DPS GPT
Agentic & Generative AI
Robotic Process Automation
HR Agent
PMO Agent
Experience Transformation
Custom Development
Cloud & Infrastructure
Data Engineering
Maintenance & Support
Government/Public Sector Industry
Aviation
Telecommunication Industry
Education
Healthcare
Retail & Distribution
Banking and Finance
Insurance Industry
eTAMS
MAWARED
iMutalaba
MVSS
LaTalamus
eMosad
Project Management
Quality Assurance
Communication and Reporting
Agentic & Generative AI
Agentic & Generative AI
Conversational interfaces that go beyond responses.
Intelligent Interaction & Assistance
Today’s AI is not just about automation—it’s about decision-making, adaptability, and creation. At DPS, we help organizations integrate artificial intelligence that doesn’t just follow rules, but understands context, reasons, and delivers value.
Our AI solutions combine the strengths of generative intelligence for content, conversation, and summarization with the autonomy of agentic architectures that independently execute tasks, allocate resources, and evolve with your systems. Whether you need intelligent assistants or self-acting systems, we help you build AI that delivers measurable business results.
Focused AI Capabilities
GenAI-Powered Virtual Assistants
Conversational assistants trained on your enterprise data to deliver personalized, context-aware support. These assistants operate 24/7, improve service response times, & integrate seamlessly with existing workflows.
RAG-Based Agentic AI Applications
Autonomous systems that use Retrieval-Augmented Generation (RAG) to reason over real-time data, make decisions, and execute tasks independently. Ideal for dynamic workflows, resource allocation, and operational optimization.
GenAI-Powered Applications
Generative AI solutions tailored to your domain, capable of producing content, summarizing information, and assisting in creative and cognitive tasks—at scale, with consistency and security.
Key Features
Purpose-Built Design
Custom-developed AI solutions tailored to your data, domain, and operational goals.
Security & Governance First
All solutions include built-in data protection, auditability, and compliance-ready controls.
Cross-Functional Expertise
Extensive experience delivering AI solutions across public sector, finance, healthcare, & enterprise systems.
From Prototype to Scale
Accelerated delivery from proof-of-concept to full-scale production with a focus on stability & performance.
Multi-Agent Collaboration
Agent networks operate in coordination to execute complex business functions in real time.
Task-Oriented Orchestration
Processes are broken into modular, structured tasks managed by autonomous agents.
Self-Learning Agents
Systems that evolve through feedback, pattern recognition, and contextual learning.
DPS AI Products
Discover HR Agent
Our intelligent resume screening solution uses AI to analyze, score, and recommend candidates—streamlining the hiring process and improving talent match accuracy.
Meet PMO Agent
Designed to optimize project staffing, PMO Agent evaluates expertise, workload, and project requirements to recommend the best-fit teams—enhancing delivery efficiency and resource utilization.
AI Tech Stack
Application Layer
Retrieval & Tooling Layer
Agentic Orchestration Layer
Foundation Models & Reasoning Layer
Cloud Infrastructure Layer
Semiconductor Layer
Application Layer
Retrieval & Tooling Layer
Agentic Orchestration Layer
Foundation Models & Reasoning Layer
Cloud Infrastructure Layer
Semiconductor Layer
What’s Trending?
FAQs
Artificial intelligence works by using algorithms and models—often inspired by how humans learn—to recognize patterns in data, make decisions, and improve outcomes over time. Depending on the task, it may involve machine learning, natural language processing, or deep learning architectures.
Start by identifying clear business goals, assessing your data infrastructure, and understanding where automation or intelligence can create value. It’s also essential to align internal stakeholders and prepare for cultural and process change.
AI can support decision-making, automate repetitive processes, personalize customer experiences, detect anomalies or fraud, and improve forecasting accuracy—among many other applications tailored to industry needs.
AI is influencing nearly every sector—from predictive diagnostics in healthcare and hyper-personalized retail experiences to intelligent logistics and smart governance. It’s driving operational efficiency, innovation, and competitive advantage.
Commonly used languages and frameworks include Python, R, and JavaScript, alongside libraries like TensorFlow, PyTorch, and Scikit-learn for building and training models.
AI is being applied in customer service (via chatbots), fraud detection in finance, supply chain optimization, recommendation systems in e-commerce, document processing in legal and insurance, and generative content creation across multiple sectors.
Yes. AI solutions are often designed to work alongside or embed into existing enterprise systems such as CRMs, ERPs, and data warehouses using APIs and cloud-based platforms for seamless integration.
AI models typically require structured (e.g., databases, spreadsheets) and unstructured data (e.g., documents, images, audio). Data engineers set up pipelines that connect these data sources to training environments or real-time inference systems.
AI consultants help organizations define their AI vision, assess readiness, select the right technologies, prioritize use cases, and oversee ethical and scalable implementation from pilot to production.
