Company
About Us
NeuMod Labs (NML) was founded to modernize the data and software infrastructure that powers design, performance analysis, regulatory compliance, and operational intelligence of the built environment. Drawing on deep expertise in building science, software systems, and data engineering, NML develops robust data pipelines and model integration frameworks that support high-fidelity simulations, real-time analytics, and AI-augmented decision-making. The team specializes in creating scalable tools for data ingestion, normalization, model training, and deployment – enabling actionable insights across design, engineering, and facilities management. With decades of combined experience, NML delivers interoperable, automation-ready solutions that accelerate project delivery, enhance building systems performance, and future-proof digital workflows across the building lifecycle.
Mission
Our mission is to build and apply advanced data, automation, and AI technologies that improve the efficiency, performance, and resilience of the built environment. We focus on delivering practical, scalable, and cost-effective solutions that empower better decision-making, streamline workflows, and create lasting value across the building lifecycle.
Certification
NML is a certified small business for federal awards and is registered with SAM.gov.
Services
Built Environment Research
NML partners with leading institutions, government agencies, and technical organizations to advance high-impact research in energy efficiency, climate resilience, and building systems innovation. Our work spans code development, field studies, and simulation-driven analysis providing evidence-based insights to support policy, technology deployment, and scalable performance strategies across the built environment.
Data Infrastructure
NML designs scalable data infrastructure for building performance workflows by transforming unstructured data lakes into interoperable, analytics-ready environments. We specialize in tool-agnostic data pipelines for ingestion, normalization, and validation, enabling streamlined integration across modeling platforms, asset management systems, and compliance workflows.
Artificial Intelligence
NML leverages AI to streamline building science workflows. NML has deployed AI platforms that can interpret design intent, review models against code and performance standards, and automate documentation and reporting. These capabilities enable project teams to cut manual review times, standardize quality checks, and gain rapid insights from complex datasets. By integrating GenAI into simulation, compliance, and design processes, we’re building the foundation for AI-driven design automation and diagnostics.
Software & Web Development
NML develops custom, web-based platforms and backend systems for performance modeling, simulation, and workflow automation. Our solutions are engineered for real-world deployment – bridging user-friendly interfaces with robust technical engines that support compliance, optimization, and design intelligence at scale.
Building Performance Consulting & Analysis
NML provides deep technical consulting in building physics, energy modeling, and building systems optimization. We support complex projects with stringent IEQ, façade, and system integration needs leveraging advanced simulation tools, calibrated models, and performance diagnostics to guide high-impact design and retrofit strategies.
Education, Training, & Expert Reviews
NML offers advanced training in AI, building performance simulation, data engineering, building codes and standards, compliance automation, and other related areas. We serve as expert reviewers for codes, standards, funding proposals, and design documentation providing technical QA, validation support, and strategic guidance to firms, jurisdictions, and research consortia.
Jarvis
Building Data Meets AI
Jarvis is a revolutionary data lakehouse engineered ground-up for the buildings industry that offers a seamless ecosystem of AI-powered apps to drive smarter building science workflows. With Jarvis, project teams access unified databases that ingest and harmonize structured, semi-structured, and unstructured data using modern API-friendly standard data models. These core capabilities empower automated insights, quality checks, performance reporting, and rapid testing using conventional and AI-powered engines.
The platform’s app suite includes a user-friendly Climate & Resilience app that delivers GUI-driven weather analysis and tailored design recommendations, and a Performance app that streams IES-VE, EnergyPlus and DOE‑2 model results for diagnostics, benchmarking, and visualization. Built-in utilities such as unit converters and a BPM Calculator add everyday efficiency, while the integrated Jarvis API enables Python scripting and custom integrations.
New in 2025 is a dedicated set of AI apps that leverag multiple Generative AI engines to support tasks like design intent inference, compliance automation, and parametric simulation. In Q3 this year, Jarvis will launch its much-requested API empowering architects, engineers, and developers to programmatically query data at scale, integrate GenAI tools, and automate envelope, systems, and materials workflows.
