Results for "Python”
Python
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DAC.digital is a leading European software and AI development company, specializing in delivering tailored solutions across various industries. With expertise in AI/ML, IoT, and cloud technologies, we provide end-to-end services, from ideation to deployment, ensuring innovation, scalability, and efficiency for our clients worldwide.
Python
Integrations
Cloud Computing
Architecture
Enterprise Software
API
Java
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RELEVANT TALENT
CASE STUDIES
- AI modeling and machine learning in detecting OA disease among dogsWe conducted data analysis based on the provided data sets and input data, with the help of computing resources, artificial intelligence and machine learning model, with measurements of dog movements and to distinguish between dogs with and without OA based on the collected sensor’s raw data.
We build AI-powered systems that help companies uncover high-value opportunities, accelerate workflows, and unlock new business potential. Leveraging the latest in multi-agent systems, generative AI, and computer vision, and backed by deep engineering expertise, we design and deploy enterprise-grade solutions that drive measurable ROI.
Python
AI & ML Solutions
Data Analytics and Visualization
Conversational AI
HR Platforms
E-Commerce
Next.js
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RELEVANT TALENT
CASE STUDIES
Legal Copilot: Streamlining Legal Document Workflows with AIThe legal department struggled to process multiple provider contracts efficiently, taking weeks to make subtle changes or ensure policy compliance. This manual approach created significant delays in business operations and vendor onboarding processes.
DataDrill builds data and AI solutions for the life sciences.
We design modern data platforms, automate workflows, and create tools that accelerate research, clinical, and commercial work. Our deep domain focus lets us deliver faster and with higher accuracy than general IT teams.
Python
Data Analytics and Visualization
Databases
API
AI & ML Solutions
Enterprise Software
I’m flexible
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RELEVANT TALENT
CASE STUDIES
AI ChatbotThe legacy chatbot operated on a limited 20-column table, produced generic results, and had high cost and latency. It could not support multi-intent or complex regulatory queries and lacked observability, metadata structure, and compliance confidence. The CRO needed broader coverage, accuracy, and a production-ready AI system.
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