Retell AI Alternatives in 2026: 8 Options Compared by Why You Are Leaving

Two completely different people search for Retell AI alternatives. The first is an engineer whose bill stopped being predictable, or who hit the concurrency pricing, or who needs compliance that only comes on an enterprise contract. The second watched a demo, signed up, and discovered Retell is an SDK rather than a product. Those two need opposite answers, and most comparison pages serve neither.

This one prices all eight alternatives from their own pricing pages, shows what a real 10,000 minute month costs on each billing model, and says plainly which options need an engineering team. We build AI voice agents for home service businesses, so we have run this stack and paid these bills. We are not voice infrastructure, which is why all eight recommendations below are platforms and none of them is us.

Two providers in the usual roundups have been removed rather than ranked, and the reasons are near the end. One of them is the subject of an FTC settlement.

Why Teams Leave Retell AI

Retell is a capable platform and most teams do not leave because it works badly. Four triggers account for nearly all of it, and all four are visible on Retell's own pricing page rather than in complaints.

• Billing you cannot forecast. The headline is $0.07 to $0.31 a minute, and that range exists because you are billed for four things at once: voice infrastructure at $0.055, text to speech from $0.015, telephony at $0.015 for US calls through Twilio, and the LLM at anywhere from $0.003 a minute on GPT-5 nano to $0.16 on GPT-5.5. Swap the model to improve quality and the unit economics move underneath you.
• It needs engineers, and you may not have any. API-first design is the reason developers choose Retell and the reason everyone else abandons it. If nobody on the team writes code, no amount of documentation closes that gap.
• Concurrency costs money as soon as you are real. Twenty concurrent calls are free, then it is $8 per concurrency per month. A hundred lines is $640 a month before a single minute of conversation.
• Compliance sits behind an enterprise conversation. Custom compliance terms are an Enterprise plan feature, so a small team with a healthcare or finance client cannot simply buy their way to it on the self-serve tier.

Those four triggers point in four different directions, which is why the next section comes before any provider.

What Retell AI Actually Costs

Every comparison below is measured against these numbers, taken from Retell's pricing page in August 2026.

Stack those and the published range makes sense. A web call on GPT-5 nano with no telephony is about $0.073 a minute, which is the $0.07 floor. A phone call on GPT-4.1 is $0.13. On Claude 4.6 Sonnet it is $0.165. On GPT-5.5 it is $0.245, and premium voices take it to the $0.31 ceiling.

That is the whole problem in one paragraph. The floor and the ceiling are the same platform, and which one you land on is decided by a model choice you will probably revisit twice before launch.

Four Questions That Pick Your Alternative

• Does anyone on the team write code? If no, stop reading the infrastructure section entirely and look at Goodcall or a managed service. This question eliminates more of the list than any other.
• Is the problem the price or the predictability? If per-minute cost is genuinely too high, LiveKit or Pipecat remove the platform margin. If the issue is that you cannot forecast the bill, Bland's all-inclusive rate fixes it without touching your architecture.
• How many concurrent calls at peak? Under 20 and Retell's concurrency is free, so that trigger does not apply to you. Over 100 and concurrency pricing becomes a bigger line than the conversation minutes on several platforms here.
• Do you need HIPAA, SOC 2 or zero data retention, and on what timeline? Compliance is a paid add-on or an enterprise contract nearly everywhere, so price it before you compare per-minute rates. It is usually the largest number on the page.

Answer the first question honestly. Half the frustration with Retell comes from people answering it optimistically.

Retell AI Alternatives Compared

The engineering column is the one to read first. Three of these are frameworks, three are products, and two sit in between, and no amount of per-minute saving survives picking the wrong side of that line.

A Note on Reviews Before the Entries

Several entries below say the review evidence is thin, and that is a finding rather than an omission. Voice AI infrastructure largely has no verified business software review profile, because these products are bought by engineers through documentation and free tiers rather than through Capterra listings. Nothing here is invented: where a provider has no verified profile the entry says so and points at what can actually be checked, which for open-source tools means the repository. Anyone publishing confident star ratings for a WebRTC framework is making them up.

1Vapi

Vapi is the closest like-for-like alternative to Retell, and for the same reasons it is the least likely to solve a billing complaint. It is modular by design: bring your own LLM, your own speech to text, your own text to speech, and Vapi handles the real-time voice orchestration for $0.05 a minute. Teams that leave Retell for Vapi are usually chasing control, not savings.

