Poly AI vs Regal AI: Who wins in 2025?

Poly AI - a quick overview

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Founded in London in 2017 by Nikola Mrkšić (CEO), Tsung-Hsien Wen (CTO), and Pei-Hao Su (Engineering Director), PolyAI is revolutionizing customer service with AI-powered voice assistants. The three founders met at Cambridge University's dialog systems group and brought experience from tech giants Apple, Google, and Facebook to create hyper-realistic conversational AI that answers phones 24/7 for enterprise clients like Marriott, FedEx, and Caesars Entertainment.[1][4][5]

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Now valued at nearly $500 million after a $50 million funding round led by Hedosophia and NVentures (Nvidia's VC arm) in 2024, PolyAI has expanded to over 200 employees across offices in London, New York, San Francisco, and Belgrade. While maintaining its UK presence, the company's future is "predominantly American" with 70% of revenue coming from US clients. PolyAI's mission is clear: empowering businesses to deliver exceptional customer experiences through voice-first technology that eliminates frustrating customer service interactions.[2][5][6]

Poly AI's features

• Advanced Voice Assistants
  Poly AI delivers highly natural, human-like voice assistants that can handle over 50% of customer inquiries, including authentication, order management, billing, and reservations. These agents excel at free-flowing conversations where customers can interrupt or change topics without breaking the experience. While this conversational flexibility is impressive and often more advanced than Regal AI’s scripted flows, Ringly.io matches this with equally lifelike voices but adds deeper e-commerce specialization[1][8].
• Seamless Integration with Existing Tech Stacks
  Poly AI integrates smoothly into enterprise environments by connecting to existing systems for real-time data access and workflow automation. This is similar to Regal AI’s integration capabilities but less plug-and-play than Ringly.io’s no-code connections via Zapier or Make.com—making Ringly.io easier for non-technical users to deploy quickly[2][6].
• Customizable Branded Personalities
  Businesses using Poly AI can design custom voice personas aligned with their brand identity. This helps create a consistent customer experience across channels—a feature also offered by Regal AI and Ringly.io; however, Ringly.io stands out by letting users tweak not just the voice but also call flow logic without technical skills[2][6].
• Real-Time Analytics Dashboard
  Poly AI provides dashboards showing live call metrics and conversation outcomes so businesses can monitor performance instantly. While Regal offers analytics as well, Poly’s focus on actionable insights is strong—but it lacks the granular mood analysis and improvement suggestions found in Ringly.io’s dashboard[2][1].
• Pre-Trained on Billions of Conversations
  The platform leverages massive datasets for pre-training its models—enabling rapid deployment without extensive manual training. This reduces setup time compared to some competitors like Regal; however, it doesn’t offer daily auto-updating knowledge from your website like Ringly.io does (which ensures answers are always current)[8][1].
• Focus on Voice Interactions
  PolyAI specializes in phone-based interactions rather than multi-channel support (like chat or email). For businesses prioritizing phone support quality above all else—this focus pays off. However, if you need omnichannel coverage or SMS follow-ups during calls (as provided natively by Ringly.io), you may find PolyAI limiting in scope[8][6].
• Automated Call Handling & Transfers
  The system automates routine calls efficiently—including smart transfers when escalation is needed. While both PolyAI and Regal offer automated routing based on triggers or intent detection, only platforms like Ringly.io provide detailed transfer context summaries so your team always knows why a call was handed off[1][6].

In summary: PolyAI excels at delivering natural-sounding automated phone agents that integrate well into complex enterprise stacks—with robust analytics and customization options rivaling any competitor in pure conversational quality. However, if you want instant setup for e-commerce use-cases (cart recovery/abandonment), real-time order status checks tied directly to your store platform out-of-the-box—or more flexible integrations requiring no code—Ringly.io offers these advantages while maintaining best-in-class voice realism and ease of use[1][7].

