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Regal AI

AI voice and SMS agents for contact centers

voice-agents#voice-agents#contact-center#outbound-calling#customer-support
Claimed API Teams
Toolglade’s take

Regal AI is a serious, enterprise-grade contact-center product rather than a self-serve toy. Its strengths are call routing, CRM integration, and compliance-minded deployment for teams with real call volume. The trade-off is opacity: there is no public pricing, everything runs through sales, and aggregator sites quoting figures like "$29/month" do not reflect an actual contract. Budget for usage plus implementation, and expect a procurement process.

About Regal AI

Regal AI is an enterprise contact-center platform offering AI voice and SMS agents that handle inbound and outbound calls in natural speech across many languages. It targets sales, support, collections, and scheduling use cases for mid-market and enterprise teams, with deep CRM and data-warehouse integrations, human handoff, and compliance guardrails. Pricing is custom and sales-led, so it fits organizations with meaningful call volume rather than individual builders.

Regal AI is a contact-center platform whose AI Agents make and take phone calls in natural, conversational speech across dozens of languages. The agents can qualify and follow up on leads, collect payments, book appointments, and handle inbound customer service, working alongside human reps rather than fully replacing them. Regal positions itself around "high-touch" outbound and inbound scenarios where conversation quality and compliance matter. The product grew out of Regal's earlier branded-caller-ID and outbound-calling software, so it comes with mature call routing, journey-building, and analytics rather than being a pure voice-model wrapper. It integrates with CRMs and data warehouses so agents can act on live customer context, and it emphasizes guardrails, monitoring, and human handoff for regulated industries like healthcare, financial services, and insurance. Regal is a sales-led, enterprise-oriented offering. There is no self-serve public rate card; deployments are scoped with the vendor and priced on usage plus implementation. That makes it a strong fit for teams running significant call volume, and a poor fit for hobbyists or developers wanting a quick API to prototype with.

TL;DR

Regal AI is an enterprise contact-center platform that deploys AI voice and SMS agents for inbound support and outbound calling. It handles sales follow-up, collections, scheduling, and lead qualification in natural speech across many languages. Deep CRM and data-warehouse integrations plus compliance features make it a fit for regulated, high-volume operations. Pricing is custom and sales-led with no public rate card. It suits mid-market and enterprise teams rather than individual builders.

Company overview

Regal (Regal.ai) began as a branded-caller-ID and outbound-calling software company and has pivoted toward AI voice agents for contact centers. It sells primarily to mid-market and enterprise revenue and support teams.

The company announced a $40M round in October 2024, reported as a Series B led by Emergence Capital with participation from earlier backers such as Founder Collective and Homebrew, bringing disclosed totals into the roughly $80M+ range.

Product features

Regal's core product is AI Agents that make and take phone calls in natural, human-sounding speech, plus SMS. Agents can qualify leads, follow up, collect payments, schedule appointments, and handle inbound support, with multilingual coverage and human handoff.

The platform layers on contact-center essentials: call routing, customer journeys, CRM and data-warehouse integrations, monitoring, transcripts, and analytics. Compliance and guardrail features target regulated industries like healthcare and financial services.

Target market

Mid-market and enterprise contact centers, revenue teams with high outbound volume, and regulated industries needing compliance-aware voice automation.

Buyer personas

End users

Contact-center agents, sales reps, and support staff whose calls are augmented or handled by AI agents.

Buyers

VPs of sales, customer experience, and contact-center operations who own call volume and outcomes.

Key influencers

RevOps, IT, and compliance teams evaluating integrations, security, and regulatory fit.

Ideal customer profile

A mid-market or enterprise company running significant inbound and outbound call volume that wants human-sounding automation with CRM integration and compliance guardrails.

Funding & performance

Regal announced a $40M funding round in October 2024, reported as a Series B led by Emergence Capital with participation from investors including Founder Collective and Homebrew. Total disclosed funding has been reported in roughly the $80M+ range; verify specifics with the vendor.

Pros & cons

Pros

  • Human-sounding agents with mature call-routing and journey tools
  • Deep CRM and data-warehouse integrations for context-aware calls
  • Handles both inbound and outbound in one platform
  • Multilingual support across 30+ languages
  • Compliance and monitoring features suited to regulated industries
  • Built on years of contact-center software, not just a model wrapper

Cons

  • No public pricing; everything is custom and sales-led
  • No free plan or self-serve trial
  • Overkill for individuals or small teams
  • Implementation requires setup effort and integration work
  • Usage plus implementation costs can add up at scale
  • Not aimed at developers wanting a quick prototyping API

Pricing plans

Custom / Enterprise
Custom
  • Usage-based AI agent minutes (reported ~$0.20/min)
  • Platform and implementation fees
  • Inbound and outbound calling
  • CRM and data-warehouse integrations
  • Compliance and monitoring

Key features

API
Team collaboration
Multi-language
Integrations
Salesforce, HubSpot, Twilio, Snowflake, Segment
Input types
voice, text
Output types
audio, text
Best For
High-volume outbound calling, Inbound customer support automation, Lead qualification and follow-up, Regulated-industry contact centers

Compare key features

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Feature
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Pricing
Paid
Paid
Paid
Free plan
No
No
No
Free trial
No
No
No
API
Yes
Yes
Yes
Team support
Yes
Yes
Yes

Frequently asked questions

Does Regal AI publish pricing?+

No. As of August 2026 there is no public rate card. Pricing is custom and usage-based, scoped with the sales team based on call volume, channels, and implementation.

Can Regal AI handle both inbound and outbound calls?+

Yes. The platform runs inbound support scenarios and outbound campaigns such as lead follow-up, collections, and appointment booking within one system.

Is Regal AI suitable for individuals or small teams?+

Not really. It is an enterprise-oriented, sales-led product best suited to mid-market and enterprise contact centers with meaningful call volume.

What integrations does Regal AI support?+

Regal integrates with CRMs and data warehouses such as Salesforce, HubSpot, and Snowflake, plus telephony infrastructure, so agents can act on live customer data.

How much funding has Regal raised?+

Regal announced a $40M round in October 2024 (reported as Series B led by Emergence Capital), with total disclosed funding reported in the roughly $80M+ range.

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