Intermedia IT

Intermedia IT is an Argentine software development firm founded over 11 years ago, operating across the US and LATAM with around 239 projects delivered. They build custom software, mobile applications, and cloud infrastructure—positioning AI-first development as their core methodology. Rather than traditional code-first engineering, their teams use AI to generate code while engineers supervise, architect, and validate.

The company's pitch centers on "industrialized" software development: predictable timelines, measurable outcomes, and integrated AI from discovery through deployment. They work across fintech, logistics, and agriculture sectors.

Services and capabilities

Intermedia's service menu includes generative AI implementation, custom software development, intelligent agents, cloud and DevOps, cybersecurity, and product design. They also operate Lirina Agent Suite, a SaaS product for business process automation that handles content generation, data analysis, and customer service via agents—with integration to existing systems, real-time reporting, and a subscription model.

On the staffing side, they run Intermedia HR, a recruiting platform connecting companies with IT profiles across LATAM (claiming access to 55,000+ candidates). Services include strategic staffing, full-cycle recruiting, and technical assessments.

Technically, they work with React, Node.js, Python, Next.js, TypeScript, and LangChain on the application layer. Infrastructure runs on AWS, Azure, and GCP. For AI work, they integrate Claude, ChatGPT, Google Gemini, and open-source models like Llama. Their development tooling includes GitHub Copilot, Cursor, N8N for automation, and Vitest for testing.

Notable work

Three case studies illustrate their approach:

SaaS consolidation (accounting/admin platform): Intermedia replaced two disconnected SaaS platforms with a unified custom system for a growing company. The result was a 75% reduction in operational workload through process reengineering and AI-first development. The project consolidated billing, invoicing, payment tracking, financial records, and reporting into one platform. They delivered it in record time using AI-assisted development (Cursor, Claude, ChatGPT, Google Gemini), React, Node.js, TypeScript, Next.js, Python, and LangChain on the stack.

Cybersecurity startup (San Francisco): A fintech-adjacent cybersecurity startup needed a dedicated technical team. Intermedia assembled engineers who handled product development, AI expertise (RAG, chain-of-thought, fine-tuning), and infrastructure/DevOps simultaneously. The team worked embedded with the client from day one rather than as a traditional vendor. The product went to production. Stack: Python, LiteLLM, Claude, ChatGPT, Llama, and RAG techniques.

Livestock counting (computer vision): For agricultural clients, Intermedia built an AI system that counts livestock in drone footage automatically, handling varying lighting and herd densities. Replaces manual counting with a process that takes minutes instead of hours. Uses Python, TensorFlow, and OpenCV.

How they work

Intermedia's model blends fixed-scope custom projects with team augmentation. They claim to analyze a project and propose a path forward within 48 hours. For custom development, they offer discovery-to-deployment engagement with integrated AI and structured processes. For team extension, they build dedicated squads (senior developers, AI specialists, product managers). Pricing and exact engagement terms are not disclosed on the public site.

Team and credentials

No founder names or detailed team breakdown is available. The site mentions 11+ years of operation and 239 projects delivered. Certifications and awards are referenced but not named—the site notes "let our customers' stories speak for themselves" and points to client reviews, though none are quoted or attributed in the source material. No ISO, SOC 2, or formal compliance badges are mentioned explicitly.

Intermedia also operates a recruiting arm (Intermedia HR) with claims of 55,000+ LATAM IT profiles in their network.