Best AI Voice Agents for Sales (2026): Top 9 Compared

JustCall is a cloud phone system and sales dialer, and its AI Voice Agent runs inside that platform rather than as a separate tool. JustCall describes two sales configurations. The outbound agent calls a lead when a form is submitted, an opportunity moves or a customer goes quiet, and the company states it can place that call within 60 seconds. The AI SDR configuration answers inbound calls, qualifies callers against criteria such as budget, authority, need and timeline, offers slots from reps' calendars and books the meeting on the call.

Setup is described as plain-language instructions: the buyer states the role, the questions to ask and the escalation rule. Outcomes, summaries and next steps sync to Salesforce, HubSpot, Pipedrive and other CRMs, and the agent can send an SMS, transfer the call or create a task at the end of a conversation. A help centre article explains how to forward Sales Dialer campaign callbacks to the voice agent.

JustCall is explicit about consent. Its outbound page states that the agent calls only opted-in contacts and that outbound AI calling should not be used for purchased lists. Teams that want AI cold calling will need a different product and legal advice.

Aloware is a contact center and power dialer platform aimed at sales and support teams, and AloAi is its layer of AI features. The AloAi Voice Agent is a no-code agent that runs natively on the Aloware platform, so it uses the same numbers, routing and CRM sync as human reps.

Aloware describes three sales uses. For speed to lead, the agent calls a lead as soon as a form is submitted or a call to action is clicked. As an overflow handler, it sits behind the main lines and picks up when human agents are busy or offline, logs the caller's need and urgency to the CRM and qualifies the lead. As an AI receptionist, it schedules callbacks while the caller is still on the line.

The product site offers demo agents by industry, including legal, insurance, healthcare, finance, e-commerce, car dealerships, real estate, recruitment and home services, and each will call a visitor who submits a number. That list shows where Aloware sees its buyers: local and consumer-facing businesses that live on inbound leads. The pricing page includes a cost-per-minute estimator and an ROI calculator. Human-agent plans include unlimited agent minutes and texts in the US and Canada.

Convoso has sold outbound contact center software since 2006, and its dialer is used mainly by high-volume sales and lead generation teams. The Voice AI Agent is its purpose-built qualification agent. Convoso describes it as working through a qualification script, asking screening questions, handling objections and then routing or dispositioning the lead based on the answers, with sales-ready prospects handed to human sellers.

Convoso states that the agent was trained on 20 million sales conversations, offers a choice of LLMs alongside a proprietary model and targets a 600ms response time to avoid the pause that prompts hang-ups. If the primary model fails during a call, a fallback chain moves the conversation to a backup model. The platform is self-hosted, so call traffic and data can stay in the customer's own environment.

The main constraint is scope. Convoso's FAQ says the agent currently integrates specifically with the Convoso Dialer Platform over SIP and RTP. Teams already on Convoso can add it with mostly scripting work, and Convoso suggests a first agent can be live in under an hour. Teams on another dialer would need to adopt Convoso first. Convoso also sells Voso.ai, an earlier virtual agent for SMS and voice appointment setting.

Bland AI builds voice agents on infrastructure it runs itself, and it markets outbound sales as one of its main solutions. The outbound sales page describes the full first-touch sequence: the agent fires when a form, CRM or ad platform sends a webhook, runs the buyer's qualification script, handles objections through branching conversation logic, checks rep availability, books the meeting and warm-transfers hot prospects with context. Between calls it can continue the thread by SMS.

Compliance controls are presented as part of the product. Required disclosures are read on-script and logged, and calling windows, frequency limits, consent rules and do-not-call lists are configurable. Bland cites insurance customers, including Kin Insurance and MyPlanAdvocate, as sales qualification references.

For larger programmes, Bland builds the first agent end to end on a stated 30-day path from scoping to production. Self-serve plans are different: the Start plan allows 100 calls a day and 10 concurrent calls, while Scale allows 5,000 a day and 100 concurrent calls. Buyers comparing Bland with developer platforms should note its claim that the per-minute rate already includes model and speech costs, which developer platforms often bill separately.

Vodex sells generative AI voice agents for outbound engagement, and its homepage lists reminders, collections, follow-ups, qualification and payment negotiation as core tasks. Lead qualification appears in its BPO, insurance and mortgage use cases. The agent screens leads with an initial qualification call, gathers details such as eligibility or basic financial information and passes only suitable prospects to human agents, around the clock and across time zones.

