Hire Nearshore AI Pods with Embedded FDEs.

Your AI Development Team, Deployed in 2 Weeks.

Fully integrated AI Pods — each one led by a Forward Deployed Engineer (FDE) and powered by AI Coding Agents (OpenAI Codex, Anthropic Claude) — working in your exact time zone.

Eliminate the U.S. recruitment bottleneck, bypass the offshore “Lag Tax,” and ship production-ready software with up to 60% TCO efficiency.

220+ engineers · 25+ years · EST+1 timezone

Hire AI Pods through Nearshore Development Today

INTEGRATED INTELLIGENCE:
Stop buying disconnected developer hours. When you hire an AI Pod, you get a Forward Deployed Engineer as your end-to-end owner — powered by AI Coding Agents (Anthropic Claude, OpenAI/Codex) and backed by the Folder AI Lab for expert architectural support when it matters. No management overhead. No coordination tax.

PRODUCTION-GRADE VELOCITY:
Move past sandbox experimentation. Our AI Pods use Spec-Driven Development powered by Anthropic Claude and OpenAI Codex to ship production-ready software — from greenfield applications and web platforms to legacy migrations and multi-agent workflows.

TIME-ZONE NATIVE EXECUTION:
Real-time, synchronous collaboration. Your dedicated AI Pod operates in your immediate business window (EST / CST), eliminating 24-hour response loops and asynchronous bottlenecks.

SEE OUR AI DEVELOPMENT PODS IN ACTION

Hire AI experts fueling digital transformation — trusted by

Axon Walmart SAP Uber Eats Atlassian Thomson Reuters Mattel Telefónica
+100Senior Expertes in AI Teams
2-WeekDeployment for AI-Managed Teams
EST / CSTSyncrhronous Alignment
Up to 60%Total TCO Savings on AI Pods
Who we work with

Engineered for leaders executing aggressive product roadmaps with dedicated AI teams.

Folder IT is the right fit if you're dealing with one of these situations:

🏢

U.S. Enterprises Scaling with AI Pods

You need to deploy complex AI development pods rapidly without incurring the massive overhead, benefit loads, and equity dilution of traditional domestic hiring cycles..

🚀

High-Growth Scaleups Adopting FDE Teams

Tired of 4-to-6-month domestic recruitment lags for specialized machine learning seats. We deploy fully functional AI engineering pods in under 14 days.

🧑

AI Pod Leaders: CTOs & VPs of Engineering

Tired of 4-to-6-month domestic recruitment lags for specialized machine learning seats. We deploy fully functional AI engineering pods in under 14 days.

Not a fit if you are looking for junior developers, isolated one-off freelancers, or simple body shopping. We only deploy high-level, integrated AI pods committed to engineering your long-term intellectual property
What is an AI POD

What is an AI Pod — and Why Isn't It Just Another Dev Team? 

Most "AI teams" are traditional developers who added ChatGPT to their workflow. A Folder IT AI Pod is built differently from the ground up.

🧠

Led by a Forward Deployed Engineer (FDE) 

Every AI Pod is anchored by a Forward Deployed Engineer — a senior IC who doesn't just write code, but owns the problem end-to-end. The FDE runs discovery, translates ambiguous business needs into a technical plan, builds the solution, and validates it with your team
This is not a project manager coordinating developers. This is one high-autonomy senior profile who moves from business conversation to working software — and is accountable for the result. 

⚡

Powered by AI Coding Agents

Every FDE works with AI Coding Agents (Anthropic Claude, OpenAI/Codex) as a core part of their execution stack — not as an occasional helper. This is Spec-Driven Development: the FDE defines precise technical specifications, and AI agents generate, validate, and iterate on code at a speed no traditional team can match.
The result: a single senior profile with the throughput of a larger team, without the coordination overhead. 

🔬

Backed by the Folder AI Lab

Behind every AI Pod is the Folder AI Lab — our internal team of AI architects and senior specialists with defined roles and real operational capacity. The AI Lab doesn't run your day-to-day delivery. It steps in when the problem calls for it: complex architectural decisions, model selection, security design, risk assessment, or technical review before a major deployment.
This is what separates an FDE from a solo contractor. You're not getting one person's judgment — you're getting one person's execution speed, backed by a team of experts when it counts.

A traditional dev team runs on headcount, standups, and ticket queues. An AI Pod runs on ownership, AI leverage, and expert backup. Same outcome. Fraction of the time. A fraction of the cost.
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3 Steps to Deploy Elite AI Pods in Less Than 2 Weeks

From First Call to First Commit
in Less Than 2 Weeks

No lengthy procurement. No endless interviews. Just results.

01

Deep Architectural Mapping (Day 1)

A technical deep-dive call. We analyze your core business data silos, identify model vulnerabilities, and map your precise agentic workflows to structure your AI pods.

