KN-ANALYTICS LLC is a boutique data analytics company specializing in statistical analysis, machine learning, data engineering, and artificial intelligence. We can develop a full, independent solution or work with your analytics team. Our goal is to provide your company with the insights necessary to make impactful decisions and aim to be flexible to your needs.
Our team offers comprehensive analytics solutions tailored to meet your business needs. We have extensive experience employing a wide range of regression models, hypothesis testing, confidence interval estimation, and clustering algorithms.
We leverage cutting-edge machine learning techniques to extract insights from your data. This includes decision trees, random forests, PCA, KNN, SVM, neural networks, genetic algoriths, and simulated annealing to name a few.
We provide expertise in geographic information systems (GIS) and spatial analysis. We can provide stand alone html based maps and/or web applications that allow for interactive maps. We integrate geocoding, shapefiles, and isochrone generation to provide robust visual applications.
Our data acquisition services ensure you have access to the right data sources for your analytics needs. We have extensive experience working with open and government provided data sets including data from the Census and American Community Survey. Additionally, we can employ web scrapping techniques to acquire data that is not easily downloadable.
We specialize in developing AI solutions to drive innovation and improve business outcomes. LLM are a powerful tool but they can provide incorrect information as well as fabricating facts (hallucinations). Guard rails need to be in place to contain this behavior. RAG (Retrival-Augmented Generation) is a powerful way to accomplish this. Text based data is extracted from documents and broken into smaller components, like paragraphs. These smaller components are then assigned a vector based on their semantic meaning through the use of an NLP model known as a sentence transfomer. These vectors can be used to efficiently retrieve information necessary to answer a users question (think chat-bots), or to perform an automated extraction from a set of documents. We employ advanced parsing, chunking, embedding, and prompting techniques to make sure responses are quick and accurate.
For inquiries, please email us at info@kn-analytics.com.