Regal vs Thoughtly
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
The short answer
Editorial assessmentRegal compared with Thoughtly
Both handle outbound and inbound at scale, but the trigger differs. Regal fires conversations from customer events such as an abandoned application or a failed payment, and routes between AI and human agents on one platform sold on quoted contracts with implementation. Thoughtly runs list-based campaigns and inbound answering from about $50 per month, self-serve, with no human agent workspace underneath. Operations replacing a contact center take Regal; teams wanting measurable campaign calling without that commitment take Thoughtly.
Choose Regal if
Mid-market and enterprise consumer-facing operations with substantial phone volume that want AI and human agents on one platform, driven by customer behavior rather than static lists.
Choose Thoughtly if
Sales and support teams running both inbound answering and outbound calling who want conversation logic they can see and results they can measure, plus agencies deploying agents across clients.
Side by side
13 attributes| Attribute | Regal | Thoughtly |
|---|---|---|
| Category | Voice AI | Voice AI |
| Starting price | Quoted; mid-market and enterprise contracts (free trial) | From roughly $50 per month with included minutes, plus per-minute usage beyond (free trial) |
| Pricing model | Quoted subscription combining platform fees, agent seats, and usage for AI conversations and telephony. Enterprise contracts with implementation; no self-serve tier. | Subscription plans with included call minutes and per-minute overage, scaling by volume, agent count, and features. Agency and enterprise arrangements available. |
| Free plan | No | No |
| Free trial | Pilot arrangements through sales | Free trial with test minutes |
| Best for | Mid-market and enterprise consumer-facing operations with substantial phone volume that want AI and human agents on one platform, driven by customer behavior rather than static lists. | Sales and support teams running both inbound answering and outbound calling who want conversation logic they can see and results they can measure, plus agencies deploying agents across clients. |
| Setup time | Months for a full deployment. Event integration, journey design, agent configuration, human agent migration, and compliance review each take real time. | A working agent in a day using the visual builder. Production readiness takes one to three weeks including flow refinement, integration testing, and escalation design. |
| Learning curve | Substantial across roles. Operations teams learn journey design, agents learn a new workspace, and compliance teams need to understand how rules are enforced in the platform. | Low to moderate. The canvas is approachable, and the real skill is designing conversations that handle unexpected responses gracefully, which improves only by reviewing real calls. |
| Platforms | Web application, Telephony and messaging infrastructure, REST APIs and webhooks | Web application with visual builder, Telephony integration, REST API and webhooks |
| Compliance | TCPA and consent management, GDPR, CCPA, SOC 2, Sector-specific requirements on qualifying arrangements | GDPR, CCPA, SOC 2, TCPA considerations for outbound calling |
| Founded | 2020 | 2023 |
| Headquarters | New York, United States | New York, United States |
| Ownership | Private, venture-backed | Private, venture-backed |
Strengths and limitations
Regal
Strengths
- AI and human agents on one platform with shared context, rather than automation bolted beside a contact center.
- Event-driven outreach triggered by behavior, which materially outperforms batch calling on timing.
- Multi-channel journeys covering voice and messaging under one set of rules.
- Consent, frequency, and calling window enforcement built in rather than left to process discipline.
Limitations
- Enterprise commitment with quoted pricing and a real implementation project.
- Overkill for businesses wanting only a voice agent.
- Migration from an existing contact center is disruptive and should not be underestimated.
- Not a developer platform for embedding voice in products.
Thoughtly
Strengths
- Visual flow builder makes conversation logic legible and maintainable by non-engineers.
- A/B testing of conversation variants is rare in this category and genuinely useful.
- Outcome classification turns call volume into a performance metric.
- Covers both inbound answering and outbound campaigns in one platform.
Limitations
- Less raw flexibility than developer-first API platforms.
- Outbound calling faces significant legal restrictions in many jurisdictions.
- Included-minute plans with overage make heavy usage harder to forecast.
- Smaller vendor with less ecosystem presence than the largest voice platforms.
Pricing compared
Regal
Quoted subscription combining platform fees, agent seats, and usage for AI conversations and telephony. Enterprise contracts with implementation; no self-serve tier.
- PlatformQuoted
- AI agentsQuoted usage-based
- EnterpriseQuoted
Regal's economics rest on replacing or absorbing contact center spend rather than adding to it. Handling a meaningful share of conversations with AI while keeping humans for what needs them changes the cost structure of an operation, and event-driven timing improves conversion on outreach that would otherwise be batched and late. The commitment is correspondingly larger: this is a platform migration, and it only pays back at volumes where contact center cost is already significant.
Thoughtly
Subscription plans with included call minutes and per-minute overage, scaling by volume, agent count, and features. Agency and enterprise arrangements available.
- StarterFrom about $50
- GrowthFrom about $250
- EnterpriseQuoted
For teams running calling as a repeatable process rather than a one-off automation, the measurement layer is where the value concentrates: knowing which conversation variant books more meetings compounds in a way that raw call automation does not. Teams that will build one agent and leave it alone are paying for optimization they will not use, and a simpler platform serves them better.
Editorial verdict on each
Regal
Regal is arguing something more ambitious than most of this category: that AI agents should not sit next to a contact center but inside one, sharing routing, profiles, consent rules, and reporting with the humans they escalate to. That argument is correct, and the event-driven trigger model addresses the other half of the problem most voice platforms ignore, which is that timing determines outcomes more than script quality does. The price of that ambition is scope. This is a platform migration with implementation, compliance work, and a quoted enterprise contract, which makes it irrelevant to anyone below serious conversation volume. For consumer businesses where the contact center is a major cost and a major revenue channel, it is one of the more coherent propositions available.
Read the full Regal profileThoughtly
Thoughtly's most interesting decision is treating a phone conversation as something to optimize rather than merely automate. A visual canvas makes flow logic legible to the people who understand the sales process, and A/B testing plus outcome classification lets script decisions be settled by evidence instead of seniority, which is rare in this category and genuinely valuable to a team calling at volume. It gives up some technical flexibility against developer platforms and some packaging convenience against agency-focused ones. The strongest case for it is a team that will keep changing what the agent says and wants to know whether each change helped, and the weakest is a business that wants one agent configured once and forgotten.
Read the full Thoughtly profileRegal profile last reviewed 2026-08-22; Thoughtly last reviewed 2026-08-22. Pricing is compiled from public sources and can change without notice. See our methodology.