Innovative real-time text-to-action AI engine that filters scam calls as a critical infrastructure investment, protecting customers, reducing enterprise fraud losses, ensuring regulatory compliance, and creating new revenue opportunities for telecom operators and financial institutions.
Lost annually to phone scams in the U.S. (2024), with financial institutions bearing $4.41 for every $1 of fraud.
Americans were victims of phone scams in the past 12 months.
Higher than any other fraud type. Voice channel fraud losses spiking across industry.
SIP or SS7 integration mirrors live audio inside the operator core without affecting call quality.
Speech is converted to text and evaluated by an LLM within 1–2 seconds.
The system can warn users, tag sessions, or terminate high-risk calls based on operator policy.
Shared threat intelligence improves with scale. Each carrier and institution deployment strengthens the entire network, creating switching costs and lock-in.
Real-time AI analysis of voice patterns, caller behavior, and metadata. Multi-modal detection combining audio, network, and behavioral signals with continuous learning.
Reaches all users at the network level, not just app downloaders. First-mover captures critical mass for data advantage.
Serves both telecom operators and financial institutions, reducing single-customer concentration risk with multiple revenue streams.