Optimization projects don't fail on math
They fail on adoption. Explainability & trust is the layer that gets your operational planners and field teams from “I don't know what this is” to “I see why”.




What trust actually requires
Four things planning software has to deliver before anyone will rely on it for their day's work.
Correct & feasible
80% feasible is 100% useless. Hard rules - legal limits, skills, working time - never broken.
Explainable
A reason behind every assignment, every tradeoff, every exception. No black box.
Honest about failure
When no feasible plan exists, say so - and which constraint, resource, or input led there.
Adaptable
Planners can pin, override, and propose changes - and instantly see how the plan responds.
The toolkit
What the platform gives you to deliver on the four. The surfaces planners and developers actually use during a rollout.

Why the plan scored the way it did
A constraint-by-constraint breakdown of where the plan loses or earns score. Justifications exportable for stakeholder review.

Tune behavior, without redeploying
Constraint priorities, trade-offs between competing goals, hardware architecture, and termination strategy all live in named profiles. Switch profile per submission, override a single value for a one-off run, or A/B compare two profiles head-to-head.

Sensitive credentials, never exposed.
API keys, webhook tokens, map provider credentials - store them once, encrypted, and reference them everywhere they're needed. Values are write-only: once saved, they can never be retrieved again, only updated.

Sensitive credentials, never exposed.
Tenant data is separated at the database and application level — your customers' workloads never touch each other's. Issue API keys scoped to specific models and specific permissions, with expiry built in.
Text primary
Text secondary

IT and Ops on the same page
Implementation succeeds when developers and operational planners look at the same plan and speak the same language. The platform is built so they do.
Verify the integration is correct
Pull the plan, score breakdown, recommendations, and validation issues through the same APIs you already use. Wire the metrics into your BI tools so a regression in plan quality doesn't go unnoticed.
Verify the plan fits the operation
Open a dataset in the platform UI. Spot-check the visualization, read the constraint analysis, propose a manual change and watch the metrics react.
Teams solving real scheduling problems
Our customers about their Timefold experience.
Explore the rest of the platform
Hosting & orchestration
The runtime under the APIs. Auto-scaling, secrets, audit, and tenant isolation, already done.
Integrations
Plug into the stack you already have. Clean REST API, no rip-and-replace.
Intelligence
Turn planning data into strategic insight. Scenarios, comparisons, and trends across the operation.

When scheduling works, everything works.
Less waste. More control. Teams that trust the plan.


