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Intellectsoft Tech Stack

Custom software and digital transformation for enterprise clients

Software Development New York, NY 51–200 employees Founded 2007 Privately Held
intellectsoft.net LinkedIn

Intellectsoft is a 51–200-person digital transformation consultancy based in New York, founded in 2007. The stack reveals a Shopify-first engineering culture (Shopify CLI, Liquid, Shopify Functions, theme/app extension work) layered atop modern web infrastructure (Next.js, Remix, Node.js, React, TypeScript). Active adoption of Remix and Next.js, combined with heavy investment in AI (LLM evaluation, RAG pipelines, vector databases for semantic search), signals a pivot toward full-stack AI-native product development. Hiring is senior-weighted (19 of 22 open roles) and distributed across Poland, Ukraine, Brazil, Argentina, and India—a team-extension model typical of nearshore/offshore delivery shops.

Tech Stack 160 technologies

Core StackTableau Java JavaScript Shopify GraphQL Next.js React Node.js Cloudflare AWS TypeScript Jest Cypress Zoom Go D3.js C/C++ Liquid Shopify CLI Remix Webhooks CI/CD JavaScript/TypeScript Shopify Functions SCSS ASP.NET Core F# Azure Microsoft Graph API Udemy+122 more
AdoptingNext.js Remix

What Intellectsoft Is Building

◆Challenges

  • Optimizing high-traffic e-commerce platforms
  • Scalable event-driven architecture
  • Ultra-low latency semantic search
  • Optimizing cost and latency of llms
  • Complex business flows
  • Scaling saas products
  • Streamlining decision-making workflows
  • Performance optimization at scale
  • Scaling governance technology
  • Scaling hr recruitment functions

▲Active Projects

  • Azure and office365 integrations
  • Checkout extensibility implementation
  • Llm evaluation and integration
  • Vector database optimization for semantic search
  • Ai feature development with rag pipelines
  • Ai-driven development process
  • F# and react.js product development
  • Theme and app extension development
  • Design shopify themes and app extensions
  • Checkout logic engineering

Hiring Activity

Accelerating20 roles · 10 in 30d

Department

Engineering
15
Data
4
HR
1
Marketing
1

Seniority

Senior
19
Lead
1
Mid
1
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About Intellectsoft

Intellectsoft provides custom software development, digital transformation consulting, and system integration for mid-market and enterprise clients. The service portfolio spans strategic IT consulting, CX design, full-lifecycle custom application development, mobile apps (iOS, Android), and emerging areas including blockchain, IoT, and AI-powered systems. Projects cluster around Shopify platform engineering (checkout extensibility, theme development, app extensions), enterprise integrations (Azure, Office 365), and AI feature development using LLMs and RAG. The organization operates on a team-extension model with distributed hiring across eight countries, allowing clients to augment internal capacity with senior engineers and domain specialists.

HeadquartersNew York, NY
Company Size51–200 employees
Founded2007
Hiring MarketsPoland, Ukraine, Brazil, Argentina, Colombia, Bulgaria, Portugal, India

Frequently Asked Questions

What tech stack does Intellectsoft use?

Intellectsoft's primary stack includes Next.js, React, Node.js, TypeScript, Java, C/C++, GraphQL, AWS, Azure, and Shopify tooling (Liquid, Shopify CLI, Shopify Functions). They are actively adopting Remix and Next.js for frontend architecture and integrating LLM frameworks and vector databases for AI features.

What is Intellectsoft working on?

Recent projects include Shopify checkout extensibility and app extensions, Azure and Office 365 integrations, LLM evaluation and RAG pipeline development, vector database optimization for semantic search, and F# / React.js product development. Pain points center on high-traffic e-commerce optimization and cost/latency reduction for LLMs.

How this profile is built

Intellectsoft'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.