Enabling the Indian Electric Vehicle Transformation 

Smart Electric

We understand the unique challenges in adoption of Electric Vehicles at scale. We address key problem areas such as battery analytics, charging infrastructure, safety and centralised control. We leverage ML and AI to better predict the driving range and battery life-cycle for the practical use case. We can custom build end to end solutions from hardware to software and the associated analytics for data-driven decision making.

DATA ACCURACY PROCESS FLOW

3

TINY AI

4

ENCRYPTION

5

ANALYTICS

1

2

HARDWARE

PROCESSOR

Our hardware uses
inertial frame
accelerometer sensor,
oscillating Gyroscope
sensor &
Magnetometer sensor
to provide deep data
points for processing

The high frequency
data points are
processed locally on
Linux OS using a
powerful 1.5GHz
processor

Tiny AI-enabled black
box to carry out
motion processing at a
dynamic frequency and
queuing systems to
push the most vital
data to the cloud

Multi-layered
encryption is
performed on the data
by our proprietary
firmware which uses
HTTPS protocol rather
than industry standard
TCP IP to communicate
with the cloud

This encrypted data is
processed using
complex Machine
Learning models and
Big data analytics to
predict battery
behaviour and enhance
vehicle performance