Frequently asked questions

VERN works by analyzing latent emotional clues in text, that we can ingest via voice to text or directly via text input through the software. People leave intentional clues for others to pick up on in order to understand each other's "personal frame of reference." You pass a sentence through the software, and V.E.R.N. will return that sentence back to you with an emotional recognition analysis on a 1-100 scale of confidence. From there, you can use these insights to create new technologies.

Wherever a human and a computer meet, there's a use case for VERN From video games to chatbots; from telehealth technologies to signals intelligence...VERN can help a computer understand how people feel.

Right now, V.E.R.N. can detect sadness (96.7% accuracy on internal testing; 80%+ in the field); anger (91% accuracy on internal testing; 80%+ in the field) and of course, humor (79.8%+ accuracy across the board). We will soon be adding euphoric emotions such as Love & Affection. Also, we're rolling out an Incongruity Detector in the first half of 2021. This will detect when someone is using language that is outside of the normal use--indicating polarity shifts in sentiment and intentional deceit.

Absolutely. In fact, facial recognition is fraught with bias and error, and people can easily cover their emotions. Ever hear of a poker face? Here's a thought exercise: Try to communicate to your spouse where their keys are inside your house using only facial expressions... Or try to order a pizza...not using words...but by using inflections and noise alone. You can't. The fact is, words are what we use to label and categorize our world. It's the vehicle in which we codify our thoughts. Voice inflections and quirks, and the physiological expressions only add additional information on the words that are used. V.E.R.N.'s accuracy of 80%+ in internal and real-world applications is on words ALONE. Just imagine how powerful your emotional recognition would be with V.E.R.N. ...because it's not as accurate without it.

Need a secure, offline solution? We have models ready in the AI marketplaces ready to be deployed in your on-premise solution. Need a custom frame? We can work with your organization to create frames of reference for more accurate analysis. Want to try it out? We have an API only solution for you, that you can register for right here on this site.

To use our API, simply register an account and put a card on file. We will charge you after each month for what you've used to date. Marketplaces bill based on a pre-purchased credit basis, and as we're a product in their ecosystem they take care of the billing. For enterprise solutions, we charge the package cost at the end of the month. Custom framing development and implementation is extra.

Unfortunately, we do not offer refunds. Our process offers opportunities to try out the software risk-free. Once we provide the service, it can't be returned.

With inherent biases affecting the analysis of facial and voice tools, it's a legitimate question to ask. The answer is simply: No. V.E.R.N. provides a generalized interpretation of the emotions present, for all people. With the addition of personal and domain frames, they can influence the interpretation and make it more personal by group (and therefore biased for that frame). The general algorithm is agnostic.

No. Don't be silly. AI is still far away from that...VERN was engineered to act like a human "receiver," or recipient of communication. It is a big ear and processor, that will help all sorts of people and computers understand our world. VERN only reacts to what users provide it. It can't read minds.

We see a time in which autonomous and semi-sentient machines interacting with humans on a daily basis. Soon, technologies enabled with VERN will enable chatbots to stop being so--robotic. It'll enable customer service representatives to understand the difference between a sarcastic joke and a real expression of anger. VERN will enable product marketers to test the effectiveness of their campaigns. Wherever a human and a computer meet, there's a need for VERN.