EdgeTal
Private talent intelligence. On-device. GDPR by design.
Find the right person, not just the right keyword. EdgeTal brings semantic candidate search and AI-assisted screening to recruiters and hiring teams — and runs it all on the device in your hand, so résumé data never touches a server.
Click one of the search query shortcuts above to simulate localized semantic resume matching.
The Privacy Mandate
Most hiring tools send candidate data to the cloud. EdgeTal doesn't.
EdgeTal indexes resumes locally, understands what you're actually looking for, and ranks candidates by genuine fit — all offline, after a one-time setup. The result is a faster, calmer screening experience that keeps you on the right side of GDPR by default.
Features
Why teams choose EdgeTal
Search the way you think
Type "a backend engineer who knows Kafka and has led a small team" and get ranked matches. No Boolean gymnastics, no rigid filter limitations.
Understands meaning
On-device semantic search reads skills, experience, and summaries the way an experienced recruiter would, showing you exactly *why* each candidate surfaced.
AI fit analysis in seconds
Paste a role and EdgeTal reasons through each candidate's strengths and gaps, then provides a clear, locally compiled shortlisting recommendation.
Private by architecture
Indexing, search, and AI reasoning all happen locally on your system. Nothing is uploaded, cached, or cataloged elsewhere.
GDPR by design
Because candidate data never leaves the device, you completely sidestep cross-border data transfer regulations and third-party data processing agreements.
Works offline
Download the model once, then screen talent anywhere — on a plane, in a secure air-gapped facility, or completely off the grid.
Workflow
How it works
Import
Bring in resumes from a CSV, URL, or local files. EdgeTal parses, tokenizes, and indexes them locally on your device in seconds.
Search
Describe your ideal candidate in plain language. EdgeTal converts the input to a vector representation, matching your pool by meaning and highlighting key evidence.
Analyze
Open a candidate profile, paste the job description, and let the on-device model compile a structured strengths/gaps analysis and shortlist recommendation.
Target Segment
Built for modern, privacy-conscious hiring
EdgeTal is designed specifically for in-house recruiters, talent partners, and hiring managers across Europe who refuse to compromise on security. It is the premier choice for recruiting agencies handling sensitive talent pools, employers operating under strict data residency mandates, and organizations that prefer to keep their proprietary data fully in-house.
Get EdgeTal Today
EdgeTal is a native, cross-platform app available on iOS, macOS, and Android. Experience private recruitment workflows on the devices you already carry.
Android Application
Native MediaPipe Text Embedder + Gemma LLM with hardware acceleration.
Download for AndroidiOS Application
Full-featured semantic search. On-device LLM reasoning roadmap preview.
Download for iOSmacOS Desktop
Desktop-class indexing database. Gemma neural engine acceleration preview.
Download for macOSScreen smarter. Keep it private.
Bring semantic candidate search and AI-assisted screening in-house — without sending a single resume byte to the cloud.