Bring in the work
Separate real signal from noise before scarce follow-up time gets spent.
→Bring observation data, calibration context, and mission rules into one review loop. The app sorts promising detections from noise and keeps the final decision tied to the observation trail.
Start with the files and records the team already uses.
Keep the right specialist or approver on the work that needs judgment.
Hand off one reviewed record instead of scattered notes.
Bring the real work. Route the borderline case to the specialist who signs for it. Leave with a packet that survives an audit — and the tuned weights you keep.
Separate real signal from noise before scarce follow-up time gets spent.
→Upload the observation batch, inspect flagged cases, and export one detection packet.
→Get one detection packet with the decision, evidence, and status attached.
Use this when follow-up time is scarce and teams need to explain why one observation was pursued and another was dismissed.
Use this when follow-up time is scarce and teams need to explain why one observation was pursued and another was dismissed.
Observation batch in. Scientist review on uncertain detections. Replayable record out.
Observation lineage, calibration context, reviewer notes, and detection status stay together.
Bring observation data, calibration context, and mission rules into one review loop. The app sorts promising detections from noise and keeps the final decision tied to the observation trail.
Observation batch in. Scientist review on uncertain detections. Replayable record out.
Start with the real observation batch and the rules that matter.
Send the hard calls to the research scientist.
Hand off a detection packet the next team can trust.
Observation lineage, calibration context, reviewer notes, and detection status stay together.
Load the work, context, and rules into one record.
Score the work and send the decisions that need judgment to the research scientist.
Package the approved result for the next team, approval gate, or audit request.
Scientist decisions, confirmed detections, and dismissed noise improve the model on your own observing programs.
AuraOne helps shape the first decision flow. Your science team keeps the final say on what counts as signal.
Specialist reviewers, the evidence they keep, and the result the next team consumes.
Every signed decision feeds the rest of the platform. The Regression Bank turns each failed case into a check on the next release, so the missed call does not come back. Compliance review keeps the governance record and the exception trail an examiner asks for. One record, one standard, one packet.
Every failed case becomes a check on the next release. The escaped defect, the missed variant, the bad call does not come back.
Files, batches, and cases your team already runs. Not a demo.
In your VPC. Your keys. Your retention policy.
Reviewed observation data, detection logic, and tuned weights your science team can keep.
Signed proof
Lineage, reviewer notes, and approval status in one signed record the next team can read — and an auditor accepts.
We'll map the workflow. Pick the starting model. Standardize the step. Hand you the result.
AstroCLIP
Reviewed observation data, detection logic, and tuned weights your science team can keep.