What Teams Say After Working With Us
Engineering leads and product managers on their experience with Skerry Labs — what worked, what surprised them, and what they'd tell other teams.
← Back to HomeFrom the Teams We've Worked With
Khairul Hakim
Hardware Lead, Petaling Jaya
"We'd been going back and forth on whether our Raspberry Pi-based sensor node could run the inference locally. The feasibility review answered that in about a week and saved us from a larger investment that wouldn't have worked. Clear write-up, honest assessment."
April 2025 · Edge Feasibility Review
Siew Wei Lim
Engineering Manager, Shah Alam
"The On-Device Setup went smoothly. The update routine they put in place has held up well — our team ran the first model refresh on their own without needing to call Skerry Labs back. That was the goal and it worked. Timeline was roughly what they estimated."
March 2025 · On-Device Setup
Roshan Balakrishnan
CTO, IoT Startup, Cyberjaya
"We needed a fleet of 40 devices running consistent inference. The Deployment Programme was structured in a way that gave our team the review process and the documentation to manage it ourselves going forward. The maintenance handbook in particular has been referenced many times since."
April 2025 · Edge Deployment Programme
Nur Aisyah Zainuddin
Product Lead, Kuala Lumpur
"I appreciated that they told us early on what wouldn't work with our device before spending money on setup. The written summary from the feasibility review was detailed enough that we could take it to our board to justify the next steps. Communication throughout was straightforward."
May 2025 · Edge Feasibility Review
Tan Chin Wei
Senior Engineer, Selangor
"Three weeks for the On-Device Setup, which was in line with what they estimated. The training session was the part we found most valuable — not just being shown what was built, but understanding why the update routine is structured the way it is. That kind of context made a difference."
April 2025 · On-Device Setup
Farah Hanim Mohd Yusof
R&D Director, Klang Valley
"We came in not sure which service was right for us. They helped us figure that out in the initial conversation without pushing for the larger engagement. We started with the feasibility review, which gave us enough clarity to move forward with confidence."
March 2025 · Edge Feasibility Review
Selected Project Summaries
A closer look at how three engagements developed and what the teams involved took away from them.
Fleet of 38 devices, inconsistent cloud dependency
Challenge
A manufacturer running 38 edge sensing devices was routing all analysis through a cloud endpoint due to connectivity gaps at two factory sites. When connectivity dropped, data was queued and processed later — causing 20–40 minute lags in anomaly detection.
Solution
Skerry Labs assessed device specs against the inference workload, configured local builds across all 38 units, and designed a review cycle to monitor drift between device versions. A maintenance handbook covered fleet update procedures step by step.
Outcome
Anomaly detection now runs locally on all devices, independent of connectivity. The engineering team completed their first fleet-wide model update using the documented routine without external support. Engagement ran 7 weeks.
"The review cycle they set up has become part of our standard process now. It's not just something we do because we were told to — it actually catches configuration drift early."
Single-device prototype, no clear update path
Challenge
A product team had a working cloud-based inference setup but needed to demonstrate local processing on a prototype for an upcoming investor review. They had the device, but no clear path to get a model running on it reliably.
Solution
The On-Device Setup service took the existing model through a quantisation step to fit device memory constraints, configured the inference runtime, and documented the update procedure so the team could refresh the model ahead of the demo.
Outcome
Prototype demo ran successfully on local inference. Team refreshed the model twice before the review using the documented procedure. Setup completed in two and a half weeks. The team subsequently moved forward with the Deployment Programme for production rollout.
"The training session changed how our team thinks about the device. Before, it was a black box. Now it's a well-understood component with a known maintenance procedure."
Engagement Track Record
4+
Years of edge deployment focus
37
Completed engagements
4.7
Average client rating
94%
Deployments running 12+ months post-handover
Want to Discuss Your Project?
Reach us directly — we're based in Shah Alam and work with teams across Malaysia.
Phone
+60 3-5022 7461Address
Suite 12-2, UOA Business Park, Shah Alam
Hours
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