Styxis does not accept claims from AI or automated operational systems at face value. It draws a clear boundary between claims and verifiable evidence.
Like an oath on the River Styx, accepted observations should remain traceable records, not blur through convenience or accidental change.
When data changes and machine signals become proof, AI and automated decisions can be explained, reviewed, and trusted.
Truthound Depot leaves reviewable, verifiable evidence for data changes.
01 · Data workspace for teamsSniff before you merge.
Bring a file or connect a data source. See what changed, validate it, and decide together.
"Sniff before you merge."
Upload a file or connect a data source, then see the change before it reaches production.
Validation, review, publishing, and restore stay in one place.
Upload CSV, JSON, JSONL, or Parquet as an encrypted Data Version you can revisit and compare.
Test a database or object storage connection, then select the schema, table, or object scope to validate.
Validation, comparison, review, Evidence, publishing, and restore stay connected.
Move from Local Import or Cloud Source to Data Version, Validation, Review Request, and Published Version in one flow.
Upload a file as an encrypted Data Version, or connect the DB and object storage scope you need.
Keep a change separate until it is ready for production.
Compare schema, value distribution, and Validation results with the previous Data Version.
Put the change explanation and Validation result in one place for the right people to review.
Preserve passes, failures, decisions, and the HTML Report so they remain understandable later.
Publish a reviewed Published Version, or Restore a version that already passed review.
From shared working agreements to data changes, Styxis makes important work traceable, reviewable, and verifiable.
Software Sworn to Truth
