Is EdgeTal available on iOS or macOS, or only Android?

EdgeTal's Android app has full on-device Gemma LLM inference with MediaPipe hardware acceleration. iOS and macOS builds exist with full semantic search, with accelerated on-device LLM reasoning on the roadmap for those platforms.

How fast is EdgeTal's candidate search?

Semantic search results typically return in under 150ms, entirely computed on-device.

What happens to candidate data if I uninstall the app?

Since all indexing and search data lives only on the device it was created on, removing the app removes the local index with it, no copy exists anywhere else.

Private Talent Intelligence

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Last updated July 7, 2026

EdgeTal

Private, on-device AI recruitment assistant. For Android.

EdgeTal is an on-device AI recruitment assistant for Android, built for recruiters who cannot send candidate data to the cloud. CV parsing, semantic candidate search, and shortlisting all run entirely on the recruiter's phone using a compact local language model and an on-device vector store. No candidate data ever leaves the device.

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Why It Exists

Most hiring tools send candidate data to the cloud. EdgeTal doesn't. It 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.

Who it's for

EU recruiters and staffing professionals working under GDPR and strict data-residency constraints, where uploading candidate CVs to a cloud AI service is a compliance non-starter, including agencies handling sensitive talent pools and teams hiring for defense or public-sector roles.

Key Features

What EdgeTal delivers

Fully offline candidate analysis, works with no network connection

Agentic retrieval that plans, decides, and acts across your candidate pool

Semantic search over CVs and notes, not just keyword matching

AI fit analysis that reasons through each candidate's strengths and gaps for a clear shortlist recommendation

Zero cloud dependency, no third-party AI processor to disclose, audit, or contract with

How It Works

From question to answer, on your hardware

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 and matches your pool by meaning.

Analyze

Open a candidate profile, paste the job description, and let the on-device model compile a structured strengths/gaps analysis and shortlist recommendation.

Use Cases

Who needs this, and why

Recruitment agencies with sensitive talent pools

Agencies representing candidates across multiple clients can search and screen locally, without ever uploading a client's talent pool to a shared cloud AI service.

Defense, public sector, and air-gapped hiring

Because indexing, search, and AI reasoning all run on-device, EdgeTal works completely offline, on a plane, in a secure facility, or anywhere network access is restricted or forbidden.

GDPR-bound in-house recruiting teams

In-house recruiters avoid cross-border data transfer assessments and third-party data processing agreements entirely, since no candidate data ever leaves the device it was imported on.