Client Experiences
WHAT CLIENTS
SAY ABOUT
WORKING WITH US
Feedback from Singapore businesses that engaged Synthari for computer vision development — in their own words.
Back to Home40+
Engagements Completed
4.9
Average Client Rating
72%
Pilots Leading to Full Build
3+
Years in Operation
Client Reviews
WHAT CLIENTS
HAVE SHARED
"What stood out was how much time they spent reviewing our existing camera footage before agreeing to any scope. They told us upfront that two of our three proposed use cases were borderline — and explained exactly why. That level of honesty made it easy to trust the rest of the engagement."
Rajesh Kumar
Operations Manager · Manufacturing · Jurong
January 2025
"We started with the scoping pilot because we genuinely didn't know if our packaging line was a good fit for visual inspection. The pilot confirmed it was — and the written appraisal was detailed enough that we could share it with our operations director and CFO without needing to translate anything."
Serene Heng
QC Supervisor · FMCG · Tuas
February 2025
"The detection model has been running for about four months now. It performs well within the limits they documented — accuracy drops a bit under low ambient light, which they flagged before delivery. Knowing that in advance let us set appropriate thresholds rather than treating every alert as equally reliable."
Marcus Tan
Facilities Manager · Logistics · Changi
January 2025
"We'd had a previous bad experience with a vendor who overpromised significantly. Synthari's approach was refreshingly different — smaller scope, clear deliverable, honest numbers. The class definition workshop was particularly useful; it forced us to articulate what we actually meant by 'defect' across three product lines."
Li Wei
Head of Production · Electronics · Woodlands
December 2024
"The handover session was the thing that surprised me most. They didn't just demo the system — they walked our quality team through the retraining process step by step and made sure three different people understood how to run it. That's what 'documentation' actually looks like when it's done properly."
Priya Nair
Quality Director · Precision Engineering · Sembawang
February 2025
"We engaged the scoping pilot specifically because we weren't sure whether our surface inspection challenge was a vision problem or a sensor problem. The honest answer was: a bit of both. They helped us understand what part of it vision could address and what it couldn't, which saved us from an expensive build in the wrong direction."
Chen Hui
Process Engineer · Pharma · Biopolis
January 2025
Case Studies
ENGAGEMENTS
IN DETAIL
Three representative project histories — challenge, approach, and outcomes.
ASSET TRACKING — LOGISTICS FACILITY, CHANGI
Object Detection System · 6 weeks · SGD 2,680
Challenge
A logistics operator needed to track the movement of high-value equipment across a large warehouse. Manual log-keeping was inconsistent and produced gaps in the audit trail during shift changes.
Approach
We surveyed the facility, identified optimal camera positions, and trained a detection model on 1,400 labelled images. Detection classes were defined with both warehouse supervisors and the compliance team to align with reporting needs.
Outcome
The model achieved 91% precision on the agreed class set under normal lighting. Audit trail gaps during shift changes were eliminated. System has been running for five months without requiring retraining.
SURFACE DEFECT INSPECTION — PCBA MANUFACTURER, WOODLANDS
Visual Quality Inspection · 5 weeks · SGD 1,580
Challenge
An electronics manufacturer was experiencing a rise in solder defects being missed during manual visual inspection, leading to downstream rework and occasional field returns from B2B customers.
Approach
Starting with a Scoping Pilot, we assessed image data quality from the existing inspection station camera. The full Visual Inspection engagement followed. Five defect categories were defined with the QC team and validated against a set of known-bad samples.
Outcome
Flagging rate on targeted defect categories improved significantly. The QC team now uses model alerts as a secondary check alongside manual review — the combined approach reduced rework rates by approximately 30% over the first two months of operation.
FEASIBILITY ASSESSMENT — COLD CHAIN FACILITY, TUAS
Scoping & Pilot · 3 weeks · SGD 720
Challenge
A cold chain logistics operator wanted to explore using computer vision to detect open refrigeration unit doors during loading operations — a recurring issue causing temperature compliance failures.
Approach
We conducted a remote site review and assessed lighting conditions and camera placement. A small pilot using sample footage confirmed that steam condensation in the loading bay would consistently impair detection reliability.
Outcome
The written appraisal recommended against a full computer vision build for this specific use case, citing the condensation issue. We outlined two alternative sensor approaches better suited to the environment. The client saved significantly in avoided build costs.
Credentials
PROFESSIONAL
TRUST INDICATORS
SGInnovate Programme Partner
Recognised participant in Singapore's deep tech commercialisation ecosystem.
PDPA-Compliant Data Handling
All client data managed under Singapore Personal Data Protection Act guidelines.
IMDA-Recognised AI Vendor
Listed with the Infocomm Media Development Authority vendor registry.
EDG-Eligible Engagements
Qualifying projects may be supported under Singapore's Enterprise Development Grant.
Contact
GET IN TOUCH
Phone
+65 6847 2063Address
1 Science Park Road, #05-17
The Capricorn, Singapore 117528
Working Hours
Mon–Fri: 9:00 AM – 6:00 PM SGT
Sat: By appointment
Sun: Closed
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EXPERIENCE TO THIS?
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