Restaurant Voice AI Comparison 2026: Kea AI vs. Maple, Revmo & Loman

Max Tilka | Senior Product Manager - Brand Experience

Building consumer products with Voice AI

All AI orders were self-placed and paid for during this experience. No shortcuts.

For a true head-to-head, we visited our competitors' self-branded top restaurants to test their Voice AI against ours. Real orders, paid, and picked up by a real human. A full, genuine comparison.

The Voice AI space for restaurants is getting crowded. New players are popping up every few months, each with bold claims about call handling, order accuracy, and revenue recovery. But the reality is that most restaurants don’t have time to test three or four providers head-to-head. So we did your homework for you.

At Kea AI, we wanted to do what’s rare: show our true results, no demos, no scripts. Here’s a real-world comparison so you can judge actual customer experiences.

Here’s what we found ⬇️

Watch the Head-to-Head Voice AI Comparison

We’ve mapped Kea’s call flow side by side with the top competitors. Each competitor’s call experience is notated after the video, along with additional vendor pros and cons. Paired with a video for you to hear each experience. We evaluated each provider across the full call lifecycle, from the first ring to order pickup.

Watch the head-to-head or read the call recap of each Voice AI provider below ➡️

Kea AI (www.kea.ai)

Founded: 2018 | In the industry: 8 years | Pricing: $450/month, unlimited calls, orders, and Text AI

Kea is the most tenured pure-play Voice AI platform in the restaurant space. Eight years of menu data across hundreds of thousands of menus, direct POS integrations, and a feature set built through years of live restaurant feedback. The $450/month plan includes everything: Voice AI, Text AI, Kea Pay, Delivery, 86 detection, upsell engine, AI Manager, call reporting, spam handling, and white-labeled SMS confirmations. Multi-unit brands can email sales@kea.ai for volume-based pricing. No hidden fees, no overages, ever.

How the call went: The call experience was impressive. Under a minute and 40 seconds to place a full order as a new customer, which is hard to beat. Fast, natural conversational flow with strong menu knowledge, moving through items quickly and confidently. The AI included an upsell that can be customized at both the category and item levels with custom language. There were a few extra confirmations mid-call that felt slightly redundant, plus some brief pauses as items were confirmed, but these serve as safeguards to ensure order accuracy. The white-labeled SMS confirmation was a standout: branded to the restaurant, showing make time, a full order overview, a clickable map for directions, and a feedback link. Even better, it prompts the customer to reorder via text next time. A unique capability to Kea. Customer feedback flows directly into the Kea dashboard with real sentiment, no fake scores. Overall, very polished and feature-rich call experiences in the market, especially on a complex menu for pizza. Accurate on pickup!

Pros - Kea AI

• Fast, natural conversational experience, one of the better-sounding AI calls in the market.
• Eight years of menu intelligence that handles 7-9 modifier layers deep.
• Unlimited concurrent calls.
• Live menu detection and menu rules for accurate ordering on complex items.
• Ability to handle a menu with hundreds of items and thousands of modifiers.
• Customer context and personalization within greetings. (Remember the customer by name).
  Reordering.
• Custom upsell rules with custom AI language per item, with A/B upsell metrics.
• White-labeled SMS order confirmations branded to the restaurant.
• Customer Feedback collection.
• Correct dining option mapping for front-of-house/back-of-house staff.
• Direct-to-POS AI submission, no human in the loop.
• AI Manager dashboard surfacing unknown FAQs, bad menu items, and call insights.
• Real-time 86 detection that checks item availability before and after order confirmation.
• 60+ voices, custom voice generation, scheduled greetings down to the minute.
• Most comprehensive call reporting dashboard: showcasing total revenue, total calls/order, forwarded calls, incomplete orders, routing details, and customer feedback.
• Easy bulk editing for multiple locations. Supports enterprise and franchisee scaling.
• Text AI: Exclusive to Kea AI. Sends SMS from a local number, not a toll-free number.

