Best AI Voice Assistants (2026): Top 10 Compared

Smith.ai is a managed front-desk service that combines AI answering with a staffed contact centre. The company positions three configurations: an AI Receptionist that handles intake, qualification, routing and data lookup on its own; Live Receptionists, described on the site as more than 500 North American agents available around the clock; and a hybrid arrangement in which the AI takes the call first and hands off to a person when the conversation needs judgement. Smith.ai states it serves over 5,000 businesses, with law firms making up roughly 80 percent of the customer base, alongside home services contractors, dental and healthcare practices, managed service providers and marketing agencies.

Capabilities extend past answering. The service books appointments, records and transcribes calls, collects payments, answers in English and Spanish, and writes call outcomes back into business systems. Smith.ai advertises connections to more than 7,000 business tools, with named practice-management and CRM integrations including Clio, Lawmatics, HubSpot, Salesforce and ServiceTitan, so intake data lands in the system of record without manual re-entry. There is no hardware requirement; calls are forwarded from the existing business number.

Pricing is published per call rather than per minute or per seat. The Starter plan covers 30 calls at $300 per month, Basic covers 90 calls at $810 per month, and Pro covers 300 calls at $2,100 per month, with an Enterprise tier quoted on request. Overage rates fall as volume rises, at $11.50 per call on Starter, $10.50 on Basic and $8.50 on Pro. That structure suits professional-services firms where a single captured matter is worth far more than the call fee.

The fit is weakest for businesses with heavy, low-value call volume, where per-call economics become expensive quickly, and for teams that want a self-serve product they configure themselves for under $100 a month. Buyers who need a person on the line for escalations, however, get coverage that pure software assistants cannot match.

Goodcall is a self-serve voice assistant platform for inbound business calls. Agents are configured by pointing the system at existing knowledge sources such as a website, a Google Business listing and basic company details, which removes most of the scripting work associated with older interactive voice response systems. The company reports more than 50,000 agents launched, coverage across 306 local area codes and over 60 million voice interactions handled, and it markets to a wide range of buyers, from single-operator businesses to companies running in-house call centres.

The assistant answers customer service and sales calls, books appointments against a connected calendar or CRM, captures lead details and distributes them by SMS, email, Google Sheets or CRM record, and escalates to a human when a request falls outside its scope. Administrators control greetings, response wording, escalation logic and how the agent behaves when it cannot answer. An analytics view reports automation rate, call duration and caller behaviour. Integration is available through Zapier, and existing business numbers can be forwarded rather than replaced.

Pricing is per agent and published in full. Starter is $79 per month, Growth is $129 per month and Scale is $249 per month, with an Enterprise tier quoted separately. Annual billing reduces those figures to $66, $108 and $208 per month respectively, a 15 percent discount. All three tiers include unlimited minutes and tokens. The real limits are elsewhere: Starter allows one logic flow, three team members, three directory contacts, seven days of call history and 100 unique customers a month; Scale raises those to 25 logic flows, 50 team members, 500 directory contacts, unlimited history and 500 unique customers. Additional unique customers cost $0.50 each on every tier.

Goodcall fits businesses with steady inbound volume from a repeating local customer base, where unlimited minutes are worth more than unlimited contacts. Companies with very large one-time caller populations should model the $0.50 per-customer charge before committing.

PolyAI Ltd. builds voice assistants for large customer-facing operations, describing its offering as an agentic dialog platform for building, running, adapting and governing dialog agents at scale. The company promotes a proprietary frontier dialog model, Dialog-RSN-1, and states that its Raven model was trained on more than a billion enterprise conversations. The emphasis throughout is on full-stack dialog agents rather than scripted chatbots, with the assistant expected to carry a complete conversation over the phone rather than deflect to a menu.

