Where Human Judgment Meets AI Execution.
Staff Augmentation & AI Consulting Corporate Presentation
The cost of waiting rises every quarter.
Your competitors are already embedding AI into their products, operations, and decision-making processes. This isn't a trend to evaluate next year, it's the new baseline.
Organizations that move now define the pace of their industries; those that wait spend the next cycle catching up to capabilities that customers and employees already expect as standard.
Most organizations don't need another AI strategy deck. They need practical execution, measurable outcomes, and a partner capable of turning opportunities into solutions.
Focus on the outcomes. We'll handle the complexity, identify the best path forward, and execute alongside your team to deliver results.
Technology doesn't create transformation. People do.
At Golabs, we help organizations unlock better outcomes by empowering the people behind the business. We take the time to understand how teams operate, where opportunities exist, and what success looks like in practice, ensuring every solution is designed to create meaningful impact, not just technical progress.
Through partnership, execution, and a relentless focus on results, we help our clients accelerate adoption, improve performance, and build capabilities that last long after a project is complete.
Because the most successful solutions aren't defined by the technology behind them, they're defined by the value they create for the people who use them.
Established in Costa Rica in 2014, Golabs Tech set out with a bold vision to bridge world-class talent with transformative technology for businesses across the Americas.
As the company grew, so did its ambitions. By 2018, Golabs had earned a reputation for scalable, forward-thinking solutions and lasting client partnerships. In 2019, strategic alliances unlocked powerful new capabilities in AI and cloud computing. When the world shifted in 2020, Golabs led clients through digital transformation with confidence and agility.
In 2023, a landmark acquisition by a leading investment fund opened a new chapter, accelerating innovation and cementing Golabs Tech as a technology leader.
12+
years in the industry
300+
clients served
100+
professionals placed or managed
50+
AI and ML projects delivered
10+
countries of operation
We lead through service, empowering our teams and products to grow by putting people before hierarchy.
We design with intention, not habit. Every decision is deliberate, meaningful, and built to create real impact.
Think fast. Execute better. Agility is not a process; it is the way we operate every single day.
We solve tomorrow's challenges today, staying ahead so our clients never fall behind.
Test. Learn. Evolve. We embrace experimentation as the engine of continuous improvement.
Without true collaboration, there is no real impact. Partnership is non-negotiable.
Built to scale. Built to last. We engineer solutions with longevity and growth in mind.
Everything starts with the client and is validated through real, measurable results, nothing less.
Our Core Value:
Technology is never the starting point.
First, we understand the people, the problem, and the context. Then we use AI, senior talent, and speed to create real, scalable, and impactful solutions. We believe in humanizing innovation.
Fintech
Technology & SaaS
Media & Entertainment
Government & Public Sector
Banking
Retail & E-Commerce
Energy & Utilities
Healthcare & Life Sciences
Telecommunications
Manufacturing & Supply Chain
Discover how we build production-ready AI systems that drive real business outcomes without delays.
Build your AI team in days, not months.
Key points:
01
Leverage our established talent pipeline of AI professionals across LATAM, reducing sourcing time and providing faster access to qualified candidates.
02
Our AI-powered recruiting process is complemented by experienced technical recruiters and engineering leaders who validate not only skills, but real-world experience, problem-solving ability, and the value each candidate can bring to your team.
03
From EST to PST, our teams work when your teams work, enabling real-time communication, faster decisions, and seamless integration into your day-to-day operations.
04
Successful partnerships go beyond technical skills. Our professionals adapt naturally to your team's ways of working, helping reduce friction and improve collaboration.
Every candidate clears a rigorous technical evaluation led by senior architects who actually build AI systems, not recruiters scanning keywords.
You get same-time-zone collaboration, cultural alignment with US tech firms, and a curated shortlist within 72 hours. Skip the saturated domestic talent war and integrate production-ready specialists into your Agile ceremonies, sprints, and roadmap from day one. Build your AI engine with engineers who hit the ground running.
