Challenge

SnapDragon Monitoring is a start-up that monitors the internet on behalf of brands, checking for any infringements of intellectual property rights. They offer this as a service to companies who wish to monitor online marketplaces for the sales of counterfeit goods.

SnapDragon had attempted to build a machine learning tool to automate part of their service, in collaboration with a local university. The approach had worked in theory but had not been fully implemented and was not being used by the business. Ortom was approached to review the current approach and advise on improving it and developing a strategy for effectively using machine learning to help scale the business.

Solution

Ortom conducted a full review of the business to understand exactly where machine learning could help and what had happened in the previous attempt. We conducted in-depth interviews with all of the people who were involved in the project and reviewed all existing code and documentation.

Their depth of knowledge in their field is impressive. Ortom really knows what they’re talking about.

Kieron Smith
CTO, Snapdragon Monitoring Ltd

Results

• Resolved Implementation Issues: We found that while some good work had been done, the team that was due to use the solution did not have faith that it was giving the right answers. We found a reliably simple solution to this problem by altering the way the output from the model was interpreted, reducing the number of false negatives immediately.

• Strengthened Team Capabilities: We helped Snapdragon to hire a new data scientist to take over the development of the ML solution. We assisted in selecting CVs, interviewing candidates, and ultimately recruiting a high-quality employee. Ortom worked with the recruit to ensure a smooth handover and productive onboarding.

All of the stakeholders are very happy with the outcome.

Conclusion

SnapDragon was able to develop an ML-driven product by working with Ortom. All the previous work did not go to waste, and they were able to hire and make the most of a great new employee.

Tom, and his work, were very well received by the whole company and, as such, I have no hesitation in recommending him to any business requiring assistance with their AI/ML-related activities.