AI & Machine Learning Development
Custom AI Solutions for Real Business Problems
DanixSoft builds AI systems that deliver measurable ROI — not demos. From OpenAI and Anthropic API integrations to custom-trained models on your proprietary data, we ship AI features that automate workflows, cut costs, and create competitive advantages our clients can quantify.
What's Included
Everything you need to ship a production-grade solution.
LLM Integration (GPT, Claude, Gemini)
Production-grade integration of large language models with prompt engineering, cost optimisation, and safety guardrails.
Custom ML Model Training
Fine-tuning foundation models on your data, or building classifiers, regressors, and recommenders from scratch with scikit-learn and PyTorch.
Retrieval-Augmented Generation (RAG)
AI that answers questions using your own documents, databases, or knowledge bases — not hallucinations.
Computer Vision
Object detection, image classification, and OCR pipelines using YOLOv8 and TensorFlow.
Conversational AI & Chatbots
Context-aware customer support bots with fallback to human agents and full conversation logging.
Predictive Analytics
Demand forecasting, churn prediction, fraud detection, and anomaly detection on your business data.
Our Process
Transparent, milestone-driven delivery from day one.
Use Case Validation
Not every problem needs AI. We assess whether ML actually solves your problem better than a deterministic approach, and quantify the expected ROI upfront.
Data Assessment
Audit existing data quality, identify gaps, and define what labelled data or API access is needed.
Prototype in 2 Weeks
A working proof of concept in 2 weeks. If it does not work at prototype stage, we tell you honestly before you invest further.
Production Hardening
Input validation, output filtering, rate limiting, cost monitoring, and fallback logic for when the model fails.
Monitoring & Retraining
Model performance tracking, drift detection, and a scheduled retraining pipeline as your data grows.
Technology Stack
Battle-tested tools we rely on to deliver.
Pricing
LLM integration projects start from $3,000. Custom model training and production ML systems from $15,000.
Every project is scoped individually. Final pricing depends on complexity, integrations, and timeline.
Get a Custom QuoteFrequently Asked Questions
Common questions about this service.
How much does AI integration cost?
A standard ChatGPT or Claude API integration with a custom UI and backend takes 2–4 weeks and costs $3,000–$8,000. Custom model training projects start from $15,000 depending on data complexity.
Do AI features work for my industry?
AI delivers strong ROI in: customer support (40–70% ticket deflection), document processing (80% faster review), demand forecasting (15–25% inventory cost reduction), and content generation (60%+ time saving). We have built AI features for healthcare, fintech, retail, and logistics.
What happens to my data when I use OpenAI or Claude?
OpenAI's API does not use your data to train models by default (API tier). Anthropic has similar terms. For highly sensitive data we can deploy open-source models (Llama 3) in your own cloud — no data leaves your infrastructure.
Ready to start your project?
Let's turn your vision into reality. Contact us today for a free consultation.
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