What Our Clients Say

Real experiences from Singapore organizations that have worked with Synthos to implement AI solutions tailored to their specific needs.

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Client Experiences

Feedback from organizations across various sectors in Singapore

JL

James Lim

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

PT

Priya Tan

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

MK

Marcus Koh

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

SR

Sarah Rajendran

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

DW

Daniel Wong

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

AL

Amanda Lee

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

VK

Vikram Kumar

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

EO

Emily Ong

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

RT

Richard Tan

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

Success Stories

Detailed case studies demonstrating how AI implementation addressed specific organizational challenges

Manufacturing Quality Control

INDUSTRY: Electronics Manufacturing

SERVICE: Computer Vision Application

DURATION: 10 weeks

The Challenge

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.

The Solution

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.

The Results

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

Customer Service Optimization

INDUSTRY: Financial Services

SERVICE: Machine Learning Model

DURATION: 14 weeks

The Challenge

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.

The Solution

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.

The Results

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

Inventory Demand Forecasting

INDUSTRY: Retail & Distribution

SERVICE: Machine Learning Model

DURATION: 12 weeks

The Challenge

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.

The Solution

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.

The Results

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

Our Track Record

Key metrics reflecting our experience and client satisfaction

6

Years of Experience

Developing AI solutions in Singapore

47

Projects Completed

Across multiple industries

4.8

Average Rating

Client satisfaction score

100%

Team Certified

Professional qualifications maintained

Professional Credentials

  • AWS Machine Learning Specialty certified team members
  • Singapore Data Protection certification maintained
  • Google Cloud Professional ML Engineer credentials
  • Active members of AI Singapore ecosystem

Industry Recognition

  • Singapore Computer Society member organization
  • Contributing participant in regional ML communities
  • Regular speakers at technology industry events
  • Published research in applied machine learning

Get in Touch

Multiple ways to reach us for inquiries or project discussions

Phone

+65 6471 3852

Available during business hours

Email

[email protected]

Response within one business day

Office Location

1 Raffles Place, #44-01
One Raffles Place Tower 2
Singapore 048616

Business Hours

Monday - Friday: 9:00 AM - 6:00 PM

Saturday: 10:00 AM - 2:00 PM

Sunday: Closed

Join Our Satisfied Clients

Experience the Synthos approach to AI implementation—collaborative, transparent, and focused on practical outcomes suited to your organization.