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, turning data into intelligence and intelligence into AI-powered products.

Our story

DataIntelligenceAI

Raw signal

We’re Tecnologías VM, a founder-led software studio from Costa Rica, working together since 2018. One throughline has run through everything since day one: we integrate emerging technologies, several at once, to solve problems the conventional stack can’t reach.

We started deep in data. Elasticsearch, social media analytics, making sense of complex information at scale. That order is the point: we understand before we build. Over the years that data work sharpened into intelligence, moving 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 landed on AI by accident. We’re a small, working studio, and our advantage is velocity, judgment, and timing: spotting a technology as it emerges, combining it with others, and shipping what 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 the data layer to the 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
8Years building, since 2018
5Presidential campaigns supported
50K+Social posts analyzed per day, at scale
FinalistFinancial AI Hackathon, 2025

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.

Three people, working agentic-first on a modern stack: the technologies we bet on are the ones we build with. Small is the point. It gives us the velocity, judgment and timing to ship what larger teams can’t.

Michael Varela

Michael Varela

Co-Founder · AI Engineer

Computer Engineering · TEC

Builds the product side: the interfaces, integrations, and connections that turn AI systems into something people can use.

LinkedIn
Oscar Montes

Oscar Montes

Co-Founder · AI Engineer

Computer Engineering · TEC

Builds the brains of our products, from backend architecture to RAG pipelines and multi-agent systems.

LinkedIn
Arliny Brenes

Arliny Brenes

Frontend & AI Engineer

Software Engineering · UNED

Shapes the frontend and mobile side, UI-focused and AI-integrated, across our web and app products.

LinkedIn
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.