Tech Talk with Valuer's CTO - Christian Lawaetz Halvorsen - Valuer

Описание: In order to get right into the weeds regarding what we do here at Valuer, we sat down with our Chief Technical Officer, Christian Lawaetz Halvorsen. In this video, he breaks down what our AI-driven platform is, what it does, and how our customers can use it to find detailed insights on markets, companies, and hidden opportunities.

Check out our website: https://valuer.ai/

What makes our platform different?
Our platform is based on a microservice architecture, which enables us to perform multiple tasks in stand-alone systems. This provides high flexibility and stability to ensure a constantly improving architecture based on user needs and the newest technology available.

How does our platform use natural language processing?
Our main use of machine learning relies on our implementation of NLP (natural language processing) during customer search inquiries. Any search that’s sent into the Valuer app is processed by our natural language processing algorithm, a distilled version of BERT, which converts the keywords and semantics of the sentence into a position within our clustered database. This setup enables the user to access relevant information without knowing exactly what they are looking for and how to find it, achieving a creative and explorative approach to searching.

What are the features that customers can access within the platform?
1. Deep search: accessing our entire database to gain a suggested top list of most relevant companies.
2. Look-alikes: users can input a company they’re interested in to find 10 semantically similar companies.
3. Industries: a visualized exploration of cluster patterns within our database that show similarities and connections between sub-industries.
4. Technologies: top trending technologies featured and described for practical implementation.
5. Radars: collecting and keeping track of results that you have found through the Valuer app.

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