Whether via web UI or code, Jarvis turns chaos into clarity. Visit the Jarvis website to register your business and start leveraging the power of curated datasets and AI – www.ConsultJarvis.com
Projects
A Next-Gen Web Interface for Architects & Engineers
Department of Energy (DOE) & Oak Ridge National Laboratory (ORNL)
NML and ORNL are jointly developing a next-generation web application for architects and engineers through DOE's Building Technologies Research and Integration Center (BRTIC) funding. This platform will use standard input/output schemas for fenestration and opaque envelope data used in energy modeling and integrate backend EnergyPlus modeling capabilities. It will streamline envelope performance evaluation, support real-time code compliance checks, and deliver interoperability with certified product databases. ORNL’s technical foundation in envelope systems and high-performance computing will support scalable simulations to enable AI training. The result is an intuitive, web application that democratizes performance analysis for non-modelers while advancing AI-driven design automation.
ASHRAE Standard 205 Maintenance & Development
Department of Energy (DOE) & Argonne National Laboratory (ANL)
NML has been contracted by the DOE's Building Technologies Office via ANL to support the continued advancement of ASHRAE Standard 205. As part of the project team, NML is developing a Python package to standardize fenestration component performance data for integration into building simulation workflows. The tool will enable translation of NFRC-rated window system data - glazing, frames, shading, and air gaps into Standard 205-compliant CBOR files. This effort supports BTO’s goal of improving data interoperability across simulation, design, and compliance workflows within the evolving Standard 205 framework.
Operating Room Ventilation Big Data Study
New York State Energy Research and Development Authority (NYSERDA)
Building upon the pilot research conducted by NML and Moka, the team is collecting operating room ventilation test and balance data from 40 New York hospitals and comparing it to publically available surgical site infection data. NML is leveraging its vast network to gather data for approx. 500 operating rooms, standardizing data diverse formats into a unified database, and developing a novel data-drive QA protocol. Moka then does a Pearson correlation to assess the relationship between ventilation rates and infection outcomes. Given the many variables in infection rates, the project aims to collect data from about 600 hospitals to achieve statistical significance through large-sample normalization of external factors.
Climate Resilient Infrastructure for Basic Services (CRIBS)
United Nations Children's Fund (UNICEF)
Supporting the Sextant Foundation team, NML developed enhanced natural ventilation design specifications for primary health clinics and schools in Nigeria. The specifications built upon the CIBSE AM10 Natural Ventilation design guide and responded to extreme heat, high winds, droughts, sandstorms, wildfires, floods, insects, and security. NML also developed a natural ventilation operational guide that responds to these threats while still enhancing thermal comfort. For example, clerestory windows small enough to prevent intruders from entering would be left open at night to allow for nighttime pre-cooling of the thermal mass. Similarly managing solar gain and precipitation with overhangs to prevent heat gain and wind driven precipitation from entering the space.
Sustainability Standards Update & Energy Model Peer Review
University of Michigan
NML conducted a detailed review of the University of Michigan sustainability standards, aligning them with Michigan’s adoption of ASHRAE 90.1-2019 and the release of LEED v5. Updates included removing requirements now covered under ASHRAE 90.1 and adding new ones to reflect best practices in embodied and operational carbon, water efficiency, resilience, and indoor air quality. NML also developed a streamlined whole-building modeling guide. NML provides ongoing peer reviews of energy models for university projects during schematic design and design development phases. Reviews ensure compliance with university requirements for energy efficiency, carbon emissions, energy cost, and LEED certification.
Smart Pressure Independent Control Valve Study
Slipstream & Commonwealth Edison (ComEd)
NML supported Slipstream in a ComEd-funded study by providing data analysis, technical insights, and market research to evaluate smart pressure independent control valves (PICVs) for AHU cooling coils in a 778,000 ft² hospital. Smart controls were added to 19 existing PICVs to assess energy savings in hydronic cooling distribution. NML processed data from the building automation system, Slipstream-installed loggers, and smart PICV sensors. The analysis informed utility incentive design and yielded operational recommendations. When implemented, these measures are expected to improve chilled water ΔT by 5–6°F, enhancing system efficiency and informing broader adoption of smart PICV technology.
