Healthy Building Solution
INVESTORS
AI for small
and medium
manufacturers.
There is a large-scale AI opportunity to transform the performance of small to medium manufacturing (SMM) through improved productivity, energy and maintenance.
OPPORTUNITY
Low-cost sensors, AI and patience.
Machine learning and AI tools combined with
low-cost sensors, applied to manufacturing.
Multimodal sensor fusion
AI accelerates results with less expertise and labor, starting from combined sensor data.
Digital twin modeling
Models of manufacturing processes and energy systems.
Business case analysis
Analysis and reporting that turn findings into projects.
- HBS sustains long-term partnerships with SMMs ($1B+ market) to enhance productivity, energy, sustainability and maintenance.
- SMMs commonly don’t have the technical expertise to identify and implement technology solutions, and therefore hesitate to invest.
- There’s significant opportunity to improve, but it requires the right solution, a low barrier to entry, and patience to develop client confidence.
BACKGROUND EXPERTISE
Rutgers CAES, since 1992.
The Rutgers University Center for Advanced Energy Systems (CAES) has been the Field Manager for the US Department of Energy’s Industrial Training and Assessment Center (ITAC) program since 1992. Rutgers CAES are experts in helping SMMs with energy, productivity and maintenance solutions, and in providing experiential university education.
Dr. Todd Rossi, Associate Director of Rutgers CAES, is an experienced technology entrepreneur, technology developer and university professor.
TRACTION & INVESTMENT
Where HBS is today.
BUSINESS MODEL
How HBS grows.
AI tool set
Deepen the AI tool set to accelerate improved productivity, energy and maintenance performance without extensive labor and expertise.
Low barriers to start
Free assessments and initial sensor deployments, and help planning and executing initial projects, to build client confidence.
Long-term partnerships
Nurture an ongoing stream of profitable improvement projects that benefit clients, HBS and the public good (e.g. federal, state and utilities).
Scalable platform
Build out a scalable, high-margin technology platform that requires less personal touch as solutions are standardized and automated.
Low-cost sensors
Deployed initially without cost to uncover the deeper opportunities: electric current (power); compressed air pressure and flow rate; environmental conditions (temperature, humidity, light level, occupancy).
Engineering AI & digital twins
Leverage appropriate engineering AI models and digital twins for deeper, more accurate insights and lower client engagement costs.
Incentives in the business case
Bring federal, state and utility money into client business cases, from programs that want manufacturers more efficient, lower-emission and more globally competitive.
Vendor referrals
Referral revenue for bringing vendors qualified opportunities.
REVENUE SOURCES
Four revenue lines.
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