Intelligent systems
for real operations.
We build software, robotics
and connected systems that improve
how complex work gets done.
Software and interfaces
Dashboards, workflow tools and control interfaces built around how teams actually work.
Embedded to cloud
Devices, field assets, software and cloud services designed to work together.
Robotics and controls
Control, perception and autonomy for machines and physical systems.
AI for complex engineering
AI for engineering analysis and constrained workflows where accuracy and traceability matter.
Where intelligence fits.
AI is one part of the system. We connect it to real signals, defined controls and traceable outcomes.
01
Operation
Assets, people and constraints
02
Signals
Sensors, data and workflows
03
Intelligence
Perception, retrieval, planning
04
Action
A traceable decision or control
Selected work
Work that moved the operation.
Selected work across manufacturing, vehicle controls, robotics and operational software.
3ME Technology
01
2 months to 3 days
Battery systems and manufacturing automation
Built BMS test and automation tooling that cut the manufacturing cycle. Embedded C++ work supported more than AU$4M in sales.
Embedded C++ · CAN · BMS · test automation
Vehicle electrification
02
A contract-defining prototype
Control-system reverse engineering
Reverse-engineered the control modules on a 15-tonne Volvo loader and reproduced sensor signals. The prototype led to a multi-million-dollar electrification contract.
Vehicle controls · instrumentation · systems integration
Elite Robotics
03
From sensors to motion
Autonomous electric vehicle platform
Built the C++ and ROS platform across Raspberry Pi and Jetson, integrating GPS, IMU and LiDAR for navigation and control.
C++ · ROS · sensor fusion · motion planning
Operational software
04
30% less overlap and idle time
Security patrol route optimisation
Built a Python route planner with Google Maps data, reducing overlap and idle time by 30%.
Python · route optimisation · operational tooling
Start with the hardest risk.
Review the system, prove the critical assumption, then build from evidence.
01
Understand the system
Map the operation, interfaces and failure points.
02
Prove the hard part
Test the riskiest assumption in a focused prototype.
03
Build and integrate
Integrate, validate and hand over the working system.
- Systems review
- Focused prototype
- Defined delivery
- Technical leadership
What clients say.
Clear thinking, dependable delivery and systems built for the real operation.
Bridging the gap between vision & execution
Working with Sahil was a game-changer. He was instrumental in bridging the gap between what we needed operationally and how to actually build it. His ability...
Ben Howen
Head of Product at Playlobby
Prioritizing What Matters Most
I've been fortunate to know Sahil for quite some time and I'm always eager to team up with him on new projects. Sahil's energy for crafting solutions is...
Mack Saraswat
Serial Entrepreneur
Helping deep-tech startups scale
Sahil excels in propelling early-stage product development by combining his strong business acumen with his deep technical expertise. His quick decision-making...
James Whyman
Associate Director at KPMG
Sahil Harriram · Founder and technical lead
Engineering depth. Commercial judgement.
I am a mechatronics engineer who has built embedded systems, robotics platforms and production software, then led the teams and commercial work around them.
That range helps when software, hardware and operations have to move together.
- Mechatronics engineering (Honours)
- Embedded and full-stack delivery
- Robotics, EVs and connected systems
- Product, engineering and commercial leadership
Bring us the hard system problem.
If it sits between software, hardware and the way people work, we should talk.