Key features

• Bring your own LLM, speech to text and text to speech providers
• Real-time streaming voice orchestration with low latency
• Multi-step call flows and tool calling
• 10 concurrent calls included on Build, more at $10 per line a month
• HIPAA and zero data retention available as paid add-ons

Pros

• Deeper provider swapping than Retell, including custom fine-tuned models
• Platform fee is $0.05 a minute against Retell's $0.055, so the infrastructure layer is marginally cheaper
• HIPAA is at least purchasable on a self-serve path rather than requiring an enterprise negotiation

Cons

• Keeps the itemised billing that drives most people off Retell, so the forecasting problem follows you
• HIPAA costs $2,000 a month and zero data retention another $1,000, which dwarfs the per-minute difference
• Concurrency is more expensive than Retell's at $10 per line against $8
• Requires engineers comfortable with websockets, JSON payloads and several provider billing keys

How much does Vapi cost?

The Build tier is usage-based at $0.05 a minute for the platform, with model and transport costs passed through to you at provider rates. Ten concurrent calls are included, then each additional line is $10 a month. SMS and chat are $0.005 a message. Scale is an annual contract with committed volume and volume-based per-minute pricing. HIPAA compliance is $2,000 a month and zero data retention $1,000 a month, both on top.

How does Vapi compare to Retell AI?

More modular, marginally cheaper at the platform layer, and identical in the thing that annoys people most. It solves a control problem, not a cost problem.

At 10,000 minutes a month the platform fee difference is $500 against $550. Meanwhile a HIPAA requirement adds $2,000 a month on Vapi, and on Retell it moves you to an enterprise conversation with no published number, so if compliance is why you are shopping, get both quotes before assuming either is cheaper.

Who should use Vapi?

Engineering teams that want to swap models mid-project, run custom fine-tunes, or own the pipeline in a way Retell's stack does not allow, and who have the discipline to track four provider bills.

Bottom line: the right move for control, the wrong one if you came here to make the bill predictable.

2Bland AI

Bland answers the single most common Retell complaint directly, and it does it by giving up the thing Vapi sells. The pipeline is closed and proprietary, and in exchange the per-minute rate covers the LLM, the speech to text and the text to speech with, in its own words, no token charges and no model provider passthroughs. One number, billed per minute, whatever happens inside.

Key features

• All-inclusive per-minute rate covering LLM, speech to text and text to speech
• Built for heavy concurrent outbound dialing, up to 5,000 calls a day on Scale
• Concurrency of 10, 50 and 100 across the three published tiers
• Call transfers billed separately and cheaply, at $0.03 to $0.05 a minute
• Dashboard for launching and monitoring large calling campaigns

Pros

• One rate instead of four line items, which makes a forecast possible for the first time
• Concurrency is bundled into the tier rather than charged per line, unlike both Retell and Vapi
• Genuinely built for parallel outbound volume, which Retell is not optimised for

Cons

• Closed pipeline, so you cannot bring a preferred or fine-tuned model
• More expensive than Retell if you are happy on a cheap model like GPT-4.1
• The platform fee is real: $299 or $499 a month before any minutes on the useful tiers
• Still needs technical oversight to build and maintain campaign logic

How much does Bland AI cost?

Start has no platform fee and charges $0.14 a minute of talk time, with 100 calls a day and 10 concurrent calls. Build is $299 a month plus $0.12 a minute, with 2,000 calls a day and 50 concurrent. Scale is $499 a month plus $0.11, with 5,000 calls a day and 100 concurrent. Transfers are $0.05, $0.04 and $0.03 respectively. Enterprise is contracted to volume. The rate is all-inclusive.

How does Bland AI compare to Retell AI?

Predictable where Retell is not, and the answer to whether it is cheaper depends entirely on which model you would have used.

Take 10,000 minutes a month. On Retell with GPT-4.1 over the phone, that is $0.13 a minute, so $1,300. On Retell with GPT-5.5 it is $0.245, so $2,450. Bland Build is $299 plus $0.12, so $1,499, and Scale is $499 plus $0.11, so $1,599. Bland is about $200 more than budget-model Retell and roughly $900 less than premium-model Retell, and unlike either it is the same number next month.

Who should use Bland AI?

Teams running high concurrent outbound volume, and any team whose finance function has asked why the voice bill moved 40 per cent without the call count changing.

Bottom line: buy it for a bill you can predict and for concurrency at scale, not for the lowest possible per-minute rate.

