AuraOne
Domain Lab

The universe doesn't repeat. Your process should.
Your telescope generates data every night. AI processes it by morning. You get real discoveries, not noise.
For survey teams where a missed transient is a missed discovery.

Ingest nightly FITS stacks. AI runs calibration, source detection, catalog cross-matching, and transient alerting. Evidence packages ready for go/no-go boards.

Your first run

One night of FITS data. Calibrated detections and alerts by morning.

Domain LabsAI LabsRegression Bank
Accepted formats
FITS / HDF5 / VOTable

Ingest nightly stacks and catalog data in standard astronomy formats.

Evidence standards
IAU / Observatory

Evidence packages for go/no-go boards and publication review.

Pre-built agent
survey-pipeline

Auto-calibration, source detection, catalog cross-matching, and transient alerting.

Focus Areas

What this lab is built for.

Surfaces designed for scientists, operators, and executives. Every output is versioned with provenance so no work is lost.

Automated Pipeline

Raw frames to clean detections.

  • Nightly FITS batch ingest with automatic header parsing
  • Bias, dark, and flat field corrections applied on ingest
  • Source detection with confidence scoring per frame

Intelligent Triage

Focus on real discoveries.

  • Cross-match against historical catalogs to identify new objects
  • Route borderline detections to human reviewers with context
  • Filter sensor noise and satellite trails automatically

Reproducible Science

Provenance for every photon.

  • Full audit trail of calibration and classification decisions
  • Regression Bank ensures consistent detection rates across runs
  • Export citation-ready data packages with provenance
Signature Workflow

How Astronomy runs.

Automated evaluation. Expert routing. Regression-tested releases.

Step 1

Ingest

Nightly observation processing.

  • Upload FITS stacks from telescope telemetry
  • Parse header metadata for pointing and conditions
  • Apply calibration frames automatically on ingest
Step 2

Detect

Transient identification and alerting.

  • Compare against reference frames to find changes
  • Classify candidates using light-curve history
  • Dispatch alerts to scheduling for follow-up observation
Step 3

Deliver

Evidence for boards and publications.

  • Capture human decisions on edge-case detections
  • Adapt detection workflows to your instrument profile
  • Export labeled detections and evidence for go/no-go boards

Overview

Ingest your nightly FITS stacks and get calibrated detections, catalog cross-matches, and transient alerts by morning. AuraOne Astronomy keeps artifacts out, routes uncertainty to humans, and makes every detection reproducible.

Astronomy capsule

Your telescope generates data every night. AI processes it by morning. You get real discoveries, not noise.

  • Ingest nightly FITS stacks. AI runs calibration, source detection, catalog cross-matching, and transient alerting. Evidence packages ready for go/no-go boards.
  • FITS / HDF5 / VOTable Accepted formats
  • Focus: Automated Pipeline
  • Workflow: Ingest

Precision filtering

Ingest FITS files, apply calibration steps, and flag candidates with confidence signals. Catalog comparisons and reviewer loops keep decisions grounded in evidence.

Astronomy capsule

Your telescope generates data every night. AI processes it by morning. You get real discoveries, not noise.

  • Ingest nightly FITS stacks. AI runs calibration, source detection, catalog cross-matching, and transient alerting. Evidence packages ready for go/no-go boards.
  • FITS / HDF5 / VOTable Accepted formats
  • Focus: Automated Pipeline
  • Workflow: Ingest

Compounding evidence

Confirmations and rejections become regression coverage and reviewable exports. Evidence packages are structured for go/no-go boards and publication review.

Astronomy capsule

Your telescope generates data every night. AI processes it by morning. You get real discoveries, not noise.

  • Ingest nightly FITS stacks. AI runs calibration, source detection, catalog cross-matching, and transient alerting. Evidence packages ready for go/no-go boards.
  • FITS / HDF5 / VOTable Accepted formats
  • Focus: Automated Pipeline
  • Workflow: Ingest

Proof hooks

Evidence that stays attached

This is what the system is designed to record for Astronomy workflows. Metrics and outcomes depend on your deployment and must be validated in staging and production.

Go/no-go evidence
Detection confidence, reviewer decisions, and classification evidence for boards.
Regression replay
Past detections become tests you can replay before every run.
Catalog provenance
Cross-match results and classification history with full lineage.
Want the security and evidence model? Start in the Trust Center.
Visit Trust Center

Start your Astronomy Lab.

One session. First lab running.