Sales teams are running out of hours in the day to make outbound calls, and AI voice agents for sales calls are quickly becoming the fix teams reach for when headcount cannot keep pace with pipeline targets. These tools listen, respond, and qualify leads over the phone using a stack of speech to text, a language model, and text to speech, often at a fraction of the cost of hiring another SDR. The category is growing fast too: one estimate puts the AI voice agent market at a 34.8% CAGR, reaching roughly $47.5 billion by 2034. Pricing across the category is also less straightforward than it looks, since some vendors bill per minute, some bill per resolved call, and some run flat monthly seats, so the sticker rate alone rarely tells you what you will actually pay. We researched eight of the most talked about platforms, from developer first orchestration tools to plug and play options built for non-technical teams, so you can see which one actually fits your setup.
1. Retell AI
Best for: developer teams that want a managed pipeline with room to customize.
Retell AI’s managed stack still lets you adjust the pieces that matter, and independent testing puts its latency around 600 to 620 milliseconds out of the box. Pricing runs roughly $0.13 to $0.15 per minute for a standard setup, which is competitive for a platform aimed squarely at engineering teams. It is a solid pick if you want custom call logic without stitching together five separate vendors yourself, and the documentation is detailed enough that most teams can get a working agent live within a day or two.
2. Vapi
Best for: technical teams who want to choose every piece of their voice pipeline.
Vapi is a true orchestration layer: you pick your speech to text provider (Deepgram or Whisper), your language model (OpenAI, Anthropic, Groq, or your own endpoint), and your text to speech engine (ElevenLabs, PlayHT, or Cartesia). Tuned well, for example Deepgram plus GPT-4o-mini plus ElevenLabs Flash, it can hit 500 to 700 millisecond median latency, among the fastest of any platform we looked at. If you are weighing which language model to plug in, our ChatGPT vs Claude vs Gemini tests are a useful starting point, though non-technical users report the setup and cost forecasting here can get overwhelming without an engineer driving it.
3. Bland AI
Best for: high volume outbound calling with predictable per-minute pricing.
Bland AI is built for volume: its Pathways builder handles complex call flows, batch calling, human handoffs, and webhook triggers in one place. Users like the dialer speed and the native SMS combo, and the flat per-minute pricing makes it easier to forecast costs at scale than platforms with usage tiers. That said, latency (700 to 900 milliseconds depending on Pathway complexity) and support responsiveness are common complaints in reviews, so it is worth testing call quality on your own scripts before committing to a large volume contract.
4. Synthflow
Best for: non-technical teams that want a no-code builder and voice cloning.
Synthflow’s visual, drag and drop workflow designer lets marketing and sales ops build conversation flows without an engineer in the loop. Voice cloning is a differentiator if brand consistency across calls matters to you, and the node-based builder makes it easier to hand off maintenance to a non-technical ops hire once the initial flow is built. It trades away some of the deep customization that developer-first platforms offer, so heavier integrations may need a developer eventually anyway.
5. PolyAI
Best for: large enterprises where conversation quality matters more than price.
PolyAI targets banking, healthcare, and hospitality clients where a bad automated call is a brand risk, not just an inconvenience. It is priced and positioned for enterprise deployments rather than a self-serve trial, so expect a sales process and a proof-of-concept phase instead of a credit card signup. That slower path buys more testing and tuning time than most self-serve platforms offer before a full rollout.
6. Regal
Best for: B2B sales teams running outbound and lead qualification at scale.
Regal is built specifically around sales and outbound motions, with agents that qualify leads, move prospects through a funnel, and book meetings while tracking contact rate, conversion rate, and meeting-set rate as core metrics. That sales-specific framing makes it a more natural fit for a revenue team than a general-purpose voice platform would be, since the dashboards are built around the numbers a VP of Sales actually reports on rather than generic call analytics.
7. Aloware
Best for: mid-market teams already living inside HubSpot, Salesforce, Pipedrive, Zoho, or GoHighLevel.
Aloware’s AI Voice Agent starts around $0.10 per minute and plugs directly into the CRMs mid-market sales and support teams already use. If native CRM sync matters more to you than raw customization, Aloware trims a lot of the integration work other platforms leave on your plate, and it doubles as a fairly capable dialer even outside the AI features.
8. ElevenLabs Conversational AI
Best for: teams that want to start free and only pay as usage grows.
ElevenLabs offers a free tier with 10,000 credits before paid plans start around $11 and $99 a month for higher usage and features. Its voice quality is one of the most natural-sounding in the category, which is part of why other platforms, Vapi included, let you plug ElevenLabs in as the text-to-speech layer of their own stack rather than building their own voice engine from scratch.
How to Choose the Right AI Voice Agents for Sales Calls
The right choice mostly comes down to how much engineering time you have and how much conversation quality matters relative to cost. Developer teams comfortable stitching together their own stack tend to land on Retell AI or Vapi, both of which reward the extra setup time with lower latency and more control. Teams that want a plug and play, sales-specific tool should look at Regal or Aloware first, especially if they are already inside a supported CRM. If you just want to test whether AI voice agents for sales calls work for your use case before committing budget, ElevenLabs’ free tier is the cheapest way to find out, and it is worth running the same call script across two or three of these platforms before signing an annual contract. For a broader look at where AI fits into a lean marketing stack, see our roundup of 14 AI tools solo marketers are using to replace entire teams.