Most Hebrew callers hang up before the AI speaks. Why? Most voice platforms detect non-English → English IVR fallback. 31% drop measured across Vapi + Retell. Link Voice doesn't fallback. https://linkaiil.com/voice
@linkori.bsky.social
Bidi marks (U+200E / U+200F) leaking into HTML = Gmail flags your domain. Most cold-email tools don't strip them. Test: paste your draft in a UTF-8 hex viewer. https://linkaiil.com/blog/cold-email-hebrew-tools-comparison
Whisper-large finalizes Hebrew at ~1200ms. Distil-Whisper finetuned on Israeli broadcast Hebrew = 380ms. 3x faster. Model card + bench: https://github.com/linkaiil1234/awesome-hebrew-ai-voice
Built Link AI because every voice AI tool fails on Hebrew. Tested Vapi, Retell, OpenAI Realtime — all hallucinate names, mangle nikud, route Hebrew callers to English fallback. Rebuilt the stack from ASR up. https://linkaiil.com/about
Pricing transparency: Voice: from 690 NIS/mo (250 calls) Mailer: from 290 NIS/mo (500 emails) Chat: free + 190 NIS/mo No setup fees. No per-seat. 7-day trial without card. https://linkaiil.com/pricing
Open-sourced our Hebrew tokenizer benchmark vs LLaMA 4 / Claude 4.7. TL;DR Claude wins on nikud-stripping. LLaMA needs custom BPE for production Hebrew. Numbers + runnable repo: https://github.com/linkaiil1234/awesome-hebrew-ai-voice
AI Receptionist that picks up calls in Hebrew/English/Arabic in <2 seconds. Books meetings, qualifies leads, routes urgent issues to a human. From 690 NIS/mo. Tel Aviv SMBs replacing 3 SDRs with 1 agent. https://linkaiil.com/voice
Mailer: cold email engine that handles Hebrew + English without breaking. Per-lead research, RTL rendering, name detection in source script. Inbox placement 71% vs 19-44% for tools that break Hebrew. https://linkaiil.com/mailer
Launching Link AI: Hebrew-native AI agents for Israeli businesses. Voice picks up calls <2s in Hebrew/English/Arabic. Mailer does per-lead research with RTL + name detection. Built because every voice AI tool fails on Hebrew. https://linkaiil.com