Voice AI ordering system for restaurants that answers calls and takes orders
By Tanmay Verma, Founder · Last verified 13 Jun 2026
In short
Kea — Voice AI ordering system for restaurants that answers calls and takes orders. Best for Restaurants overwhelmed by phone orders during rush hours, Pizza shops, fast-casual, and QSR chains needing 24/7 call answering, Multi-location restaurant groups requiring centralized AI management. Plans from $450/mo.
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For restaurants drowning in phone orders, Kea is the most restaurant-specific voice AI on the market. The flat $450/month pricing with unlimited calls is a standout versus per-order competitors. The only catch is it's built exclusively for restaurants, so non-food businesses need not apply.
Last verified: June 2026
Kea is a purpose-built voice AI for restaurants, and it shows. The flat $450/month pricing for unlimited calls is refreshingly simple compared to per-order pricing models from competitors like Slang.ai or Replicant. The 99.3% order accuracy and direct POS integrations (Toast, Square, Clover, Olo) are strong selling points, but the real magic is the AI Judge and Food Critic features that catch menu errors and handle substitutions. Setup is fast – under 15 minutes – and the mobile portal lets you update the AI on the fly. However, this tool is only for restaurants; if you run a hotel, clinic, or retail store, look elsewhere. Also, while the text add-on is promising, it's less mature than the voice side. For multi-location chains, Kea handles 50+ locations with bulk edits, making it scalable. One caveat: pricing for large enterprises requires a custom quote. Overall, if you run a restaurant and miss calls costing you revenue, Kea is a no-brainer. Just be ready to trust the AI with your menu – something many owners may be hesitant to do initially.
Skip Kea if Skip Kea AI if you run a non-restaurant business or your POS isn't among the 11+ supported integrations (Toast, Square, Clover, Olo, etc.).
Across the latest 4 updates: 1 community discussion and 3 news mentions.
Comparison article positions Kea AI as a Loman alternative for restaurant phone answering.
Guide covers AI answering services for restaurants, including cost and ROI.
Explains AI answering service for restaurants, compares providers, and discusses capturing missed-call revenue.
Project Gutenberg update discussed on Hacker News.
How likely is Kea to still be operational in 12 months? Based on 6 signals including wrapper dependency, GitHub traction, pricing model, and category risk.
Kea AI is a voice AI ordering system designed specifically for restaurants. It connects directly to your POS to answer customer calls, take orders with modifiers, and send tickets straight to the kitchen KDS. Trusted by leading restaurants, Kea handles unlimited concurrent calls, reduces missed order revenue, and offers 99.3% order accuracy. Features include an AI Menu Analyzer that prevents hallucinations, 24/7 call answering with throttling, dynamic FAQs, call reporting, delivery and payment processing (Apple & Google Pay), and direct integrations with 11+ POS systems like Toast, Square, Clover, and Olo. Setup takes under 15 minutes and updates go live instantly. Kea also bridges voice and text, allowing guests to order, ask questions, or pay via text. Unlike generic voice assistants, Kea is built by restaurateurs for restaurateurs, offering a dedicated restaurant-focused solution with a flat monthly price of $450 for unlimited calls and no per-order costs.
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Concrete scenarios for the personas Kea actually fits — and what changes day-one when you adopt it.
During dinner rush, the owner forwards the restaurant's phone line to Kea AI. The AI answers calls 5 at a time, takes orders with toppings and modifications, and sends tickets directly to the kitchen via Toast POS.
Outcome: Employees focus on making pizzas instead of answering phones; missed call revenue drops to zero; the owner saves $677/month on average.
Manager uses Kea's bulk edit portal to update holiday hours and promotional FAQs across all locations in 2 clicks. Each location's AI uses its own menu and hours.
Outcome: Uniform guest experience across all locations; manager saves hours of manual updates; revenue trends are visible per location in the reporting dashboard.
After hours, Kea AI answers calls, takes delivery orders, processes payments via Apple Pay, and schedules them for next-day pickup.
Outcome: The owner captures orders while sleeping; no need to pay staff for late-night shifts; morning prep is ready with printed order tickets.
Kea AI is designed exclusively for restaurants and does not support generic customer service. Integration requires a supported POS (Toast, Square, Clover, Olo, or one of 11+ others); unsupported POS systems may need a workaround. The AI requires a dedicated Kea phone number, which may not be ideal for existing lines. There is no free tier, and the $450/month flat fee might be steep for very small restaurants.
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
The company stage and team size where Kea's pricing actually pencils out — and where peers do it cheaper.
At $450/month flat with unlimited calls, Kea AI is cheaper than hiring a part-time phone order taker. It recaptures an average $677/month in missed order revenue, making it cash-positive for most busy restaurants. Competitors like Maple AI charge per order, which can balloon during peak hours.
How long it actually takes to get something useful out of Kea — broken out by persona, not the marketing-page minute.
Setup takes under 30 minutes for most restaurants: create an account, connect your POS menu (15 minutes), forward your phone line to the dedicated Kea number (5 minutes), and customize greetings via the mobile portal (10 minutes). Kea provides a 30-day onboarding roadmap in their resources.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
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Last calculated: June 2026
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