We build Predictive Maintenance (PdM) models, Manufacturing Intelligence (MI) solutions, and IIoT applications that empower your engineers and technicians with data driven decision making on the production floor. We prioritize the most significant contributors to poor OEE and use an agile MI development process that results in frequent delivery of impactful solutions to improve OEE.
We build advanced analytics, predictive machine learning models, deep learning models, interactive dashboards, and other data science solutions for both commercial and defense clients. We ensure that the solutions we build and you deploy achieve quantifiable business outcomes. Vector Analytics is your Women Owned Small Business data science partner.
We use leading edge natural language processing techniques and machine learning models to execute data fusion of scientific, technical, and other big datasets to develop insights, identify trends, and conduct impact assessments in science, technology, R&D, innovation, and commercialization.
Defense Innovation Analysis (AKA "DIA") is a machine learning/AI augmented platform for US Department of Defense (DOD) RDT&E budget analysis. DIA identifies SBIR/STTR awards aligned to each DOD R&D project and has the capability to provide US and adversary benchmarking through the ingestion of patents and scholarly journals.
DIA is DOD budget analysis on AI steroids!
Vector Analytics builds client solutions on-premise, in hybrid environments, and in the AWS cloud. We have AWS accredited and certified staff. Dominantly a Python shop, we utilize Jupyter and AWS Sagemaker notebooks for model development and deployment. We also have experience with DataRobot for prototyping, model development and tuning, and production deployment. We build analytics dashboards in Tableau, AWS Quicksight, and Python.
Vector Analytics becomes part of your onsite team, with specific solution development, training, and guidance responsibilities. We want to teach your team "how to fish" and we will help establish, grow, and develop your data science team. We facilitate the successful implementation of analytics and data science solutions within our client's organization by addressing the four elements of change management: culture, process, team, and infrastructure.
Need an assessment of the current state of Manufacturing Intelligence on your shop floor, so you can develop a roadmap for further IIoT and smart factory implementation? Unsure of the readiness of your data architecture for machine learning solutions? For example, do you have data standardization, harmonization, and contextualization guidelines and have they been well implemented? Ask us for an assessment to start your digital transformation.