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## Regal AI (Regal Voice Inc.) – Copilot for Voice AI Agents **Regal Voice Inc.**, operating as **Regal AI**, launched **Copilot** in April 2026—a platform enabling companies to build and deploy AI voice agents that **self-improve over time** without ongoing prompt engineering. ### What Copilot Does - Compresses what previously required days or weeks of engineering into hours - Voice agents automatically improve their performance based on interaction outcomes - No continuous manual prompt tuning required post-deployment - Targets customer-facing professional communications at scale ### Strategic Significance **Self-improvement loop**: Agents that improve from real-world interactions raise questions about whether downstream behavior is foreseeable—critical for product liability and consumer protection purposes. **Regulatory exposure**: Voice AI agents in consumer-facing contexts trigger: - **FCC**: Robocall and TCPA compliance for automated voice calls - **FTC**: Deceptive practices rules if AI voices are not disclosed - **CFPB**: Debt collection and financial services voice agent rules - **State laws**: Growing state-level AI disclosure requirements (California, Colorado, Texas) **Employment displacement**: Voice agents targeting call center and professional communications workflows have direct labor substitution implications. **Contracting complexity**: Enterprises deploying self-improving agents face questions about what version of the agent they agreed to deploy—change management and version control become contractual issues. ### Competitive Landscape Competes with Bland AI, Retell AI, ElevenLabs (voice synthesis), and larger players like Google (CCAI), Amazon Connect, and Salesforce Einstein Voice. ### Watch For - FTC or FCC enforcement actions involving AI voice agents - State legislation requiring AI voice disclosure in commercial calls - Regal AI's Series A funding and customer acquisition - Litigation over self-improving agent behaviors not anticipated at deployment