RoboKiller Protection from robocalls once and for all!
About RoboKiller Protection from robocalls, forever Every day robocalls invade our homes and distract us from our lives. In the worst cases, these automated telemarketing and scam calls facilitate fraud and identity theft. RoboKiller is a mobile app solution that stops robocalls. It's here, it works, and it's scalable. RoboKiller does not require specialized hardware or integration with phone companies. It relies only on call forwarding, a universally available landline and mobile phone feature. Users don t have to change their phone numbers, and they still receive mobile calls on their same mobile device. Our audio-fingerprinting, robo analytics engine (RAE) listens to a few seconds of a call s initial audio. As it listens for signals that distinguish humans from robots, we perform Caller ID data lookups to determine if a robocall is from a legitimate source. Human calls, and calls people want, ring back to the phone. Robocalls are dead on arrival! With Blacklist and Whitelist features, as well as Do Not Disturb settings, RoboKiller gives users complete control of their phones and freedom from telemarketing and scam robocalls. We are Team RoboKiller, and this is the beginning of the end of the robocall epidemic!
How RoboKiller Works For you curious technophiles Calls forwarded to RoboKiller are processes by RAE, our robo analytics engine, which uses audiofingerprinting technology to analyze each call. Our novel algorithm uses more than a dozen points of analysis to determine whether a call is from a robot, as well as real-time data lookups to determine if a robocall is from a legitimate, legal source. Before a RoboKiller user s phone rings, we trick robocallers to start playing their recorded messages so that we can start our analysis. Live callers hear traditional ringing during this process. If RAE determines that a call is from a robot, it never rings through; we send it straight to the user s SpamBox in the RoboKiller app. Humans, on the other hand, ring through to the user as soon as their legitimacy is confirmed. Here s how it works: Substantial audio. If the audio has significant spikes, we analyze each frame of audio and tally total peaks that fall within the realm of that significant point of audio to determine if this is recurring or background speech to be filtered.
Silent chunks. We look for noticeable chunks of silence in every audio frame. Silence indicates inconsistencies that are more likely human or background noise, while robot speech tends to be continuous. Average noise per frame. If there is substantial audio in the sample and average noise per frame is greater than 1/10th of that sample, we consider the frame to be consistent audio indicative of a robot. If the noise within a frame does not significantly deviate, we award points towards robot classification. Once a raw score for each frame has been calculated, our algorithm smooths scores for low outliers that likely result from poor audio. Keeping this value low prevents artificial inflation of large low-score areas not caused by static. We then create a rolling average of each frame from the previous three frames to smooth out outliers. Finally, we weigh highly confident areas of scoring to account for 25% of the probability, while averaging all probabilities to account for the remaining 75%. This results in a confidence score between 0 and 100%. Scores below 50% are deemed human, while scores above this threshold are considered robots.
The RoboKiller App A solution for everyone Our robo analytics engine is the backbone of the RoboKiller solution, but our mobile app is the what makes our solution available to everyone today. Most solutions to the robocall problem have had limited availability because they rely on integration with telephone carriers or telephony services. RoboKiller relies only on call forwarding, which is universally available. But if a user forwards all of their calls to RoboKiller, how can their phone ring when we send a human call back to them? Our solution leverages Session Initiation Protocol (SIP) so that calls can ring directly through the app using the cellular data network. That s the magic! Just as Back to the Future s Dr. Emmett Brown famously said, The way I see it, if you're gonna build a time machine into a car, why not do it with some style?. We figured that if people are going to stop robocalls with an app, why not do it with some flair? That s why we worked diligently to produce an app with a strong user interface. We were able to enlist the help of a couple friends to help us build RoboKiller. The app makes RoboKiller more than just a theory or concept. It is a live, available solution to the robocall epidemic.
RoboKiller FAQ Questions we made up just for you Why do you hate robots so much? Have you seen Terminator? You should hate robots too. We are technology guys, and when we are not working on RoboKiller in our free time, we spend our days working for a company that lives and breathes phone privacy and security. It is what we are passionate about, and we think robocalls are more than just an inconvenience. The really bad ones prey on the vulnerable, and steal from and defraud good people. How does it work? How do you know if a call is from a robot? RoboKiller automatically forwards calls to our robo analytics engine, which is an audio fingerprinting algorithm that determines whether a call is from a human or robot. Humans ring through, but robocalls are killed and relegated to a SpamBox on the RoboKiller mobile app. RoboKiller s algorithm looks at more than a dozen points of analysis to determine if a call is a robot or human while simultaneously checking caller ID databases to determine if a robocall is from a legitimate source. The brief analysis takes place while a caller listens to artificial ringing, providing a normal inbound calling experience. Will RoboKiller solve the robocall problem? RoboKiller is a finalist in the FTC s Robocalls: Humanity Strikes Back competition. RoboKiller is already solving the robocall problem because it is ubiquitous--it works on mobile and landline phones and it s super-accurate in discerning robots from humans. How can I get it? Does it cost anything? RoboKiller is currently available as a free mobile ios and Android app in the Apple App Store and GooglePlay Store. During our limited beta period, we are running a Kickstarter campaign. Contributors to this campaign can gain immediate access to the beta version of RoboKiller. Who are you guys? How did a couple of wingnuts figure this out? We actually have day jobs with a pretty incredible mobile apps company called TelTech Systems. We were given permission by the company to build RoboKiller on our own time, so we did. Bryan has a lot of experience with audio recognition technologies, and Ethan brings product design and management skills to the table.
The RoboKiller Team Two dorks trying to kill robots Bryan Moyles Chief Technology Dork Bryan is the mastermind of our audio fingerprinting algorithm and technology architecture. When he is not working on RoboKiller, he has a day job working for TelTech Systems, a fantastic New Jersey based communications apps company. At TelTech he developed his expertise in audio analysis, back-end software development, and other programming skills that gave him the tools needed to tackle the robocall problem. Bryan is originally from Oregon, enjoys contorting himself into unusual shapes, and brings silliness to a new level. It is quite possible that he is actually a robot, giving him great perspective as he tries to solve this problem. Ethan Garr Chief Product Dork Ethan is responsible for what you see and touch with RoboKiller. He is particularly skilled in the art of begging smart people to help him bring technology products to life. With RoboKiller, he has been focused on shaping the app, developing the collateral materials that explain and showcase the product, and coordinating the efforts needed to bring such an ambitious product to life. Like Bryan, Ethan has a day job at TelTech Systems, an amazing New Jersey based communications apps company. There he leads product development, and has gained significant experience in mobile apps, telephony, user experience, and the ancient art of getting stuff done. Ethan lives in New Jersey. He tries to sail often, hike and camp when he can, and be a good husband and father always.
Contacting RoboKiller Provided you're not a robot! Thoughts and suggestions feedback@robokiller.com Tech issues and problems support@robokiller.com Media inquiries pr@robokiller.com Watch our killer video! https://www.youtube.com/watch?v=uifw3-znkew