Founder Oleg Rogynskyy discusses how he used his work experiences to launch tech startup Semantria
Today, Oleg discusses how he used his work experience to launch his company.
Q: Please tell us a little bit about your company – what is Semantria all about?
Semantria is a company that specializes in text analytics and sentiment analysis technology that runs in the cloud. The goal is to democratize this technology through eliminating factors like high costs and difficult technical integration; allowing small and medium sized businesses’ to use this technology as well. Semantria has the ability to understand contextual relationships in 6 different languages, providing insight like: who’s talking, what they’re saying and how they feel about it. All of this info is obtained in a matter of minutes, for under $1000 and can be projected right inside a Microsoft Excel worksheet. The RESTful API is also ready for integration into existing software or applications.
Q: Please tell us a little bit about your background and how you started your company?
I have several years of experience in the field of ext analytics and sentiment analysis. I started my career in sales with , who was the . Shortly Lexalytics, sentiment analysis, . While working for Lexalytics I was turning away tons of small to medium sized businesses who simply couldn’t afford a Lexalytics license. I realized that there was a huge untapped market for organizations looking to use text analytics and decided to start Semantria.
Q: What are some of the projects you are working on right now?
Due to the rapid growth of Semantria, nearly all of my time is invested into Semantria. I still do some demand generation work for Lexalytics but the lions share goes to Semantria.
Q: What are your plans for the future, how do you plan to grow this company?
. There is already tons of text data out there, but there is a whole other of information that has yet to be minedthe human voice. From call centers, to customer service lines, ;when speech data is transcribed as text, it can then be analyzed by Semantria’s API, allowing companies to expand on their analytical insightThis is not even taking into account the.
Another technology that we are working on is emotion analysis. Sentiment analysis has the ability to tell you whether a document is positive, negative or neutral. For example, sentiment analysis could tell you that a piece of text is negative Emotion analysis can tell you that the piece of text is angry or disappointed. That is the next level.
Q: What were the top 3 mistakes you made starting your business and what did you learn from it?
(1) – Not raising money. Bootstrapping seems to be in fashion right now. Guess what, if you raise money, and spend it properly, you can build a healthier business faster and avoid making the next 2 mistakes.
Q: Please share some advice for new tech entrepreneurs, someone who’s just starting out.
Q: What was the best business advice you have ever received and who gave you this advice?
Q: What are the top 3 online tools and resources you’re currently using to grow your company?
Q: What’s your definition of success?
Q: What are three books you recommend entrepreneurs to read?
Q: What is your favorite entrepreneurship quote?
Big data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it…
Q: How can our community get in touch with you?