We take a partnership-driven approach to understand your team, business goals, and success criteria, ensuring we find talent that can deliver meaningful impact.
Activate our pre-vetted talent pool and identify professionals aligned with your technical and business needs.
Candidates assessed by experienced technical professionals who validate practical expertise, communication skills, and the ability to contribute from day one.
We take a partnership-driven approach to understand your team, business goals, and success criteria, ensuring we find talent that can deliver meaningful impact.
Activate our pre-vetted talent pool and identify professionals aligned with your technical and business needs.
Candidates assessed by experienced technical professionals who validate practical expertise, communication skills, and the ability to contribute from day one.
Present a curated shortlist of top candidates, enabling faster and more informed hiring decisions.
Coordinate and support interviews to ensure an efficient and seamless evaluation process.
Support onboarding and integration to help new team members contribute from day one.
Present a curated shortlist of top candidates, enabling faster and more informed hiring decisions.
Coordinate and support interviews to ensure an efficient and seamless evaluation process.
Support onboarding and integration to help new team members contribute from day one.
Our consultant and contractor network includes pre-vetted professionals across the following disciplines:
| Capability | Tools and platforms |
|---|---|
| AI & Machine Learning | OpenAI / Azure OpenAI, Anthropic Claude, Hugging Face, LangChain, LlamaIndex, TensorFlow, PyTorch, Scikit-learn, XGBoost |
| Cloud Platforms | Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Oracle Cloud |
| Data & Analytics | Snowflake, Databricks, dbt, Apache Spark, Kafka, Airflow, Power BI, Tableau, Looker |
| Software Development | Python, Java, TypeScript / JavaScript, Go, Rust, React, Node.js, FastAPI, Spring Boot, Docker, Kubernetes, Terraform |
| MLOps & DevOps | MLflow, Kubeflow, SageMaker Pipelines, GitHub Actions, Jenkins, ArgoCD |
Stop planning AI. Start executing it with a dedicated driver for your AI journey.
Stop planning AI. Start executing it.
Key points:
01
Unlike traditional advisors, the AI Orchestrator becomes part of your organization, working closely with stakeholders across the business to identify opportunities, execute initiatives, and drive meaningful adoption.
02
The AI Orchestrator evaluates each opportunity based on business impact, not technology preferences. By selecting the right tools for each use case, they ensure AI initiatives remain aligned with business goals and deliver measurable results.
03
No black boxes, no uncertainty. Weekly deliverables and clear reporting provide visibility into progress, priorities, business impact, and the value being generated across the organization.
04
No handoffs. No strategy documents left behind. The AI Orchestrator takes ownership from opportunity identification through implementation and adoption, ensuring AI initiatives translate into real business impact.
They learn your processes, identify high-impact opportunities, and personally build the solutions: writing code, selecting tools, and deploying integrations. Working through a 7-phase framework that balances velocity, ROI, and security, your Orchestrator delivers weekly tangible progress, transparent reporting, and a constant stream of innovation. Vendor-agnostic and ROI-driven, they stay as long as the work demands. Stop planning AI. Start executing it with a driver, not an advisor.
To ensure speed without sacrificing security, we follow a clear, proven methodology. We separate the foundation from the execution to keep your project moving.
01
We begin with a comprehensive assessment of your organization's AI landscape. By evaluating your data, systems, processes, tools, and current AI maturity, we establish a clear understanding of where you are today and identify the highest-value opportunities for adoption and impact.
02
As Charles Kettering said, "A problem well stated is a problem half solved." Once we understand your current environment, we work with key stakeholders to identify the opportunities that matter most. By evaluating business needs, constraints, and potential impact, we prioritize initiatives, surface quick wins, and create a roadmap for meaningful AI adoption.
