Ethix

We are a team of AI and Software Engineers who build production-grade AI and end-to-end systems. With experience in Healthcare, Law, and Real Estate, we specialize in Machine Learning, Agentic AI, RAG, Document Intelligence, and large-scale MLOps on GCP, Azure, and AWS. From initial MVP to full-scale deployment, we use LLMs (Gemini, GPT-4) and modern data infrastructure to automate your most critical workflows. OUR CORE CAPABILITIES: 1. Large-Scale Data Engineering: We handle everything from ingestion to making data ready for ML models. - We built a HIPAA-compliant GCP platform for a healthcare client that ingests billions of pharmacy transactions daily. 2. Agentic AI & RAG Applications: We build intelligent agents that perform multi-step tasks. - Job Sourcing Agent: An end-to-end system that parses job postings, scrapes candidate data, and uses an LLM to clean and summarize the information. - RAG-Powered Chatbot: A Django app where users can upload their own PDFs and ask complex questions, getting precise answers retrieved from their documents. 3. Document Intelligence & Automation: We specialize in extracting structured data from unstructured documents like PDFs and images. - AI Law Bill Processor: A system for law firms that ingests pre-bill PDFs, automatically corrects routine errors, and flags complex issues for human review. 4. Advanced Computer Vision: We work with complex visual data, particularly satellite and real-world imagery. - Real Estate Analytics Engine: A pipeline that takes addresses, fetches satellite/street imagery, and uses Gemini and a fine-tuned SAM2 model to classify property features and segment roofs into GeoJSON polygons. Our Core Tech Stack: - AI / ML: OpenAI GPT-4, Google Gemini, RAG Systems, Vector Databases, Document Intelligence (Google/Azure), PyTorch (SAM2), Great Expectations, OpenCV, LangChain/Langgraph. - Cloud & DevOps: GCP (BigQuery, Dataflow, Cloud Run, Pub/Sub), Azure, AWS, Terraform, Docker, Kubernetes, GitHub Actions, Azure DevOps. - Data & Backend: Python (Django, FastAPI, Celery), SQL, PostgreSQL, Redis. - Frontend: Next.js, React.