Poly AI Pros and Cons

We studied dozens of reviews from real Poly AI users from platforms like G2, Capterra, and TrustRadius. Then we identified commonalities and summarized the main pros and cons of Poly AI based on real user feedback for you here:

Pros

• Exceptional voice quality – Users consistently praise Poly AI’s lifelike, human-sounding voice that avoids the robotic feel common in other solutions.
• Highly effective call automation – Many reviewers highlight significant reductions in manual call handling, freeing up staff to focus on higher-value tasks.
• Easy integration – Customers report seamless API integrations with existing software systems, making deployment straightforward.
• User-friendly interface – The platform is described as simple to use and easy for teams to adopt quickly.
• Outstanding customer support – Multiple reviews commend the responsiveness and helpfulness of the support team throughout onboarding and ongoing use.
• Consistent performance & reliability – Users note high uptime (24/7 operation) with a 100% call answering rate in some cases, ensuring no missed calls even during off-hours or staffing shortages.
• Tangible ROI & operational savings – Organizations mention measurable improvements such as reduced wait times for customers, lower FTE requirements (staffing costs), and improved guest experience metrics.

Cons

• Limited advanced analytics out-of-the-box – Several users wish for more robust voice analytics features to better analyze customer interactions with the assistant; current reporting may not meet all needs for deep insights or optimization opportunities.
• Occasional challenges with complex scenarios – While routine queries are handled well, some complex or nuanced conversations can still trip up the system or require escalation to humans.
• Public acceptance hurdles – Some feedback notes that certain customers are hesitant about interacting with an AI assistant over traditional human agents; this can impact perceived service quality among less tech-savvy audiences.
• Customization requires collaboration — Building bespoke solutions often involves close work with PolyAI’s team rather than self-service configuration; this could slow down rapid iteration compared to more flexible platforms.
• Cost considerations — While not widely cited as a con in public reviews so far, enterprise-grade conversational AI like PolyAI typically comes at a premium price point. For smaller businesses or those needing only basic automation features, this could be a barrier.

When considering Ringly.io alongside these points: if your organization values deeper analytics out-of-the-box or prefers greater self-service customization without heavy vendor involvement—or if you’re seeking broader public acceptance through multi-channel engagement—these are areas where Ringly.io may offer distinct advantages over typical drawbacks seen in user feedback about PolyAI.

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Regal AI - a quick overview

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Regal AI, founded in 2020 and based in Manhattan, New York, is revolutionizing customer communications with its AI Agent Platform. Co-founded by Alex Levin and Rebecca, the company aims to transform how businesses interact with customers by providing AI-powered contact center solutions. Regal's platform empowers enterprises to deliver personalized customer experiences through AI agents that can handle complex conversations naturally, ensuring high-quality interactions across multiple channels.

Regal AI targets the contact center market, offering solutions for both human agents and autonomous AI agents. The company has raised significant funding, totaling $82.1 million, to further develop its AI-first approach. Millions of consumers engage with Regal's AI agents each month, driving substantial revenue for its clients.

In the following section, we'll explore Regal AI's features, pros and cons, pricing, and user reviews, comparing them with Poly AI and Ringly.io to help you decide which platform best suits your business needs.

