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NineTwoThree AI Studio Tech Stack

Custom AI solutions studio for enterprise product and web development

Software Development Danvers, Massachusetts 51–200 employees Founded 2012 Privately Held

NineTwoThree is a 12-year-old AI solutions studio focused on building custom products for established enterprises and startups. Their stack spans PyTorch, TensorFlow, LangChain, RAG, and cloud infrastructure (AWS, Azure, GCP), with active work on GPT-4 integrations and RAG implementations for clients. The company runs lean on product and engineering (26 active roles, split evenly between the two), suggesting a hands-on consulting model rather than a platform play—each project likely requires deep technical and product expertise.

Tech Stack 21 technologies

What NineTwoThree AI Studio Is Building

Challenges

  • Project scope management
  • Client priority alignment

Active Projects

  • Launch of new client products
  • Gpt-4 integration into client applications
  • Rag implementation for language model applications

Hiring Activity

Steady25 roles · 10 in 30d

Department

Engineering
16
Product
10

Seniority

Senior
12
Mid
9
Junior
5
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About NineTwoThree AI Studio

NineTwoThree partners with established brands and growth-stage companies to design and ship custom AI, web, and mobile products. Based in Danvers, Massachusetts, the studio operates as a product, engineering, design, and marketing team embedded with each client to understand their business constraints and user problems. The company has shipped work across multiple verticals, from mobile apps to IoT and web platforms. With 51–200 employees and hiring across nine countries (US, Argentina, Brazil, Ukraine, Germany, Netherlands, Poland, Slovakia, Portugal, Armenia), NineTwoThree operates as a distributed consulting studio.

HeadquartersDanvers, Massachusetts
Company Size51–200 employees
Founded2012
Hiring MarketsArgentina, Brazil, Ukraine, Germany, Netherlands, United States, Poland, Slovakia

Frequently Asked Questions

What is NineTwoThree AI Studio's tech stack?

Python, PyTorch, TensorFlow, LangChain, RAG, React, Node.js, TypeScript on AWS, Azure, and GCP. Also uses PostgreSQL, MySQL, Redis, Git, OAuth, and SAML for infrastructure and security.

What is NineTwoThree working on?

Launching new client products, integrating GPT-4 into client applications, and implementing RAG systems for language model use cases. Core challenges include managing project scope and aligning client priorities.

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