Read about how we've been helping clients generate insights, improve and automate processes and develop their data capabilities.
Mass shootings are a significant problem. We developed a system that detects when someone takes out a weapon in your store and automatically alerts the security officer.
Most manufacturing processes go through product inspection to ensure the product meets quality check specifications. Data and AI can streamline this process, saving time and resources.
Machines have maintenance and breakdown cycles. Fixing a broken machine is more costly than maintaining an operating machine. With statistical modeling and predictive machine learning, it is possible to predict the optimal repair schedule for a given machine.
Survey Monkey with AI in the backend. Use AI to understand customer more. Provide insights and customer segmentation.
Information Security Management for email system
Read and extract information from document and make systems to manage them
A clear marketing strategy needs to understand the personality of your customers. We segment your customer base by how they behave and how they purchase to create well defined personas for your marketing teams to target.
Help video makers to auto-generate caption to their videos
Loan companies often have a hard time predicting which loans are good and which are bad. By having an AI model that learns from past loans, we are able to build a predictive model that can reduce NPL down to less than 10%.
Auto-translate and generate subtitles for Non-English
Custom Scraper With Real-time Dashboard
Using AI and data from several sources, we can help department stores recognize quiet areas and uncover traffic patterns.
In the service industry, customer feedback is one of the most important information. However, customer feedback usually comes in many formats and variations. We can use NLP to process customer feedback and generate insights from what the customers feel about your brand.
In modern economic landscape, customers are flooded with choices, where firms compete hard to stand out and give the customer the best customer experience possible. Firms that have the most insight about customers at a personal level have an edge because they know exactly the spending behaviors of all their customers, which makes it extremely predictable what they are about to buy next.
Store analytics can help spot problems and improve the capacity management of any shops, which leads to better customer satisfaction and better crisis management.
Getting prediction of typical model on physical server can be cumbersome, with the help of serverless and api gateway, we could cut down the need of having manual server spinup host the model .
Collect pods downtime and optimise the cpu/memory based on the overhead usage
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