AI Development Hub

AI is no longer experimental. Enterprises expect AI systems that integrate with existing workflows, respect data governance, and deliver measurable ROI. ZTABS takes a pragmatic approach: we start with your business use case and select the right mix of foundational models, fine-tuning, RAG, or custom ML based on accuracy requirements, latency needs, and cost constraints.

We have shipped AI products for customer support (Chatsy), prompt engineering (HyperPrompt AI), and creative workflows (Morphed). Our experience spans LLM orchestration with LangChain and CrewAI, vector search with Pinecone and pgvector, and custom model integration with OpenAI, Anthropic, and open-source alternatives. Every AI solution we build is designed for reliability at scale — proper error handling, fallbacks, and observability built in from day one.

Whether you need a chatbot, a RAG-powered knowledge base, or bespoke automation, ZTABS brings the technical depth to deliver. We avoid hype in favor of solutions that work in production.