10 Best AI Receptionist Companies 2026(#1: Frenchy Digital)

Which AI receptionist is actually the best one? It sounds like the easiest question in the category. Then you open the comparison pages that rank for it, and the ones I found (Vellum, OmniMD and others like them) turned out to be vendor or affiliate content, leaning on answer rates and "accuracy" figures the vendors publish about themselves.

That's not a ranking. That's a leaderboard of press releases.

So I did the boring version instead. On September 27, 2026 I went through the pricing pages of every AI receptionist vendor I could verify, wrote down only what each page actually says, and scored ten of them on five things you can re-check yourself in about ten minutes per vendor. No call quality scores, no containment rates, no "our AI answers 99% of calls". Just what's published.

The wrong mental model most buyers bring to this is that an AI receptionist is a software purchase, so the best one is the one with the best features. The better model is that it's priced like software but judged like an employee: you care what it costs at your volume, what it's allowed to handle, and who picks up when it can't. Therefore the most useful ranking scores those things and refuses the rest.

If you're earlier in the process and still working out which category of product you even need (an answering service with AI, a DIY voice platform, a vertical tool or a custom build), start with our AI receptionist software buyer's guide and come back here with a shortlist.

Five attributes, two points each, ten points maximum, all taken from the vendor's own public pages on September 27, 2026.Here's the rubric in full, stated before the table so you can disagree with it before you see who won.

Ownership and corporate status is in the evidence table too, but it isn't scored. I could only verify a status change for two vendors in this market (OpenPhone is now Quo, and Numa has repositioned to car dealerships), and scoring an attribute I could verify for so few would reward whoever happened to make news.

Ties are broken by the lower published entry price, then alphabetically. That's a blunt rule, and I'd rather use a blunt rule you can see than a subtle one you can't.

To be clear about what that means: a high score here says a vendor tells you a lot before you sign. It does not say the agent sounds natural, books correctly or handles your accent mix. A vendor could publish everything and still run a mediocre agent. You find that out in the trial, which is why the trial is one of the five attributes.

Who we excluded, and why.Developer voice platforms (Vapi, Retell, Bland, Synthflow) are building blocks, not receptionists, so they get their own section. Lindy is a general agent tool that can make calls. Ruby is a human answering service whose AI is an included enhancement with no standalone price. Newo.ai publishes a receptionist plan but not what its billing "unit" is, so its price can't be compared. Numa now positions itself for car dealerships only. Allo and AnswerConnect's AI pricing pages returned 404 on the day, so we print nothing about them.

How to re-check.Every cell in the evidence table names what the vendor's page said on September 27, 2026, and the sources list at the bottom gives each URL. Pricing pages change without notice. If you're about to sign, screenshot the page on the day and keep it with the contract.

Upfirst came out on top with 9 of 10, and the gap between the top and bottom of this table is mostly a gap in disclosure. Here are the scores. The next table shows the evidence behind each number.

Scores reflect the vendor's public pricing pages checked September 27, 2026. A zero means the attribute was not disclosed on the page we checked, not that the vendor cannot provide it.

The first thing I noticed laying this out: BAA is the weakest column by a distance. Not one of the ten earns both points there: four earn a partial point and six earn nothing. If you run a dental office, a therapy practice or anything else that touches health information, that single column narrows your list faster than the other four combined.

The second: trials are nearly universal. Nine of ten publish a trial, a free tier or a refund window. That's good news, because it means you almost never have to take a vendor's word for call quality. You can ring the thing yourself.

Each cell below is what the vendor's page said on September 27, 2026, or the words "not publicly disclosed".Compliance lines are the vendor's own claims; we inspected no certificate, audit report or signed BAA for any of them.

Sources: each vendor's pricing page as listed in the sources section. Smith.ai's human handling line comes from its general pricing page rather than its AI Receptionist page. Quo's rebrand is confirmed by openphone.com redirecting to quo.com.

Read the units column carefully before you read the prices. Upfirst and Smith.ai bill by the call. Dialzara, Trillet and RingCentral bill by the minute. Goodcall bills per agent and meters unique customers. My AI Front Desk bills a flat fee plus credits. Abby Connect bills in "Abby minutes" that double when you choose AI. Quo charges per seat plus per call. Those aren't five ways of saying the same thing, and the cheapest headline is often not the cheapest bill.

