
FriendlyData
Infer SQL queries from plain-text questions and table headers.

Zoom
Google Meet
Microsoft Teams
KUDO
Langfinity
Talo
Break language barriers with AI-powered real-time translation. Hitoo translates voice in under 300ms while preserving your natural voice identity and cultural context.

Which is more popular?
Based on our record, mlsql seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | github.com | hitoo.io |
| Pricing | — | |
| Company | — | Startup from Italy · 1 - 9 employees · 2026 |
| Listed in |
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As answered by people managing mlsql and Hitoo.
Hitoo's answer:
Hitoo is the only full-stack speech-to-speech platform that translates in real-time (<300ms) while preserving the speaker's voice, tone, and emotional intent. Unlike existing solutions that produce mechanical output, Hitoo keeps who you are across languages — same voice, same presence, different words.
Hitoo's answer:
Competitors either translate without preserving voice identity (Zoom AI, Teams), or provide voice components without a full solution (ElevenLabs, Deepgram). Hitoo is API/SDK-first, drops into existing enterprise infrastructure, and is the only platform that combines voice identity preservation, sub-300ms latency, and enterprise compliance (SOC2/HIPAA roadmap) in a single stack.
Hitoo's answer:
Enterprise B2B: contact centers, healthcare providers, hospitality operators, and global teams that require real-time multilingual communication at scale — where translation quality, voice fidelity, and compliance are non-negotiable.
Hitoo's answer:
Built by Matteo Pelosi, a software engineer with 8+ years of experience in distributed systems and real-time architecture. The premise: every real-time translation tool sounds robotic. Language carries identity — accent, tone, emotion — and losing that in a business conversation means losing trust. Hitoo was built to fix that at the infrastructure level.
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Recommendations tracked on public social media and blogs since March 2021.


I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being... Source: over 4 years ago
I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago
Tracking Hitoo since Mar 2026.
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