Awareness that does not ask permission from a foreign server.
Orbits and airspace are sovereign concerns — the systems that watch them should be too. QCore builds situational-awareness platforms that run on your infrastructure, reason in the open, and keep working when the uplink does not.
- [ SOVEREIGN ASTRODYNAMICS ]
- [ EDGE AI · NO GPU REQUIRED ]
- [ OFFLINE-FIRST ]
VYOMA SOVEREIGN SPACE DOMAIN AWARENESS PLATFORM
A conjunction warning is only trustworthy if you can inspect the mathematics behind it. VYOMA is indigenous space domain awareness: a fused catalogue of resident space objects, a sovereign astrodynamics core, and screening logic whose every output arrives with its working shown.
Conjunction screening
CCSDS-aligned screening computes miss distance and collision probability for every close approach — the numbers behind each warning are inspectable, not oracle output.
RPO & manoeuvre watch
Behavioural AI — an Isolation Forest over orbital features — flags rendezvous and proximity operations and unexpected manoeuvres, with auditable score, label, and confidence on every verdict.
Wargaming & replay
A scenario library, timeline replay, scoring, and after-action review turn the live platform into a training range. The mission planner auto-proposes asset tasking.
Interactive 3D orbital picture
The fused catalogue rendered as an interactive three-dimensional picture — select an object, see its history, its predicted path, and every screening verdict against it.
Sovereign astrodynamics
SGP4/SDP4 propagation on WGS-84 and IAU-82 frames, implemented and validated in-house — no verdict depends on a foreign service being online, honest, or friendly.
Auto-composed commander brief
The platform writes the morning picture itself — conjunctions, anomalies, watch items — composed from the same auditable data the analyst sees.
DRONA-NET INTEGRATED AI DRONE COMMAND & THREAT DETECTION
One console for the whole fleet — quad, VTOL, fixed-wing, and hex airframes — with recognition-grade AI that runs on CPU-class hardware. No cloud. No GPU rack. No excuses at the edge.
Real-time fleet management
Multi-drone command and control with waypoint navigation, live battery state, and AI prognostic health — the operator sees problems before the airframe does.
Onboard-class AI
YOLOv8 recognition, identification, and targeting support running on CPU-class hardware — deployable on platforms that cannot carry a GPU or reach one.
Standards-native C2
STANAG 4586 and MAVLink v2 interoperability, with 360° situational awareness fused into a single operational picture. Runs fully on-premises or at the edge.
- Airframes
- Quad, VTOL, fixed-wing, and hex platforms managed from one console, simultaneously.
- Navigation
- Waypoint navigation with live battery state and AI prognostic health per airframe.
- Perception
- YOLOv8 recognition, identification, and targeting support on CPU-class hardware — no GPU, no cloud inference.
- Deployment
- Fully on-premises or at the edge; the command picture survives a severed uplink.
Questions we actually get asked
What makes VYOMA "sovereign"?
The astrodynamics core is indigenous — SGP4/SDP4 propagation on WGS-84 and IAU-82 frames, implemented and validated in-house, running on your infrastructure. No conjunction verdict depends on a foreign service being online, honest, or friendly.
How does the manoeuvre-watch AI justify its calls?
Every verdict ships with its score, label, and confidence, and the Isolation Forest features behind it are inspectable. An analyst can trace exactly which orbital behaviour tripped the alert — and overrule it on the record.
Can DRONA-NET really run its AI without a GPU?
Yes. The YOLOv8 pipeline is engineered for CPU-class hardware, because the edge does not have a data centre. Recognition, identification, and targeting support all run on-premises or on the platform itself — no cloud inference, no GPU dependency.
Run a scenario with us.
VYOMA evaluations start with a live conjunction screening and a wargamed scenario from the library. DRONA-NET demonstrates on real flight hardware.