Spectrum waste
Orbital-speed physics forces operators to leave roughly 30% of their licensed spectrum unused as a mandatory safety buffer. They own it. They pay for it. They cannot monetize it.
Software-defined waveforms for satellite communications
Rayphase is a software license for the radios already in orbit. One over-the-air update recovers the licensed spectrum operators cannot use today, holds throughput through weather, and hands power back to the payload. No new hardware. No new launches.
The problem
Thousands of new low-orbit satellites are joining the largest infrastructure buildout in the history of the space industry, and the data they carry — driven by AI workloads moving into orbit — is set to grow a hundredfold within five years. The networks they join inherit three structural inefficiencies baked into the physics of legacy radio.
Orbital-speed physics forces operators to leave roughly 30% of their licensed spectrum unused as a mandatory safety buffer. They own it. They pay for it. They cannot monetize it.
Rain or dense cloud over a ground station throttles data speeds by up to 66% to keep links alive. That means breached SLAs, delayed Earth-observation deliveries, and degraded defense capability — daily, in most markets.
Constant onboard signal correction consumes up to 30% of a satellite's electrical budget — power that is not available for the compute, sensors, and throughput that actually generate revenue.
None of these problems are new. Until now, no commercially deployable software solution has existed.
The solution
Rayphase is not a satellite company. We write software that runs on the programmable radio chips already installed in satellites and ground stations. A 20 Gbps network becomes a 25–30 Gbps network on the same orbital slot, the same frequency license, and the same ground infrastructure.
Integration on the ground is comparable to a software driver installation. Adoption costs are orders of magnitude lower than hardware-based alternatives, because the hardware is already flying.
Technology
Rayphase is built on the Affine Fourier Transform — a waveform that natively mirrors the geometry of orbital motion instead of correcting distortion after the fact. The mathematics has been formally derived, independently validated, and published in peer-reviewed IEEE literature — co-authored by our CEO. The core algorithm has been computationally modeled at speeds matching real low-orbit trajectories, with independently reproducible results.
The Affine Fourier Transform result is proven and peer-reviewed — not a hypothesis. The publication is public; the low-complexity implementation that makes it fly is ours.
Hardware-in-the-loop testbeds with physical radios and channel emulation carry the result from simulation to real signal behavior, on the test standards aerospace procurement expects.
A live in-orbit demonstration aboard a commercial rideshare mission establishes the flight heritage that fleet-wide deployment requires.
Team
Co-Founder, CEO & Chief Scientist
PhD in space telecommunications and co-author of the peer-reviewed IEEE research that provides Rayphase's mathematical foundation. Serial founder — co-founded Uhura Solutions (Techstars Tel Aviv 2018, $2.5M raised) — with deep relationships across the defense DSP and space communications research communities.
Co-Founder & CTO
Director of Engineering at Automattic, running infrastructure behind WordPress.com — 180M+ websites and 20B+ page views a month. MSc in Computer Science with a machine-learning specialization. He owns the path from a simulation result to a certified, deployed aerospace software package.
We make AI data move beyond Earth
Operators, integrators, and researchers — we'd like to hear from you.
Investors: we're raising our seed round — reach out at [email protected].