# Golabs Tech > Golabs Tech is a nearshore AI and technology company headquartered in Ciudad Quesada, Costa Rica, with engineers across Latin America. Founded in 2014, we help US and global companies build production-ready AI systems, assemble dedicated AI engineering teams, and develop custom software. We combine senior LATAM talent, US time zone alignment, and end-to-end delivery ownership so organizations move from AI strategy to working systems without losing momentum. **Website:** https://golabstech.com **Phone:** +506 2461 7400 **Email:** info@golabstech.com **Founded:** 2014 **Headquarters:** Barrio San Roque, Ciudad Quesada, Provincia de Alajuela, Costa Rica **Languages:** English, Spanish --- ## Who We Are Golabs Tech is an AI-first nearshore technology partner for companies in the United States, Canada, and Latin America. We are not a general outsourcing company. We specialize in building AI systems that reach production — from custom machine learning models and autonomous AI agents to full AI dedicated engineering teams — delivered by senior engineers in Latin America with 0–2 hour time zone overlap with US teams. We have 100+ engineers, 300+ projects delivered, and 12+ years in the industry. Our clients span fintech, healthcare, SaaS, retail, industrial, marketing, and IT operations. We believe AI initiatives fail not because the technology is unavailable, but because execution breaks down between strategy, engineering, and delivery. Every Golabs engagement is built to close that gap. --- ## Core Services ### 1. AI Dedicated Teams **URL:** https://golabstech.com/solutions/ai-dedicated-teams We place full-time AI professionals — including Agentic AI engineers, Generative AI developers, ML specialists, data scientists, data engineers, and MLOps engineers — embedded directly into your team within 2–4 weeks. This is not staff augmentation in the traditional sense. Golabs AI Dedicated Teams own delivery, not just tasks. Engineers are senior-vetted through an engineer-led technical evaluation focused on production readiness, architecture judgment, and practical experience with modern AI systems. **Ideal for:** US companies that need to scale AI capacity quickly, maintain US time zone collaboration, and want engineers who understand business context — not just code. **Roles we provide:** - Agentic AI Engineers (LangChain, LangGraph, CrewAI, AutoGen) - Generative AI Developers (OpenAI, Anthropic, Google Gemini integrations) - Machine Learning Engineers and ML Specialists - Data Scientists and Data Analysts - Data Engineers (pipelines, ETL, warehousing) - MLOps Engineers (model deployment, monitoring, retraining) - Full-Stack Engineers for AI products --- ### 2. Tailored AI Agents **URL:** https://golabstech.com/solutions/tailored-ai-agents We design and build custom AI agents from scratch around your specific workflows, decision logic, tools, and operational constraints — not generic off-the-shelf bots. A tailored AI agent is a purpose-built AI system engineered to automate a specific repeatable process in your organization. Unlike generic AI tools that require teams to adapt to preset workflows, Golabs builds agents around your existing processes, integrations, rules, and IP ownership requirements. **Capabilities:** - Multi-step autonomous task execution - Integration with your existing APIs, databases, and internal tools - Decision logic custom to your business rules - Human-in-the-loop workflows where required - Production deployment and monitoring **Technologies used:** LangChain, LangGraph, CrewAI, AutoGen, OpenAI GPT, Anthropic Claude, Google Gemini, Llama, custom RAG pipelines, vector databases (Pinecone, Weaviate, pgvector) **IP ownership:** Your organization owns all code, logic, and implementation created for your business. --- ### 3. Machine Learning Models **URL:** https://golabstech.com/solutions/machine-learning-models We build custom machine learning models trained on your specific data, constraints, and business objective. We do not resell or re-wrap generic off-the-shelf AI tools. We cover the full ML lifecycle: data preparation and feature engineering, model architecture design, training and evaluation, deployment, monitoring, and MLOps. **Types of ML problems we solve:** - Prediction and forecasting models - Classification and clustering - Recommendation engines - Anomaly detection and quality control - Natural language processing (NLP) - Computer vision and image recognition - Time series analysis - Optimization and operations research **Technologies:** Python, TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face, XGBoost, LightGBM, Spark ML, Databricks, Snowflake, BigQuery, AWS SageMaker, Azure