Platform
API-first delivery
Integrate optimization into the systems teams already use for field operations, dispatching, or planning.
Technology
Model planning constraints, run hybrid optimization, and return clear results.
Qtangl accepts structured scheduling, routing, and allocation problems, prepares the optimization model, evaluates feasible plans, and returns ranked results that teams can act on.
Client app
Qtangl API
Solver workflow
Ranked output
→
01
Capture the real-world constraints
Jobs, resources, windows, dependencies, and objectives are represented as structured inputs rather than scattered business rules.
02
Run the solver workflow
Qtangl prepares the optimization model, evaluates feasible candidates, and selects the execution path best suited to the problem.
03
Return a plan teams can use
The result is a ranked schedule, route, or allocation plan with metadata that can be reviewed, compared, and reused in downstream systems.
Platform
Constraint-aware outputs
Priorities, deadlines, dependencies, and capacity limits remain part of the optimization problem.
Platform
Operational clarity
Outputs are returned as practical schedules and plans rather than research artifacts.
Execution preview
How the product should feel in use.
Qtangl is designed to translate a difficult planning problem into a ranked output that engineering, operations, and product teams can all read quickly.
Feasible plans evaluated
18,240
Best score delta
-12.4%
Solver turnaround
3.2s
Ranked output sample
Crew A -> foundation | start 07:00 | feasible
Crew B -> framing | start 07:30 | ranked #1
Vehicle 03 -> Route West | window matched
Inspector -> Site B | dependency cleared
Solver workflow
Hybrid execution stays readable from input model to final output.
01
Define the problem
Send jobs, locations, resources, and business constraints as structured JSON.
02
Run hybrid optimization
Qtangl prepares the model, runs the solver stack, and evaluates feasible plans.
03
Return an action-ready plan
Receive ranked schedules, routes, or allocations with method and cost metadata.
Construction
Construction scheduling optimization
Coordinate crews, equipment, and site dependencies without rebuilding the plan manually every time conditions change.
Outcome: Qtangl returns a feasible schedule that respects precedence, crew availability, and time windows.
Logistics
Logistics routing optimization
Balance delivery windows, fleet capacity, and route efficiency with a single routing workflow.
Outcome: Qtangl returns optimized route plans with stop order, assignment, and estimated cost.
Operations
Workforce allocation optimization
Match the right people and resources to the right jobs while respecting availability and skill constraints.
Outcome: Qtangl ranks staffing plans that fit required skills, coverage targets, and utilization limits.