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We make your company more money and save your employees time using AI.
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Improved and deployed an NLP model that increased auditor efficiency by 55%
Their technical team had been forced to a standstill after their MVP model accuracy had plateaued. With a very limited data set, we increased accuracy of the company’s core model by 15% and auditor efficiency by 55%.
They were reliant on a manual process to collect security survey data. We built a Question-Matching model that automated large parts of their diligence process. We also developed a strategic technical roadmap so the company could continue to drive additional model gains.
Automated a security compliance startups’ due diligence process using NLP
The company was unable to automate the detection of business expenses and categorize their customers’ transactions, significantly reducing the usefulness of their product. In one month, we built a PoC of a predictive
model to classify transactions into corresponding categories with a baseline accuracy high enough to green-light further development.
The company set out to automate a highly manual process: tagging transactions as personal or business-related expenses. However, they did not have the technical expertise to build and implement a customized ML architecture and model.