Real experiences from Singapore organizations that have worked with Synthos to implement AI solutions tailored to their specific needs.
Return HomeFeedback from organizations across various sectors in Singapore
Singapore, Central
Working with Synthos was different from our previous AI consultancy experiences. They spent considerable time understanding our operational constraints before proposing solutions. The model they developed actually fits our workflow rather than requiring us to adapt to new technology.
December 18, 2024
Jurong, West
The proof of concept project helped us make an informed decision about whether AI suited our needs. Synthos was straightforward about limitations as well as capabilities. We appreciated the honest assessment and clear documentation they provided throughout.
January 2, 2025
Tampines, East
Our computer vision system has been operating reliably for eight months now. The team provided thorough training and documentation, so our staff can handle routine maintenance independently. Response times when we do need assistance are consistently good.
December 27, 2024
Ang Mo Kio, North
The iterative development approach gave us confidence that the project was heading in the right direction. Regular checkpoints allowed us to provide input and see progress. The final system exceeded our initial expectations for accuracy.
January 4, 2025
Woodlands, North
Synthos helped us understand which aspects of our operations could genuinely benefit from AI and which were better addressed through simpler solutions. This honest guidance saved us from investing in unnecessary complexity.
December 15, 2024
Bedok, East
The machine learning model they developed processes data much faster than our previous manual approach while maintaining accuracy. Documentation is clear enough that our internal team can understand how the system works and when to seek assistance.
December 22, 2024
Clementi, West
Communication throughout the project was excellent. Technical concepts were explained without excessive jargon, and we always knew what to expect at each stage. The collaborative approach made us feel like partners rather than just clients.
January 3, 2025
Bishan, Central
Starting with a proof of concept was the right decision for us. It demonstrated feasibility without requiring major commitments. Based on those results, we proceeded with full implementation and have been pleased with the outcomes.
December 29, 2024
Queenstown, Central
The ongoing support arrangement has been valuable as we encounter edge cases and evolving requirements. Having access to the development team means issues get resolved quickly and the system continues performing well.
December 20, 2024
Detailed case studies demonstrating how AI implementation addressed specific organizational challenges
INDUSTRY: Electronics Manufacturing
SERVICE: Computer Vision Application
DURATION: 10 weeks
A mid-sized electronics manufacturer needed to improve quality inspection accuracy while reducing inspection time. Manual visual inspection was catching approximately seventy-eight percent of defects, with some types of flaws particularly difficult for human inspectors to identify consistently under production line conditions.
We developed a computer vision system optimized for their specific lighting conditions and product variations. The system was trained on thousands of images representing both acceptable products and various defect types. Integration with existing conveyor systems allowed real-time inspection without disrupting production flow.
94%
Defect Detection Rate
45%
Faster Inspection Time
"The vision system caught defects we had been missing consistently. False positive rates are low enough that our team trusts the system's assessments. Implementation was smoother than we anticipated." - Operations Director
INDUSTRY: Financial Services
SERVICE: Machine Learning Model
DURATION: 14 weeks
A financial services firm wanted to improve how customer inquiries were routed to appropriate specialists. Manual triage meant customers sometimes needed to be transferred multiple times, leading to frustration and longer resolution times. The organization sought a system that could analyze inquiry content and direct customers more effectively.
We built a classification model that analyzes inquiry text to determine the most appropriate department and urgency level. The system was trained on historical inquiry data with known outcomes. Integration with their existing ticketing system allows immediate routing suggestions while maintaining human oversight for complex cases.
38%
Reduction in Resolution Time
89%
Routing Accuracy
"Customer satisfaction scores improved noticeably after implementation. Fewer transfers means happier customers and more efficient use of specialist time. The system continues learning from feedback." - Customer Experience Manager
INDUSTRY: Retail & Distribution
SERVICE: Machine Learning Model
DURATION: 12 weeks
A retail distribution company struggled with inventory management—frequent stockouts on some products while others sat idle in warehouses. Their existing forecasting methods relied heavily on historical averages without accounting for seasonal patterns, promotional effects, or external factors that influenced demand.
We developed a time series forecasting model that incorporates multiple variables: historical sales patterns, promotional calendars, seasonal trends, and relevant external indicators. The system generates forecasts at different time horizons and provides confidence intervals to support inventory planning decisions.
52%
Reduction in Stockouts
23%
Lower Inventory Carrying Costs
"Forecast accuracy improved substantially, particularly for products with seasonal patterns. Better predictions mean we can meet customer demand without maintaining excessive safety stock. ROI exceeded our projections." - Supply Chain Director
Key metrics reflecting our experience and client satisfaction
Years of Experience
Developing AI solutions in Singapore
Projects Completed
Across multiple industries
Average Rating
Client satisfaction score
Team Certified
Professional qualifications maintained
Multiple ways to reach us for inquiries or project discussions
1 Raffles Place, #44-01
One Raffles Place Tower 2
Singapore 048616
Monday - Friday: 9:00 AM - 6:00 PM
Saturday: 10:00 AM - 2:00 PM
Sunday: Closed
Experience the Synthos approach to AI implementation—collaborative, transparent, and focused on practical outcomes suited to your organization.