We build AI apps, automation pipelines, and LLM-powered tools that solve specific business problems. Not demos. Production systems.

Real examples: We built Scribe Genie, an AI clinical documentation assistant that transcribes medical interactions with HIPAA compliance using FlutterFlow, Docker, and Python. We shipped Super Receptionist, a 24/7 AI call handling system with smart routing using Google Gemini and Vapi. We built an automated blog publishing pipeline with n8n, OpenAI, and Airtable that replaced 10+ hours of manual content work per week.

Tech stack: LangChain, OpenAI, Cursor, Lovable, n8n, and Bolt.new. We understand compliance constraints, domain-specific accuracy, and the difference between a cool prototype and something that works at scale.

Custom AI/LLM Development — Fine-tuned models for chatbots, automation agents, summarization, or domain-specific reasoning.

End-to-End AI Application — Complete web or backend app integrating model inference, APIs, and workflows.

LangChain Pipeline / Agent Framework — Production-ready RAG systems, document workflows, or multi-agent setups.

Data Processing & Embedding Setup — Ingestion, cleaning, embedding, and vector storage optimized for accuracy.

API Integration Layer — REST or GraphQL endpoints with auth, rate limiting, and error handling.

Deployment & Infrastructure — Deployed to AWS, Azure, GCP, or Vercel with CI/CD and monitoring.

Documentation & Technical Guide — Full architecture docs your team can maintain.