Integrating AI/ML into practice-ready solutions to improve productivity, effectiveness, and reliability of processes
Applied AI/ML
Implement and integrate practice-ready AI techniques, such as machine learning for prediction & classification, evolutionary computation for optimization, federated ML for security & efficiency, physics-guided AI for improved explainability, NLP/LLM search & productivity tools, Edge/IoT AI/ML, and MLOps
Computational Modeling
Numerical simulation and computational modeling of multi-physics phenomena in micro-, meso-, and macro- scales; simulation-based design optimization; AI/ML surrogate modeling; physics-integrated AI/ML; finite element analyses; computational fluid dynamics; materials science; mechanics of composites
Callentis offers practice-ready AI/ML development for prediction, control, optimization, and automation tasks that improve productivity, effectiveness, and reliability of business processes.
Callentis has developed federated/distributed AI frameworks to train models based on large remote data sources or IoT/Edge devices with high efficiency, reliability, privacy, and security.
Callentis has engineered hybrid and physics-informed AI/ML to develop explainable and interpretable models that incorporate both theoretical and experimental data.
Callentis has leveraged pre-trained NLP/LLM models to deliver customized search and productivity tools via RAG and transfer learning. Callentis engineers have also used GANs to generate synthetic data for data augmentation.
Callentis has fine-tuned foundational deep learning models via transfer learning on context-sensitive data to extract information from sensor data including images and LiDAR point clouds.
Callentis engineers have conducted simulation-based design optimization, leveraging ML surrogate modeling to increase efficiency and reliability of design processes.
Callentis deploys practice-ready AI solutions into MLOps pipelines for continuous updates while being used for inference. MLOps monitors model success metrics and triggers updates to avoid model drift.
Mission: use emerging technologies to drive quantifiable process improvements in transportation, energy, and health sciences.
Strategy: we do the D in R&D; advance technologies from the state-of-the-art research to the standardized state of the practice.
Tactic: deliver practice-ready solutions that integrate emerging technologies with context-sensitive subject matter expertise.
People: experienced civil, mechanical, and systems engineers, materials scientists, solution architects, creative designers, software developers and data scientists.
We have collaborated with public and private organizations, including but not limited to
Callentis Consulting Group is a small woman-owned research, development, and consulting company, focused on integrating the latest proven technologies into existing business processes to create growth and opportunity. With extensive background in engineering and computational science, our team offers software and hardware development for a variety of science and technology applications, and diagnostic support for data-driven decision processes. We thrive in problem solving and love tackling complex challenges that have global impacts. We have mainly worked in transportation, energy, and health science industries but would love a challenge where ever we can make a positive impact.
Meet the Callentis leadership team, supported by experienced civil, mechanical, and systems engineers, materials scientists, solution architects, creative designers, software developers and data scientists.
Co-Founder & President
Dr. Drach has over fifteen years of experience in numerical modeling techniques, applied statistics, data science, custom software and hardware development, and renewable energy engineering. He has published over 40 peer-reviewed articles, presented at over 20 international conferences, and gave 4 invited talks. He did his postdoctoral training in Computational Engineering and Sciences at the University of Texas at Austin. He holds a PhD in Mechanical Engineering from the University of New Hampshire.
Founder & CEO
Mrs. Jociunaite has over ten years of experience in business data analysis, creative communication, data visualization, and user experience design. She has extensive experience working in 5 different countries, and assisting large multinational firms with their regional marketing strategies. She has successfully helped more than 15 companies with the creative design of their product and functionality to offer a seamless user experience. Mrs. Jociunaite holds two bachelors degrees in Economics and Business Administration, and two masters degrees in International Business and Marketing.
Vice President
Dr. Kargah-Ostadi has over fifteen years of experience in applied statistics, data science, machine learning, evolutionary computation, and transportation infrastructure asset management. He has published over 15 peer-reviewed articles, and presented at over 20 conferences, workshops, and webinars. He holds a PhD in Civil Engineering and a doctoral minor in Computational Science from Penn State University. He is a registered Professional Engineer and a certified Project Management Professional.
Let us brainstorm together to discover what is working and what needs improvement in your current business process.
We formulate and quantify your objectives, prepare and clean your data, and then select analysis tools that fit your data and performance metrics.
The following demonstrates our overall approach to data-driven decision-support.
We will work together to formulate and quantify the problem. This is not a templated approach. We will work with you to explore and understand your unique business objectives, processes, and performance metrics. This will lead to a list of questions to answer using available data.
Using best practices in Data Management, we will collect, verify (QC), pre-process, and clean your data to make it ready for the planned analytics. We will design database architecture and governance approach to ensure seamless flow of data from multiple sources through analysis tools.
With extensive experience in data science, our experts will use pertinent techniques to analyze your data and information to extract meaningful insights for an informed decision. This could involve recognizing patterns, segmenting and clustering, predicting future trends, optimizing multiple objective functions, and automating workflows, among others.
We will use visualization dashboards to communicate analysis results to you and will provide quantitative metrics for you to evaluate data-driven insights and whether they would improve your business performance.
Our experts will help in seamless integration of analysis results and/or analytics tools into your current process at appropriate frequency, and lay the foundation for continuous process improvement.
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