Deemsoft

DEEMSOFT is a software development and consulting company that provides custom software, systems integration, and technical consulting services. The organisation positions itself to serve startups, small businesses, and enterprises. Publicly listed activity counts on the site indicate staffing and engagement scale including more than 8 consultants, over 15 completed projects, and more than 1,883 support tickets handled.

Services and Capabilities

• Agentic and autonomous AI development — delivery of frameworks and platforms for autonomous agents, integration of large language models and computer vision components, and deployment of multi-component platforms.
• AI and data science — model development and optimization, data preparation and labeling, hyperparameter tuning, end-to-end model deployment, and computer vision systems for image classification and analytics using frameworks such as TensorFlow, PyTorch and OpenCV.
• Biotech and embedded systems — design and development for embedded devices and SoC platforms, microcontroller programming, RTOS-based firmware, and IoT device integration for biomedical or laboratory contexts.
• Enterprise platform integration and support — system integration and operational support for ERP and CRM platforms including Microsoft Dynamics 365, SAP S/4HANA, Salesforce (including Tableau), ServiceNow, and accounting/payment platforms like QuickBooks, Stripe and Square.
• Cloud architecture and operations — design, implementation, and management of public, private, and hybrid cloud environments using AWS, Azure, Google Cloud, Oracle Cloud and virtualization technologies.
• Applications development — full-stack development of web, desktop, and mobile applications using Java, Python, Node.js, React, MongoDB, iOS and Android toolchains.

Industry Focus

• Biotechnology and healthcare — embedded device development, genomics and informatics support, and machine learning applied to biomedical data and device protection.
• Enterprise and business services — ERP/CRM implementation, system integration, analytics and reporting, and operational support for mid-size and large business systems.
• Startups and small businesses — end-to-end application development, cloud migration and managed services tailored to smaller teams and early-stage products.
• Commerce and financial services support — integration with payment processors and accounting platforms, and implementation of transactional workflows.

Technology and Delivery Approach

• System integration focus — combining ERP/CRM systems, payment processors, analytics tools and cloud services into cohesive business workflows.
• Data and machine learning platforms — use of established ML frameworks (TensorFlow, PyTorch), data labeling and augmentation processes, and deployment using services like AWS SageMaker.
• Embedded and IoT engineering — firmware and hardware integration for SoC and microcontroller-based devices, RTOS development and edge computing components.
• Cloud-native delivery — design and management of public, private and hybrid cloud environments, leveraging hypervisors and major cloud provider services.
• Software engineering practices — full-stack application development, security-oriented development practices, scheduled releases, and ticket-based support and maintenance workflows.