Tecnologías VM
Software studio · Costa Rica · Est. 2018

Years making sense of data. Now building intelligence.

A small, founder-led software studio from Costa Rica, building AI-powered products — for our clients and for ourselves.

Our story

Data Intelligence AI

We’re Tecnologías VM, a founder-led software studio from Costa Rica, working together since 2018. From day one our work has had one throughline: integrate emerging technologies — not one, but several at once — to solve problems the conventional stack can’t reach.

We started by working deeply with data — Elasticsearch, social media analytics, making sense of complex information at scale. That reflects how we operate: understanding before building. Over the years that data work sharpened into intelligence, as we moved from statistical reports to AI-validated insight, and from search to RAG, GraphRAG, and multi-agent systems.

Now we channel that experience into AI-powered products — for our clients and for ourselves. We’re not generalists who happened to land on AI. We’re a small, working studio whose advantage is velocity, judgment, and timing: finding the technology that’s just emerging, combining it with others, and shipping something the average team can’t build yet.

What we do

From raw data to working AI products.

01

Data & Search

We make sense of complex information at scale — extracting, indexing, and searching across millions of documents.

ElasticsearchData pipelinesInformation retrievalSocial analytics
02

Analytics & Intelligence

We turn raw signals into insight — from social behavior and collective thinking to the patterns that drive real decisions.

NLPMachine learningEmbeddingsClassification
03

AI & Multi-Agent Systems

We build agentic systems that reason over knowledge graphs and surface answers — backed by source documents, not guesses.

RAGGraphRAGLangGraphMulti-agent
04

AI Product Development

We design and ship full AI products end to end, from data layer to interface — for our clients and for ourselves.

LLMs / AI APIsReact / Next.jsFastAPIAutomation
05

Technology Validation

We map where a technology really sits before betting on it, and report what we learn — including the approaches that don't survive.

Hype-cycle mappingEarly adoptionHonest validation
Technology

The stack behind the work.

Data & Search
  • Elasticsearch
  • Weaviate
  • Neo4j — graph + vector
  • Data pipelines
  • Embeddings
  • Information retrieval
AI & ML
  • LLMs / AI APIs
  • RAG & GraphRAG
  • LangChain · LangGraph
  • CrewAI
  • NLP
  • Multi-agent orchestration
Mobile & Web
  • Python
  • React / Next.js
  • TypeScript
  • FastAPI
  • Node.js
  • iOS / Swift
By the numbers
0Years building, since 2018
0Presidential campaigns supported
0K+Social posts analyzed per day, at peak
FinalistLandingAI 2025 Hackathon

Five presidential campaigns across Costa Rica, Panama, and El Salvador — plus mayoral and government work in Central America.

Who we are

A small team that moves fast.

Tecnologías VM is three people: two co-founders — equal in everything: ownership, authority, voice and credit, the V and the M of our logo — and a software engineer. All three of us work agentic-first on a modern stack: the technologies we bet on are the ones we build with. Small isn’t a weakness — it’s velocity, judgment and timing, and it lets us ship things larger teams can’t.

Michael Varela

Michael Varela

Co-Founder · AI Engineer

Computer Engineering · TEC

Engineers the product layer — interfaces, integrations, and the connections that bring AI systems to life.

LinkedIn
Oscar Montes

Oscar Montes

Co-Founder · AI Engineer

Computer Engineering · TEC

Engineers the intelligence layer — backend architecture, RAG pipelines, and multi-agent systems.

LinkedIn
Arliny Brenes

Arliny Brenes

Frontend & AI Engineer

Software Engineering · UNED

Builds the frontend and mobile layer — UI-focused, AI-integrated, across web and app products.

LinkedIn

We’re also technical partners and co-founders in Traveliru, a separate company.

Contact

Let’s build something that works.

Have a real problem where emerging technology might be part of the answer? We’d like to hear about it.