Background Checks
A structured process to validate the information provided by a candidate actually aligns with available records and to determine their employment and/or clearance eligibility. Correctly performed they prevent undue risks, but why is the general consensus that it feels like a checkbox with limited to no value?
With Prae, you can quickly lookup a candidate and see both their exposure and risks. No need to request personal information as the process is opaque to the candidate. With Prae, you can either pre-screen a candidate before a traditional background check or enrich a traditional background with our proprietary risk models and continuously monitor during their probationary window.
Background Check Concerns
A 2025 Benchmark Report cited non-compliance with regulations, costs of bad hire, financial loss thru criminal activities, brand reputation, and workplace safety & security as the top concerns amongst organizations across North America (U.S. & Canada), EMEA (Europe, Middle East, & Africa), and APAC (Asia-Pacific).
Common Challenges
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More than three-quarters of businesses have found candidate discrepancies during the screening process in the last 12 months. Identity mix-up, incomplete and/or outdated records, and jurisdictional limitations impact the accuracy and precision of screening candidates.
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An organization’s ability to sift through and filter the volume of information, noise, and false positives varies wildly. Background check companies neither summarize nor highlight red flags.
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The turnaround time for a singular check is highly dependent upon the type of checks performed. Factors such as missing information, extensive work/living history, unresponsive references, and manual court searches further delay the turnaround. There is NO continuous monitoring.
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Awkward candidate interaction and experience when organizations that are not required to, proactively pursue a background check. Upon request, candidates must disclose information to perform the background check.
Our Differentiated Approach
Data Engineering
Our ability to ETL any data source or data record into our custom data schema and ontology models means better entity resolution, faster searches, and greater downstream analytics.
Entity Resolution
We deliver both high accuracy and confidence in resolving an identity. No more identity mix ups and false positives means better training data and risk models.
ML Risk Models
Current solutions only cover a single domain, but isn’t risk more complex and nuanced? We deliver data driven modeling of risk across physical, cybersecurity, and psychological domains.