How It Started
OvenLabs began with a conversation between two friends, a data scientist and a DevOps engineer. They talked about the science of modeling and forecasting. A casual discussion about hard predictive problems became a challenge: “It won’t be easy, but given time, it’s doable.”
That conversation led to our first Python proof of concept. It also showed us a core truth: predictive modeling is not magic. It is a craft.
The Recipe for Certainty
Our journey started over a plate of fainá, a simple dish that depends on the right ingredients, precise timing, and careful execution. The same principle applies to business analytics. Forecasting and risk management may feel uncertain, but with science and rigor they become reliable drivers of long-term value.
At OvenLabs, we design and build advanced analytics, risk modeling, and decision optimization. We help organizations turn ambiguity into clear, actionable strategy.
Data is a raw ingredient. On its own it is only potential. Blend advanced mathematics, robust engineering, and human insight, and you get something powerful. Like a good recipe, our solutions are built with precision, transparency, and purpose. They are baked to deliver lasting impact.
Who are we?
Emiliano García | Head of Data Science
Background in mathematical modeling and predictive analytics.
Passionate about turning noisy, complex datasets into clear, actionable forecasts. Focused on designing the statistical models and algorithms that drive OvenLabs’ predictive engine.
Juan Kungfoo de la Cámara | Head of DevOps & Infrastructure
Background in cloud systems, automation, development, and platform engineering.
Dedicated to ensuring models don’t just stay in a notebook, but run reliably in production. Focused on building scalable, secure data pipelines and cloud infrastructure.
Core Capabilities
Predictive Forecasting
Transform historical data into clear future insights. We build custom time-series and demand models that help you anticipate market shifts and plan with confidence.
Risk Modeling & Scenario Analysis
Quantify uncertainty before making high-stakes choices. Our models simulate complex risk variables to protect your bottom line against downside threats.
Decision Optimization
Bridge the gap between raw predictions and real-world execution. We engineer algorithms that identify the best operational path forward under real-world constraints.
Our Process (How We Work)
- Audit & Preparation (Gathering Ingredients)
We evaluate your current data pipelines, assess data quality, and define clear business goals to set a solid foundation.
- Model Engineering (Crafting the Recipe)
We develop custom mathematical models tailored to your specific domain, rigorously testing for accuracy, transparency, and edge cases.
- Deployment & Scaling (Serving Value)
We integrate models into your existing software infrastructure using robust DevOps practices, ensuring stable, real-time performance.