Here's each vendor in rank order, with what earned its score, what cost it points, and who it suits.Every recommendation comes with its downside in the same breath, because that's the part the vendor's page won't write for you.

The cheapest AI receptionist is the one that's cheapest at your call count and call length, and the headline price rarely tells you which that is.The wrong model is to compare entry prices. The right one is to divide each plan's price by what it includes, then check the overage at your real volume.

Our arithmetic from published plan prices, September 27, 2026. Effective unit price assumes you use the full allowance.

Let's run one scenario out loud. Suppose your office takes 200 calls a month. On Smith.ai, the 150-call tier is $270, plus 50 extra calls at $2.30 each, which is $115, for about $385. On Upfirst, 200 calls fits inside the Pro plan's 300 at $159.95.

$385 divided by $159.95 is about 2.4. So at that volume, Smith.ai's published AI pricing costs roughly 2.4x Upfirst's. That's not a small difference, and it's one a feature comparison would never show you.

Now the catch. Per-call and per-minute plans flip depending on how long your calls run. Suppose those same 200 calls average two minutes, so 400 minutes. Dialzara's Plus plan covers 500 minutes for $199. If they average four minutes, 800 minutes, you're on Elite at $349, and Upfirst's $159.95 doesn't change at all because it doesn't care about length.

Therefore the one number you need before any demo is your average call length. Your phone provider almost certainly has it in a call log export. Pull 30 days, divide total minutes by total calls, and you'll know in five minutes which pricing model favours you.

One more reference point, because every buyer asks it. The BLS puts the median receptionist wage at $38,010 a year for 2025, per its Occupational Outlook Handbook. That's about $3,168 a month in wages alone, roughly 20x Upfirst's Pro plan. But a person does far more than answer calls, and none of these plans replace one; the honest comparison, with benefits and coverage hours, is in our AI versus human receptionist cost breakdown, and the full price sheet for twelve vendors lives in our AI receptionist pricing comparison.

And keep one eye on what these prices don't include: the time somebody on your team spends writing the script, updating hours before a holiday and reviewing transcripts. That's a real, recurring cost. It just isn't on anyone's pricing page.

Several vendors publish real prices but aren't finished receptionists, so ranking them next to Upfirst would compare a kit to a car.Here's what they publish, so you know what you'd be buying if you go the build route.

Vapi charges $0.05 a minute for its hosting with the underlying models passed through at cost, $5 in free credits, a $29 Core package and a Pro tier at 10% of the hosting fee with a $999 monthly minimum, per the Vapi pricing page. When I re-checked the page on September 27, 2026, it listed HIPAA-eligible data handling as a $2,000 a month add-on per organization, which it says comes with a BAA. That add-on alone equals 40,000 minutes of hosting at $0.05, which tells you who the platform route is priced for.

Retell AI lists pay-as-you-go pricing from $0.07 to $0.31 a minute, with $10 in free credits and 20 concurrent calls included, per its pricing page. It describes itself as SOC 2 certified and HIPAA-ready, with a custom BAA in the Enterprise column. Those are its own claims.

Bland AI charges $0.14 a minute of talk time on its Start plan with no platform fee and a 100-calls-a-day cap, and $0.12 a minute on Build, according to its pricing page. Bland says it is HIPAA-eligible with a signed BAA, listed under Enterprise. Synthflow shows only enterprise contracts starting at $30,000 a year on the page we fetched.

Those per-minute prices look tiny next to the receptionist plans, and that's the trap. The wrong model is "$0.07 a minute beats $0.45 a minute". The right one is that platform pricing excludes the call flow design, calendar integration, testing and upkeep that a receptionist vendor bundles in, and somebody has to do that work. If you want to see where the time and latency actually go in a build like this, our voice AI agent architecture guide walks through it.

Also verified, not ranked:Ruby, a human virtual receptionist service ($250 a month for 50 minutes up to $1,725 for 500) that says AI enhancements are included in all plans at no extra cost; Newo.ai, whose receptionist plan is $299 for 200 "units" without saying what a unit is; and Lindy, a general agent tool at $29.99 per user with HIPAA and a BAA on Enterprise only.

AI receptionist marketing leans on missed-call statistics, and the three I kept running into don't survive a trace to their source.I chased each of them. Here's where they came from and why they aren't in this ranking.

