Take a Look At Some of
Our Projects
These case studies demonstrate how we can take on repetitive or tedious tasks across a variety of use cases, freeing up your team’s time to focus on what truly matters. From streamlining operations to improving efficiency, we tailor our support to meet your unique needs and help you achieve better results with less effort.


Optimizing Grocery Inventory Data Annotation
Delicious AI uses AI models to help grocery stores optimize their inventory by analyzing drink products on shelves.
We’ve partnered with them for over 4 years, providing ongoing image labeling of grocery store drinks and continuously updating data to ensure their AI system remains accurate and effective. Our collaboration with their machine learning engineers has been key to improving the AI’s performance, helping grocery stores better manage inventory and enhance operational efficiency.
Ensuring Up-to-Date
Data for Clients
Data Entry
Rightside Data specializes in delivering high-quality, targeted email leads to clients worldwide.
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We’ve partnered with them to manage daily data entry operations, ensuring their lead datasets remain accurate and up-to-date. By extracting data from over 30 websites and updating it daily in Google Sheets, we’ve helped streamline their data processes, enabling them to provide reliable leads and drive better results for their clients.



Streamlining RFP Management with AI
Data Entry
We partnered with a client to significantly reduce their team’s manual workload in managing RFPs. The project involved handling RFP PDFs and automating their integration into the client’s custom GPT-powered software.
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By taking on tasks such as ingesting RFP PDFs, filtering them for relevance, and inputting the data into their system, we helped streamline their operations. This allowed their team to focus on higher-value activities while ensuring faster and more accurate processing of RFPs.
Enhancing AI for City Management
Image Labeling
A leading AI-driven platform helps cities identify properties with issues like crumbling roofs or abandonment. We’ve supported their efforts by refining their AI models through precise data labeling and annotation. By ensuring the accuracy of the data used for predictive analytics, we’ve helped enhance their AI’s capabilities, enabling more informed decision-making for city management and infrastructure planning.
