So here's the problem

130,000
Spam calls made in 2019
$120 million
Stolen by phone scammers in 2019
130 million

Spam calls in 2019

People have stopped trusting phone calls because so many anonymous numbers are completely unwanted.

$200 million

Stolen by phone scammers

And they're getting smarter. They're not all Nigerian princes and IRS agents anymore.

380 billion

Calls filtered by Hiya

It takes almost a million years just to count that high. Isn't that crazy? Puts the national debt in perspective too, unfortunately.

196

Countries supported

That's one more than there are actual countries. Not sure how we did that.

100+ million

Active users

That's more people than live in most countries

Our solutions

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Get smart caller ID for your own phone

Download now for spam call detection and number recognition.

Caller ID

Connect

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Learn more
Call filtering

Protect

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Learn more

One more thing: Call analytics.

Our console is so dense with IP we almost didn't show it here. But then again, we knew you'd want to see it. So look but don't touch.

This is cool

Know exactly how much money you'll make two years from now. Cool huh? Not only telecommunications but telepathic too.

That is amazing

With 99.99% uptime, only an intern at Cloudflare could bring our system down. And the odds of that are usually low.

This blows, but hey

On full moons, our customer support team takes a sabbatical to Guam, and don't expect any help when there's an eclipse.

2

Intelligently parsing data with machine-learning models delivers real-time and accurate reputation status.

Unique fraud detection considers 9 metrics related to reputation, behavior, and persona, including:

User reports
Time of day
Call spoofing detection
Call flow

Unique fraud detection considers 9 metrics related to reputation, behavior, and persona, including:

User reports
Time of day
Call spoofing detection
Call flow

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Our privacy commitment

Protecting you from unwanted calls starts with protecting your data. We never sell your information to third parties and you are always in control of what information you share with us. Learn more about our commitment to your privacy.

2

Intelligently parsing data with machine-learning models delivers real-time and accurate reputation status, brand identity and performance driven insights.

Unique fraud detection considers 9 metrics related to reputation, behavior, and persona, including:
User reports
Time of day
Call spoofing detection
Call flow
A.
Ensure you are a trusted caller with dozens of models that analyze every single call, including:
Domestic origin
Wangiri
Neighbor call
B.
Go beyond a static caller registry with over 22 reputation metrics, including:
Static phone # list
Registered identity
Time
Call patterns
STIR/SHAKEN status
Registered identity
Realtime analysis
C.

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General inquiries

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