03
With priorities clearly defined, we evaluate the best path forward, whether that's AI, traditional software, an existing vendor solution, or a combination of approaches. Every recommendation is driven by business value, feasibility, and long-term success.
04
From data protection and access controls to regulatory requirements and industry standards, we incorporate security and compliance into every stage of the solution. By addressing these considerations early, organizations can innovate confidently while maintaining trust, reducing risk, and meeting stakeholder expectations.
05
With priorities defined and solutions approved, we move into implementation. Through weekly deliverables, transparent reporting, and continuous feedback, stakeholders maintain full visibility into progress while initiatives move steadily from concept to measurable business impact.
06
By establishing clear ownership, monitoring performance, and aligning stakeholders, we create the foundation needed for sustainable adoption, continuous improvement, and long-term business value.
07
As technologies, tools, and best practices evolve, we continuously evaluate opportunities for improvement, helping ensure your AI capabilities remain effective, current, and positioned to create lasting value.
Don't settle for generic. Build agents that know your business.
Key points:
01
Tailored AI Agents are designed to work within your existing technology stack, connecting seamlessly with the tools, platforms, and workflows your teams already use, minimizing disruption and accelerating adoption.
02
Unlike off-the-shelf AI tools, our agents are purpose-built around the way your business operates, ensuring every interaction, decision, and workflow aligns with your organization's needs.
03
Everything we build belongs to you. From the underlying code and business logic to the workflows and integrations, your organization retains full ownership and control of the solution and the value it creates.
04
We leverage leading agentic AI frameworks to build scalable, reliable, and adaptable solutions. By selecting the right architecture for each use case, we ensure agents can evolve alongside your business and support increasingly complex workflows over time.
Built on LangChain, LangGraph, CrewAI, and leading LLMs, our agents handle complex reasoning, execute multi-step tasks, and mimic your best operators. Critically, every line of code, every logic flow, and every integration is your intellectual property. No vendor lock-in, no subscription dependency, no shared logic, just a purpose-built AI workforce that scales with your business and stays yours exclusively.
Lead the change in your industry, don't follow it.
Key points:
01
Designed for business and technology leaders, this track provides the frameworks, insights, and practical understanding needed to identify AI opportunities, evaluate investments, manage risk, and drive adoption across the organization.
02
Understanding where your organization stands is the first step toward successful adoption. We assess current capabilities, identify areas for growth, and surface opportunities where AI can deliver measurable impact.
03
Every workshop is tailored to your industry, business functions, and real-world challenges. Participants learn through practical exercises, use cases, and workflows they can immediately apply within their day-to-day responsibilities.
04
AI impacts every level of the organization differently. We tailor learning experiences to each audience, ensuring leaders, managers, and individual contributors gain the knowledge and skills most relevant to their responsibilities.
We begin with a Company-Wide Assessment to map skill gaps and surface high-ROI opportunities, then deliver tailored curriculum by department and industry. Executives get strategic frameworks for governance and decision-making. Teams attend hands-on labs where they build prompts, test agents, and automate real workflows. The outcome: unified vision, reduced friction, measurable ROI, and a culture where AI fluency is no longer optional. Lead the change.
Stop guessing. Start predicting.
Key points:
01
Your competitive advantage lives in your data and processes. Our models are engineered around both, delivering insights and predictions aligned with the way your business actually operates.
02
Building a model is only the first step. We help organizations move beyond prototypes and proofs of concept, deploying machine learning solutions that integrate with business processes and deliver measurable value at scale.
03
Machine learning can help organizations predict what comes next. From customer behavior and demand forecasting to inventory optimization and operational planning, our models are designed to support smarter business decisions.
04
We leverage industry-leading machine learning technologies to build scalable, reliable, and production-ready solutions. By selecting the right tools for each use case, we ensure flexibility, performance, and long-term maintainability.
From churn prediction and fraud detection to supply chain optimization and computer vision, we take models from notebook experiments to full-scale production, then monitor for drift and retrain as your data evolves. You own the model, the math, and the proprietary advantage: higher accuracy, optimized performance, scalable architecture, and your intellectual property.
