Not All Video is Created Equal
The investment in video can no longer depend solely on a creative endeavor. It needs to be analyzed, measured and validated as effective.
In other words, it must work.
Knowing how a series, ad, newscast, movie or user-generated content connects with the audience has always been a crucial missing piece.
Test screenings, surveys and content moderators are costly, time-consuming and limited in the amount of video they can review. And, most importantly, they cannot answer the ultimate question of why does one video resonate with the audience while another falls short?
That fundamental question of resonance can finally be answered with a pioneering technology that uses the power of artificial intelligence and machine learning.
AI that Analyzes Video With Human-Like Perception
DIALOGUE + music
How are dialogue and music choices resonating with your audience?
Words per minute
Soundtrack / Score
Which characters/talent are the most compelling on screen?
Our platform offers quick, objective insights about why content works, or doesn’t, whether it’s a film, a network series or a single news broadcast
DIALOGUE + MUSIC
KNOW WHAT WORKS
LIGHT + COLOR
How effective are your lighting choices and color palette?
PACING + MOVEMENT
What editing and camera choices hold your audience’s attention?
Shots Per Minute
Rate of Motion
Resonance AI can ingest thousands of hours of video and rapidly deliver its impact on your audience, helping you make quick, informed decisions
color + light
pacing + movement
THE TIME IS NOW
Our CUSTOMERS & PARTNERS
LEADING IN THE INDUSTRY
INDUSTRY-LEADING VIDEO AI
The most comprehensive analysis of video available
See only the analysis that’s important to you
BUILT FOR MEDIA, BY MEDIA
A team of media veterans, AI innovators and pop culture junkies
Experts at handling raw data and sudden expansions
ENRICHES EXISTING WORKFLOWS
Seamless, secure integration to receive your data
UNMATCHED EFFICIENCY + ACCURACY
Successful head-to-head matchups against multiple leading competitors
INNOVATIVE MEDIA VETERANS
BUILT FOR MEDIA, BY MEDIA
I have had a lifelong passion for technology, great product design, delighting customers and building innovative businesses.
My great fortune led to being a co-founder and chief executive of Questra, one of the first large-scale (Internet of Things) companies, along with significant time spent at companies like General Electric and Xerox
What we’re now doing at Resonance AI, though, is the most exciting work I’ve ever been a part of.
Using AI to look at video like a human would, but on a vast scale, marries nuance with immense processing power, allowing for applications that touch every aspect of video, from greenlighting new content to online moderation.
The creation and consumption of video continues to explode globally, and we see Resonance AI as an essential tool in understanding not only what is being watched, but who is watching it.
I have spent almost 20 years advancing the
industries of media and advertising, leading
strategic planning, developing new revenue
streams and executing multiplatform initiatives
for both traditional and digital media
Prior to Resonance AI, I was the SVP of
Revenue and Business Development for Fisher Communications, an integrated media
company with television, radio and web
As technology kept progressing, I began to
realize that both media and advertising faced
a serious lack of decision-making based on
This is what inspired the founding of
We harness artificial intelligence and machine
learning to get to the heart of the questions
that these industries are trying to answer,
which is how to attract audience, retain that
audience and increase revenue.
Knowing what media and advertising truly
need, and providing those crucial insights
based on data, is how Resonance AI is
helping them thrive heading into the future.
Chief Data Scientist
Monitoring basic vital signs over time saves lives. As a data scientist with a background in clinical medicine I am partial to simple metrics that can provide clear insight into complex processes.
Similarly, content lifecycles are also multidimensional and determining which factors lead to positive outcomes is not a trivial task.
I am fascinated by the concept and challenge of leveraging machine learning to create vital signs for video: translating an incredibly complex process to simple actionable metrics.
From news broadcasts to movies, video content has many different forms, characteristics, and goals. How we watch and engage with content evolves everyday.
Over the last year and a half, my team has researched and developed models to watch and listen to video content and relate these experiences to a continually evolving set of viewership data.
The models function together to extract core content attributes and align them with audience responses.
Our efforts have resulted in a Resonance Score, the vital sign for video content.
KNOW YOUR AUDIENCE
GROW YOUR AUDIENCE
KEEP THEM WATCHING
IN THE NEWS