"62% of calls to small businesses go unanswered." The origin is a January 2016 post by 411 Locals, a marketing vendor. It monitored 85 businesses in 58 industries for 30 days: 37.8% of calls answered, 37.8% sent to voicemail and 24.3% with no response. The 62% counts voicemail as unanswered. Ten years old, 85 businesses, run by a company selling the cure. It isn't a current rate and we don't treat it as one.

"85% of callers who can't reach you won't call back." I found no primary study at all. Blogs attribute it to Forbes or BIA/Kelsey with no link, date or method, and the 411 Locals post contains no callback data. We refuse it.

"80% of callers sent to voicemail hang up." The earliest trace I found is a 2014 destinationCRM itemciting an unnamed "Forbes study" with no date or sample. Later blogs relabel it under other vendors' names with different numbers. We refuse that too, along with the "$126K lost per year to missed calls" figures that vendor blogs build on top of these.

Why does this matter for a ranking? Because a list that starts with an invented problem size tends to end with an invented solution size. If a vendor's deck opens with one of these, it's a fair signal about how carefully the rest of the deck was sourced. Your own call log is a better number than any of them, and it's free.

One public record of an AI voice product being described as more automated than it was is an SEC order, and it's worth ten minutes of any buyer's time.Presto Automation sold AI voice ordering to drive-thru restaurants. It's not a receptionist company, but the product is a cousin: software answering spoken requests from the public.

On January 14, 2025, the SEC issued a settled cease-and-desist order, Securities Act Release No. 33-11352. Presto consented without admitting or denying the findings, and the order contains no civil penalty. The findings said Presto Voice units deployed until about September 2022 ran on a third party's speech recognition (the order calls it "Supplier A") while being described as Presto's own technology, and that its own units relied on human order takers abroad. The order is a cease-and-desist against Presto; it makes no findings against Supplier A.

The wrong lesson is "AI voice vendors lie". The right one is narrower and more useful: the words "our AI" can cover a supplier's model, and "automated" can cover people. Therefore two questions belong on every sales call. Whose models run the calls? And is a human involved at any point, and where are they?

There's nothing wrong with a vendor using a third-party model. What matters is that you know, because it tells you who else sees your callers' data and whose outage takes your phones down. The FTC made the broader point in September 2024 with its Operation AI Comply sweep, which included a proposed $193,000 order against DoNotPay over unsubstantiated AI capability claims.

Disclosure: Frenchy Digital is my company, so weigh this pick accordingly; it is not scored in the ranking above.

Here's why I'd still put it first for a certain kind of business, and exactly what backs that up. Our AI Receptionist is $5,000 for the agent plus a $5,000 one-time setup fee, both paid through Stripe Checkout as one-time payments. It isn't a subscription. The product page says most builds run 2 to 4 weeks. Usage costs depend on the telephony and model providers, so those sit on top and scale with your call volume.

The wrong way to compare this with the table above is price per month. Upfirst's Pro plan is $159.95; our $10,000 would cover about 62 months of that. So if all you need is a well-behaved answering line, a plan from the ranking is the cheaper choice, and I'd tell you so on a call.

The case for owning it is different. You get the source code and the IP, so the agent, its prompts and its integrations are yours. It's built around your call flow rather than a vendor's template, and it comes with a 30-day post-launch warranty. It doesn't replace your receptionist: it covers after hours, lunch and busy-line overflow, and hands off to your team with the conversation attached.

To be clear about what I can't claim: I have no call-answer or booking statistics to show you, and I won't invent any. What I can point to is our website work, which matters more than it sounds, because a receptionist's answers come from the same facts your site publishes. When we revamped BH Dental Corp's site for a Beverly Hills cosmetic practice, each treatment got its own page and the aligner and take-home products got visible prices, which is exactly the source material an agent should answer from. That was a website project, not a receptionist build.

Who it suits: businesses with a specific intake flow, a system of record the off-the-shelf tools don't name, or a reason to own the agent outright. The downside:a higher upfront cost than any plan above, and you're trusting a build rather than a product with thousands of users. If your needs are standard, pick from the ranking.

The wrong model is that a sales call is where you learn what the product does. The better one is that it's where you learn what the vendor will put in writing.Here's what I listen for, and why each one matters.