Tailored execution models designed for speed, ROI, and sustainable value.
AI Dedicated Team & AI Orchestrator - Pricing
A dedicated resource fully embedded in your organization. Supported by Golabs' operational and delivery framework, this model gives you full-time capacity with predictable monthly pricing and dedicated support.
How we get started:
Meet with our team to discuss your objectives, technical requirements, team structure, and success criteria. Together, we'll define the ideal profile and engagement model for your needs.
Receive a curated shortlist of pre-vetted candidates aligned with your requirements, including technical expertise, communication skills, and team fit.
Interview selected candidates, make your final selection, and onboard your new team member with support from Golabs and your dedicated Client Services Manager.
Fixed-Price Enablement Program
A structured program designed to build AI fluency across the organization while identifying opportunities for adoption and measurable business impact.
How we get started:
Evaluate your organization's AI readiness, current skill levels, and opportunities for adoption. This assessment establishes a baseline and helps define the most impactful learning paths.
Receive a tailored enablement plan including audience segmentation, learning tracks, workshop structure, and recommended focus areas based on your industry and business environment.
Kick off the program with role-based workshops, hands-on sessions, and practical exercises designed to accelerate adoption and build AI confidence across the organization.
How we get started:
Assess your business challenge, environment, and opportunities through a structured discovery process. Receive a detailed assessment report documenting findings, recommendations, proposed approach, and key project considerations. Discovery fees are applied toward the project investment.
Receive a customized scope, timeline, deliverables, and investment summary within five business days.
Finalize the agreement, align on priorities, and begin delivery with a structured project kickoff.
We don't try to fill every role. We focus on the technical profiles where we are truly exceptional.
Average time-to-shortlist of 3 business days for staff augmentation roles.
Strategy, engineering, data, and talent. Clients don't need multiple vendors.
Project-based, T&M, retainer, or dedicated team. We adapt to your work style.
50% of our revenue comes from repeat clients and referrals.
Regular check-ins, shared dashboards, and a dedicated client success manager.
Robert Wolf
CEO
Mario Cuadra
CFO
Tracy Sanchez
CRO
Carlos Rojas
CTO
Steven Alfaro
CMO
Camila Martínez
TA Manager
| Client | Procore  |
|---|---|
| Challenge | The client needed to scale multiple critical IT initiatives simultaneously across identity, cloud, security, collaboration tools, and IT service management. Rather than isolated hires, they required a reliable partner capable of delivering specialized talent across concurrent projects while ensuring alignment with internal systems, timelines, and evolving priorities. |
| Solution | Golabs delivered a multi-engagement staffing model, placing specialized professionals across key domains, including Identity & Access Management (Okta), Atlassian ecosystem (Jira, Confluence, JSM), data migration (Smartsheet), enterprise systems (Workday), ITSM (ITIL), and Cloud & Security engineering. Teams worked with technologies such as AWS, Terraform, Cloudflare, GitHub Advanced Security, CircleCI, and modern identity platforms like Lumos, enabling secure, scalable, and integrated solutions across the client's ecosystem. |
| Timeline | Ongoing partnership since May 2025 |
| Results |
|
| Client | SolarWinds  |
|---|---|
| Challenge | SolarWinds, a leading provider of IT management software trusted worldwide for network, systems, and database monitoring, needed to scale operations across multiple IT domains. With growing demands in Salesforce administration, device management, and infrastructure support, they required reliable specialists who could integrate seamlessly, onboard quickly, and standardize processes while keeping costs efficient. |
| Solution | Golabs delivered a tailored, multi-engagement staffing model, placing specialized professionals across Salesforce support, Identity & Access Management, device management, infrastructure and server support, VDI, and VMware system engineering, plus SAP and project-based specialists. Teams were phased in directly within client workflows, ensuring knowledge transfer, minimal downtime, and rapid adoption of standardized processes across diverse technology platforms. |
