Our Service to You
Discover more about our extensive range of professional services. We constantly update this page, but if you still can’t find what you’re looking for, please feel free to get in touch with us – we will be more than happy to help.
AI Process Flow
Mapping
AI process flow mapping is the structured visualization of how an AI solution moves through different stages — from problem identification to deployment and monitoring. It’s essentially a roadmap that shows the flow of activities, decisions, data, and technology at each step.
Consulting
AI Synergy is a professional service where experts help organizations understand, adopt, and scale artificial intelligence to achieve business goals. It bridges the gap between business needs and technical AI capabilities, guiding clients from strategy to execution. Our team of Advisor, Architect, Implementer and Trainer always put our focus on our customers. We want you to find the product or service that perfectly suits your needs, which is why we offer comprehensive consulting services to help you make an informed decision.
Training
We regularly offer industry-relevant training programs and workshops. Our certified instructors have many years of experience in their specialist area and enjoy sharing their expert knowledge with their students. Think of it like teaching a child — showing examples, correcting mistakes, and repeating until the skill is mastered.
AI Retrieval-Augmented Generation (RAG)
AI architecture that combines retrieval-based search with generative AI models. Instead of only relying on what the model learned during training, RAG fetches relevant, up-to-date information from external data sources
Benefits of RAG - Factual Accuracy, Up-to-Date Knowledge, Domain-Specific Expertise, Explainability and Efficiency.
Example Use Cases - Enterprise Search, Healthcare. Customer Support, Finance, Legal etc
AI Local Model
AI local model installation means setting up and running an AI models directly on your own machine or server, without relying on cloud APIs. This gives enterprises more control, privacy and sometime cost savings.
Why Install AI Models Locally?
Data Privacy → Your data never leaves your machine.
Customization → Fine-tune or modify models for your needs.
Offline Access → Works without internet connection.
Cost Control → Avoid ongoing API charges.
Experimentation → Test different models freely.
AI Program/Project Management
AI Synergy's AI Project Management is the practice of planning, organizing, and executing projects that involve artificial intelligence technologies. It combines traditional project management principles (PMI, Agile, Scrum, PRINCE2, etc.) with AI-specific workflows like data preparation, model training, deployment, and monitoring.
The goal: deliver AI solutions that meet business objectives, on time, within budget, and with measurable ROI.
AI Project Management = traditional project management + AI lifecycle tasks (data → model → deployment → monitoring). It requires cross-functional collaboration between business leaders, data scientists, engineers, and compliance teams.
AI Integration
AI Synergy's AI integration is the process of embedding artificial intelligence capabilities into existing systems, applications, workflows, or business processes so they can become smarter, more automated, and data-driven. Integration means connecting AI with the tools you already use (databases, CRMs, ERPs, chat systems, websites, APIs, etc.) so it delivers real business value.
Elements of AI Integration
- LLMs (e.g., GPT, Claude, LLaMA)
- Data Sources - databases, spreadsheets, CRMs
- Unstructured data - Emails, PDFs, chat logs, medical records
-External APIs (financial data, social feeds, IoT sensors)
Middleware / Orchestration
-Workflow tools like n8n, Make.com, Zapier, Airflow.
-Connectors & APIs that move data between systems and AI.
Generative AI for Images and Video
Generative AI in this context means using AI models that can create, modify, or enhance visual media (pictures, graphics, animations, or videos) from text prompts, existing media, or structured inputs.
Generative AI in Images
- Text-to-Video
- Image Editing
- Design Automation
Generative AI in Video
- Text-to-Video → Sora (OpenAI), Runway Gen-2, Pika Labs.
- Image-to-Video → animate still images with motion.
- Video Editing → automatic background replacement, color grading, captioning.
- Deepfakes / Face Swaps → highly realistic synthetic videos (ethical risks too).
- Synthetic Training Data → simulated scenarios for robotics, autonomous driving.
AI Cybersecurity
AI Synergy helps using artificial intelligence and machine learning to strengthen digital security systems. Instead of relying only on static rules or human monitoring, AI models learn patterns of normal and malicious behavior so they can detect, prevent, and respond to threat in real time.
Key Applications
- Threat Detection & Prevention - User & Entity Behavior Analytics (UEBA) - Fraud Detection - Incident Response Automation - Predictive Security - AI in SOC (Security Operations Centers)
Benefits
- Speed - Accuracy - Scalability - Adaptability
Tools & Technologies
Platforms: Darktrace, CrowdStrike, SentinelOne, Palo Alto Cortex XDR.
SIEM + AI: Splunk, IBM QRadar with AI modules.
ML Libraries: TensorFlow, PyTorch, Scikit-learn (for custom models).