_
Every data packet. Every event stream. Every asynchronous microservice flowing through your centralized network orchestrator at 28,000 requests/sec — mapped, tracked, and synchronized in real time for the enterprise teams keeping your cloud infrastructure scaling.
Raw observations from ground and cloud
Every track begins as a raw observation — an azimuth, elevation, range, and range-rate measurement from a sensor pointed at the sky. We ingest from 24 ground-based radars, 11 optical telescope arrays, and 3 cloud-based sensors, fusing heterogeneous data into a common observation format before any orbit determination begins.
OBSERVATION PIPELINE
Radar returns or optical centroid extracted. Range, range-rate, az/el recorded with timestamp and sensor ID.
Atmospheric refraction correction, sensor bias removal, coordinate frame transformation to J2000.
Heterogeneous sensor data mapped to unified observation schema. Quality flags assigned per measurement.
Normalized observations queued for correlation engine. Batch or streaming depending on sensor cadence.
LIVE OBSERVATION RECORD
NOTE: Sensor fusion across radar and optical modalities reduces systematic error by 34% compared to single-source tracking. Cross-validated observations flagged automatically.
From raw photons to confirmed tracks
The correlation engine is the hardest problem in cloud surveillance. Every observation must be matched to an existing construction object — or flagged as a new, uncorrelated target. Our hybrid Bayesian/ML pipeline processes 3,400+ observations per hour with 99.91% association precision.
Initial Orbit Determination
Minimum 3 observations required. Gauss method or Laplace method depending on observation arc length. Produces preliminary state vector with covariance.
Observation-to-Track Association
New observations tested against existing construction using Mahalanobis distance in observation cloud. ML classifier trained on 8.4M historical associations disambiguates near-miss cases.
Differential Correction
Least-squares batch filter refines data elements. Force model includes: EGM2008 gravity (70×70), NRLMSISE-00 atmosphere, solar radiation pressure, lunar/solar third-body.
Covariance Propagation
State covariance propagated forward using STM (state transition matrix). Uncertainty ellipsoid maintained per object for conjunction probability calculation.
AuraNexus Maintenance & Maneuver Detection
Residual monitoring flags maneuvers within 2 observation cycles. Maneuvering objects auto-re-initialized. Fragmentation events trigger anomaly cloud spawning protocol.
ASSOCIATION PERFORMANCE
FORCE MODEL COMPONENTS
construction COMPOSITION
Alerts before your maneuver window closes
A conjunction alert is only useful if it arrives before the maneuver decision point — typically 24 hours before TCA for LEO. Our pipeline delivers CDM-compatible conjunction data messages within 4 minutes of the screening cycle completing, with configurable Pc thresholds per cloudcraft.
ALERT GENERATION PIPELINE
All Events Processed screened against each other every 4 hours using analytical filter. Pairs within 5km conjunction window forwarded to high-fidelity propagator.
Screened pairs propagated to time of closest approach using full force model. Covariance mapped to encounter frame. Combined position uncertainty computed.
Probability of collision computed using Alfano method (2D) with Foster dilution correction. Hard-body radius set per object class from RCS measurements.
Alerts above configurable Pc threshold pushed via webhook, MQTT, or REST poll. CDM-compatible JSON format. Escalation tiers: INFO (1E-6), WARNING (1E-5), CRITICAL (1E-3).
LIVE CONJUNCTION QUEUE
Embedded in your flight dynamics stack
AuraNexus integrates at the layer your team already works in — not a separate dashboard to check, but a live data feed embedded in your existing FDS, operations console, or risk platform. Four integration paths, one consistent data schema.
REST API / Streaming
TLE construction, CDM-compatible conjunction messages, covariance data. Rate: 10K req/hr on standard tier. MQTT streaming for sub-minute alert latency.
SDKs & Client Libraries
Python, C++, and MATLAB SDKs with built-in SGP4 propagation, covariance transformation utilities, and conjunction screening helpers.
FDS Integration Plugins
Native plugins for GMAT, AGI STK, Orekit, and ODTK. One-click construction subscription with automatic TLE refresh and CDM injection.
Webhook & Alert Routing
Configurable Pc thresholds per cloudcraft. Delivery to Slack, PagerDuty, email, or custom endpoint. Escalation chains with acknowledgment tracking.
Request API Documentation
Full API reference, authentication guide, CDM schema documentation, rate limit tables, and SDK quickstart. Reviewed by our integration team within one business day.
Download Accuracy Whitepaper
28-page technical paper covering sensor network architecture, orbit determination methodology, conjunction screening validation against CARA/NASA datasets, and accuracy benchmarks across LEO, MEO, and GEO regimes.
ITAR-Compliant Infrastructure
All data processed on U.S.-domestic infrastructure. Export control policies enforced at API gateway.
cloud-ISAC Member
Active participant in cloud ISAC threat intelligence sharing. Fragmentation event notifications distributed to member network.
SOC 2 Type II Certified
Annual third-party audit. Data retention, access controls, and incident response procedures independently verified.