Applied AI systems for prediction, analysis, automation and decision-making.
Solve difficult problems using AI, quantitative modeling and intelligent systems.
Explore Solutions →Simulators and platforms we build and operate ourselves — some free, some paid.
Explore Software →We combine these fronts as each problem requires — never selling technology the project doesn't need.
Predictive modeling, forecasting, anomaly detection, classification and optimization — built for production, not just notebooks.
RAG systems, enterprise knowledge assistants, AI agents and LLM integration designed around real workflows.
Data pipelines, analytics, dashboards and time-series analysis that turn raw data into a decision layer.
Scientific machine learning, computational modeling and simulation for complex and nonlinear systems.
A gamified investment simulator for learning how the Brazilian stock market really works — real market data, a portfolio to manage and instant feedback, with no real money at risk.
A gamified investment simulator for learning how the Brazilian stock market really works — real market data, a portfolio to manage and instant feedback, with no real money at risk.
Practical software for analysis, simulation and better decisions — free to use.
Growth mode projects your wealth forward; Goal mode solves backward for the contribution, time, or return a target actually requires.
Open calculator →Model accumulation, fixed income, equities, inflation and withdrawals together — with Monte Carlo uncertainty and FGC coverage checks.
Plan your retirement →Fixed-income comparisons and loan amortization are next.
A sample of what we've already built, with the method behind each solution.
Projects are structured around the problem, the available data, the target metric and the expected outcome — not a fixed methodology template.
We understand the problem, the available data and the project's real constraints.
We quickly build a verifiable solution, not a promise.
We technically measure whether the approach works before scaling it.
We integrate the solution into the real operating environment.
We continuously monitor and improve using real usage data.
Paulo founded Prota AI with his experience in computational physics and data science, backed by peer-reviewed publications on neural network synchronization, critical transitions, and complex systems. That background shapes how the company works: problems are approached with the same rigor as scientific research, not wired together from generative AI APIs alone.
Let's assess, with technical rigor, whether AI can actually solve it — and how.