Caller ID can be faked
Caller ID can be faked in seconds. You can’t trust the number you see.
Optional add-on
Know who's really on the line
Speaker recognition creates unique acoustic fingerprints from how people speak — not what they say. Add it to your IdentityCall platform to recognize returning callers, build unified profiles, and detect fraud.
97%+ recognition accuracy
The problem
Caller ID was never meant for identity
Traditional phone systems identify devices, not people. This creates blind spots that cost businesses time, money, and security.
People use multiple phones
One person uses work phone, personal phone, landline. Your CRM sees three strangers.
Every call starts from zero
Called last week? Last month? Without manual notes, every call starts from zero.
Your voice is your identity
Every voice has unique characteristics - pitch, tone, cadence, resonance, micro-pauses. Voice biometrics analyzes these traits to create a mathematical fingerprint that identifies the speaker, regardless of what phone they’re calling from.
1
Capture
Audio is analyzed during the call. No special hardware needed - works with any phone system.
2
Extract
Our AI extracts 256 acoustic features from the voice, creating a compact embedding (a numerical fingerprint).
3
Match
The embedding is compared against known profiles using vector similarity. Matches return in milliseconds.
Authentication
256-dimensional voice embeddings.
Accuracy
97%+ recognition accuracy in real-world conditions.
Minimum audio
Works with as little as 3 seconds of speech.
Language support
Language and accent independent - analyzes how you speak, not what you say.
Use cases
Traditional phone systems identify devices, not people. This creates blind spots that cost businesses time, money, and security.
Contact centers
Recognize every returning caller
Problem
Agents don't know callers
Solution
Instant recognition
Key benefit
Reduce handle time
Collections
Verify you're speaking to the right person
Problem
Identity verification wastes time
Solution
Passive voice verification
Key benefit
Compliance + efficiency
Fraud detection
Catch repeat offenders across identities
Problem
Same-voice detection
Solution
Same-voice detection
Key benefit
Prevent repeat fraud
Built for privacy by design
Voice biometrics raises a fair question: what happens to my voice data? IdentityCall was designed with privacy as a core principle, not an afterthought. You stay in control.
No recordings stored
You control whether audio is retained. Enable embedding-only mode and we extract the voiceprint in real-time, then discard the audio entirely. Nothing to leak, nothing to subpoena.
Can't recreate voice
A voice embedding is a 256-number mathematical signature. It captures patterns - not sound. There’s no way to reverse-engineer the original voice or use it for cloning. It’s a one-way transformation.
No cloning risk
Unlike stored audio, embeddings cannot be fed into AI voice generators. Your customers’ voices remain theirs alone.
Compliance ready
Designed to support GDPR, CCPA, and industry-specific regulations. Embeddings can be deleted on request - true data portability and right-to-erasure.
Add speaker recognition to your platform
Start your free 14‑day trial - no credit card required.
