
Voice AI Agents for Enterprise: Build, Deploy, Scale
Based on user reviews
Rating Distribution
Elena Vasquez
9 days ago
Regal AI transformed our outbound sales calls over the past three months. Integrated seamlessly with our Salesforce CRM, the behavioral lead prioritization feature uses website visits and email opens to target hot prospects first, boosting our connect rates by 25% compared to manual dialing. Voice quality feels natural, with low latency that keeps conversations flowing. The multi-channel orchestration, blending calls, texts, and emails, saves my team hours weekly. Pricing isn't public, so we negotiated a custom plan, but ROI is clear. Minor hiccup: needs clean data to shine. Highly recommend for sales teams.
Dr. William Bobos
Dr. William Bobos, specializing in AI tools, has reviewed Regal AI for Conversational AI and rates it 4.0/5 based on 1 user review. The tool shows particular promise for marketing professionals who work with AI tools tools regularly.
Pricing: $1 – $5 / month(Updated February 2026)
No public pricing; tailored based on users, features used, and contract length. Third-party sources mention starting at $29/month, but official site requires contact.
Usage Model: API Calls, Pay-as-You-Go — ensuring you only pay for what you actually use.
With pricing at $1 – $5 / month, Regal AI offers marketing professionals a range of conversational ai solutions. The pricing structure is designed to accommodate different needs, from individual users to large teams. For marketing professionals who need comprehensive conversational ai tools, the investment typically pays off through increased efficiency and better results.
Regal AI is a voice AI agent platform for enterprises, enabling the build, deployment, and improvement of AI agents for customer support via phone, text, chat, and web. Key features include RAG-powered knowledge bases, conversation simulations, custom AI analysis, WebRTC voice, embeddable widgets, progressive dialing, real-time observability, and integrations with CRMs.
Understanding the core functionality and approach of Regal AI.
Pay-as-you-go pricing means Regal AI costs scale with your actual usage. No wasted spend on unused seats or features you don't need yet. Usage-based billing keeps costs aligned with real adoption.
Explore the powerful features that make Regal AI stand out.
Long-form discussions stay coherent even across multiple sessions. Currently optimized for Web App.
Rate limits and authentication are clearly documented for smooth implementation.
SDKs for Python and JavaScript/TypeScript remove boilerplate and shorten the path to production.
Decision-makers get real-time context without waiting on manual reporting. Analytics and reporting surface the metrics needed to act quickly.
Discover how different audiences leverage Regal AI for their specific needs.
Escalate complex queries to human agents seamlessly when needed. Support leaders get knowledge, automation, and collaboration in one place.
Launch reviews and retrospectives stay organized in one place. Analytics and reporting surface the metrics needed to act quickly.
Knowledge base integration helps agents find answers without leaving their workflow. Support leaders get knowledge, automation, and collaboration in one place.
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Learn to craft effective prompts to command AI models.
Integrate AI into your daily workflows ethically and effectively.
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Take your tool to the next level with Featured placements, Academy mentions with high-authority backlinks, 48h Fast‑Track listing, Newsletter features to thousands of AI practitioners, and exclusive Data/API access for growth insights.
Use this page as a starting point to evaluate Regal AI alongside similar options. Our directory focuses on practical details that matter for adoption—capabilities, pricing signals, integrations, and real audiences—so you can shortlist with confidence and move from exploration to evaluation faster.
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Before adopting any tool, model your total cost at expected usage, verify integration coverage and API quality, and review privacy, security, and compliance. A short pilot on a real workflow will reveal reliability and fit quickly. Bookmark this site to track updates to Regal AI and the broader ecosystem over time.
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