kint vs.
custom development.
Building optimization in-house gives you full control. It also means hiring operations research specialists, running a solver stack and building the record and review process yourself.
dimension by dimension.
Properties you can check, not benchmark claims. The last column says which approach fits better on that dimension.
| Dimension | kint | in-house | Fits better |
|---|---|---|---|
| First model in production | Starts from an existing engine, agent and record. | Team, infrastructure and process have to be built first. | kint |
| Expertise needed | Planners describe the rules, IT connects the data, kint's forward deployed engineers bring the mathematics. | Operations research specialists and engineers on staff. | kint |
| Method coverage | LP, MIP, CP, QP and data-driven blackbox models on one engine. | Usually the methods the team already knows well. | kint |
| Record | Versioned data, models and releases built in. | Has to be designed and maintained alongside the models. | kint |
| Maintenance | Engine and solver updates handled by kint. | Your team maintains solvers, models and infrastructure. | kint |
| Control | Configured through the model, the API and the review process. | Control of the whole stack, down to the solver code. | in-house |
| Ownership | Data and models stay yours. kint owns the platform. | You own the code and the models. | in-house |
in-house: the better fit.
Optimization is your core product, you already have an operations research team, and you need control down to the solver code.
the decision has to be defended.
You want decisions with bound and gap in operation soon, without building and staffing a solver platform and an audit process first.
Teams with their own operations research group can run kint underneath through the API. They keep their own models and gain the record and review process.
kint next to the other approaches.
- kint vs. manual planningspreadsheets and planner experience
- kint vs. heuristic methodsrules of thumb, metaheuristics and custom search
- kint vs. general AI and MLLLMs and general machine learning
- kint vs. spreadsheet optimizationbuilt-in spreadsheet solvers and solver add-ins
in-house and kint, on your decision.
Bring a plan your team made today. We put the kint plan next to it, with the binding limit of each, and you judge.
- All comparisons
- kint next to the alternatives
- Results
- Plan, binding limit, sensitivity, bound and gap, record
- Problem types
- the decisions kint solves
- contact
- hello@kint.pro