Regal AI's features

• AI-Powered Outbound Calling – Regal AI specializes in proactive outbound calling, using AI agents to reach out to leads and customers at scale. This is ideal for sales follow-ups, appointment reminders, or re-engagement campaigns where timely human-like calls can boost conversion rates. While Poly AI focuses more on inbound customer service and natural conversation quality, Regal’s strength lies in driving action through outbound engagement—a use-case Ringly.io also covers but with added e-commerce automations.
• Dynamic Scripting & Personalization – The platform enables dynamic call scripts that adapt based on real-time customer responses. This allows for highly personalized conversations tailored to each recipient’s context or purchase history. Poly AI offers branded personalities and conversational flexibility, but Regal emphasizes script-driven outcomes for sales-centric workflows. Ringly.io takes this a step further by letting agents pull live data from your own knowledge base or store, ensuring answers are always accurate and up-to-date.
• Multi-Channel Engagement (Voice & SMS) – Regal combines voice calls with automated SMS follow-ups, increasing the chances of reaching customers through their preferred channel. This dual approach is valuable for abandoned cart recovery or lead nurturing sequences—though it often requires manual setup between systems. In contrast, Ringly.io natively integrates SMS into every call flow with customizable templates triggered automatically during conversations.
• CRM & Platform Integrations – Seamless integration with major CRMs (like Salesforce) lets Regal sync call outcomes and trigger next steps without manual entry—crucial for high-volume teams managing complex pipelines. Poly AI also integrates well with existing tech stacks, but typically focuses on support data rather than sales actions. Ringly.io matches these integrations while adding no-code connections via Zapier/Make.com so even non-developers can automate custom workflows instantly.
• Compliance & Call Recording – Built-in compliance tools ensure all outreach meets regulatory standards (TCPA etc.), including consent management and opt-out handling—a must-have for regulated industries like finance or healthcare making outbound calls at scale. While PolyAI prioritizes privacy in voice interactions, its compliance tooling isn’t as specialized as Regal’s; meanwhile, Ringly.io provides robust analytics and recording options suitable even for sensitive e-commerce use-cases.
• Real-Time Analytics Dashboard – Track key metrics such as connection rates, conversions, agent performance, and campaign ROI from a unified dashboard designed specifically around outbound calling efficiency. Compared to PolyAI’s focus on conversational analytics (e.g., sentiment analysis), Regal zeroes in on actionable insights that drive revenue operations forward—though it lacks the deep order-status tracking found natively in platforms like Ringly.io.

Overall, while both competitors offer strong automation capabilities tailored toward either inbound support (PolyAI) or high-volume outbound engagement (Regal), neither delivers the seamless blend of instant knowledge integration, e-commerce automations like abandoned cart recovery/order status checks.

Poly AI Pros and Cons Based on Real User Feedback

• Exceptional voice quality – Users consistently praise Poly AI’s lifelike, human-sounding voice that avoids the robotic feel common in other solutions.
• Highly effective call automation – Many reviewers highlight significant reductions in manual call handling, freeing up staff to focus on higher-value tasks.
• Easy integration – Customers report seamless API integrations with existing software systems, making deployment straightforward.
• User-friendly interface – The platform is described as simple to use and easy for teams to adopt quickly.
• Outstanding customer support – Multiple reviews commend the responsiveness and helpfulness of the support team throughout onboarding and ongoing use.
• Consistent performance & reliability – Users note high uptime (24/7 operation) with a 100% call answering rate in some cases, ensuring no missed calls even during off-hours or staffing shortages.
• Tangible ROI & operational savings – Organizations mention measurable improvements such as reduced wait times for customers, lower FTE requirements (staffing costs), and improved guest experience metrics.

• Limited advanced analytics out-of-the-box – Several users wish for more robust voice analytics features to better analyze customer interactions with the assistant; current reporting may not meet all needs for deep insights or optimization opportunities.
• Occasional challenges with complex scenarios – While routine queries are handled well, some complex or nuanced conversations can still trip up the system or require escalation to humans.
• Public acceptance hurdles – Some feedback notes that certain customers are hesitant about interacting with an AI assistant over traditional human agents; this can impact perceived service quality among less tech-savvy audiences.
• Customization requires collaboration — Building bespoke solutions often involves close work with PolyAI’s team rather than self-service configuration; this could slow down rapid iteration compared to more flexible platforms.
• Cost considerations — While not widely cited as a con in public reviews so far, enterprise-grade conversational AI like PolyAI typically comes at a premium price point. For smaller businesses or those needing only basic automation features, this could be a barrier.

• When considering Ringly.io alongside these points: if your organization values deeper analytics out-of-the-box or prefers greater self-service customization without heavy vendor involvement—or if you’re seeking broader public acceptance through multi-channel engagement—these are areas where Ringly.io may offer distinct advantages over typical drawbacks seen in user feedback about PolyAI.

Pricing - Poly AI vs Regal AI

Note: The pricing information below is accurate at the time of writing and may be subject to change. For the most up-to-date pricing, please visit each company's pricing page.

Poly AI pricing

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Regal AI pricing

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Ringly.io pricing

Ringly.io delivers the perfect balance of affordability and features. Unlike competitors who force you into expensive tiers, Ringly.io includes all core features even in its free plan. The simple, transparent pricing scales based on your actual usage, with no surprise fees.

