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Our Technologies

Technology Stack Illustration
Tech Stack

We Use Advanced Tools for Modern AI Development

At DElogica, we believe that the quality of AI depends on the tools used to build it. We continuously invest in training and licensing the best software in the industry.

Python & R - Leaders in Data Science
TensorFlow, PyTorch & Keras for Deep Learning
AWS, Azure & Google Cloud Platform

50

+ TB Data Processed

99

% System Uptime

AI System Architecture
Infrastructure

Key Pillars of Our Development

Tech FAQs

Common Technical Questions

Python is our primary language for AI development due to its rich ecosystem (Pandas, TensorFlow). For high-performance systems and embedded devices, we may use C++ or Java.

We offer both. Cloud solutions (AWS, Azure) are more scalable, while On-Premise solutions are often preferred for highly sensitive data requiring offline processing.

We use REST API architecture and microservices (Docker/Kubernetes). This allows us to "plug" intelligent modules into your ERP or CRM without disrupting its core operations.

We combine the best of both. We leverage powerful base models (like BERT or GPT) and fine-tune them with your specific business data for maximum accuracy and relevance.

We apply DevSecOps practices, static code analysis, and strict data encryption both in transit and at rest. We adhere to ISO 27001 information security standards.

We are experienced with leading RPA platforms, including UiPath and Microsoft Power Automate, to create reliable software bots that mimic human actions.

Yes, our engineers are proficient in Apache Spark and Hadoop ecosystems, as well as NoSQL databases like MongoDB and Cassandra for processing large unstructured datasets.

Yes, we develop white-label software modules that you can brand and integrate as part of your own product portfolio for your end clients.
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