Regal
Voice AI agent platform for enterprise contact centers
By Regal · HQ New York, US · 4.0/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Enterprise contact centers with 25+ agents or 100k+ monthly call minutes that want AI voice agents on inbound and outbound calls
- Insurance, mortgage, financial services, healthcare and education teams running phone-led sales, enrollment and servicing at scale
- Outbound teams fighting low answer rates, using branded caller ID, spam remediation and cross-channel journeys
- CX leaders who want human-in-the-loop AI agents, a no-code agent builder and conversation intelligence
Ideal size: 25+ contact center agents people · Enterprise CX or sales org with ops/engineering support
Not for
- SMB or mid-market teams below roughly 25 agents — Regal sells to enterprises and does not publish self-serve pricing
- Buyers who want a cheap per-seat dialer, a standalone CCaaS replacement or published list pricing
- Businesses with no phone or voice channel in the customer journey
- Companies unwilling to run an implementation or forward-deployed engineering motion
Value metrics scorecard
Time-to-Value
2–6 weeks with white-glove onboarding
~30 days to first production value
Total Cost of Ownership
$150,000/yr
Starts at $30,000 · Usage- and feature-based: you pay for the features you use, with discounts for higher spend and longer contracts; no list prices published
Implementation Friction
3/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Enterprise only; vendor suggests at least 25 agents and 100k call minutes per month as a fit proxy
Add-on costs
- None
Company & support
Who is behind Regal, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- New York, US
How you get support
We haven’t recorded support channels for Regal yet. Nothing here means unverified — not absent.
Market position
Where Regal sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Regal
- Customer.io
- Skai
- Reputation
- hireEZ
- Weave
Add or change companies
Up to 10 companies including Regal. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What Regal ships in AI, and what it asks of your ecosystem.
AI features shipped
Regal ships voice and chat AI agents plus a no-code AI Voice Agent Builder, conversation intelligence (real-time transcription, automatic summaries, triggered journeys) and Copilot for building self-improving agents. The vendor states its LLM partner agreements prevent training on or storing customer data, and cites flexible LLM choices with human oversight. No model providers, BYOK terms, AI…
Your data & models
- Trains on your data
- Never trains on your data
- Runs on
- Not recorded
- AI pricing
- Not recorded
In your ecosystem
- AI connection
- Not supported
- Model key
- Not recorded
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Regal is an enterprise AI agent platform for contact centers. Its voice and chat agents handle inbound and outbound conversations — qualification, enrollment, scheduling, payments and support — alongside branded caller ID, cross-channel journeys, conversation intelligence and a no-code agent builder. Regal targets large contact centers (roughly 25+ agents, 100k+ monthly call minutes) in financial services, insurance, healthcare, education and eCommerce, and states it holds SOC 2 certification and adheres to GDPR and CCPA.
Frequently asked questions
How does Regal price its platform?
Regal does not publish list prices. Its pricing page says customers pay for the features they use, aligning vendor success with the customer's, and that pricing is discounted as buyers commit to higher spend and longer contracts. Pricing is quoted after a demo. Regal sells to enterprises, and its pricing FAQ uses at least 25 agents and at least 100k minutes of calls a month as a good proxy for fit.
What size company is Regal built for?
Enterprise contact centers. Regal's pricing FAQ states it works with enterprise companies and names financial services, healthcare, education, local services and eCommerce as target industries, adding that it is built for companies that need to build trust with customers. Smaller teams that want a self-serve, low-cost dialer are outside the target profile.
Does Regal replace our existing contact center or dialer?
Usually not. Regal positions itself as an AI agent and customer engagement layer that connects to an existing stack, citing 40+ integrations with CCaaS platforms, CRMs and other systems plus APIs and webhooks. In its customer stories, AI agents take the first outbound touch and hand qualified conversations to human agents, rather than replacing the underlying contact center.
Is Regal compliant and safe for regulated industries?
Regal's security page states it runs a security and compliance program with SOC 2 certification and adheres to relevant standards including GDPR and CCPA, and its homepage says agreements with LLM partners prevent those partners from training on or storing customer data. No HIPAA, ISO 27001, FedRAMP, ISO 42001 or CMMC claims are published, so regulated buyers should confirm data-handling terms directly.
What AI features does Regal actually include?
Voice and chat AI agents tailored to use cases such as inquiry handling, scheduling and FAQs; a no-code AI Voice Agent Builder; conversation intelligence with real-time transcription, automatic summaries and triggered journeys; and Copilot for building self-improving agents. Regal says agents offer built-in security, flexible LLM choices and human oversight, but does not name specific model providers or describe BYOK arrangements.
How long does Regal take to implement?
Regal describes white-glove support and says it can get customers live as soon as possible, and several customer stories describe fast go-lives, for example a 20% conversion lift within a week of launching branded caller ID. Public pages do not state a standard implementation timeline or mandatory implementation fee; integration work runs through APIs, webhooks and 40+ prebuilt CCaaS and CRM connectors.