Cons - Kea AI

• Slightly higher price than some of its competitors, but full features with no overages.
• Can go-live in as little as 24-48 hours. However, due to the depth of features, Kea recommends typically 1 week of testing after 10 minutes of connecting your point-of-sale.
• Missing POS integrations like Spot On and other small POS partners.
• Some extra confirmations in the call flow to confirm order details with the customer.
• Some quick pauses as the AI confirms items.
• No reservations-based AI booking. Only SMS for reservations and waitlist.

“I didn’t even realize AI was at that level yet… We only have so many, you know, pie makers and slice masters back there that can do that on a busy rush… For me, it's like I had a problem to solve. Adam [CEO of Kea AI], what do you think about this? And he literally made it happen, like, immediately.” - Freddy Nguyen, Owner of Strad Pizza, Kea AI Customer | High-volume pizza shop in Scottsdale, AZ

Maple AI (www.maple.inc)

Founded: 2023 | In the industry: ~2 years | Pricing: $240/month, unlimited calls and orders

Maple, a newcomer since 2023, offers add-on packages totaling $240/month for Voice AI. Making it attractive for single-store operators who prioritize cost over advanced features. Maple’s lower price means a narrower feature set, basic upselling, and less menu intelligence from industry experience. Some point-of-sale limitations. Make sure to confirm they integrate with your POS with a pilot before signing contracts.

How the call went: Reliability varied significantly across the test. Struggled to even make a half-and-half pie the first time. Past this, when trying the conversation again, the call was genuinely really good with fast item referencing. Fast call pickup, smooth conversational flow, and the AI knew the menu details well. It recapped pricing after each item, which is a minor but noticeable difference. The order went through cleanly. Lack of an upsell. Showcases a self-branded Maple AI order confirmation, which a general user could be confused by. Overall, great call flow on a simple menu items.

Pros - Maple AI

• Very quick and natural conversational experience.
• Maple Branded SMS confirmations post order submission.
• Competitive $240/month unlimited pricing for single locations.
• Growing POS integration list (Shift4/SkyTab).
• Can handle reservations with OpenTable.
• Hold music for transferred calls and conferencing to make sure staff pick up before transferring.

Cons - Maple AI

• In some scenarios, Maple AI cannot handle complex menu items like half-and-half, but handles simple items well.
• Newer to the industry, with less menu intelligence built up compared to providers with years of data. Speed only comes with simple menus.
• No custom upsell rules. Missed revenue opportunity.
• SMS confirmation page is branded to Maple, not the restaurant.
• Incorrectly mapped dining option on order submission can hurt order sales reporting for the restaurant.
• Basic feature set does not handle deeply nested modifier menus well beyond 2 items.
• Missing key call reporting metrics on incomplete orders and forwarded calls.
• Voices can sound a bit off and not human-like. Missing variety in voices and has similar ones to other Voice AI providers like Loman.

Revmo (www.revmo.ai)

Founded: ~2023 | In the industry: ~2 years | Pricing: $0.59 per conversation (per call)

Revmo is a Phoenix-based conversational AI company that serves restaurants, automotive, and home services. They were selected as Donato's Pizza’s preferred voice ordering partner in 2025. Their pricing is per-conversation, which can work for low-volume locations but creates risk as volume scales for high-performing locations.

How the call went: First try, couldn't get the AI on the phone and had to retry multiple times. In our first call, the store staff told us up front that they’d been experiencing technical issues with the AI system. When we called back, the AI answered after about 3 rings. It knew the menu items reasonably well and could handle marketing terms like “supreme” and reference the actual toppings. However, the call had noticeable static and audio glitches throughout. There were some odd double confirmations (“sure, one sec, oh let me go get that”). No SMS confirmation was sent after the order. Staff did not know how to request payment due to the missing payment status on the Revmo ticket structure. This leads to payment gaps and hurts restaurant revenue. The order was correct when received.

