Let's Solve Your Most Complex Operational Challenges
We apply custom machine learning, optimization, and matching algorithms to unlock efficiency and improve data-driven decisions for your organization.
Organizations Face Complex Operational Challenges
The scheduling nightmare that takes weeks to solve manually. The resource allocation that's never quite right. The demand patterns no one can predict.
Manual processes waste resources and frustrate stakeholders. We work with them to solve these problems with intelligent automation.
Our Core Capabilities
We apply advanced mathematical theory and machine learning to solve complex operational challenges.
Demand Forecasting
We don't use off-the-shelf forecasting. We build custom neural networks and ensemble models tailored to your specific domain, seasonality, and constraints.
Scheduling
Scheduling isn't just about avoiding conflicts—it's about finding optima among countless constraints. We use advanced constraint programming and metaheuristics to solve scheduling problems that would take humans weeks.
Allocation and Matching
Based on Nobel Prize-winning mechanism design theory, our matching algorithms seek optimal, strategy-proof allocations. We solve complex many-to-many matching problems with fairness constraints and preference optimization
Use Cases
See how our core capabilities translate into real-world solutions across industries.
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Education
For universities and colleges, we apply optimization to automate complex course scheduling, forecast student demand with machine learning, and ensure fair allocation of resources, ultimately improving the student and administrative experience.
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Healthcare
For healthcare providers, we develop scheduling systems that create optimal nurse and physician rosters, predict patient admission rates, and streamline the allocation of operating rooms and critical equipment.
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Logistics
In logistics, our constrained optimization models can solve complex vehicle routing problems, optimize warehouse slotting, and forecast inventory needs to reduce operational costs and improve delivery times.Featured Work:
Modernizing Academic Planning for UEAN
To foster academic excellence and growth, Universidad Escuela Argentina de Negocios (UEAN) is partnering with Interpares to transform its core scheduling process into a strategic asset in time for the 2026 academic year.
We are creating an intelligent planning platform to automate and optimize scheduling—from forecasting course demand with machine learning to balancing complex constraints. The new system will ensure UEAN is ready to meet the future with a more agile, data-driven, and student-centric approach.
Contact Us
Let's discuss how our optimization capabilities can transform your operations.
Prefer email? Reach us at [email protected]