3LiveKit

LiveKit is the only option here that removes the platform margin rather than reducing it. Both the agents framework and the media server are open source, so a team with devops capability can self-host the real-time layer and pay nothing but cloud bills and provider tokens. LiveKit Cloud exists for everyone who would rather not, and it is priced far below the hosted platforms.

Key features

• Fully open-source agents framework and media server, self-hostable
• LiveKit Cloud with a free tier and published paid tiers
• Agent session billed at $0.01 a minute on cloud, with telephony at $0.01
• Up to 600 concurrent sessions on the Scale tier
• Bring any speech to text, text to speech and LLM provider at their own rates

Pros

• Agent sessions cost $0.01 a minute against Retell's $0.055 infrastructure fee, a fifth of the price
• Self-hosting removes platform lock-in and per-minute markup completely, which nothing else here offers
• Concurrency is enormously cheaper: 600 sessions on a $500 tier, against $640 a month for 100 lines on Retell

Cons

• Self-hosting needs real devops: deployment, scaling, monitoring and on-call
• You are assembling a voice agent, not configuring one, so time to first call is much longer
• Compliance is entirely your responsibility on self-hosted deployments
• The free tier is small at 1,000 agent session minutes and 5 concurrent sessions

How much does LiveKit cost?

Self-hosting the open-source stack is free, and you pay for your own servers and provider tokens. LiveKit Cloud starts at $0 with 1,000 agent session minutes, 5 concurrent sessions and one deployment. Ship starts at $50 a month with 5,000 minutes and 20 concurrent. Scale starts at $500 a month with 50,000 minutes and up to 600 concurrent. Enterprise is custom. Component rates on cloud are $0.01 a minute for the agent session and $0.01 for inbound telephony, with speech and language models at provider rates.

How does LiveKit compare to Retell AI?

A fifth of the infrastructure cost and none of the convenience. You are trading engineering time for margin, at a very favourable exchange rate if you have the engineers.

At 10,000 minutes a month, LiveKit's agent-session cost is $100 against Retell's $550 in infrastructure fees, and the Scale tier's 50,000 included minutes means most teams at this volume are inside a $500 plan. The models and telephony cost roughly the same on both. What Retell sells for the difference is not having to run any of it, which is a real product and worth real money to a team of three.

Who should use LiveKit?

Teams with devops capability and enough volume that platform margin is a meaningful line item, and anyone whose data policy rules out sending audio through a third-party platform at all.

Bottom line: the cheapest path per minute by a wide margin, and the most expensive in engineering hours. Below serious volume, that trade rarely pays.

4Goodcall

Goodcall is the answer for the second reader, the one who bought a demo and found an SDK. It is a managed AI receptionist rather than a build platform, and it is priced on a completely different axis: minutes and tokens are unlimited, and you pay per agent per month plus a cap on unique customers. For anyone who left Retell because the per-minute meter was the problem, that is the structural fix.

Key features

• Unlimited minutes and tokens on every tier
• Priced per agent, with 100, 250 or 500 unique customers a month included
• Logic flows for call handling, from 1 on Starter to 25 on Scale
• Point of sale and CRM sync, plus directory contacts for transfers
• SOC 2 and ISO 27001 published

Pros

• Unlimited minutes removes the per-minute forecasting problem entirely rather than smoothing it
• No engineering required at all, which no other option above can claim
• Cheaper than any per-minute platform for steady inbound volume from a repeat customer base

Cons

• Not a build platform, so bespoke call logic and custom models are off the table
• Priced per unique customer, so high-churn or one-off caller bases get expensive at $0.50 each past the cap
• Per agent pricing means multiple use cases multiply the bill
• Has stated it does not sign business associate agreements, so HIPAA workflows are out

How much does Goodcall cost?

Per agent, billed monthly: Starter $79, Growth $129, Scale $249. On annual billing that drops 15 per cent to $66, $108 and $208 a month. Every tier includes unlimited minutes and tokens. The metered dimension is unique customers a month, 100 on Starter, 250 on Growth and 500 on Scale, with additional customers at $0.50. Enterprise is custom.

How does Goodcall compare to Retell AI?

A product where Retell is a toolkit, and a fundamentally different billing axis. It is not a substitute for building; it is an alternative to needing to.