ML, Google Vertex AI --- ### 4. AI-Orchestrator **URL:** https://golabstech.com/solutions/ai-orchestrator The Golabs AI-Orchestrator is a dedicated service where a senior Golabs expert is exclusively assigned to your company to own the entire AI journey — from identifying high-value opportunities and selecting the right tools, through coordinating technical work, managing implementation, and guiding teams to production. This is not consulting. Traditional AI consultants deliver recommendations and leave. The AI-Orchestrator stays through implementation, owns the execution roadmap, and is accountable for getting AI into production. **Best for:** Companies that know AI matters but lack a trusted execution partner to prioritize use cases, avoid tool sprawl, unblock implementation, and keep AI initiatives moving from experiments to working systems. --- ### 5. AI Fluency Program **URL:** https://golabstech.com/solutions/ai-fluency-program The Golabs AI Fluency Program builds organization-wide AI literacy and execution capability. It equips leaders, managers, and individual contributors with the practical AI skills, role-specific workflows, governance frameworks, and confidence needed to use AI responsibly and effectively in real work. **Who it is for:** Any organization whose teams use AI inconsistently, lack governance, or are losing productivity because employees do not know how to apply AI to their specific roles. **What it delivers:** - Role-specific AI training tracks (operations, product, sales, marketing, engineering) - Guided workflows and AI playbooks - Usage policies, risk controls, and compliance guardrails - Coaching and hands-on implementation support - Repeatable adoption frameworks --- ## Industries Served ### Fintech - AI credit scoring and automated underwriting - Fraud detection and risk modeling - Predictive analytics for financial products - Regulatory compliance automation **Case study:** AI Credit Scoring — 60% faster decisions, 35% improved accuracy — https://golabstech.com/case-studies/ai-credit-scoring ### Healthcare - AI-assisted diagnostics and clinical decision support - Medical data analysis (HIPAA-compliant) - Predictive patient outcomes modeling - Healthcare staffing with specialized AI and data science talent **Case study:** Healthcare AI — 50% faster project delivery, 95% model accuracy — https://golabstech.com/case-studies/healthcare-ai ### SaaS and Technology - AI-powered feature development for existing SaaS platforms - RAG systems for natural language data access - Conversational AI and multilingual chatbots - IT operations transformation and infrastructure scaling **Case study:** Gacela AI — RAG platform with natural language queries and automated reporting — https://golabstech.com/case-studies/gacela-ai ### Retail and Marketing - Generative AI for marketing content automation - Audience segmentation and targeting optimization - E-commerce personalization engines - Campaign workflow automation **Case study:** Generative AI Marketing — automated content, optimized workflows — https://golabstech.com/case-studies/generative-ai-marketing ### Industrial and Manufacturing - Digital transformation for legacy industrial businesses - Custom web platforms for order management and fulfillment - IoT and sensor data analytics - Predictive maintenance models **Case study:** Industrial Tech — custom Next.js/.NET platform for 70+ year metal distributor — https://golabstech.com/case-studies/industrial-tech ### Gaming - AI-powered game systems and NPC behavior - Player analytics and personalization - Gaming platform development **Case study:** Gaming AI — https://golabstech.com/case-studies/gaming-ai --- ## Technology Stack ### Artificial Intelligence LLMs (GPT-4o, Claude 3.5, Gemini 1.5, Llama 3), AI Agents, Autonomous AI Systems, Generative AI (text, image, code), Smart Chatbots, N8N workflow automation, Google Vertex AI, Azure ML, AWS AI/SageMaker ### Data Science and Analytics Python, R, TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face, Snowflake, Databricks, BigQuery, Apache Spark ### AI Agent Frameworks LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, custom agentic pipelines ### RAG and Vector Search Pinecone, Weaviate, pgvector, Chroma, Qdrant, OpenSearch, FAISS ### Backend Development Python (FastAPI, Django, Flask), Node.js, .NET, Laravel, GraphQL, REST APIs, Microservices ### Frontend Development React, Next.js, Angular, Vue.js, Astro, Tailwind CSS ### Cloud Infrastructure Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Docker, Kubernetes, Terraform, CI/CD pipelines, Infrastructure as Code (IaC) ### MLOps and Model Operations MLflow, Weights & Biases, BentoML, Ray