Enterprise voice AI agents for customer calls
REGAL helps businesses build and manage voice AI agents for phone-based customer interactions. It is aimed at CX, support, and operations teams that want to automate calls, reduce wait times, and route complex conversations more efficiently.
Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric →
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What's happened with Regal lately
- Score changeRubric upgrade v3_0 → v3.1: score 5/32 → 10/365 → 10/36(+5)
Rubric upgrade: agenticness v3.0 (8 dims, /32) → v3.1 (9 dims, /36). Adds Dim 9 (Operator Sovereignty), splits Dim 6 into 6a/6b lenses, tightens Dim 4 autonomous-retry distinction. Not a product change — score shift reflects new dimension + recalibrated rubric, not a change in the tool. Fanout suppressed.
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News mentions sourced from our news feed; score changes from periodic re-evaluations.
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About
REGAL is a voice AI agent platform for businesses. According to the site, it is built for CX leaders and by contact center operators, with a focus on automating phone-based customer interactions rather than general-purpose chat.
REGAL seems strongest when you need a production-oriented voice automation system for high-volume call handling. The website emphasizes human-sounding voice quality, low latency, and workflows that can handle more complex interactions, which makes it more specialized than a basic voice bot.
Executes tasks you assign, one step at a time, within narrow domains.
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