Application quality, beyond the numbers.
Less noise.
Find the signal.
Privacy-focused resume intelligence. Check for spam and see how each application fits the actual job, with evidence in seconds. Get a clearer view of application quality to inform hiring reviews, reporting, and where you spend your recruitment budget.
Detected personal identifiers removed before analysis. Uploaded resumes never saved.
More applications don’t always mean better candidates.
AI-assisted applications and mass applying make it easier to generate volume. When you pay per application, spam and irrelevant applications still carry a cost. Waiting for manual quality reviews can mean spending more before you know what’s working.
Signal shortens that feedback loop. It checks each resume against the actual job, separating spam, irrelevant experience, and potential fit. AI-writing signals stay separate from suitability.
Try it for yourself
Start with an example, or bring your own.
WAYNE ENTERPRISESFictional example
Chief Executive Officer
Lead a diversified technology and industrial business. Set company strategy, allocate capital, build an executive team, and report to the board. Balance commercial growth with responsible governance and community impact. This role is based in Gotham City; availability to work onsite is required.
Edit job details 3 criteria
A little context. A clearer picture.
Choose a job and a resume, then run an analysis. Your assessment will appear here.
- Job fit, with supporting evidence
- Spam, authenticity & AI-writing signals
- Answers to your screening questions
Built to inform your judgment.
See quality alongside quantity
Bring role relevance, required-criteria evidence, and review flags into your reporting. Application counts tell you how many; Signal helps you understand what came through.
Give reviewers a clearer starting point
See job alignment, screening answers, and the excerpts behind them in seconds. Focus human review where it matters, with hiring decisions staying in your team’s hands.
Make relevance part of the return
Use application-quality insights alongside your source and campaign data to inform recruitment spend. Look beyond cost per application to whether that spend brings relevant applicants.
Your resume stays yours.
Our proprietary privacy layer removes detected personal identifiers before analysis. We don’t save your uploaded resume.
A closer look at privacy ↗
Files are read in your browser. A rule-based privacy layer removes detected identifiers before reduced text is sent for analysis by an external AI service. The server applies the same checks again. Redaction can miss identifying information, including details within career histories; it is not a guarantee of anonymity.
Custom inputs and results stay in current browser and request memory. We do not save them to a database, browser storage, analytics, or application logs. Resetting the session or closing the page clears the app’s active session. Only results for our unchanged fictional examples are saved on the server for reuse. External service retention is governed by its applicable terms; we do not promise end-to-end zero retention.
This local research preview supports human review and makes no compliance or verified-authenticity claim. Avoid submitting information you are not authorized to process.