Building industrial AI for CBM, PQ and EMS from Malaysian factories.
ChempakaSense is an industrial AI platform that combines vibration, RPM,
3-phase electrical measurements and energy data into one system — designed
for condition-based maintenance (CBM), power quality (PQ) and energy
management (EMS) in ASEAN factories.
Who is it for? Plant owners, maintenance teams, system integrators and grant partners.Status: Prototype hardware + cloud pipeline ready
ChempakaSense notice board
For manufacturers
Reduce unplanned downtime with CBM, PQ and EMS.
Deploy ChempakaSense nodes on critical motors, pumps, blowers and chillers.
Monitor vibration, RPM, voltage, current and energy in one platform, with
AI-driven health scores and clear reports for management.
Early-warning on bearing, alignment and looseness issues.
Power quality and THD visibility for sensitive loads.
Energy profiles for lines, areas or whole plants.
Interested in starting with a 1–3 node pilot at your factory?
We are forming a small network of qualified electrical contractors,
service companies and independent engineers to become ChempakaSense
partners for installation and first-line support.
Node rental model – monthly recurring, not one-off sales.
Technical training, proposal kits and demo materials.
Designed for industrial customers, not residential retail.
ChempakaSense is built with production-grade PCBs, an end-to-end cloud
pipeline and real industrial datasets — suitable as a foundation for NTIS,
innovation grants and university-industry collaborations.
Monitor vibration, RPM and current signatures to move away from purely
time-based maintenance. Plan bearing changes, alignment checks and
overhauls based on actual condition.
PQ · Power quality & harmonics
Track THD, sags/swells and unbalance at key panels. Correlate electrical
issues with machine trips and product scrap, and justify PQ mitigation
projects with data.
EMS · Energy management
Build energy profiles per line, area or plant. Identify high-load periods,
inefficient machines and opportunities for energy-saving projects that are
backed by real measurements.