Electrifying Heat in an Existing Hospital
American Society for Health Care Engineering (ASHE) & Providence Health
This project supported American Society for Health Care Engineering (ASHE’s) initiative to evaluate electrification strategies for existing hospitals through detailed energy modeling and cost analysis. The scope included – site surveys, utility bill analysis, BMS data analysis, developing a calibrated energy model using EnergyPlus, and detailed cost modeling for decarbonization measures. The ASHRAE Guideline 14 calibrated energy model was also used to fill data gaps in measured building data. Simulations were calibrated to reflect real-world operations, enabling accurate comparisons across retrofit scenarios. The project delivered insights into lifecycle costs, emissions outcomes, and infrastructure requirements for hospitals exploring electrification as a viable decarbonization pathway.
Energy Codes Training For Code Officials
Wisconsin Department of Safety and Professional Services (DSPS) & University of Wisconsin-Madison
NML co-instructed the 2024 Wisconsin Commercial Building Code training series organized in collaboration with the University of Wisconsin-Madison. Held across four strategic locations – Green Bay, Madison, Eau Claire, and Pewaukee, the training engaged code reviewers, plan reviewers, building professionals from regional and local jurisdictions throughout the state. The program covered critical updates to the Wisconsin Commercial Building Code, incorporating the 2021 International Building Code and energy conservation provisions. NML’s involvement reflects its commitment to staying current with evolving building regulations and supporting code-compliant design and consulting practices.
Future Climate Data Generator
Stantec
NML partnered with Indra Science Limited to pilot a novel method for developing predictive stochastic future climate data for select locations within the US and Canada. These files were reviewed by Stantec’s in-house climatologists to confirm accuracy with existing international sources for inclusion into existing Stantec workflows. A follow-up phase is set to expand the project's scope to many more location to advance Stantec’s resiliency practice.
Founders

Sagar Rao
Co-Founder & Principal
Sagar Rao is a recognized leader in the field of computational analysis of the built environment, with cross-disciplinary expertise spanning building physics, data engineering, software architecture, and artificial intelligence. His work centers on the development of intelligent automation and scalable analytics frameworks to enhance building performance, design optimization, and regulatory compliance. With a portfolio exceeding 50 high-performance buildings, Sagar has delivered projects for federal agencies, state energy offices, premier healthcare systems, leading research universities, financial institutions, and national laboratories. Sagar serves in technical leadership roles across multiple committees within ASHRAE, IBPSA-USA, and the Illuminating Engineering Society (IES), where he contributes to the evolution of artificial intelligence, automation protocols, simulation and data standards, and data-centric compliance methods. Sagar has been instrumental in shaping building code provisions, including contributions to the U.S. Code of Federal Regulations. His work consistently bridges computational rigor with practical implementation, positioning him as a key driver of innovation at the intersection of building science, data engineering, and artificial intelligence.