• An answer rate or accuracy figure with no method behind it: Ask how it was measured, on whose calls and by whom. If the answer is our customers' data, it's a marketing number.
• HIPAA compliant with no BAA on the table: A badge is not a contract. If you handle health information, ask for the BAA itself and which plan it applies to.
• No clear answer on whose models run the calls: The Presto order is the reason to ask. You want the model and speech providers named.
• Handoff described vaguely: Ask whether transfers are warm or blind, what happens after hours when nobody picks up, and whether the transcript travels with the call.
• Overage billing you can't reproduce: Minutes, calls, customers, credits and 30-second rounding all change the bill. Ask for a sample invoice at your volume.
• A missed-call statistic in the first slide: The common ones are refused above. A deck that opens on one tends to be sourced the same way throughout.
• No trial, or a trial on a different plan: Eight of ten ranked vendors offer a trial or a free tier, and a ninth offers a refund window. Test the plan you'd actually buy.

If you're a law firm, the list gets longer: conflicts, prospective-client confidentiality and state bar guidance on intake bots all change what a receptionist may ask. We worked through those in the law firm AI receptionist checklist.

And whatever you buy, keep a person reachable. Gartner reported in August 2026that 87% of customers say companies using GenAI for customer service must provide access to a human agent (I read the headline; the methodology page was blocked to me). A clean handoff isn't a nice-to-have. It's the thing callers judge you on.

Three rules come up for almost every AI receptionist deployment, and none of them is on a pricing page.This isn't legal advice; for regulated work, talk to counsel.

Recording consent. California Penal Code 632 requires the consent of all parties to record a confidential communication, and about a dozen states take a similar all-party approach. If your receptionist records or transcribes calls, announce it at the top of every call.

AI disclosure. In the EU, Article 50 of the AI Act applies from August 2, 2026 and includes telling people they are interacting with an AI system, per the European Commission's FAQ. In the US it's a patchwork: California's bot disclosure law is written around online communication, and Utah requires disclosure when a consumer clearly asks, and up front for regulated occupations in high-risk interactions. The simplest policy is to say it anyway.

Health information.A covered entity needs a business associate agreement with any vendor that handles protected health information on its behalf. That's why the BAA column carries the weight it does in the scoreboard. And if the agent ever makes outbound calls, the FCC ruled in a declaratory ruling adopted February 2, 2024 that AI-generated voices count as "artificial" under the TCPA, so those calls need prior express consent. Answering inbound calls is a different matter.

A ranking that only reports what it found can't be audited, so here's what I chased and couldn't establish.

• Call quality for any vendor: No independent benchmark exists, and we ran no blind test calls for this piece. The ranking is about disclosure, not performance.
• Any compliance certificate: Every SOC 2, HIPAA and ISO line here is the vendor's own claim. We inspected no audit report or signed BAA, and could not tell whether any certification is the vendor's own or inherited from its cloud provider.
• Upfirst's BAA tier: The page lists BAAs as a plan feature; which plan was not captured.
• Rosie's included minutes: Not captured from the page, which is why its pricing cell scored one point.
• Goodcall's BAA, integrations, fallback and trial: Not verified on the day. Its low score reflects that gap, not a finding that the features are absent.
• Ownership and funding: We verified the OpenPhone to Quo rebrand and Numa's repositioning only. A reported acquisition of TrueLark by Weave came from a search summary and is not printed as fact. Funding rounds were not checked.
• Several vendors entirely: Allo and AnswerConnect's AI pricing pages returned 404; Nextiva, Dialpad and Grasshopper AI receptionist prices were not extracted. They are absent, not excluded on merit.

None of this makes the ranking less useful. It makes it honest about what it is: a shortlist built from facts you can check, meant to get you to a trial faster, not to replace one.

You can get from this article to a real decision in about a week.Here's the order I'd do it in.

1. 1.Export 30 days of call logs from your phone provider and work out two numbers: total calls and average call length. Those decide whether per-call or per-minute pricing favours you.
2. 2.Filter the scoreboard by your non-negotiables. If you handle health information, only vendors with a stated BAA survive; if you need a person on the line, only those with documented fallback. Pick two or three.
3. 3.Start trials on the exact plan you'd buy, call them yourself from your mobile with five real questions your front desk gets, and screenshot each pricing page the day you sign.

If none of them fits your call flow, that's when a custom build makes sense. Otherwise, pick the best of the trials and get back to work.