SilverSafe AI
AI phone and text companion that helps seniors spot scams
AI & Machine Learning·Security
What is SilverSafe AI?
SAM is an AI phone and text companion for older adults. When a call, text, or email feels off, they hang up and call or text SAM at 844-8-ASK-SAM for a plain-English second opinion. SAM looks at what they heard or received, flags warning signs like pressure tactics and requests for gift cards or codes, and suggests what to do next.
That pause is the point. Scams work by rushing people, and SAM gives them a trusted voice to slow down and think before money moves. SAM never listens in on calls, and there is no app to learn, just the calling and texting they already do every day.
Caregivers and adult children can link accounts and get a call or text when SAM flags something suspicious. The Scam Detector on silversafe.ai checks links and images, including whether a photo or video looks AI generated. A simple dashboard shows past checks, and SAM can send medication reminders.
Plans start with 2 free checks, no card needed. Paid plans: Essential $19.99/mo, Essential Plus $29.98/mo, Complete $39.99/mo. SilverSafe AI was founded by a Navy veteran now working in cybersecurity, a speech pathologist with 20 years of experience, and a serial entrepreneur.
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there is a certain circle size three to four people that has significantly higher conversion and retention than lower and higher circle sizes... higher secret sizes is often friend groups or things like extended family or they probably less motivated to pay for safety features
Design for the buying unit (3-4 person circle), not the individual user
Life360 found that 3-4 person circles convert and retain dramatically better than 1-2 (couples who outgrow the use case) or 5+ (friend groups with weaker pay motivation). If your product has a group dimension, find that band and design for it explicitly — onboarding, defaults, paywall framing. The unit isn't the signup; it's the household.
look at your high LTV users like why do they stick around what do they use the most what messaging resonates with them and then because our goal in performance marketing is to find more of those high LTV users
Use high-LTV in-app behavior as the brief for your next ad concept
First-party in-app analytics are an underused creative signal. The feature your best-retaining users engage with most is likely the hook that will resonate in ads, because UA's goal is replicating high-LTV cohorts. Most teams only look at ad-platform output to brief new creatives; layering in-app behavior data sharpens hypothesis quality significantly.
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