Callentis Consulting Group, LLC
Partners for Science and Technology Research and Development
About the firm
Callentis is a small research, development, and services 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.
- Firm type
- Simulation Engineering · Software Engineering
People
Monika DrachFounder & CEO
Andrew DrachCo-Founder & President
Nima Kargah-OstadiVice President
Capabilities
Translational R&D
Implement cutting-edge engineering and technology research into practice in energy, transportation and health sciences; transfer technology from the state of the art to the standardized state of the practice; SBIR and STTR projects.
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.
Software Engineering
Skillful engineering of software architecture, infrastructure, and database; professional development & automated testing; DevOps & DevSecOps; cloud resource optimization; CI/CD; agile process-oriented product & project management.
- Development & Testing
- Development Operations
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; finite element analyses; computational fluid dynamics; materials science; mechanics of composites.
Systems Engineering
Employ computational intelligence in systems engineering to make data-driven decisions for asset preservation and maintenance; from forecasting asset conditions to optimizing project portfolios.
Data Management
Prepare data for analysis; use best practices to design data architecture for collection, QA/QC, storage, documentation, access, governance and security.
Industries
Transportation · Aerospace · Life Sciences · Government
Projects
No projects listed yet.