56 results:
In just 4 weeks, ScienceSoft provided a top high-tech bank with a functional concept, a technical design, and an implementation plan for an LLM-powered smart search solution. Our advice on the cost-effective tech stack and hardware ensured optimized project investments.
ScienceSoft created a CNN-based application to automatically analyze brain MRI scans, localize tumors, and define each tissue type.
ScienceSoft supported a leading FMCG manufacturer by delivering science-based sales forecasting and attainable sales targets.
ScienceSoft’s senior data scientist helped deliver an ML-powered software product for automated dental insurance fraud detection. The ISO 13485-compliant medical image recognition algorithms demonstrated 95% accuracy.
ScienceSoft has evolved a SharePoint DMS and built an RFI submission vendor portal for a Gulf-based drilling company. The portal is powered with an AI algorithm for extracting data and digitizing handwritten notes in RFIs, which demonstrates 87–90% accuracy.
ScienceSoft built a self-service portal for Country Natural Beef, giving ranchers easy access to payment and harvest insights. AI-assisted development helped the team complete selected tasks an estimated 1.5–8x faster.
ScienceSoft helped Cerulean replace an unreliable AI model with a production-ready computer vision solution that delivers 97% inspection accuracy and processes nicotine pouches 6 times faster than before.
ScienceSoft empowered a leading oil drilling equipment manufacturer with an application for detecting drill bit defects and performing drill bit wear analysis. The solution is based on machine learning and visual recognition algorithms.
Within just 3 months, the Client received a proof of concept for a machine vision model meant to identify and track single-use sterile surgical supplies. Demonstrating high accuracy, the PoC is ready to be presented to investors.
A desktop image recognition software for a leading petrochemical company. The solution improved quality control at a company's PU film manufacturing division, identifying film defects in real time.
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