At IDK YET we are beyond the public state of the art.We deliver AI consulting services to a diverse group of industries. We continuously update client models to perform at peak efficiency and accuracy based on current data and state of the art.Provide deep insight and novel approaches to client problems using current sota methods or novel methods appropriate to the client’s needs.We have worked with all forms of data, tabular, audio, image, video, 3d point clouds, voxel data, multimodal, etc., within many different industry sects: financial, aerospace, automotive, IT, hardware, nautical, general robotics.

To see what we do, check out https://www.webai.com/

Developed and implemented adversarial attack prevention of NLP (LLM) models to detect fraudulent activity within the securities exchange ecosystem.

Working to save people money and make the earth a little greener using proprietary technology to disaggregate home and industrial power usage to the individual device level. Utilizing state of the art technologies in classification and multi-input time series forecasting.

Developing internal AI ecosystems to tackle many business problems. Using computer vision, object detection, object tracking, pose estimation, to make the workplace safer and confirm safety compliances. Reading and discerning hand written technical audit reports into structured data. Using the structured data to predict industrial safety adherence.

Mission critical DOD work that is advancing the safety and effectiveness of our troops and assets.

All things autonomous vehicles, artificial intelligence, and machine learning within General Motors.Helped to build the Autonomous Vehicles Technologies team. Developed the internal programs for SLAM, HD Mapping, perception, control policy networks, advanced algorithms, etc.Generated end-to-end supervised CNN and reinforcement learning models for AV policy control networks. Constructed automated systems to perform SLAM to create and annotated HD maps.Designed and trained sensor fused perception systems for use in AV.Created an AV back-end pipeline for ingesting AV data, updating HD maps, and improving and validating all flavors of neural networks in the AV stack.Grew a team within two years through exceptional performance delivery and business value added to C-level goals.Developed products in NLP, OCR, recommender systems, timeline prediction, and much more.Created a graph convolutional neural network to identify high-risk actors within the insurance customer space.

Research and Develop state of the art machine learning techniques, specifically neural networks, for their use in predicting trends in the foreign exchange market