AI Development Services
That Actually Work
Move beyond the hype. We build AI agents, RAG systems, and computer vision pipelines that solve real business problems — not just impressive demos that fall apart in production.
What We Build
LLM Agents & RAG Systems
Build "Chat with your Data" systems. Your team can ask an AI questions about company documents, contracts, and technical manuals — and get accurate, cited answers in seconds.
Best for: Legal, healthcare, enterprise knowledge bases.
Computer Vision & Image AI
Automate visual inspection. Our AI models analyze video feeds and images to detect defects, classify products, read documents, and track inventory in real-time.
Best for: Manufacturing QC, document processing, retail.
Predictive Analytics & ML
Stop guessing the future. We use Machine Learning to analyze your historical data and predict sales trends, equipment failures, customer churn, and stock shortages.
Best for: Sales forecasting, maintenance, supply chain.
AI Automation Workflows
Connect AI to your email, CRM, and support inbox. Automatically draft replies, categorize tickets, summarize meetings, and route tasks to the right team member.
Best for: Customer support, sales teams, operations.
Real-World Use Cases
Here's how businesses like yours are using AI to gain a competitive advantage.
AI Customer Support
A chatbot trained on your product docs that answers 80% of support questions instantly — reducing ticket volume and response times.
Smart Document Search
Upload 10,000 PDFs. Ask questions in plain English. Get answers with page citations — like having an expert who's read everything.
Healthcare Triage
An AI system that pre-screens patient symptoms, prioritizes urgent cases, and routes them to the right specialist — reducing wait times.
Factory Quality Control
A camera + AI system on your production line that detects defective products in real-time — catching issues human inspectors miss.
AI We've Shipped
Flux uses Google Gemini to power AI receipt scanning — take a photo of any receipt, and the AI automatically extracts merchant, date, amount, and category.
Visit flux.dicathen.com →The Tech Stack
| Models & APIs | Tools & Frameworks | Vector Databases |
|---|---|---|
| OpenAI GPT-4o | LangChain / LlamaIndex | Pinecone |
| Google Gemini | Hugging Face | Weaviate |
| Anthropic Claude | TensorFlow / PyTorch | ChromaDB |
Frequently Asked Questions
Do I need a large dataset to use AI?
Not necessarily. For LLM-based solutions (chatbots, document search), you just need your existing documents. For custom ML models (predictions, vision), we typically need a few hundred to a few thousand examples — and we can help you collect and label data.
How do you ensure AI accuracy and prevent hallucinations?
We use RAG (Retrieval-Augmented Generation) architecture, which grounds AI responses in your actual data. We also implement guardrails, citation tracking, and evaluation pipelines to measure and improve accuracy over time.
Is my data safe when using AI?
Absolutely. We can deploy AI models on your own infrastructure (private cloud or on-premise) so your data never leaves your servers. For cloud-based solutions, we use enterprise-grade APIs with data processing agreements.
What's the difference between a chatbot and an AI agent?
A chatbot answers questions. An AI agent takes actions — it can search databases, update records, send emails, and make decisions. We build agents that actually DO work, not just talk about it.
Ready to put AI to work for your business?
Stop watching competitors adopt AI while you wait. Let's build a solution that gives you a real competitive advantage.
Get a Free Consultation