Families increasingly fall victim to sophisticated phone, text, and email scams that masquerade as trusted contacts, leading to significant financial loss and emotional stress. Existing consumer protection tools rely on static block lists and require manual intervention, leaving many attacks undetected. The problem is amplified for older adults and caregivers who may lack technical expertise to identify evolving fraud tactics.
Funding
Funding not disclosed
Founders
Product
Problem
Families increasingly fall victim to sophisticated phone, text, and email scams that masquerade as trusted contacts, leading to significant financial loss and emotional stress. Existing consumer protection tools rely on static block lists and require manual intervention, leaving many attacks undetected. The problem is amplified for older adults and caregivers who may lack technical expertise to identify evolving fraud tactics.
Solution
Savi delivers an AI‑driven scam detection layer that runs continuously on users’ smartphones, analyzing inbound calls, SMS messages, and emails in real time. By combining on‑device machine‑learning inference with behavioral signal analysis, the system can flag or block fraudulent communications even when they appear legitimate. The solution operates silently in the background, allowing legitimate interactions to pass while presenting concise alerts for suspicious activity. A single family account lets multiple members share protection without additional setup, and a free web‑based tool (Scamwise) offers instant verification of questionable messages to drive adoption. All data processing respects privacy through end‑to‑end encryption and does not require a user account for core protection features.
Target Audience
Primary customers are households—parents, seniors, and caregivers—who need automated, low‑maintenance protection against phone, text, and email fraud. The solution also appeals to small family‑run businesses that share a common communication channel.
Features
- On‑device AI models that evaluate voice patterns, text semantics, and sender reputation with millisecond latency
- Multi‑channel monitoring covering voice calls, SMS, and email streams on iOS and Android platforms
- Behavioral analytics engine that detects anomalies such as impersonation cues, urgency language, and atypical sender behavior
- Real‑time blocking or flagging with customizable alert tones and visual notifications to minimize disruption
- Family‑wide subscription model supporting unlimited member invites and centralized management via a lightweight dashboard
- Privacy‑first architecture: no raw content is uploaded; only hashed metadata is sent to the cloud for aggregate threat intelligence
- Scamwise web portal for instant, no‑login scam verification, providing step‑by‑step remediation guidance
- Seamless integration with native phone UI and contact list, requiring no additional hardware or user interaction