NexhubAI
Overview
NexhubAI builds production AI systems: multi-agent architectures, RAG pipelines, and business automation that run every day without babysitting. We're a small senior team, not a body shop. Our lead engineer holds Top Rated Plus status on Upwork with a 100% Job Success Score across 59 contracts and 3,800+ hours of AI and automation work delivered to clients in hospitality, real estate, legal, and commerce. The agency exists so that work doesn't depend on one person's calendar. What we build: - Multi-agent systems and agentic workflows on LangGraph, LangChain, and the Claude Agent SDK, for problems too complex for a single prompt. - Document intelligence: contract analysis, invoice and data extraction, enterprise search over your own knowledge base. - RAG pipelines and semantic search at production scale with Pinecone, PGVector, and ChromaDB. - Customer-facing AI agents on WhatsApp, Instagram, Line, and web, grounded in your data with clean handoff to a human when confidence drops. - Business process automation across CRMs, email, and internal tools. GoHighLevel, Follow Up Boss, Google Workspace, custom APIs. - AI-native products end to end: web apps, custom CRMs, analytics dashboards built around LLMs from day one rather than bolted on later. How we work: architecture scoped before code, a working prototype in 48 to 72 hours so you can validate direction early, then production hardening with error handling, evaluation, logging, and observability. Everything runs in your accounts and stays documented well enough for your team to maintain it. You own it at handoff. Stack: Python, TypeScript/Node.js, React/Next.js, FastAPI, LangGraph, LangChain, LlamaIndex, Claude, OpenAI, Gemini, Pinecone, PGVector, PostgreSQL, Supabase, n8n, Docker, GCP, AWS. Tell us what you're trying to build and we'll tell you honestly whether it's a fit — including when a single engineer is the better answer than an agency.
Services
AI & Machine Learning
Teams spend countless hours managing repetitive workflows across CRMs, emails, spreadsheets, and business applications. Build autonomous AI agents that can reason, plan, and execute tasks across multiple systems while maintaining human oversight.