Custom AI and software solutions for enterprise brands
NineTwoThree is a 51–200-person design and engineering studio building custom AI, web, and mobile products for established brands. The stack spans ML frameworks (TensorFlow, PyTorch, LangChain, RAG), cloud platforms (AWS, Azure, GCP), and full-stack web tooling (React, Node.js, PostgreSQL). Current hiring is sales-heavy (5 of 12 roles open), suggesting aggressive client acquisition to feed the project pipeline—consistent with their focus on rapid validation sprints and strategic roadmapping.
NineTwoThree partners with mid-market and enterprise companies to design and build custom AI solutions, web applications, and mobile products. Founded in 2012, the studio operates with a service-delivery model: they intake client briefs, conduct AI feasibility analysis, and execute end-to-end builds across product, engineering, design, and marketing. The tech stack reflects a modern, polyglot approach to client work—ML-heavy projects run on TensorFlow and PyTorch; web and mobile projects use React and Node.js; infrastructure spans AWS, Azure, and GCP. The organization is distributed across the United States, Ukraine, Spain, United Kingdom, and Armenia.
TensorFlow, PyTorch, LangChain, and RAG (Retrieval-Augmented Generation) are core to their AI solution stack, often paired with Python for implementation and cloud platforms like AWS, Azure, or GCP for deployment.
Danvers, Massachusetts (Boston-area). The company hires across the United States, Ukraine, Spain, United Kingdom, and Armenia.
NineTwoThree AI Studio's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.