THE MODERN OPTIMIZATION STACK

Breakthrough solver technology.

AI-powered tools.

For the teams planning the future.

SimpleRose combines massively parallel optimization solvers with AI-powered scoping tools, so organizations can manage complexity through better planning, scheduling, and response.

TWO WAYS IN

Pick your path.

ROSE CONSULTANT • EARLY ACCESS

The depth of an entire consulting team. In one conversation.

A subject matter expert who listens, asks the right questions, and tells you the truth. Every Rose Consultant session walks through six structured phases and produces a complete executive summary and technical brief, ready to share with leadership and your build team.

  • 1
    Problem Diagnosis
  • 2

    Problem Classification

  • 3

    Cost-Benefit Analysis

  • 4
    Problem Structuring
  • 5
    Data Reality Check
  • 6
    Optimization Fit

SOLVER-AS-A-SERVICE
Optimization on demand. Cloud-native by default.

Consume optimization like any cloud service. Self-service. Pay only for what you solve. Available through an API and SDK, so it drops into the application or workflow you already have.

ROSE SOLVER

Massively Parallel, delivered over an API.

A high-throughput, large-scale mixed-integer linear programming solver that parallelizes the full branch-and-bound tree, not just the LP relaxation, across CPUs.

Cloud Native

  • Parallel across the full tree. Branching, cuts, and heuristics distributed, not just LP solves.
  • Strong fit for decomposable problems. Network design, stochastic scenarios, coverage and assignment.

  • Better than free. Consistently outperforms the best open-source solver on real workloads.

ROSE CUOPT

GPU-accelerated routing, managed for you.

Run NVIDIA cuOpt on managed GPU infrastructure. Purpose-built for routing and logistics teams who want to benchmark and run large-scale VRP workloads without becoming GPU sysadmins.

Cloud Native

  • No GPU procurement. No CUDA, no Docker, no cloud infrastructure to configure.
  • Benchmark on your data. The only benchmark that matters is your own problem instances, not synthetic test sets.

  • Reproducible environment. Same configuration, same results, every time.

One service.

Two solvers.

Consumption based.

Rose Solver on CPU. Rose cuOpt on GPU. Both delivered as cloud-native services with REST API and Python SDK access, consumption-based pricing tied to the compute you actually use, and a pre-run complexity estimate so you never get blindsided by a bill.

CUSTOMER CASE STUDY

Turning waste into value: integrated supply chain planning for food byproducts.

A leading ingredients manufacturer transforms food waste into valuable nutrition. The supply of byproduct cheese changes constantly in both quality and quantity, with dozens of potential suppliers and multiple processing plants across the region. SimpleRose built an integrated planning system that coordinates pickups, manages storage, and allocates production while controlling transportation costs.

WHAT WE SOLVE

Planning problems. Solved.

 

Not sure whether your problem is a fit? That is exactly what a Rose Consultant session is designed to answer.

GET STARTED
Your planning problem has a cost.

Finding out doesn’t.

In 30 minutes, find out what the problem is costing you, whether optimization is the right fix, and exactly what it would take to build. Free to try.