, and answers ready before customers can ask why—no new hardware or cumbersome integration required.
Defense and intelligence — Vega delivers space domain awareness through signals intelligence and threat prediction. Our physics-based models leverage a database of satellite and beam specifications for interference forecasting, electromagnetic anomaly detection, and pattern-of-life analysis.