Two build paths are offered: Poly Agent Builder for non-technical operations teams, and an agent development kit for engineering teams that need programmatic control. The platform covers phone and chat channels, maintains a consistent brand voice across languages, and provides real-time analytics and conversation insight tooling. Compliance coverage spans SOC 2, HIPAA, GDPR and PCI DSS, which is the practical entry requirement in the sectors PolyAI targets: healthcare, financial services, insurance, hospitality, retail, telecoms and utilities. Named customers on the site include PG&E, UniCredit, Howard Brown Health and Fogo de Chão. Published use cases include fraud detection, outage management and multilingual dispute handling.

Pricing is quote-based. The vendor's pricing page publishes no plan names or rates and instead describes the commercial model: ongoing use of a voice agent is billed per minute, and that rate includes proactive performance improvements, maintenance and 24/7 support. Every engagement carries the same baseline commitments, including a 99.9 percent uptime service level, system monitoring and automatic feature updates. Buyers request a demo to obtain figures.

PolyAI suits organisations with call volumes large enough that a fraction of a percentage point in containment rate justifies a managed deployment, and with security review processes that a self-serve tool would fail. It is a poor fit for a small business that wants a working assistant the same afternoon for under $100 a month.

Rosie is an AI call answering service aimed squarely at small businesses and solo operators who cannot reliably pick up the phone. The vendor lists home services, plumbing, construction, law firms, real estate, salons and automotive shops among its target trades. The assistant answers inbound calls 24 hours a day, provides business information, responds to frequently asked questions, takes messages with question sets that vary by call type, filters robocalls and sales calls, and books appointments either directly into a connected calendar or by texting a scheduling link to the caller.

Every call produces a summary, a transcript and a recording, which gives owners a reviewable record rather than a voicemail backlog. Calls can be routed to the right team member when a human is required. Answering is available in English and Spanish. An AI chat widget for the company website is included free of charge, so the same knowledge base serves both phone and web enquiries. Integration is handled through Zapier, which the vendor says reaches more than 1,000 applications, and CRM connectivity runs through that path. Native iOS and Android apps let owners review activity away from a desk.

Pricing is published as three minute-based tiers. Professional costs $49 per month and includes 250 minutes; Scale costs $149 per month for 1,000 minutes and is marked most popular; Growth costs $299 per month for 2,000 minutes. A website texting add-on costs $50 per month, covering 25 conversations with additional conversations at $1 each. Overage rates for the core minute allowances are not stated on the pricing page, which buyers with variable volume should clarify before signing.

Rosie is the strongest option for a very small operation testing whether an AI assistant recovers enough missed revenue to justify the spend. Businesses needing native, deep CRM writeback or a human escalation tier will find it thinner than the managed services above it.

Slang.ai is a voice assistant built for a single industry. It answers restaurant phone lines, responds to guest questions, manages reservations and remains available outside service hours. The narrow focus shows in the feature set: rather than a general call-handling script, the product understands reservation intent, collects special requests, routes VIP callers to staff or a concierge, and can suggest availability at a nearby location within the same restaurant group when the requested site is full. Escalation to a staff member happens automatically when the assistant cannot resolve a request.

Reservation platform integration is the core of the offering, with official partnerships listed for OpenTable, SevenRooms, Tripleseat and Yelp. Operators get call recordings, summaries and reservation insight reporting, smart alerts on high-priority topics, and customer satisfaction measurement on handled calls. The vendor states that setup takes under 30 minutes and cites outcomes including up to 50 percent more phone covers, more than 200 hours saved per month and guest satisfaction above 96 percent. Those are vendor figures rather than independently audited results.

Pricing is published per location. Core starts at $399 per location and covers reservation management, text links and confirmations, call recordings and summaries, the full reservation integration set, VIP call handling, special-request collection and CSAT measurement. Premium starts at $599 per location and adds custom branding, reservation cross-selling, real-time alerts, AI-powered direct text, enterprise insights, Spanish bilingual support and a tagging-based smart inbox. An Enterprise tier quotes custom workflows, custom integrations, reporting dashboards, MFA and SSO, and dedicated support. Canadian pricing is listed at $379 and $539.

The product suits reservation-driven restaurants and hospitality groups where phone bookings still carry meaningful revenue. Any buyer outside that vertical should look at a general-purpose assistant, since the reservation-specific logic is the whole value proposition.