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Online customer reviews: Poly AI vs Regal AI

Poly AI

Poly AI is a conversational AI platform known for its ability to automate client calls and provide human-like voice interactions. It has a presence on G2, but there are no reviews available on Capterra, Product Hunt, or Trustpilot.

Total Reviews on G2: 3

Average Rating on G2: 5/5

What users are saying about Poly AI:

"Exceptional capability" - Anonymous Reviewer. Poly AI is praised for its ability to automate client calls effectively, with a user-friendly interface and commendable customer support... The reviewer highlights the high-quality voice interactions that avoid a robotic tone.

"Minor improvements needed" - Anonymous Reviewer. While the experience was smooth, the reviewer suggests that adding voice analytics could enhance the analysis of customer requests, and notes that complex scenarios might pose slight challenges for Poly AI... This feedback indicates areas for future development.

Regal AI

Regal AI offers AI-driven solutions for optimizing operations, focusing on automation and efficiency. However, there are no online reviews available for Regal AI on platforms like G2, Capterra, Product Hunt, or Trustpilot.

What users are saying about Ringly.io:

Ringly.io is known for its simplicity, and a focus on e-commerce, with features like abandoned cart recovery and order status lookups. It has a 4.8 star rating from 12 reviews on Product Hunt and other platforms.

"it stands out significantly ahead" - Bertrand, Director. We are at the initial stage of testing and have made only a few calls so far. Consequently, I have rated the product with four stars for now. However, I must express that the product has shown significant promise. When compared to competitors, it stands out significantly ahead.

"This is such a great product" - Jim Miranda, Founder. This is such a great product. I have been with you for less than a week and already closed 3 deals with it."

"It really sounds like a human" - Laix, Founder. Tried Ringly.io today and the quality of the phone calls surprises me! It really sounds like a human, and it reacts really fast. Will need to deploy it in action to see the full capabilities.

"How to automate customer service? -> Ringly.io" - Sidra Husnain, Founder.

Poly AI vs Regal AI: Which is best for you?

Who Poly AI is best for…

• Large enterprises with high call volumes – If you run a big business (think hotels, airlines, banks, or telecoms) and need AI phone agents that sound almost human and can answer calls 24/7, Poly AI is a strong choice. Their system handles lots of routine requests, so your team can focus on more complex customer needs.
• Companies with complex tech stacks – Poly AI shines if your business already uses lots of software and you want your AI agents to connect smoothly into your current systems for live data access, order management, or billing.
• Brands needing highly custom voice experiences – If your brand voice and call flows need to be custom-built and you don’t mind working closely with Poly AI’s team, this platform gives you plenty of control and advanced setup options.
• Enterprise businesses with bigger budgets – Pricing is on the higher side, making it most suitable for organizations that can invest in premium automation and don’t need bottom-line pricing.

Who Regal AI is best for…

• Sales teams looking for outbound calling at scale – Regal AI stands out when you need automated phone outreach, like sales follow-ups, appointment reminders, or lead reactivation. Its AI agents do the heavy lifting for busy sales pipelines.
• Businesses needing multi-channel (voice + SMS) engagement – If you want to mix calls and texts in your outbound campaigns, Regal’s native voice and SMS automation can help you reach customers via their favorite channels.
• Companies focused on compliance and call recording – Regulated industries (like finance or healthcare) benefit from Regal’s built-in compliance tools and recording features for safe, trackable communication.
• Organizations wanting CRM-first integrations – Regal connects deeply with major CRM systems for sales, so bigger teams managing lots of leads or customers will find the integration and analytics helpful—though do expect custom pricing.

Who Ringly.io is best for…

• Businesses of any size (from solo founders to big teams) – With free and low-cost plans, Ringly.io is perfect whether you’re just starting out or already scaling fast. No minimum budget or complex contracts needed.
• E-commerce brands wanting fast, easy setup – If you want to recover abandoned carts, update customers on orders, or give instant product info through voice and SMS, Ringly.io gets you running quickly—no coding required.
• Teams who want self-service, no-code control – Anyone can customize their phone agents and call flows in minutes, without waiting for support or technical help.
• Anyone needing transparent, affordable pricing – With all features included (even on the free plan), usage-based billing, and a money-back guarantee, Ringly.io is low-risk, high-value for businesses that care about support cost, ROI, and flexibility.

