EVENT
BIP at Gurobi Decision Intelligence Summit 2026
Mathematical optimization for real world operations (tirar oculto dia 22)
BIP combines mathematical optimization, data science, and operational expertise to help organizations improve complex planning and decision making.
Our work covers the full optimization lifecycle, from structuring the problem and validating operational data to implementing solutions that become part of everyday operations.
Optimization expertise for complex operations
At BIP, we develop optimization solutions designed around the reality of each operation.
Agents can support specific stages of this work by helping teams validate inputs, move more quickly from a mathematical specification to an initial model, and explore the results through new questions and comparable scenarios.
The mathematical optimization model remains the decision engine. The agent layer supports the data, development, and interaction around it.
- Accelerate initial model development
Agents can help validate digital twin inputs and identify inconsistencies before they affect the optimization model.
- Improve confidence in operational data
They support the transition from a mathematical specification to a first working formulation, giving technical teams a more structured starting point.
- Make results easier to explore
Business teams can investigate the resulting plan, compare alternatives, and understand the constraints and tradeoffs behind each decision.
Railway crew scheduling in continuous operations
Railway crew scheduling involves assigning and sequencing train drivers across a live network while balancing idle time, overtime, relocation costs, operational requirements, and labor rules.
BIP developed a solution that uses Gurobi to rebuild a 24 hour crew plan every hour, based on information received from operational systems.
The solution was designed for continuous operations, where plans need to respond to disruptions and changing conditions throughout the day.
In this context, agents support the validation of inputs, the development of the optimization model, and the interaction between business teams and the resulting plan.
Meet our specialists
Elízio Almeida
Data Science Innovation Lead, BIP
Elízio leads initiatives that connect data science, analytics, and optimization to complex business and operational challenges.
Bráulio Souza
Operational Research Principal Lead, BIP
Bráulio specializes in operational research and mathematical modeling, developing optimization solutions for planning and decision making in complex operations.
A recognized partnership with Gurobi
BIP is a Gurobi Premier Partner and was named Gurobi Latin America Partner of the Year in 2024.
This partnership combines BIP’s experience in mathematical modeling, technology implementation, and complex operations with Gurobi’s optimization technology.
Our specialists also include professionals certified to deliver Gurobi training in Latin America, reinforcing the technical knowledge behind the solutions we develop and implement.
Solutions in practice
Explore how BIP applies optimization, analytics, and operational intelligence to real business challenges.
Advanced optimization for one of the world’s largest railway operations
Optimization solutions for railway circulation and wagon allocation helped increase operational predictability, improve asset utilization, and strengthen integration across mine, railway, and port operations.
Operational intelligence from management to the field
A real time intelligence platform connected operational data, management teams, and equipment operators across a large mining operation, generating measurable gains in productivity, safety, and fuel efficiency.
An intelligent platform connecting operations, logistics, and execution
An integrated platform brought together operational data, logistics planning, financial information, and business knowledge to support faster and more coordinated decisions.
Highlights
The Wall at the Trading Desk
Agentic AI can already support research, recommendations, and risk checks in capital markets. The harder challenge begins at execution, where firms need clear accountability, supervision, information controls, and governance architecture before agents can move closer to autonomous decisions.
From complex models to practical decisions
BIP supports organizations throughout the optimization journey, from understanding the operational challenge to implementing solutions that can be used and maintained by the business.
We combine mathematical optimization, data science, technology, and operational knowledge to develop solutions that work under real constraints.
