Dear Mom, Dad, Troy, Brett, Julia, Meme, Grandpa, and all my Aunts, Uncles, Cousins who might ask about this at our next family gathering…

Kyle Rood
Resultid Blog
Published in
5 min readJun 7, 2022

An open letter from Kyle, our lead developer, to his family explaining what Resultid does.

Let me start by saying I love you, and you all have many talents! Some with song and dance, others with sports, and even more with cooking (our family soup is to die for, recipe is TOP secret).

One thing which many of you need some help on is technology, especially cutting edge Artificial Intelligence technologies. As soon as I mention Natural Language Processing and GPT3 I can just feel your eyes glazing over, and I completely understand. This stuff is weird and wordy.

Please bear with me as I try to explain our company, Resultid, and the app we have built. Hopefully you can find a way it applies to something you do! If Meme is able to use our app, anyone can :) Love ya Meme-ster!

I’ll start with a dictionary of words that you can go back and refer to:

Resultid Dictionary

Artificial Intelligence (AI) → computer programs that can perform tasks that normally require human intelligence (visual perception, speech recognition, decision-making, etc.)

  • Example: Spotify curates custom playlists for each individual user using AI.

Machine Learning (ML) → the use and development of computer systems that are able to learn and adapt without following explicit instructions, by using algorithms and statistical models to analyze and draw inferences from patterns in data.

  • Example: Voice to text (speech recognition) is often done using machine learning models.

Natural Language Processing (NLP) → the interactions between computers and human language, typically using computers to process and understand large amounts of human text.

  • Example: Netflix’s terrible translations are often done using mid-rate NLP algorithms.

Data Narrative → Resultid’s way of helping users understand their data without needing to know advanced data science.

  • Example: A data narrative is like putting your destination in on Google Maps; you input a small amount of information, and we give you a roadmap for how to get to that goal.

Now here is a brief overview of our company:

Resultid is a startup which uses Artificial Intelligence, (PLEASE DON’T STOP READING) Machine Learning, and Natural Language Processing models to help a user quickly understand large amounts of data at a glance. (Still with me?)

Resultid’s app is built on top of several leading edge Natural Language Processing models, and these models turn lines of text into numbers. These numbers help us to identify and describe relationships between words, relationships between sentences, and relationships between documents. Understanding these relationships allows us to understand which sentences are most relevant to a given search.

This is where I’ll stop the technical explanation of NLP, because you’d need to take a bunch of Computer Science and Math classes on this and none of you want that, trust me. The people in this field have lost their minds; one professor of mine got hit by a car and still came to class that morning with an arm in a sling and cuts on his head.

Many companies try to use Natural Language Processing or other Machine Learning related models to help users process and understand their data. Resultid is doing this through Data Narratives, which allow the user to extract information from their data swiftly, without having any knowledge of data science, and give them insights that they can take action on.

One of the Data Narratives we have been developing is for data summarization. You can upload any type of text based data (PDF, Word Document, CSV, Powerpoint, and more to come…) and we will be able to summarize it after only a few clicks from the user and a few seconds of processing time. (Like an instant book report)

Resultid’s app allows you to upload your text data to give you a ranked list of the main themes from that data. For example, someone tasked with summarizing hundreds of customer reviews can use Resultid’s app to understand at a glance what the main themes of those reviews are. Were the reviews good? Were they bad? Why did users respond or not respond to your product? You can pull all of this information out quickly and accurately using our app.

This comes with all kinds of customization: a slider if you want to generate more themes or fewer themes, the ability to specify a goal in your summarization (like ‘Looking for bad reviews’) to help our system get to the right answer, filters to limit the report to only use specific pieces of the data you upload, and more.

Resultid’s Data Narratives will help any user, whether it be a college researcher, lawyer, project manager, or even one of you all! I am hoping I can inspire one of you to use our app in a way I didn’t expect. Interpreting data can be fun! (We ran the lyrics of the most recent Drake album through our system and got a pretty funny result you can see here).

We want to build as many of these Data Narratives as possible, so that the user doesn’t just stop at summarization, but they are able to use our app to quickly understand their data as a whole. Stay tuned for our next narrative, which analyzes the sentiment of a document, and conveys to the user if their submitted document is negative, neutral, or positive in its tone.

Right now our app is in Beta (we are working on it!) and not open to the public. Soon you will be able to access it on any browser, just like any other website, without any account creation or download needed. Just log in with your Google account!

I hope this gives you a little bit of an idea of what our company does and what we are building! If anything, at least you can go back and read this and hopefully will prevent me from diving down the tech rabbit hole and ruining the next reunion :) Can’t wait for red wings and candy smacking us in the face, see you all soon!

Love,

Kyle

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Kyle Rood
Resultid Blog

Lead Developer at ResultID, MS in CS from GWU, Passionate about AI and making people smile (at least trying to)