Strategy · ML · NLP/LLMs · MLOps

AI that integrates. AI you trust.

SIMBig AI designs and deploys applied AI solutions for organizations across Latin America — from idea to production with measurable impact.

Backed by the SIMBig Conference (since 2014) & the LASAI School.

Since 2014
A decade of SIMBig community
Latin America
Focused on the region
Research + Industry
Academic rigor, real deployments
Pilot in 90 days
From idea to working pilot
Team working on applied AI Collaboration
2014
Building AI community
in Latin America

About SIMBig AI

Driven by research,
focused on real impact

We bring the academic rigor of the SIMBig Conference and the hands-on training of LASAI to enterprise AI. No endless consulting — clear deliverables and metrics from day one, so AI actually reaches production.

Academic rigor + field experience
Measurable impact, not slideware
Responsible AI & governance built in
Talk to a consultant
info@simbig.org

What we do

Applied AI services

Clear packages, from strategy to production — pick the entry point that fits your team.

AI Strategy & Roadmap

Maturity and opportunity assessment, a roadmap of quick wins and bigger bets, plus governance and Responsible AI.

e.g. 12-month AI roadmap with prioritized quick wins.

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ML & Analytics

Predictive models, segmentation and optimization with experimentation, metrics and product-oriented data pipelines.

e.g. churn-prediction model that lifts retention.

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NLP & LLMs

RAG, internal assistants and agents, document understanding — with quality and safety evaluation, and fine-tuning when it pays off.

e.g. RAG assistant over 20k institutional documents.

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MLOps & Production

Reliable deploys and monitoring (drift, performance), retraining, traceability, and control over cost, latency and reliability.

e.g. monitored deployment with drift alerts and retraining.

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Workshops in-company

Applied bootcamps for your team, best-practice playbooks and reference architectures to build internal capability.

e.g. applied LLM bootcamp for a 20-person data team.

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Responsible AI

Risk, compliance and evaluation frameworks so your AI is trustworthy, transparent and audit-ready from the start.

e.g. risk & compliance evaluation for a public-sector model.

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What you can buy

Typical engagements

Productized ways to start — pick the scope that fits, and we'll send a tailored proposal.

1 week Best first step

AI Opportunity Assessment

Ideal for a first AI initiative

  • Executive workshop
  • Opportunity assessment
  • High-level AI roadmap
  • Clear next steps
2–3 weeks

AI Strategy Sprint

For teams shaping their AI roadmap

  • Maturity & opportunity assessment
  • Prioritized AI roadmap
  • Governance & Responsible AI
  • Executive readout
6–10 weeks

AI Pilot

Validate one high-value use case

  • Working prototype
  • Evaluation & ROI metrics
  • Validation with users
  • Go / no-go report
8–12 weeks +

AI Production Accelerator

Take a proven pilot to production

  • Deployment (MLOps)
  • Monitoring & governance
  • SLAs & operations
  • Team enablement

The SIMBig ecosystem

Trusted by universities, companies and research partners across Latin America and beyond.

Google LASAI UNMSM PUCP UPC Universidad del Pacifico CONCYTEC BBVA BCP Consulado General del Peru en San Francisco Springer NAACL

Leadership & expertise

Led by researchers and practitioners

SIMBig AI is led by researchers and practitioners with experience at the National Institutes of Health (NIH), Stanford, and the De Vinci Research Center (Paris) — spanning academia, healthcare, government and industry across the Americas and Europe.

Juan Antonio Lossio-Ventura

Juan Antonio Lossio-Ventura

Staff Scientist, NIH

National Institutes of Health (NIH) · ex Stanford, USA

AI · NLP · LLMs · Machine Learning · Health · Medicine
National Institutes of Health Stanford University Xerox Orange
LinkedIn
Hugo Alatrista-Salas

Hugo Alatrista-Salas

Researcher, De Vinci Research Center

De Vinci Research Center, Paris

AI · Data Science · Innovation
De Vinci Research Center
LinkedIn

Let's talk

Ready to put AI to work?

Tell us the problem you want to solve, the data you have and the goal. We'll come back with a clear, realistic plan.