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Reference

Measure company matching and technology detection separately.

Test company matching, technology detection, and evidence interpretation separately. A returned row can fail at any of those layers.

Example evaluation record

One example record

Original website
example.com
Company match
Confirmed
Technology result
Supported by two evidence types
Review outcome
Accepted

Start with known answers

Use companies your team can verify

A useful test set includes more than easy positive examples.

  1. 1Known technology users
  2. 2

    Known non-users where the required public checks can complete

  3. 3

    Ambiguous brands, subsidiaries, redirects, and multi-domain companies

  4. 4

    Blocked, incomplete, and intentionally difficult websites

Separate the errors

Do not hide different failures inside one accuracy number

Each error class points to a different product issue and a different consequence for your team.

  1. 1Wrong company or website match
  2. 2Missed public evidence
  3. 3Incorrect detector interpretation
  4. 4

    Incorrect handling of incomplete or contradictory evidence

Evaluation outcome

Inspect false positives, false negatives, and unresolved cases

A practical evaluation should show which findings hold up, which fail, and where human review remains necessary.

  1. 1

    Record why each disputed result was accepted, rejected, or left unresolved.

  2. 2

    Compare errors by field and evidence type rather than only by record.

  3. 3

    Set use-specific thresholds before automating a decision.

Privacy choices

Optional website tracking

These choices control optional browser tracking on Kaiju's public website. They do not change information you intentionally submit through a contact, evaluation, or meeting form.

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