| Timeline | Phased, ongoing partnership - starting with Salesforce specialists and expanding by domain |
| Results |
|
| Client | Fractal  |
|---|---|
| Challenge | Fractal, a global leader in enterprise AI and analytics, needed highly skilled technical talent to accelerate AI delivery and unlock specialized capabilities across key growth initiatives. Critical roles in data science, machine learning, and analytics were difficult to hire at scale, and talent bottlenecks were slowing delivery velocity and time-to-market for strategic AI products. |
| Solution | Golabs partnered with Fractal to augment their technical teams with nearshore staff across Business Analyst, Data Scientist, and Machine Learning Engineer roles. The delivery model emphasized seamless integration with Fractal's internal teams, nearshore alignment on culture, time zone, and communication, and deep domain expertise with high responsiveness, accelerating data science, ML, and Generative AI workflows across the organization. |
| Timeline | Ongoing nearshore staff-augmentation engagement across data science and ML teams |
| Results |
|
| Client | Edimca  |
|---|---|
| Challenge | Edimca, an innovative company in the wood manufacturing sector, needed to reduce production costs without compromising quality. The challenge was producing boards and wooden parts that met two quality criteria simultaneously while minimizing costly inputs such as wood and resin. Conventional optimization techniques could not solve this; a multi-objective approach was required to balance cost and quality. |
| Solution | Golabs designed and developed a tailored multi-objective regression solution, applying specialized expertise in uncommon optimization problems. Using R and Python, the team built and tuned models, handled data preprocessing for missing values and outliers, and selected the most robust algorithm by Mean Squared Error. An HTML interface and HTTP consumption API integrated the best-performing model directly into the client's production workflows. |
| Timeline | MVP delivery - multi-objective optimization solution integrated into production |
| Results |
|
| Client | Interlub  |
|---|---|
| Challenge | Interlub, a leader in specialized lubrication solutions, manages a complex catalog of 2300+ SKUs across highly volatile demand regimes. Traditional models captured trend but missed magnitude, manual SKU breakdowns leaked volume, and the absence of automated validation hid stockout and overstock risks. Processing thousands of time series manually was unfeasible at the required monthly planning cadence. |
| Solution | Golabs designed an end-to-end, five-stage forecasting pipeline integrated with Microsoft Fabric and GPU-accelerated. A hybrid cohort engine ran a model tournament (CatBoost, LGBM, XGBoost, Ridge) for continuous items and SBA for intermittent demand, with individualized per-SKU training. A post-model calibration layer and Largest Remainder Method distribution ensured publishable, mathematically consistent forecasts down to each commercial presentation. |
| Timeline | Automated monthly forecasting pipeline - ongoing production engagement |
| Results |
|
“The team is very competent, and communication is great throughout the hiring process and beyond that. I feel comfortable enough with the Golabs team to express concerns, but thankfully, I have not had any problems. I can honestly say I have had a good experience all around.”
Tania
IT Manager
“The communication with the Golabs team is key to the success of this partnership. Ongoing sync to make sure we work closely together and get ahead of any issues means we can build trust between our customers and the team.”
Jonathan
CTO
AWS Partner Network, Microsoft AI Partner, Google Cloud Partner, NVIDIA
ISO 27001, SOC 2 Type II, CMMI Level 3. AWS Solutions Architect, Google Professional ML Engineer, PMP, SHRM.
Let's Talk AI
Ready to Get Started?
Whether you need to scale your AI or engineering team next week or are planning a multi-year AI transformation, we are ready to help. Here is how to connect with us:
Click to schedule a free 30-minute discovery call:
Schedule a MeetingEmail us directly:
tracy.sanchez@golabstech.com
Thank you for your time.
We look forward to partnering with you.
Human first.
Smart tech.
Real impact.