Sameday is a voice assistant and phone system built for home service trades. The vendor lists HVAC, plumbing, electrical, roofing, solar, pest control, landscaping, locksmith, garage door, commercial cleaning and window cleaning among the businesses it serves, and states that nearly 2,000 service companies use the platform. The product combines AI customer service representatives with the underlying telephony, so a company can port an existing number or take a new one rather than layering an assistant on top of a separate phone provider.

The assistant answers inbound calls and handles outbound follow-up, covers after-hours and overflow volume, and texts customers who do not answer. Booking is the central workflow: agents place jobs directly into the calendar and CRM, handle rescheduling, log customer communication and update dispatch boards in real time. Automated campaigns target dormant customers for win-back, with human approval required before sensitive messages are sent. A coaching layer analyses every conversation against the business's own playbook, scoring calls and producing per-representative feedback with sentiment analysis. Integrations cover field service platforms including ServiceTitan, Housecall Pro, Acculynx and Job Nimbus, plus lead sources such as Google Local Services, Thumbtack, Angi and Facebook. The vendor reports more than 4 million calls answered, a 92 percent booking rate and 96 percent customer satisfaction.

Two plans are published. Launch costs $449 per month and includes 500 minutes, unlimited users, three locations, a customisable AI agent and scheduling integration. Scale costs $789 per month and includes 1,000 minutes, unlimited users, unlimited locations, voice cloning and the same scheduling integration. An Enterprise tier is quoted on request and adds multilingual voices, advanced analytics, hands-on training, API access and custom integrations.

Sameday makes sense for a multi-truck home services operation already running one of the supported CRMs, where a booked job covers the monthly fee several times over. It is expensive for a single-operator business.

Lindy is a general-purpose agent platform on which voice is one capability among several. Rather than shipping a fixed receptionist product, it lets a team assemble assistants that answer phone calls, then continue the work afterwards across email, calendars, CRM records and other connected systems. That makes it the natural choice for buyers whose requirement is not only call answering but the follow-up chain that a call triggers, such as qualifying a lead, drafting an outbound message, updating a record and scheduling a task.

The trade-off is configuration effort. Dedicated receptionist tools ship with call-handling behaviour, spam filtering and booking flows already defined; Lindy expects the buyer to define them. In exchange, the same platform handles automations that a receptionist product cannot reach, and a single agent definition can span voice and non-voice channels rather than requiring two separate vendors. Buyers evaluating Lindy should budget setup time and treat it as an automation platform purchase rather than a phone service purchase.

Pricing is per user per month with a monthly credit allowance. Plus costs $29.99 per user and includes 3,000 credits per user per month. Pro costs $99.99 per user for 15,000 credits. Max costs $199.99 per user for 35,000 credits. An Enterprise tier is quoted on request and adds HIPAA compliance, a signed business associate agreement, shared usage with bonus credits, dedicated support, audit logs and onboarding assistance. Credits refresh each month and do not roll over, so unused allowance is lost, and voice minutes consume credits alongside every other agent action. Annual pricing is not published.

Lindy fits operations and revenue teams that want one automation layer covering voice and everything downstream of it. A business whose sole requirement is answering the phone reliably will get there faster, and usually cheaper, with a purpose-built receptionist product.

Synthflow describes itself as an enterprise voice AI operating system for automating phone conversations at scale, covering both inbound and outbound calling. The platform is differentiated on infrastructure ownership: the vendor states it operates its own telephony rather than reselling a third party's, and quotes sub-100 millisecond latency alongside a 99.99 percent uptime commitment. Agents are assembled in a visual flow designer with multi-agent architecture for complex call logic, and the platform extends across voice, SMS and chat.

Operational tooling is a large part of the offering. An AI sandbox allows simulated testing against defined key performance indicators before an agent goes live, real-time monitoring and automated quality assurance analyse calls in production, and past conversations can be used to fine-tune agent behaviour over time. The vendor documents this lifecycle as a four-stage framework covering build, evaluate, launch and learn, supported by forward-deployed engineers during rollout. More than 200 integrations are listed, spanning CRMs such as HubSpot and Salesforce, scheduling through Cal.com, workflow automation through Zapier, and enterprise telephony estates including Cisco, Avaya, Genesys and RingCentral. Target sectors include business process outsourcing and contact centres, healthcare, financial services and insurance, retail, real estate, technology consulting and telecoms.

