Our Services
At Context Data Analytics we apply data analytics in context. We start with the data (big, small, noisy, dirty) and the questions you’re trying to answer. A deep dive into the context of the problem and the sources and semantics of the data provides the insight to apply advanced analytics and formulate targeted solutions.
Modern Large Language Models: Transformers, DL, CNN, RAG
Statistical Machine Learning: Expert application of advanced algorithms for regression, classification, density estimation, semi-supervised learning, clustering, non-parametric learning, information selection, reinforcement learning and deep learning.
Precision Medical Monitoring Device R&D. Support of R&D for new, intelligent medical monitoring technology.
Big Data Analytics: Statistical analysis and model development.
FDA submissions for new medical devices: Document preparation and analysis for de novo and 510(k) submission.
Robotics: Robot vision and multisensory integration, navigation in unstructured environments, inverse kinematics and dynamics, autonomous vehicles, machine learning for robotics.
Computer Vision and Image Analysis: Application of advanced techniques for extracting relevant information from video and images. SLAM, VIO, VLP. Point Cloud Analysis.Hands-on startup experience
Precision Data Collection Management and Support: Ensuring that expensive data collection studies (medical, robotic, visual measurement etc.) meet the accuracy goals required.
Sensor Calibration: Ensuring that both novel and existing sensor hardware meets the needs of your application.
Virtual and Augmented Reality: Immersing the user into your applications, image-based virtual environments.
R&D Research Group Management: Both privately funded, and government funded by DARPA, DoD and NSF.
Hands-on startup experience