Swift, Simple, Powerful & Patent-Pending Digital ID Verification
Instantly uncover fabricated personas and fake resumes, using only the candidate's email and phone number.
Mitigate risk by verifying your candidate's digital ID
Email addresses and phone numbers are the digital IDs we use to communicate and access online services. Genuine candidates have years of consistent email, text message, phone call, and login activity—but candidates who submit false resumes often use throwaway emails and phones without such volume history. TurboCheck empowers you to swiftly detect anomalies.
Discover candidates' hidden digital footprint
Use publicly available data to cross-check information
Save costs by flagging risky candidates
Why Incode
Why leading enterprises choose Incode
https://www.incode.com/ is built differently. Using our data advantage, superior AI, and speed, we provide adaptability to stay ahead of every threat.
A data advantage
With 4.1B+ identity checks annually and 400M identity profiles worldwide, Incode has a massive data set to train models to fight fraud.
Superior AI
Our proprietary, frontier AI models deliver consistent performance at the top of industry benchmarks and the adaptability to stay ahead of fraud.
Enterprise focus
We provide end-to-end identity solutions with a modular core platform, easily orchestrated and integrated tools, deep partnerships, and 99.99% reliability.
High trust decisions
We help you secure trust in the AI era. The ultimate outcome we deliver is the protection of every surface area against AI-driven fraud threats.
Every genuine candidate possesses an email and phone digital footprint.
Uncover your candidates' true identity
TurboCheck has the most powerful engine to uncover your candidates' true identity. By analyzing email and phone histories, login patterns, and associated profiles, TurboCheck detects anomalies and inconsistencies that signal potential risks.
We check for suspicious behaviors
Email creation timestamp
Email, text message, phone call, and login activities
Real name linked to an email address
Stated geo-location versus login patterns
AI-generated or stolen profile photos
Phone numbers recently switched carriers
Inconsistencies across job boards and professional networks