→ Day 1
02

Pod Alignment & Blueprinting (Day 2-3)

We assemble your custom AI development pods from our pool of pre-vetted senior specialists. We present your lead architect profile alongside an implementation roadmap.

→ Day 2–3
03

Sprints Kick-Off (Week 2)

Seamless onboarding. Your AI Pod FDE Team integrates directly into your project tools, version control systems, and communication channels — and starts shipping with AI Coding Agents from the first sprint.

→ Week 2
Book Your Free 30-min Call
AI Projects We've Been Working On

What Our AI Pods Can Build
For Your Business

Our AI Pods build and ship real software — not demos. From greenfield web and mobile applications to complex legacy software migrations, enterprise AI platforms, and agentic automation workflows, each engagement is executed using Spec-Driven Development with AI Coding Agents (Anthropic Claude, OpenAI/Codex). Every project is led by a Forward Deployed Engineer (FDE) accountable for delivery. 

US · GovTech / Public Sector · Nearshore AI Engineering

AI Platform for Intelligent
Architectural Plan Review

Avolve Software

Business Challenge

Avolve Software needed to accelerate the review of architectural plans while maintaining high levels of accuracy, compliance, and traceability in digital permitting workflows used by U.S. jurisdictions.

AI Solution Delivered

Multimodal AI platform to automate the classification, validation and interpretation of architectural plans using Computer Vision and LLMs on a microservices architecture.

Business Impact

✓ Automated plan review at scale · Scalable AI foundation for GIS and regulatory compliance
GPT-4oYOLOAzure ML .NET 9RabbitMQDockerMongoDB
Embed AI into government plan review workflows →
US · AgTech Supply Chain · Nearshore AI & IoT

AI Platform to Reduce Food Waste
and Optimize Post-Harvest Operations

🔒 Confidential

Business Challenge

US agricultural supply chains required real-time visibility into produce freshness to reduce food waste, improve quality control, and optimize distribution decisions from origin to retail.

AI & IoT Solution Delivered

Custom AI and IoT platform combining real-time sensor data with machine learning and computer vision models to predict shelf life and detect quality issues across the supply chain.

Business Impact

✓ Reduced food waste through predictive shelf-life modeling · AI-driven quality assessment at enterprise scale
Faster R-CNNMobileNet V2RFID Java SpringKubernetesPostgreSQL
Build an AI-powered platform →
US · Enterprise Research Teams · Nearshore Delivery

Enterprise AI Research Assistant
with RAG and Knowledge Graphs

🔒 Confidential

Business Challenge

Enterprise research teams needed to analyze large volumes of unstructured documents while maintaining data privacy, traceability, and decision accuracy across multiple business units.

AI Solution Delivered

Custom enterprise AI research assistant leveraging RAG and knowledge graphs to accelerate document analysis. Integrates Mistral, LLaMA, and Claude with semantic search optimization.

Business Impact

✓ 300% increase in enterprise adoption · Significant reduction in research processing time
RAGNeo4jOpenSearch KafkaAWS BedrockRayServe
Talk to our AI Architects →
POD CAPABILITIES

AI Engineering Pods Built for Production

An ROI-focused AI Pod needs deep cross-functional expertise across the entire software and machine learning lifecycle. Our LATAM FDE Teams don't build isolated prototypes — they ship end-to-end, production-grade systems using AI Coding Agents, Spec-Driven Development, and frontier models like Anthropic Claude and OpenAI/Codex. Every engagement is built to last.

AI Agents

Autonomous systems that perform complex tasks

Generative AI

LLM-powered content and code generation

RAG Systems

Retrieval-Augmented Generation for enterprise

Machine Learning

Predictive models and intelligent algorithms

Computer Vision

Image and video analysis at scale

Deep Learning

Advanced neural networks for complex problems

NLP

Understanding and generating human language

MLOps

Production-grade AI pipelines and deployment

Knowledge Graphs

Intelligent knowledge representation

Conversational AI

Advanced chatbots and voice assistants

Edge AI

AI processing on local and embedded devices

Multimodal AI

Text, image and audio integration

Testimonials

AI Pod Leaders and CTOs Trust What Our FDE Teams Build 

★★★★★

"In our two-year collaboration with Folder IT, their meticulous attention to detail and proactive approach to problem-solving have been invaluable. What truly sets them apart is their ability to tactfully push back when necessary, ensuring that projects are executed correctly rather than simply following directions blindly."

Eric A.
CTO at Soos
★★★★★

"Folder IT has been Overproof's preferred partner for our product development needs for a few years now. The collaboration is so strong that it feels like our Folder IT team is an integral part of Overproof!"

Jasper N.
COO at Overproof
★★★★★

"Working with Folder IT has been a game-changer for our software development team. Their top-notch engineering team consistently exceeds our expectations, delivering cutting-edge solutions. It's been years of excellent collaboration."