Pros - Revmo

• Menu knowledge was solid, understood marketing terms, and could reference actual items.
• Donatos Pizza's partnership is real validation at scale.
• Per-conversation pricing can work if you have very low call volume and not a high-volume location.
• Custom voice cloning available

Cons - Revmo

• Because they serve multiple industries, restaurants aren't their main focus.
• Store staff reported ongoing technical issues with the system.
• Have to use the keypad to reach a specific store if stores are sharing a number.
• Menu Setup & Unpaid Order routing can take a long time to configure.
• No SMS confirmation: customer has nothing to reference at pickup or to confirm accuracy post-call.
• No proactive upselling after the first item. Only generic upsell prompts given of “add anything else”.
• Audio can be static and have glitches.
• Per-conversation pricing is risky. Costs can spike during holidays or due to spam/Google verification bots.
• Further POS mappings may be required to ensure orders are displayed correctly and payment is collected properly, so as not to miss revenue.
• Missing metrics in the call reporting make it harder to see where calls are being routed and what’s happening with incomplete orders.
• Does not have a payment option for some POS systems.

Loman (www.loman.ai)

Founded: 2024 | In the industry: ~1 year | Pricing: $199–$399/month base + $0.60/minute (600 minutes included)

Loman launched in 2024 in Austin and works with small, 1-2-store locations, particularly in the pizza category. Their pricing model uses a base fee with a limited amount of included minutes, with overage fees beyond that.

How the call went: First call hit a busy line, and the AI never picked up meaning issues with concurrency. Second attempt connected, but the ringtone shifts awkwardly during the transfer to the AI system. Once live, the AI handled menu knowledge well: it mapped "supreme" to the actual "Super Deluxe" item, walked through sizes, and confirmed the half-and-half build cleanly. Upsell was natural, suggesting garlic breadsticks and dessert without feeling pushy. Loved this! The weak spots: quick confirmation blips ("one sec… ok got it") broke conversational flow. Post-call, an SMS summary went out with the item name and a 25-minute pickup ETA, but no link to a full order recap to confirm order accuracy. The text also came from an 855 toll-free number that Apple's spam filter flagged straight to junk. Dining option mapped to Loman pickup. Order was accurate.

Pros - Loman

• Medium-to-fast conversational experience.
• Reasonable base pricing if you have low call volume and don’t mind overage fees on high season months.
• Growing POS and reservation integrations (SpotOn, OpenTable).
• The system remembers the customer's name. Uses personalization at the end of the call to confirm the order. Does not greet the customer by name at the start of the call.
• Has detailed upsells. Great at referencing specific item names, like Kea AI.
• Good mapping of dining options for back-of-house clarity on AI phone order.

Cons - Loman

• The AI phone system did not pick up on the first ring with a busy signal. Concurrency limitations observed in testing.
• The hybrid base-fee + per-call pricing model is expensive. High-volume brands have reported bills of $1,300 to $1,400/month.
• No order recap visualization post-order confirmation, so there is no way to verify if it is correct when sent to the point-of-sale. Simple SMS text with make-time.
• No feedback collection from the customer.
• Some long pauses and blips when AI is confirming items.
• Order submission delays for complex orders up to 5-8 minutes. (See delay issue)
• Just over ~1 year in the industry, still building the depth of menu intelligence needed for complex restaurant menus.
• Basic voices like Maple and other providers.
• Missing key metrics in call reporting make it hard to track incomplete calls or forwarded calls.
• No indicator of payment status in the ticket when hitting the point-of-sale.
• SMS of order confirmation comes from a toll-free number, which is routed as spam.

The bottom line

Every provider on this list is trying to solve a real problem: restaurants miss too many calls, and staff are too stretched to answer everyone. But the depth of the solution matters.

For comprehensive, stable AI voice ordering, Kea remains the most robust choice. For those prioritizing only budget, Maple’s $240/month offers the lowest price but fewer features. Revmo suits the experimenter seeking flexibility at very low volumes, but costs can spike quickly while missing key features. Loman flexes quick support for 1-2 store location brands, but high-volume restaurants risk much higher bills with an average call experience.

Most restaurants need the full picture: including custom upsell rules, white-labeled SMS, real-time 86 detection, AI Manager insights, 7-9 modifier depth, instant POS submission with zero humans in the loop, the most comprehensive call reporting in the industry, and a team with eight years of restaurant-specific menu intelligence. That’s Kea AI. If you are managing past 5+ locations within your restaurant group, reliability has to be at the forefront. Voice AI needs to scale with your phone volume and customer demand.

Interested in giving Voice AI a try? Get started at kea.ai or email sales@kea.ai. No gimmicks. No hidden fees. Just $15 a day.