Case studies
Illustrative engagements where our work informed high-stakes capital and operational choices. Each study presents the context, the problem, and the outcomes. If any of these look familiar, your situation likely has more overlap than the title suggests.
Town of Chelmsford, MA — Public School Building Electrification Roadmap Study
Nine school facilities and a pathway call that a mere electrification timeline alone could not settle. The Town of Chelmsford put the question out to competitive bid: build a basis for evaluating electrification vs continued operation — capital, utility, and maintenance on one 28-year time frame.
We did not recommend a specific pathway. Instead, we delivered a decision-support framework — a common basis — so decision-makers with different mandates could put both pathways on the table and hash out what fits their budgets and constraints. Publicly available; later attached as a reference method on the Town’s follow-on RFP.
Coming soon
US Department of Energy — Urban Fleet Energy Optimization
The UPLIFTS Phase I project was a physics-based feasibility study of software-only velocity schedule optimization for urban electric fleet operations. The analysis spanned 22 drive cycles representing dense-urban, urban-suburban, vocational, and boundary operating conditions, paired with five electric vehicle archetypes covering passenger cars through heavy articulated buses. Energy savings were modeled as physics-based upper bounds under idealized execution, with a conservative 10–30% real-world planning range carried into commercialization.
Coming soon
Decision support for the operator in the loop
Complex operations put operators in environments that degrade situational awareness faster than any system currently measures it. The data is there. The degradation is happening. But no tool is tracking whether the human-machine team is still performing at the level the mission requires.
Work with us.
Every situation has its own constraints. If it's the right fit, we can usually figure that out in one conversation.