
CLARITY is the foundational AI engine that predicts satellite RF interference up to 72 hours ahead, so ground stations and satellite operators can reschedule, frequency hop, or maneuver before a single link degrades.
Mega-constellations are filling the spectrum faster than it can be coordinated. Most operators still find interference the hard way: after a pass is lost, a link degrades, or a customer calls. Reactive monitoring tells you what went wrong. It cannot tell you what is about to happen.
CLARITY (Cognitive Link Analytics for RF Interference TrajectorY) fuses orbital dynamics, RF propagation physics, space weather, atmospheric conditions, spectrum allocations, and your own asset data into one forecast. It tells you where and when interference will occur, how severe it will be, and what to do about it.
Interference risk windows up to 72 hours ahead, per site, per satellite, per band.
Severity-ranked alerts, so teams act first on what threatens the mission.
Recommended actions, including frequency hops, pass rescheduling, power adjustments, and maneuvers.
API-first delivery into scheduling systems, software-defined radios, and mission planning software, plus an operator dashboard.
Orbital data, space weather, atmospheric conditions, spectrum allocations, and your sites, antennas, and schedules.
Physics-based propagation modeling combined with machine learning.
Time-stamped risk windows, interference heatmaps, ranked alerts, and recommended actions, delivered by API and dashboard.
Protect every pass. Forecast conflicts across a global antenna network and schedule around them.
Keep links clean as constellations multiply. Plan frequency and power changes before degradation starts.
Protect service level agreements with advance warning instead of incident reports.
A predictive spectrum common operating picture for mission assurance and resilience.
Evidence-based visibility into congestion trends across bands and orbits.
Advance RF and spectrum research with a shared, physics-informed view of interference conditions across orbits and bands.
Detects interference after it happens. Teams scramble while service suffers.
Batch studies with manual updates. Useful for planning, too slow for live operations.
Continuous, predictive, and API-delivered. Forecasts conflicts before they occur and recommends the action.
Validated in an active operational beta with one of the world's top three ground station networks.
Encryption in transit and at rest.
Role-based access control.
Full audit logging.
A U.S. company with a formal export compliance program.
Core engine and data pipeline. Interference forecasting models. First operator integration.
Broader data coverage and partner network. Automated decision support. Multi-asset coordination.
Global deployment across ground and space assets. Autonomous orchestration. New verticals.
Self-optimizing, closed-loop operations. An AI-native operating layer for space.
A 3U CubeSat carrying an NVIDIA Jetson edge-AI payload, targeting launch in 2027. The first building block of GALILEO Centers, our modular orbital compute concept.

See CLARITY on your own sites and constellations. Every demo is tailored to your network.