Run a defined check locally.
Choose among three separately bounded workflow gates. Runtime: Python 3.11+ · no account required to run · no runtime network requests.
Boundary: mechanical checks—not causality, model validity, compliance, or fitness.
Independent software studio · Local by default
Check the inputs before you trust the output.
KaldenFrame Labs builds focused software for catching silent data and workflow failures before they become expensive. Choose a local tool, a fixed-scope repository review, or one of three complete free utilities.
What we offer
Software, a review, and free utilities.
Every listing states its price, input, output, delivery, and limit before you contact us.
Have one release workflow reviewed.
Receive a decision map, boundary-gap analysis, and prioritized roadmap for one named workflow in one public GitHub repository.
Boundary: architecture review—not implementation, security testing, compliance, or release assurance.
Use the source, tests, and contracts.
Inspect or adopt Evidence Preflight, Artifact Admission, or Attempt Boundary with source, tests, contracts, and current releases included.
Boundary: narrow contract checks—not truth, security, provenance attestation, safety, or fitness.
Public records
Inspect the evidence behind each claim.
The public claim ledger connects each important statement to a record and names what that record does not prove.
The Evidence Library clearly separates complete MIT utilities, synthetic paid-product evaluation, a fictional review sample, and first-party operating records.
Can't find the category?
Describe what needs checking.
Search by the failure you are trying to prevent, then narrow the catalog by price, delivery type, or audience. If there is no credible match, the catalog says so.