Growth on annual billing is $1,296 a year, which is roughly what 10,000 minutes costs on Retell in a single month with a mid-tier model. That comparison flatters Goodcall and it is not quite fair, because Goodcall caps unique customers and Retell caps nothing. The real question is whether you need a platform at all, and for a business answering its own phones, usually not.

Who should use Goodcall?

Small businesses handling inbound calls from a repeat customer base, with no engineers and no appetite for hiring any, and no HIPAA requirement.

Bottom line: the right answer if you never wanted to build a voice agent, and the wrong one the moment you need custom logic.

5Pipecat

Pipecat is an open-source Python framework for real-time voice and multimodal agents, and it sits one layer lower than everything above. There is no platform, no per-minute fee and no vendor: you compose the pipeline from whichever speech and language providers you want and run it on your own infrastructure. It is the most control available and the least expensive product.

Key features

• Open-source Python framework for real-time voice and multimodal agents
• Fully vendor-neutral across speech to text, text to speech and LLM providers
• Pipeline architecture with fine-grained control over interruption and turn-taking
• Runs on your own infrastructure with no licence cost
• Active examples and community for common call patterns

Pros

• No platform margin at all, which removes the entire category of complaint that brought you here
• Complete control over pipeline behaviour, including the parts hosted platforms abstract away
• No vendor to be repriced by, which matters if you are building a product on top

Cons

• You are building and maintaining infrastructure, not configuring a service
• No dashboard, no managed telephony, no support contract
• Compliance, monitoring and scaling are entirely yours
• Time to first production call is measured in weeks, against hours on Retell

How much does Pipecat cost?

Nothing to licence. You pay for computers, for telephony, and for whichever speech and language providers you choose, at their own rates. Budget engineering time as the real cost, because it is the dominant one and it does not stop after launch.

How does Pipecat compare to Retell AI?

Everything Retell abstracts, handed back to you along with the savings and the pager.

Retell's $0.055 a minute infrastructure fee is what you stop paying, so at 10,000 minutes a month you save $550 and inherit the on-call rotation. Good trade for a team with platform engineers, bad one for a team of three shipping a product, and most teams overestimate who they are.

Who should use Pipecat?

Teams building voice as a core product capability rather than a feature, with engineers who want the pipeline itself to be theirs.

Bottom line: maximum control and zero licence cost, paid for in engineering time you cannot spend elsewhere.

6Synthflow

Synthflow is still widely described as the affordable no-code option for agencies, and that description is out of date. It publishes a visual drag-and-drop builder with a large library of CRM and calendar integrations, which is genuinely the easiest path from nothing to a working agent on this list. It is now sold as an enterprise product, and the entry price reflects that.

Key features

• Visual drag-and-drop flow builder with no code required
• Large library of CRM and calendar integrations including HubSpot, GoHighLevel and Calendly
• Managed stack, with providers pre-configured rather than assembled
• Custom concurrency planning as part of the enterprise scope
• Telephony, security and launch support included in the contract

Pros

• Fastest path from nothing to a working agent, with no engineering at all
• Managed stack means no provider billing keys to track, unlike Retell or Vapi
• Enterprise contracts bundle telephony, security review and launch support that you would otherwise assemble

Cons

• Enterprise contracts start at $30,000 a year, which rules out the audience it is still marketed to
• No published self-serve tier or per-minute rate, so it cannot be trialled against a budget
• Less adaptable than code for anything that needs custom logic mid-call
• Widely quoted at $99 to $299 a month in comparison content, including material published this year, so expect a surprise on the sales call

How much does Synthflow cost?

Enterprise contracts start at $30,000 annually, which is $2,500 a month, with final pricing scoped around call volume, concurrency, telephony setup, integrations, security needs and launch support. No standard monthly tiers, per-minute rates or self-serve pricing are published. Any figure in the $99 to $299 range that you find in a comparison table is stale.

How does Synthflow compare to Retell AI?

Far easier and roughly twenty times the entry cost. It is not competing with Retell any more; it is competing with Cognigy.

Retell will let you start for $10 in free credits and scale into a bill. Synthflow will not talk to you below $30,000 a year. At 10,000 minutes a month Retell costs $1,300 to $2,450 and Synthflow costs $2,500 with a contract, so at high volume they converge, but Synthflow removes the engineering requirement and Retell removes the commitment.

Who should use Synthflow?

Enterprises that want a no-code builder, have a five-figure annual budget for voice, and would rather buy launch support than hire for it.

Bottom line: an excellent builder at a price that has moved out of reach of the agencies still being told to consider it.