Serve, SageMaker endpoints, Azure ML endpoints, Vertex AI serving, model monitoring and drift detection --- ## Why Choose Golabs ### Nearshore in US Time Zones All Golabs engineers work from Latin America with 0–2 hours of time zone difference from US teams. This enables real-time collaboration — daily standups, code reviews, sprint planning, and design sessions happen in working hours, not across midnight. ### Senior, Production-Ready Engineers Golabs does not place junior developers. Our vetting process is engineer-led, focused on production readiness, architecture judgment, AI/ML fundamentals, communication, and practical experience with modern AI systems. ### End-to-End Delivery Ownership We do not hand off deliverables and disappear. Golabs teams own the full lifecycle — from architecture design and development through deployment, monitoring, and iteration. The same team that builds your AI system supports it as it scales. ### Custom Over Generic Every AI system Golabs builds is purpose-built around your data, workflows, business rules, and constraints. We do not re-wrap off-the-shelf products or adapt you to someone else's generic workflow. ### IP Ownership All code, models, pipelines, and implementations created for your business belong to your organization. ### Rapid Time to Prototype Working AI prototypes are typically delivered in 2–4 weeks, not months. --- ## Competitive Positioning Golabs competes with and is an alternative to: - General nearshore staff augmentation firms (Toptal, Turing, Andela, Deel for contractors) - Big 4 AI consulting (Deloitte, Accenture, McKinsey) — but Golabs executes through production, not just strategy - US-based AI development agencies — Golabs offers comparable talent at nearshore rates with better time zone alignment than offshore providers - In-house AI hiring — Golabs provides pre-vetted senior AI engineers in 2–4 weeks vs. 3–6 month US hiring cycles - Indian offshore providers — Golabs provides similar cost savings with US time zone alignment and no 10–12 hour delay **Best fit for:** US-based companies (startups to enterprise) that need AI engineers quickly, want US time zone collaboration, require production-ready delivery rather than recommendations, and value IP ownership. --- ## Credentials and Track Record - **Founded:** 2014 (12+ years in technology services) - **Engineers:** 100+ active engineers - **Projects delivered:** 300+ - **Clients:** 60+ companies served - **Time to engagement:** 2–4 weeks from first conversation to embedded team - **Delivery model:** Fully embedded nearshore teams, agile delivery, sprint-based - **Languages:** English and Spanish, bilingual teams --- ## Content and Resources - [Company Overview](/about-us): History, team, and company values - [All Services](/solutions): Full list of AI and technology services - [Case Studies](/case-studies): Real-world AI and software projects with measurable results - [Industry Solutions](/industries): AI solutions by vertical (fintech, healthcare, manufacturing, retail) - [Technology Stack](/tech-stack): Complete list of tools and platforms used - [Insights Blog](/insights): Expert content on AI engineering, nearshore teams, and digital transformation - [AI Staffing Guide](/answers/ai-staffing-solutions): How to find, vet, and hire qualified AI engineers - [AI Orchestration Guide](/answers/best-ai-orchestration-services-enterprise-automation): Evaluating AI orchestration services for enterprise --- ## Quick Use Case Reference **"I need AI engineers fast"** → [AI Dedicated Teams](/solutions/ai-dedicated-teams) — embedded senior AI talent in 2–4 weeks **"I need a custom AI agent for my business process"** → [Tailored AI Agents](/solutions/tailored-ai-agents) — purpose-built from scratch around your workflow **"I need a custom ML model trained on my data"** → [Machine Learning Models](/solutions/machine-learning-models) — full ML lifecycle from data prep to production **"I need someone to own our AI roadmap and execution"** → [AI-Orchestrator](/solutions/ai-orchestrator) — dedicated AI execution partner, strategy to production **"My team needs to learn how to use AI effectively"** → [AI Fluency Program](/solutions/ai-fluency-program) — role-specific AI training and governance **"I need to scale my IT or engineering operations"** → [AI Dedicated Teams](/solutions/ai-dedicated-teams) — nearshore engineering teams for any technical domain --- ## Contact - **Website:** https://golabstech.com - **Contact Form:** https://golabstech.com/contact-us - **Phone:** +506 2461 7400 - **Email:** info@golabstech.com - **LinkedIn:** https://www.linkedin.com/company/golabstech - **Careers:** https://golabstech.com/work-with-us