Folder IT’s embedded AI Pods design, deploy and maintain production-grade AI systems inside your stack from day one, in your timezone, without the overhead of building an in-house AI team from scratch.

Your team and ours
working as one
Access Top IT Talent
in your timezone at 1/2 the cost


Folder IT’s AI Pods integrate directly into your existing engineering organization — working alongside your web, mobile, Salesforce and ServiceNow teams to ship unified, production-grade solutions.
Each Custom AI Team is built around the profile your project needs: AI/ML engineers, data engineers, LLMOps specialists and applied researchers, all embedded under one managed pod.
Our engineers work daily with modern GenAI stacks — LLM orchestration, RAG pipelines, agentic workflows and multi-agent architectures — as well as classic ML, computer vision and NLP for teams that need both.

Our AI Pods ship production-grade services in weeks, not quarters — built for real-time applications like agentic workflows, retrieval systems and predictive models.

We follow rigorous security protocols in order to preserve the confidentiality of your data & maintain the integrity of the information meeting enterprise compliance requirements for US clients

From a single embedded AI engineer to a full managed AI pod, we scale your enterprise AI team as your roadmap grows.

Every AI Pod is custom-assembled around your architecture, your compliance needs, and your existing US enterprise stack.

Senior AI engineers in Argentina, working in your timezone — real-time collaboration without the offshore lag.

Our teams design enterprise multi-agent architectures that connect LLMs, tools and internal systems into cohesive, production-grade AI workflows.
Over the years, this team has faced different challenges: from older projects, such as complex mathematical design using specialized genetic programming clusters, to more recent projects, such as visual product categorization, counting and defect detection (e.g. spots) using multiple co-working convolutional neural networks with automatic image pre-processing. In addition, we have experience working with huge datasets in the cloud, NLP (Natural Language Processing), and have migrated complex networks to mobile native solutions.
Relying on Artificial Intelligence we can analyze, plan, design, execute, deploy and maintain AI augmented solutions as per requirements and provide complete solution coverage.


«Outsourcing is too risky
and unreliable»
«Outsourcing is too risky
and unreliable»