Client Voices
What our clients say,
in their own words.
We do not curate only positive feedback. These reflect the range of experiences organisations have had working with us.
β Back to HomeClients served
Satisfaction rate
Years in Hong Kong
Average rating
From recent engagements
Karen Wu
Operations Director, Retail β Kowloon
"We came to coorvid with a fairly specific problem β product misidentification in our warehouse imaging system. They asked good questions before proposing anything, which was a pleasant change. The model they delivered performed above the threshold we had agreed, and the documentation meant our internal team could continue without hand-holding."
January 2026
Marcus Tang
Head of Analytics β Financial Services, Wan Chai
"The Customer Insights engagement surfaced a churn pattern in one of our smaller product lines that we had not expected. The dashboard they built made it straightforward to present the findings upward. I would have appreciated slightly more frequency in progress updates midway, but the final output was strong and the team was accessible when I reached out."
December 2025
Amanda Lau
CEO β Logistics SME, Kwai Chung
"We used the Proof-of-Value engagement as a way to test an idea before committing to a larger project. coorvid was candid that the results were promising but not conclusive enough to scale immediately. That was exactly the honest assessment we needed β and it saved us from a premature investment. We are planning a follow-on engagement this quarter."
January 2026
Raymond Chan
IT Manager β Manufacturing, Tuen Mun
"The defect detection system has been running for four months without meaningful issues. More importantly, the API integration with our existing MES was cleaner than I expected β they had clearly thought about maintainability. I have already referred two contacts in similar manufacturing contexts."
February 2026
Patricia Yeung
Marketing Lead β Professional Services, Central
"The segmentation model gave us three distinct client profiles that we had not previously distinguished. Our campaign targeting has improved meaningfully since we started using the segments. The initial scope conversation was thorough β I appreciated that they pushed back on one of my assumptions before it became a problem later."
December 2025
James Ng
COO β Healthcare Administration, Sha Tin
"Data handling was the principal concern for our board before we engaged coorvid. The data processing agreement they put in place was clear and appropriate. The document classification system they built has reduced processing time measurably. The handover documentation was thorough enough that our internal team required very little support afterwards."
January 2026
Case studies
Defect Detection in a Precision Parts Manufacturer
Image Recognition β 9 weeks
Manual inspection was catching approximately 70% of surface defects on small precision components. The remaining 30% were reaching downstream assembly and causing rework costs.
We developed a computer vision model trained on the client's own historical inspection images, integrated with their existing production line camera system via an API endpoint that flagged components in real time.
Detection rate reached 94% within four months of deployment. Rework costs reduced by approximately 35% in the same period. The model has been running independently for six months.
"The benchmark we agreed on was 88%. coorvid delivered above it. That level of clarity from the start made the whole project easier to manage internally."
Churn Reduction at a Specialty Retailer
Customer Insights β 6 weeks
Customer attrition was increasing without an apparent cause. The marketing team suspected seasonal factors but lacked the data analysis capability to confirm or challenge that hypothesis.
We built a churn prediction model using 18 months of transaction, interaction, and support data. The model identified three behavioural patterns preceding churn that were not season-dependent.
Targeted interventions based on the model's outputs reduced churn in the flagged segment by 22% over two quarters. The dashboard continues to be used by the marketing team without external support.
"The dashboard coorvid built is something our team uses every week. The patterns it surfaced changed how we think about our customers."
AI Readiness Exploration at a Property Services Firm
Proof-of-Value β 3 weeks
The firm wanted to explore whether AI could automate elements of their property inspection reporting process. The hypothesis was interesting, but the data environment was unclear.
A Proof-of-Value engagement was scoped around a single report type. We assessed the available data, applied document classification techniques, and measured performance against a test set.
Performance on the test set was below the threshold needed for practical automation. coorvid advised against a full-scale investment on that specific use case and identified an alternative workflow that may be more tractable.
"A negative result done well is still useful. coorvid explained clearly why it did not work and pointed us toward something that might. That is exactly what a Proof-of-Value should do."
Professional recognition
HKICT Award Finalist 2024
Recognised in the AI and Data Analytics category for industrial image classification work.
ISO 27001 Aligned
Information security practices aligned with ISO 27001, covering client data handling across all engagements.
Science Park Tenant
Based at Hong Kong Science Park since 2020, with access to research infrastructure and professional networks.
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