Capabilities
Coordination is a resource allocation problem under uncertainty. We treat it as one.
We apply operations research, simulation science, and real-time systems engineering to build software that works in real life, not just on paper.
Optimization
Combinatorial optimization for constrained resource allocation
Discrete decisions under hard constraints -- which resource, which route, which assignment -- subject to capacity limits, time windows, and capability requirements. We formulate these as mathematical programs and solve them in operational timeframes.
Multi-objective. Stochastic parameters. Real-time re-optimization as conditions change.
Simulation
Discrete event simulation for validation and scenario analysis
You can't test critical systems with real incidents. We build high-fidelity simulation environments that replay historical patterns, inject synthetic scenarios, and measure system performance against ground truth -- before anything reaches production.
Synthetic data generation. Monte Carlo methods. Controlled experiments before deployment.
Real-Time Systems
Event-driven architecture for distributed coordination
Operational networks are distributed systems with unreliable connectivity, heterogeneous participants, and time-critical state changes. We build infrastructure designed for these realities -- not the clean-room version.
Fault-tolerant messaging. Consistency guarantees matched to domain requirements. Designed for degraded-mode operation.
Data & Integration
Heterogeneous data fusion from operational sources
Real-time optimization requires real-time data from systems that weren't designed to talk to each other. We build the integration layer between what exists and what's needed.
Standards-based where possible. Custom where necessary. Built for the data environments that actually exist, not the ones vendors promise.
Validation
Rigorous methodology for pre-deployment confidence
We don't ship unvalidated systems. Statistical testing against historical data, sensitivity analysis across parameter uncertainty, scenario stress-testing for edge cases, and human-in-the-loop evaluation with domain experts.
Ground truth comparison. Systematic uncertainty quantification. Peer-review mindset.
Research Foundation
Coincident Systems emerged from the Department of Industrial & Management Systems Engineering at Montana State University, in collaboration with the BioReD Hub.
We apply operations research methods -- traditionally used in logistics, defense, and quantitative finance -- to coordination problems in domains where the stakes justify the rigor.
Publications and presentations available upon request.
Questions about our approach?
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