7Smith.ai

Smith.ai belongs on this list for the reader whose real conclusion is that they do not want to own any of this. It is a managed answering service combining live agents with AI, so there is no platform, no pipeline and no per-minute metering. The trade is obvious and worth stating plainly: it is the most expensive per conversation and the only option that involves human beings.

Key features

• Live human agents combined with AI answering
• Call packages priced per call rather than per minute
• CRM and calendar integration, with intake handled by the service
• No build, no pipeline and no maintenance
• Established operation with a long track record in professional services

Pros

• Removes the problem entirely rather than re-platforming it, which nothing else here does
• Live humans handle the calls that AI genuinely should not, which no platform above offers
• Per-call pricing is easy to forecast against a known lead volume

Cons

• Verified at $292.50 for 30 calls, which is roughly $9.75 a call and far above any platform here
• Not a platform, so there is no custom logic, no model choice and no API-first workflow
• Costs scale linearly with call volume, so it does not suit high-volume outbound at all
• Research and comparison tables frequently quote it from $59 a month, which does not match verified pricing

How much does Smith.ai cost?

Verified at $292.50 for 30 calls, which works out at about $9.75 a call. Note that figures circulating in comparison content, including a widely repeated from $59 a month, do not match that. Get current package pricing directly, and price it per call against your own lead volume rather than per minute, because the billing unit is different from everything else on this page.

How does Smith.ai compare to Retell AI?

Not a competitor so much as an admission that the project was the wrong shape. Vastly more per conversation, and zero engineering.

Thirty calls at $292.50 is roughly what a few hundred minutes cost on Retell, so on unit economics this is not close. What you are buying is a human answering the phone and nobody maintaining anything, and for a firm where one converted call is worth four figures, the unit cost is not the deciding number.

Who should use Smith.ai?

Professional services firms with high-value calls, low call volume and no interest in operating software, particularly where a human voice is part of the service.

Bottom line: the right answer when each call is worth far more than $9.75, and obviously wrong at volume.

8Cognigy

Cognigy is the enterprise contact centre answer, and it is on this list mostly to mark the ceiling. It is conversational AI for large support operations, with workflow automation, omnichannel handling and the integration depth that enterprise service organisations require. Nobody arrives here from a $10 Retell credit balance; they arrive from a contact centre transformation programme.

Key features

• Conversational AI built for enterprise contact centre volumes
• Omnichannel handling across voice and digital channels
• Workflow automation and deep enterprise CRM integration
• Agent assist alongside full automation
• Enterprise security and compliance posture, verified during procurement

Pros

• Handles enterprise contact centre scale and governance that no platform above is built for
• Omnichannel rather than voice-only, so it consolidates rather than adds a channel
• Procurement, security review and support structures that enterprises actually require

Cons

• No published pricing, so it cannot be compared without a sales process
• Heavy implementation, measured in quarters rather than weeks
• Comprehensively oversized for anyone evaluating a $0.05 a minute platform
• Licence cost is typically the smaller part of total programme cost

How much does Cognigy cost?

Enterprise licence, quote only, with nothing published. Assume a procurement cycle, a security review and an implementation budget alongside the licence. If a published per-minute rate matters to your decision, this is not your platform, and that is a useful thing to establish quickly.

How does Cognigy compare to Retell AI?

A different product category solving a different problem at a different order of magnitude. There is no meaningful price comparison to make.

Retell is infrastructure a developer can start using this afternoon. Cognigy is a platform a contact centre adopts over two quarters with a project team. Both appear here only because a search for alternatives collects everything, and knowing which end of that range you sit at is most of the decision.

Who should use Cognigy?

Enterprise support organisations running large contact centres, with a transformation budget and a project team to spend it.

Bottom line: right at contact centre scale, and irrelevant to anyone comparing per-minute rates.

Itemised, All-Inclusive or Subscription: The Decision That Actually Matters

Per-minute rates are not comparable across these platforms, because they are not measuring the same thing. Three billing models are in play, and picking the model matters more than negotiating the rate.

Here is the same 10,000 minute month priced four ways, which is the comparison the per-minute headlines obscure.

Two things fall out of that table. Retell's model choice alone swings the bill by $1,150 a month, which is more than most of the platform fees on this page. And Bland sits between budget-model and premium-model Retell, which is exactly what an all-inclusive rate should do: worse than the cheapest configuration, better than the expensive one, and the same every month.

