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RoboKiller Launches Call Confidence API for Enterprise Robocall Mitigation

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Teltech Systems has launched RoboKiller's Call Confidence API, an enterprise-grade robocall prevention technology designed to protect businesses from phone fraud. This API leverages advanced algorithms that have already saved Americans over $150 million from spam calls. With a database of over 600 million spam calls blocked, the technology integrates machine learning and customer feedback. Additionally, it helps voice providers comply with FCC guidelines ahead of the June 30 deadline, ensuring robust compliance and protection against illegal calls.

Positive
  • Launch of Call Confidence API enhances business call protection.
  • Potential to save businesses from financial losses related to robocalls.
  • Compliance with FCC guidelines provides a competitive advantage.
Negative
  • None.

NEW YORK, May 19, 2021 /PRNewswire/ -- Teltech Systems, makers of the award-winning robocall blocker app RoboKiller, today announced its launch of RoboKiller's new enterprise robocall prevention technology: Call Confidence API. With this release, businesses of all sizes can now tap into the same call blocking algorithms that have protected over one million Americans from over $150 million in financial losses due to phone fraud.

RoboKiller's Call Confidence API empowers businesses of all sizes to join the fight against robocalls by strengthening their network's defenses against illegal (and dangerous) phone scammers. The Call Confidence API will use the same machine-learning technology consumers love and trust to power robocall mitigation for businesses who may be vulnerable to robocalls. Designed with privacy, speed, and ease-of-use in mind, Call Confidence API offers a plug-and-play solution to robocalls that won't impact businesses' bottom-line or disrupt normal operations. With more than 600 million spam calls blocked to date, RoboKiller's newest robocall prevention technology extends its best-in-class and 99% effective phone scam protection to businesses nationwide.     

As the leading robocall and call protection provider, RoboKiller's Call Confidence API is supported by an extensive database of over 600 million phone numbers, informed by nearly 2 million phone calls and 500 million customer feedback reports (and counting!). Call Confidence API works by using these call signals and feeding them into RoboKiller's AI-powered Command Center, where they are used to continuously improve and update the algorithms that businesses can rely on to mitigate robocalls on their voice networks without spending precious time and thousands of dollars building new technologies and staffing a team.

"Robocalls are an old problem, and old technology won't be able to stop them," said Patrick Falzon, CEO of Teltech. "We believe RoboKiller's cutting-edge technology and direct access to user feedback from millions of American consumers is the answer to stopping spam calls at scale. But, we can't do it alone. We're excited for the opportunity to partner with businesses nationwide to further RoboKiller's impact in the fight against spam calls."

RoboKiller's Call Confidence API was also designed to be a core component of any Robocall Mitigation Program, an alternative solution for eligible voice providers who may be unable to implement the Federal Communications Commission's STIR/SHAKEN caller ID authentication framework before the June 30 deadline. According to the FCC, any voice provider who doesn't comply with the new guidelines is at risk of having their network traffic blocked.

RoboKiller's Call Confidence API is powered by many of the technologies required to be compliant with FCC Robocall Mitigation Program guidelines: blocklists, audio fingerprinting, call data analysis, call screening and most importantly the real-world feedback of millions of RoboKiller customers. Call Confidence API's ease of use and strong robocall prevention framework is an easy and affordable way for voice providers of all sizes to quickly comply with FCC STIR/SHAKEN guidelines.

RoboKiller's newest enterprise robocall protection helps businesses of all sizes to join the fight against robocalls by strengthening their network's defenses against illegal phone scams. Providers of any size can opt into a 30-day free trial of  Call Confidence API at www.enterprise.robokiller.com, or by contacting enterprise-support@robokiller.com.

About RoboKiller:
RoboKiller is the leading independent spam call blocker in the United States. RoboKiller's predictive spam call blocking technology uses A.I. and machine-learning to intercept an incoming spam call in less than 0.01 second. RoboKiller then deploys its army of spam-call-fighting Answer Bots to waste scammers' time and resources, preventing them from placing thousands of spam calls each minute. Since its launch in 2017, RoboKiller has helped millions of Americans prevent approximately $150M losses to phone scams and live their lives spam-call-free. RoboKiller, a Teltech brand, is a division of Mosaic Group, an IAC Company (NASDAQ: IAC).

Media Contacts: 
Zapwater Communications
Kody Kantor
Teltech@zapwater.com

Cision View original content:http://www.prnewswire.com/news-releases/robokiller-launches-call-confidence-api-for-enterprise-robocall-mitigation-301295185.html

SOURCE RoboKiller

FAQ

What is RoboKiller's Call Confidence API?

RoboKiller's Call Confidence API is a robocall prevention technology that helps businesses block illegal spam calls using advanced algorithms.

How much financial loss has RoboKiller helped prevent?

RoboKiller has helped prevent over $150 million in financial losses for Americans due to phone fraud.

When is the FCC compliance deadline for robocall mitigation?

The FCC compliance deadline for robocall mitigation is June 30.

How can businesses try RoboKiller's Call Confidence API?

Businesses can opt into a 30-day free trial of the Call Confidence API through the RoboKiller website.

How does RoboKiller's technology protect against spam calls?

RoboKiller uses machine learning and user feedback to block spam calls effectively and continuously improve its algorithms.

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