Expertise
Indutry Leadership
- Member : ASHRAE Multidisciplinary Task Group - Generative AI (MTG GenAI)
- Member : ASHRAE Technical Advisory Group for Benchmarking Datasets
- Founding Chair : IBPSA-USA Building Data Exchange Committee (IBPSA-USA BDE)
- Secretary : ASHRAE Technical Committee 4.2 - Climate Information (TC 4.2)
- Research Subcommittee Chair : ASHRAE Technical Committee 4.5 – Fenestration (TC 4.5)
- Voting Member : ASHRAE Standing Standards Project Committee 232 – Specifications for Building Data Schemas (SSPC 232)
- Voting Member : ASHRAE Standing Standards Project Committee 205 – Standard Representation of HVAC&R Performance Data (SSPC 205)
- Voting Member : ASHRAE Standards Project Committee 229 – Evaluation of Ruleset Protocol Implementation (SPC 229P)
- Past Voting Member : ASHRAE Standing Standards Project Committee 209 – Simulation-aided Design (SSPC 209)
- Past Voting Member : ASHRAE Technical Committee 4.7 – Energy Calculations (TC 4.7)
- Member : IES Daylighting Metrics Committee
Fred Betz
Co-Founder & Principal
Fred is a nationally recognized expert in energy efficiency, resilience, and the optimization of complex facilities. With a Ph.D. in Building Performance and Diagnostics from Carnegie Mellon University and a background in mechanical engineering, Fred brings over 16 years of specialized experience in mechanical systems and building performance consulting. His project portfolio includes high-stakes environments such as hospitals, laboratories, data centers, and large-scale corporate facilities—where operational continuity, system redundancy, and environmental control are critical. Fred has authored more than twenty peer-reviewed publications on a wide range of topics, including deep energy retrofits, HVAC system design, water efficiency and reuse, infection control in healthcare settings, and climate-responsive engineering. His work combines applied research with field implementation to advance performance-driven design. Fred also contributes to the development of industry standards through active roles in committees with ASHRAE and the American Society for Health Care Engineering (ASHE), helping to shape best practices across the built environment.
Expertise
Indutry Leadership
- Chair : ASHRAE Standards Project Committee 191 - Water Balance & Efficiency (SPC 191P)
- Corresponding Member : ASHRAE Technical Committee - Building Environmental Impacts and Sustainability (TC 2.8)
- Member : Sustainability Committee - ASHE Project Database Task Force

Partnerships

Satish Pethkar
Director of Digital Development, BuildTechno Solutions
Satish is a seasoned full-stack developer with 14+ years of experience building scalable desktop and web applications across banking, healthcare, media, and enterprise productivity domains. He brings deep expertise in frameworks like Django, AngularJS, React, and Node.js, along with strong backend experience using MySQL and MongoDB.
Satish has plays a key role in the development and deployment of NML's Jarvis platform for AI-powered building analytics. His work spans interactive front-end design, real-time data visualization (Highcharts, Three.js, D3), and cross-platform application deployment using AWS, Azure, and Electron. He collaborates closely with NML’s engineering and data science teams.
Parag Rastogi
Managing Director, Indra Science Limited
Parag holds a PhD from the LIPID group at EPFL (École Polytechnique Fédérale de Lausanne), where his research focused on quantifying and mitigating uncertainty in building performance simulations, particularly from weather data and material thermal properties. With a deep background in building physics, environmental modeling, and climate-resilient infrastructure, Parag brings a rigorous, data-driven perspective to NML’s work. He is a key collaborator in NML’s development of high-resolution, stochastic climate datasets to support predictive modeling and generative design workflows. Parag’s interdisciplinary expertise bridges environmental science, simulation, and policy - advancing tools that enable smarter, healthier, and more resilient buildings.


Ehsan Mousavi
Associate Professor and Endowed Chair in the Department of Construction Science and Management (CSM), Clemson University
Ehsan Mousavi is an Associate Professor and Endowed Chair in the Department of Construction Science and Management (CSM) at Clemson University. He also holds a courtesy appointment in the Nieri Family Department of Construction and Real Estate Development. Dr. Mousavi earned his Ph.D. from the University of Nebraska in 2015 and brings a broad range of industry experience, having worked on dam, road, building, and healthcare construction projects. His research focuses on indoor air quality, particularly in healthcare environments, with an emphasis on the role of environmental and engineering parameters—such as ventilation rate and arrangement, temperature, filtration, and door motion—in the spread of airborne contaminants and pathogenic agents. He has conducted both experimental and computational studies aimed at improving patient safety and environmental performance in clinical settings.
His collaboration with NML focuses on collecting and analyzing ventilation data for the NYSERDA Operating Room Big Data project with the ultimate goal of determining an optimal ventilation rate to operating rooms to prevent airborne surgical site infections.
Contact
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+1 608-571-3850