In short: Ringly.io is the best “all-rounder.” It’s easy enough for small business owners, has powerful features for growing teams, and matches enterprise-level voice quality—plus it works right out of the box for e-commerce, support, and order management. With plans that grow as you do and fast setup, Ringly.io fits nearly every business looking to automate phone support, boost sales, and save time—without breaking the bank or getting stuck in long contracts.

Why Ringly.io is a Better Choice

Highly Rated: 4.8/5

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Founded in 2024 in Rotterdam, the Netherlands, by Maurizio Isendoorn and Ruben Boonzaaijer, Ringly.io is revolutionizing e-commerce customer service with AI phone agents.Designed for online businesses, Ringly handles customer calls on autopilot—solving support issues, recovering abandoned carts, and even boosting sales—at just 20% of the cost of human agents.‍

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With 1,300+ customers, Ringly.io is the go-to solution for e-commerce stores looking to scale without scaling their support team. With award-winning technology (BubbleCon 2024's "Most Innovative App"), Ringly.io transforms your phone system into a revenue-driving powerhouse—without the headaches of traditional call centers.‍

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Features that make Ringly.io the #1 alternative to Poly AI and Regal AI:

No-code setup, instant results – Ringly.io is ready to go in minutes. Just add your website, docs, or text—no engineering required—and your AI phone agent instantly understands your business. It even updates automatically as your website changes.‍‍‍

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AI-powered sales & support – Ringly.io does both inbound and outbound calls. Recover 35%+ of abandoned carts with automated follow-up calls, provide real-time order tracking from Shopify, and convert more customers with personalized AI-driven conversations—not just reactive support.‍‍

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Advanced analytics for smarter decisions – Ringly.io gives you real-time call data, customer intent tracking, and performance reports—helping you optimize support and sales strategies.‍‍‍

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Scalable pricing without enterprise contracts – Ringly.io offers transparent, scalable pricing—pay for what you use, no locked-in contracts.‍

Final Thoughts: Choosing the Right AI Phone Platform

Picking the best AI phone agent platform comes down to your business needs. Poly AI, Regal AI, and Ringly.io all bring something unique to the table—but the right choice should fit your goals, your budget, and how hands-on or self-serve you want things to be.

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• Poly AI: Go with Poly AI if you’re an enterprise with heavy inbound call volumes, complex integration needs, and want super natural-sounding phone agents to deliver white-glove support experiences—just know you’ll need a higher budget and may need ongoing vendor collaboration for customization.
• Regal AI: Regal AI is your match if high-volume outbound sales calls, built-in compliance, and multi-channel (voice + SMS) customer outreach are critical—especially if deep CRM integration and campaign tracking matter to your team.
• Ringly.io: For everyone from solo founders to growing e-commerce stores and even larger teams—Ringly.io is the all-around winner. It’s instant to set up, covers both sales and support, provides advanced analytics and no-code customization, all at a transparent, usage-based price with no long contracts.

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Why most businesses choose Ringly.io:

• All-in-one & easy to use: Set up in minutes, no developers needed, with a focus on automating both support and sales for e-commerce and more.
• Powerful, flexible features from day one: Get real-time analytics, abandoned cart recovery, order status lookups, and instant website knowledge—no premium tiers required.
• Affordable & risk-free: Transparent pricing means you only pay for what you use, with all core features included (even on the free plan). Plus, our 110% money-back guarantee makes getting started a no-brainer.

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In the end, Ringly.io brings you the best of both worlds: big-enterprise tech with small-business approachability. You’ll automate calls, boost sales, and delight customers—without the headaches, high costs, or slow setup that hold other platforms back.

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Ready to see the difference for yourself? Get started with Ringly.io for free and experience the future of AI phone agents—built for every business.

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Want to compare other players in the market? Check out our other comparisons:

• Poly AI vs Bland
• Poly AI vs Retell
• Poly AI vs Synthflow
• Poly AI alternatives
• Regal AI vs Bland