Operational features matter for outbound work. If a call goes unanswered, Vodex redials at set intervals, and its pricing counts only connected minutes. The Standard plan adds prebuilt agent templates, campaign analytics and API access on request. Premium adds function calling, an Ask AI feature and priority support, and Enterprise adds multi-agent workflows, SLAs, an account manager and custom integrations.

Vodex has recently launched DROS, a separate operating system for collections teams, and much of its site content concerns debt recovery. Sales buyers should confirm that the qualification templates and CRM integrations they need are current, and should ask whether setup costs apply to their integration before comparing monthly totals.

Regal describes itself as a voice AI agent platform built by contact center operators. Its homepage lists lead qualification beside support, scheduling, collections and bookings, and it shows a financial services agent qualifying a homeowner seeking a loan and booking time with a human, and a home insurance agent qualifying a caller before connecting a licensed agent.

For outbound sales, Regal describes agents that reach every lead as soon as interest appears, cutting speed to lead and handling routine qualification so human reps can focus on prospects most likely to convert. Customer data drives the conversation, and event-based workflows keep records in sync so a customer does not repeat the story when passed to a person. AI and human calls run in a single interface with built-in IVR and routing, and teams can refine agents through A/B tests, simulations and suggested changes.

Regal is explicit about fit. Its pricing FAQ says the product works with enterprise companies and names at least 25 agents and 100,000 call minutes a month as a good proxy. Smaller teams are likely to find self-serve products on this page easier to start with.

11x sells AI digital workers for go-to-market teams, and Julian is its phone rep. 11x positions Julian as an inbound sales agent that turns leads into qualified pipeline. On the website, Julian answers questions through a chat widget and books a rep before a form is submitted. When a prospect does fill in a contact sales form, Julian calls back within 60 seconds and can continue on SMS, email and WhatsApp.

Qualification is configured once against the buyer's ideal customer profile and then applied to every conversation, with scores drawn from enrichment signals, engagement history and what the prospect says on the call. Qualified leads are routed to the right rep through 11x's built-in router or an existing tool such as Chili Piper, and meetings are booked straight into reps' calendars. Every outcome syncs bi-directionally with Salesforce or HubSpot.

Julian also handles follow-up. Leads who do not answer receive timed attempts on other channels, no-shows are re-engaged and dormant CRM contacts can be resurfaced. 11x describes outbound use as consented outbound, so Julian is not presented as a cold calling tool. Its sibling product, Alice, covers outbound email prospecting.

Murf is best known for text-to-speech and voiceover software, and it now sells AI voice agents built on its speech technology. The AI SDR is its sales configuration. Murf describes it doing pre-lead qualification with discovery questions against the buyer's own criteria, following up instantly when a prospect fills in a form, requests pricing or downloads a high-intent asset, and running outbound calls for lead reactivation, event and webinar follow-up, trial nudges and appointment setting.

The agent answers approved questions on pricing, plans, integrations, security and next steps, handles objections and escalates qualified prospects to the sales team. Demo booking checks calendar availability, confirms details and sends confirmation through the connected calendar, CRM, email or SMS. Every conversation is logged with summaries and qualification details for review.

Voice quality is Murf's natural strength. It offers more than 200 voices across 35 or more languages, handles regional accents and can clone a brand voice. Murf also states that it handles setup, call flows, integrations and optimisation. Buyers should ask how pricing is structured, since Murf's public price list covers its voiceover product rather than agents.

SquadStack sells what it calls outcome-driven voice AI agents for sales in India. Its site presents sample calls from live campaigns: personal loan and credit card sales, demat account opening, policy renewals, gold loan and education lead qualification, e-commerce buyer qualification and real estate leads, in Hindi, Hinglish, English, Tamil, Telugu, Marathi, Kannada and other languages.

The product is a bundle rather than a bare agent. Each deployment includes the voice agent, a trained pod of human advisors for hand-offs and complex calls, an AI lead manager for routing, retries and follow-up sequences, continuous A/B testing of prompts and flows, quality audits on every call against 23 parameters, two-way CRM sync and a named customer success manager. SquadStack states that compliance with Indian financial regulators is built in.

Pricing follows the same service model. The company bills per minute only while the AI is on a live call, arguing that per-seat and per-conversation models charge for idle capacity and voicemails. Engagements start with a 90-day pilot on one use case. The fit is strongest for high-volume consumer sales in India; B2B teams in other regions will find its language and compliance focus less relevant.