Peer proof that converts strangers using AI-matched testimonials
AI voice agents that answer every patient call 24/7 and handle the work inside your EMR
Stage
Not given
Not given
Founded
Not given
Not given
Based in
AR
US
Pricing model
Free trial
Paid
Pricing
Not given
Starter: $2,500 per agent per month plus $0.20 per minute. First month free. Enterprise plan available with custom pricing for multiple locations and high call volume.
Key features
Peer Match: AI-powered matching of testimonials to each visitor by persona and objection
Import from 10+ sources: Google, G2, Capterra, and verified review platforms
30-second video and photo capture: Frictionless recording on any device
AI peer videos: Generate UGC-style proof using GPT-6 Astra, ElevenLabs, and HeyGen
Quote cards for social media: One-click downloads in multiple formats with branding
Standalone video embeds: Embed individual testimonials without a full widget
Dual control: Founders approve matches and quotes; customers can revoke their voice anytime
Live-updating widget: Peer Match reorders testimonials in real-time for each visitor
Multi-stack compatibility: Works on Webflow, Framer, WordPress, Next.js, Angular, and custom stacks
AI voice agents answer calls in 70+ languages
Books, moves and cancels appointments in your EMR
Sends provider messages and updates referrals
Checks authorization status and answers billing questions
Available 24/7 via phone, web chat, text and video
Integrates with 36+ EMRs
Confirms caller identity before sharing patient data
HIPAA compliant with BAA and SOC 2 Type II in progress
Hands off to staff with call summary when needed
Goes live in two weeks with no IT project
What makes it different
Video and photo testimonials convert 2-3x harder than text alone
Goes live in under 5 minutes with no technical setup required
Average 15% conversion lift when adding peer voices to pricing pages
Built specifically for founder-led SaaS, not generic testimonial collection
Answers every patient call immediately—never unanswered or on hold
Handles hundreds of calls simultaneously instead of one per hire
Does the work inside the EMR during the call, no manual entry needed
Saves $382,000+ per year compared to hiring front desk staff
Cfeedback
Karing