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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.
DATAFOREST – Product and Data Engineering company. We apply Data Science techniques along with Web Development to build for our clients’ custom data driven products, improve data management, optimize infrastructure. We have over 15 years expertise in business automation, large-scale data analysis and advanced software engineering.
Python
Integrations
ERP
Databases
Data Analytics and Visualization
Conversational AI
PostgreSQL
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RELEVANT TALENT
CASE STUDIES
Medical Lab Achieves 50% Compute Savings via Databricks MigrationThe challenge involved transforming static SQL scripts into functional jobs to improve automation and consistency across data workflows, enhancing scalability and reducing maintenance overhead.
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