On-device candidate screening. No cross-border transfer to assess, because nothing crosses a border.
EdgeTal is an on-device AI recruitment assistant for Android, built for recruiters whose compliance posture rules out sending candidate data to any cloud service — EU or otherwise. CV parsing, semantic candidate search, and AI fit analysis all run on the recruiter's own phone, using a compact local language model. No candidate data leaves the device, which means no cross-border transfer question to even ask.
Most GDPR reviews of an AI hiring tool start with the same question: where does the data go once it leaves the recruiter's device? EdgeTal removes the question rather than answering it well — indexing, semantic search, and AI reasoning all happen locally, so there's no third-party processor to disclose, no data processing agreement to negotiate, and no cross-border transfer assessment to run, because the CV never leaves the phone it was imported on.
EU recruiters and staffing professionals whose data-residency or confidentiality requirements make any cloud AI processing of candidate data a non-starter, including agencies with client confidentiality obligations and teams hiring for defense, public-sector, or otherwise restricted roles.
Founder & CEO
Author of the EICON 2026 paper on agentic systems; leads Knovik's edge AI and automation practice, including EdgeTal.
Partner, Mobile Engineering
10+ years in mobile engineering and an Apache Software Foundation committer; leads Flutter and AI-integrated mobile builds at Knovik.
No. Since indexing, search, and reasoning all run on the recruiter's own device, there is no third-party AI processor in the loop to sign an agreement with in the first place.
The Android app has full on-device AI inference. iOS and macOS builds currently support semantic search, with accelerated on-device reasoning on the roadmap for those platforms.