Which Alternative Fits Your Build Capability

Which Alternative Fits Your Use Case

Compliance and Concurrency: The Two Costs Nobody Compares

Both of these are usually discovered after a platform is chosen, and both can exceed the per-minute spend.

A hundred concurrent lines is $640 a month on Retell and $900 on Vapi, while Bland's Scale tier includes 100 and LiveKit's includes up to 600. If peak concurrency is your constraint rather than total minutes, that table reorders the whole list. And on compliance, one rule saves a great deal of trouble: what a vendor publishes and what a vendor will sign are different things, and only the second protects you. Ask for the artefact, not the claim.

How to Migrate Off Retell AI Without Breaking Production

Voice agents fail differently from software: the regression shows up as a caller hanging up rather than an error in a log. This order keeps that from happening in front of customers.

• Inventory what you actually run. Every agent, prompt, tool call, webhook, transfer rule and knowledge base. This becomes the requirements list, and it is nearly always smaller than the platform surface suggests.
• Export prompts, transcripts and call outcomes. Transcripts are the only record of what good behaviour looked like, and you will need them to judge the replacement.
• Build an evaluation set before touching a new platform. Twenty to fifty real call scenarios with expected outcomes, taken from your own transcripts. Without this, comparison is vibes.
• Price the target platform at your real concurrency and compliance requirements, not the headline rate. Include the add-ons, because that is where the surprises live.
• Rebuild one agent on the new platform and run it against the evaluation set. Latency, interruption handling and tool reliability are what differ between platforms, not features.
• Shadow-test on live traffic. Route a small percentage of real calls and compare outcomes against the incumbent, because synthetic tests do not surface what real callers do.
• Cut over by traffic percentage, not all at once. Ten per cent, then fifty, then the rest, with the old configuration still deployed and ready to take the traffic back.
• Keep the Retell account alive until a full billing cycle has closed on the new platform. Cancelling early is how teams discover a cost they had not modelled with no way back.

Two practical notes. Keep your transcripts after cancelling, because they are your only evaluation data and they do not export from a closed account. And check whether your telephony numbers port or need to be re-provisioned, because that detail has delayed more cutovers than any technical problem on this list.

The Part No Platform Here Solves

Every option above answers the same question: which platform should build the voice agent. For a large share of people who search for Retell AI alternatives, that is not actually the question. They are a business that wanted its phone answered, found a demo, and ended up evaluating WebRTC infrastructure.

The cost of getting that wrong is not a per-minute rate. It is a quarter of engineering time spent building something that already exists, then maintaining the prompts, the evaluation suite and the compliance posture permanently. Retell, Vapi, LiveKit and Pipecat are all excellent at what they do, and none of them is a finished product for a business that just needs to stop missing calls.

So the first question is worth asking again, more bluntly: are you building a voice product, or do you need one? More on that in the verdict.

The Verdict: Which Alternative for Your Situation

The verdict splits by build capability before anything else. Engineers and volume: LiveKit or Pipecat remove the margin. Engineers and a deadline: Bland for predictability, Vapi for control. No engineers: Goodcall or Smith.ai, and no per-minute comparison changes that. Price concurrency and compliance before the rate, and shadow-test on live traffic before cutting over.

The quick verdict

• Closest like-for-like: Vapi, $0.05 a minute platform, same itemised billing
• Predictable bills: Bland AI, $0.11 to $0.14 all-inclusive
• Removing the margin: LiveKit, open source or $0.01 a minute on cloud
• Maximum control: Pipecat, free and entirely your problem
• No engineers: Goodcall, from $66 a month per agent, unlimited minutes
• None of it: Smith.ai, at $9.75 a call
• Enterprise scale: Cognigy, or Synthflow at $30,000 a year for no-code

And if the honest answer was that you need a voice agent rather than that you are building one, the cheapest decision on this page is not a platform at all.

For home service businesses specifically, that job is already a product rather than a project. ServiceAgent answers every call on the first ring including nights and weekends, captures the name, address, number and nature of the job, books it, and can take a deposit before the caller hangs up. No prompts to write, no pipeline to maintain. Plans run $0 to $279 a month with no per-user fee and no contract, and AI voice time lands near $0.24 a minute on Growth: more than raw infrastructure, far less than a quarter of engineering time. It is a managed product for one industry rather than voice infrastructure, so if you are building a platform of your own, pick one of the eight above. Confirm current compliance documentation if regulated data is in scope.