Python & AI/ML
Intelligent systems powered by LLMs, computer vision, and custom ML models
We build production AI systems — not just notebooks. From GPT-4o-powered conversational agents with RAG pipelines to custom computer vision models deployed on edge devices, our AI engineering team delivers solutions that create measurable business impact.
What We Deliver
LLM & Agentic AI
Custom AI agents using OpenAI, Anthropic, and open-source models with function calling, tool use, and MCP server integration.
RAG Pipelines
Retrieval-Augmented Generation with pgvector, Pinecone, or Weaviate for knowledge-grounded AI responses.
Computer Vision
Object detection, image classification, and OCR using PyTorch, YOLO, and OpenCV for manufacturing, retail, and healthcare.
Predictive Analytics
Time-series forecasting, anomaly detection, and churn prediction using scikit-learn, XGBoost, and custom models.
MCP Server Development
Model Context Protocol servers that connect LLMs to enterprise APIs, databases, and internal tools with typed schemas.
Production ML Ops
Model serving with FastAPI, monitoring with Prometheus, A/B testing, and automated retraining pipelines.
Technologies We Use
Common Applications
WhatsApp/Telegram AI customer service agents
Document understanding and extraction pipelines
Recommendation engines for e-commerce
Predictive maintenance for IoT devices
Automated content generation systems
Need Python & AI/ML expertise?
Our senior engineers can evaluate your requirements and propose an architecture tailored to your business needs.
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Other Expertise
Ready to Build Something Amazing?
Let our team of engineers turn your vision into production-ready software.