Brian D.
CTO at Motility
★★★★★

"Working with Folder IT and their engineering team has been truly valuable. Folder IT has been a supportive partner in our growth and understands what we need to be successful. Our team is proud to have Folder IT as a partner."

Ethan B.
CEO at OhMD
★★★★★

"Folder IT's professionalism, reliability, and expertise are commendable. Having the flexibility to quickly scale development resources is a huge benefit to our business. Two thumbs up for the hard work they are doing."

Mike B.
President at HLS
★★★★★

"Their unwavering commitment to delivering top-tier results and their ability to tap into a diverse range of technological expertise have consistently exceeded our expectations at Starboard Cruise Services."

Pedro R.
Application Development Manager at Starboard Cruise Services
How to Ensure Success with AI Pods

What US Companies Worry About When Sourcing AI Teams and why they're wrong

1/4 common misconceptions

«Managing remote AI developers creates too much internal technical overhead»

✅ On the contrary

AI Pods increase ROI.

Standard staff augmentation forces your internal PMs to act as system integrators. When you hire AI pods, you deploy fully integrated, self-governing AI managed teams. Equipped with an embedded Lead Architect and Delivery Manager, our pods assume complete operational ownership of the pipeline from Day 1.

2/4 common misconceptions

«Timezone gaps will stall our machine learning iteration loops»

✅ On the contrary

Nearshore execution enables real-time collaboration.

Non-deterministic AI code and multi-agent graphs require rapid, real-time feedback loops. While offshore teams subject you to a 12-hour response lag, our nearshore AI engineering pods operate synchronously in your immediate business window (EST/CST) for instant, live debugging.

3/4 common misconceptions

«Custom AI development pods will bleed our budget dry through token shock»

✅ On the contrary

AI Pods reduce operational costs.

Scaling AI blindly can lead to runaway API bills. Our dedicated AI development pods feature embedded MLOps specialists who implement intelligent model routing. By sending 80% of routine workloads to low-cost, fine-tuned Small Language Models (SLMs), we secure up to 60% TCO savings.

4/4 common misconceptions

«External engineering teams only build basic prompt wrappers, not true business moats.»

✅ On the contrary

AI Pods build defensible IP.

We don't build generic chatbots. Our specialized AI teams engineer deep, proprietary intellectual property, including enterprise GraphRAG implementations, secure PII-masking trust layers, and autonomous multi-agent networks tailored for GovTech, AgTech, FinTech, and HealthTech.

FAQ'S ABOUT DEPLOYING AI PODS

AI Pods FAQ's

We align your custom team profile within 48 hours of your initial discovery call. The entire integrated unit is fully onboarded and committing code to your repository within 2 weeks, making us the fastest way to scale AI managed teams without internal recruitment delays.
Our AI teams focus on deep architectural infrastructure, moving past basic single-prompt wrappers. We specialize in autonomous multi-agent networks, enterprise GraphRAG implementations, real-time token cost optimization, and secure, air-gapped data hygiene pipelines from prototype to production.
We offer two pricing models depending on what you need:

FDE as a ServiceA monthly retainer for a dedicated Forward Deployed Engineer. AI tooling is either included in the rate (Folder provides and manages all AI credits, coding agents, and model access — you never touch a token dashboard) or provisioned by your team if you have existing vendor agreements or compliance requirements. Pricing is similar to a senior staff augmentation seat, with the added leverage of AI-augmented productivity built in.

AI Pod A monthly delivery retainer for a full AI Pod, led by an AI Pod Leader. Includes AI Lab support for complex technical decisions and a delivery framework with progress reporting and credit consumption tracking. AI usage runs on Folder AI Credits — our simplified billing layer on top of OpenAI and Anthropic APIs. Instead of managing token costs across providers, you purchase Folder AI Credits upfront and we handle model routing, cost optimization, and usage governance. No surprise API bills. No vendor management overhead. .

Both models include zero recruitment fees and zero hidden software overhead. Fixed-outcome milestones available for scoped engagements. .

Zero recruitment fees. Zero software overhead surprises. Just delivery.
Security is engineered straight into our delivery layer. Every pod designs robust system environments featuring automated PII masking, role-based access controls (RBAC), and strict data audit tracking. We sign comprehensive NDAs and align directly with global data standards like HIPAA and GDPR to keep your proprietary IP 100% sovereign.
Our AI engineering pods integrate seamlessly into your current technical stack. We orchestrate frontier models (OpenAI GPT, Anthropic Claude) alongside open-source ecosystems (Meta Llama, Mistral) and advanced vector/graph databases like Neo4j and Pinecone, deploying smart model routing matrices to optimize system performance.
We build production-grade infrastructure for high-growth scaleups and mid-market enterprises across data-heavy verticals like GovTech, AgTech, FinTech, and HealthTech. If your organization wants to execute an aggressive product roadmap with dedicated AI teams without assuming massive management overhead, our pods are built for you.

Ready to build your AI team?

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and start building your dream team today.

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