Pricing is quote-based and gated. The pricing page publishes no tiers or per-minute rates; it states that enterprise contracts start at $30,000 annually and that final pricing is scoped around call volume, concurrency, telephony setup, integrations, security requirements and launch support. There is no published self-serve plan.

That floor defines the buyer. Synthflow suits organisations replacing or augmenting an existing contact centre, where integration with legacy telephony and a formal testing process matter more than list price. Small and mid-sized businesses evaluating a receptionist assistant will find equivalent call-answering capability elsewhere for a fraction of the annual commitment.

Dialzara is an AI phone answering service for small businesses, built around an inbound receptionist and supplemented by outbound voice agents, a two-way SMS agent and an embeddable website chatbot. The vendor lists healthcare, insurance, home services, legal and tax services among its customer industries. The assistant answers calls in a configured business voice, books appointments directly into a connected calendar, emails detailed call summaries, screens spam and qualifies leads, and handles unlimited simultaneous calls around the clock, which removes the busy-signal problem that affects small teams during peak periods.

Setup does not require new hardware. Dialzara works with an existing business phone system and number, and agent knowledge is built from uploaded training documents, past call recordings and website URLs rather than manual script authoring. Calendar integration supports the booking flow. Beyond that, the vendor documents its third-party integration surface less thoroughly than competitors, so buyers dependent on a specific CRM should confirm coverage before committing.

Pricing is published as four inbound tiers with disclosed overage. Business Lite costs $29 per month for 60 minutes, with additional minutes at $0.48. Business Pro costs $99 per month for 220 minutes at $0.45 overage. Business Plus costs $199 per month for 500 minutes at $0.40. Business Elite costs $349 per month for 1,000 minutes at $0.35. There are no setup fees, and inbound voice plans carry a seven-day free trial. Adjacent products are priced separately: the SMS agent costs $19 per month plus $0.05 per AI message, the standalone website chatbot costs $39 per month, and outbound voice plans range from $750 to $1,500 per month covering 1,500 to 3,000 contacts. Annual pricing is not listed.

Dialzara is the cheapest way to trial AI answering, but the 60-minute entry allowance is consumed quickly, so realistic budgeting starts at the $99 tier.

Frontdesk, operated by AI Front Desk, Inc. and still widely known by its earlier name My AI Front Desk, is a multichannel customer platform rather than a phone-only assistant. A single AI agent handles voice calls, text messages, email, web chat and WhatsApp, with the vendor describing the goal as answering, qualifying, booking and following up with every customer across the journey. That breadth is unusual at the price point and is the main reason a very small business would choose it over a dedicated receptionist tool.

Core capabilities include 24-hour call answering and appointment booking, a website chatbot, an SMS texting agent, calendar integration, lead qualification and follow-up automation, structured data extraction from conversations, and customer memory that persists across channels so a caller who previously used web chat is not treated as a stranger. A built-in AI-native CRM stores that record, which removes the need for a separate CRM subscription in a one- or two-person operation, though larger teams will already have a system of record and will want to check how cleanly data moves out of it.

Pricing has an important structural quirk. The Basic plan costs $20 per month, or $16 per month billed annually, and provides full platform access for evaluation but includes zero voice minutes, meaning it does not answer calls at all. Business-in-a-Box costs $99 per month, or $79 per month billed annually, includes 200 voice minutes and is described by the vendor as the plan that answers calls; it bundles web chat, two-way SMS, the AI-native CRM and sequence automations. A partner and enterprise tier is quoted on request, with volume-based voice rates the vendor says can fall as low as seven credits per minute.

Buyers should treat $99 as the real entry price. At 200 included minutes, businesses with meaningful call volume will move quickly into usage charges.