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

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62% of small-business calls go unanswered, and most callers never try again. Skaala answers within three rings, books appointments, takes payments, updates your CRM, and sends you a clear summary — 24/7.

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 | skaala.ai |
| Pricing | — | |
| Company | — | Startup from Sweden · 1 - 9 employees · 2024 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of mlsql yet.
Skaala is an AI receptionist for small and mid-sized businesses. It picks up every inbound call 24/7, holds a natural conversation in 70+ languages with native-quality voice, and turns each call into a booked appointment, a paid order, a CRM update, or a clear handoff to the right person. What...
What each product offers, as listed by its team.


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Skaala x Rehabkliniken - AI Phone Agent Answering Calls with the voice of the retired receptionist
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing mlsql and Skaala.ai.
Skaala.ai's answer:
Most AI receptionists do one thing: answer calls or book appointments or take payments. Skaala does all three on a single call, in 70+ languages, and you set it up by forwarding your existing number — no porting, no menu trees, no prompt engineering.
Skaala.ai's answer:
Skaala.ai's answer:
Owner-operators and small teams (1–50 employees) where every missed call is lost revenue.
Common verticals: - Salons, barbershops, beauty - Dental, medical, and veterinary clinics - Trades: plumbing, electrical, HVAC, locksmith - Restaurants taking reservations - Real estate agents - Lawyers, accountants, financial advisors - Cleaning and home services
Common thread: the phone is still their primary booking channel, they don't have (or can't afford) a dedicated receptionist, and they often serve customers in more than one language.
Skaala.ai's answer:
Skaala was founded in 2024 by August Lönn and Andreas Alnatour, operating as Aicall AB out of Stockholm. We started after watching small business owners lose revenue every day because they couldn't answer their phones — they were cutting hair, fixing pipes, or seeing patients. The existing options weren't good enough: phone answering services were expensive and couldn't book or charge customers, IVR menus drove people away, and voice-AI developer platforms required engineering work most small businesses don't have.
Voice AI had finally reached the point where a model could handle a real end-to-end booking conversation, in any language, on the first ring. So we built the receptionist that fits how small businesses actually run: forward your number, connect a calendar, go live.
Backed by Microsoft for Startups and ElevenLabs Grants.
Skaala.ai's answer:
Share your experience with using mlsql and Skaala.ai. For example, how are they different and which one is better?
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 Skaala.ai since May 2026.
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