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Regal is an enterprise-grade AI Agent Platform that automates voice communications for sales, support, and operations. It deploys human-like AI agents that handle calls 24/7, improving business outcomes by increasing conversion rates, reducing costs, and enhancing customer satisfaction.

5.0
Added
2025-08-12
Price type:
Paid
Monthly traffic:
30.9K

Regal Overview

Regal is a sophisticated AI Agent Platform designed to revolutionize how enterprises engage with their customers through voice. It provides AI-powered agents that perform on par with, or even better than, human agents for a wide range of business-critical calls. By automating tasks like lead qualification, customer support, scheduling, and collections, Regal helps businesses scale their operations, reduce costs, and significantly improve efficiency. The platform is built for high-consideration industries such as financial services, healthcare, education, and e-commerce, where building trust and delivering personalized experiences is paramount.

The core of Regal's technology lies in its ability to create natural, human-like conversations. These AI agents can understand context, handle interruptions, and switch topics seamlessly, ensuring a positive customer experience. They operate with zero latency, eliminating frustrating hold times and providing immediate responses to customer inquiries, 24/7. This constant availability ensures that no lead is missed and every customer gets the attention they need, exactly when they need it.

How to use Regal

Getting started with Regal is a streamlined process designed for enterprise clients. First, you request a personalized demo and pricing consultation to tailor a solution to your specific needs. Once onboard, you can build and customize your AI agents using a user-friendly, drag-and-drop orchestration tool. These agents are then integrated seamlessly with your existing tech stack, including major CRMs and contact center software (CCaaS), thanks to over 40 native integrations and flexible APIs. You can set specific goals for each agent, deploy them across multiple channels (voice, SMS, webchat), and continuously refine their performance using the platform's native A/B testing capabilities to optimize outcomes.

Core Features of Regal

  • Human-like AI Voice Agents: Agents that can speak naturally in over 30 languages, understand nuances, handle interruptions, and maintain context for fluid conversations.
  • Omnichannel Deployment: Build an agent once and deploy it across voice calls, SMS/MMS, email, and webchat for a unified customer experience.
  • Conversation Intelligence: Gain deep insights from every call with real-time transcription, sentiment analysis, call summaries, and automated quality assurance.
  • Enterprise Integrations: Seamlessly connect with over 40+ platforms, including Salesforce, HubSpot, and major CCaaS solutions, as well as custom systems via APIs and webhooks.
  • A/B Testing & Optimization: Natively test different scripts, tones, and strategies to continuously improve agent performance and conversion rates.
  • 24/7 Availability: Automate calls around the clock to eliminate hold times, provide instant responses, and maximize speed-to-lead.
  • Enterprise-Grade Security: A secure and compliant platform designed for privacy, with agreements ensuring LLM partners do not train on or store your data.
  • Drag-and-Drop Orchestration: Easily build and modify complex call flows and customer journeys without requiring extensive technical resources.

Use Cases for Regal

Regal is versatile and can be applied across various industries and functions:

  • Lead Qualification: Automatically contact, qualify, and route leads in sectors like financial services, home services, and education, achieving up to 4x faster speed-to-lead.
  • Customer Support: Handle inbound support queries with high containment rates (up to 97%), resolving issues efficiently and routing complex cases to human agents.
  • Scheduling & Reminders: Automate appointment booking and pre-procedure reminders in healthcare, ensuring patients are prepared and reducing no-shows.
  • Collections & Retention: Proactively engage at-risk customers or manage payment collections with empathetic and persistent AI agents.
  • E-commerce & Hospitality: Act as a personal shopper or concierge, answering detailed questions about products or amenities to drive bookings and sales.
  • Upselling & Cross-selling: Identify opportunities during conversations to offer relevant add-ons, such as insurance for a moving service.

Advantages of Regal

Regal offers significant competitive advantages. It dramatically reduces the cost-to-serve by up to 80% while maintaining a high customer satisfaction (CSAT) score of over 90%. The platform's ability to provide zero-second answer times and 4x faster speed-to-lead directly translates to higher conversion rates and revenue growth. Unlike deterministic bots, Regal's AI agents are dynamic and can handle complex interactions, making them a scalable and effective alternative to human agents. They never get tired, lose patience, or call in sick, ensuring consistent, high-quality performance around the clock.

Pricing and Plans

Regal's pricing is customized for enterprise clients and is not publicly listed with fixed tiers. The model is based on usage, aligning the cost with the value and outcomes you achieve. Pricing factors include the specific features you use, call volume, and contract length, with discounts available for higher commitments. Regal is designed for larger organizations, typically those with at least 75 agents or handling over 150,000 calls per month. To get accurate pricing information, interested businesses need to fill out a form on the website to request a personalized demo and quote.

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Traffic

Latest traffic

Monthly visits30.9K
Avg visit duration0:28
Pages per visit1.70
Bounce rate39.4%

Status

Falling-15.0%vs previous month
Updated at 2026-06-11

Monthly traffic trend

  • 2025-9: 35.2K
  • 2026-1: 37.4K
  • 2026-2: 40.7K
  • 2026-3: 42.8K
  • 2026-4: 36.3K
  • 2026-5: 30.9K

Geography

Top 5 countries / regions

  • 🇺🇸United States
    73.8%
  • 🇮🇳India
    8.9%
  • 🇨🇦Canada
    6.2%
  • 🇵🇭Philippines
    5.7%
  • 🇬🇧United Kingdom
    5.5%

Traffic sources

Source typePercentage
Direct
90.7%
Referral
8.4%
Email
0.9%
Total
100%
Direct90.7%
Referral8.4%
Email0.9%

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