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Reducing Audit Risks in Tax Filings with Deep Learning
Crater Labs developed a neural network to highlight potential risk factors in R&D tax credit submissions, saving hundreds of hours in audit defence times.
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Surfacing and categorizing 3 million+ risks for Fortune 500 businesses
We developed a custom ML model that was able to surface, identify and classify 3 million+ risks pertinent to any specific company and industry.
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Improving tracking & forecasting for Canada’s leading billing software solution
We built a proprietary anomaly detection and billing model that improved accuracy by 3 percentage points, unlocking millions of dollars in savings for our client’s customers.
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