Science & optimisation
Route and schedule optimisation
Solve hard planning problems with quantum-accelerated help.
- Quantum
- Store
- Workflows
- Streams
The scenario
A planning agent formulates a scheduling problem and hands the hard part to a solver.
How it works
- 1The problem is encoded and submitted.
- 2The solver runs in the background.
- 3The result lands in storage and starts the next step.
An illustrative scenario, not a customer story.
Interactive simulation
Simulate this case study
Watch the partition come up, each step run, and usage build as it goes. Simulated: volumes, timings and prices are illustrative.
Partition
—
Status
not created
Elapsed
00:00
- Provisioning
- Processing
- Complete
01The problem is encoded and submitted.
queued- Ahura Quantumqc.devicesqueued
status: queued · 0 / 4,000 shots run
- Ahura Storestore.getqueued
status: queued · 0 / 48 objects stored
02The solver runs in the background.
queued- Ahura Workflowsworkflow.definequeued
status: queued · 0 / 36 steps completed
03The result lands in storage and starts the next step.
queued- Ahura Streamsstreams.tailqueued
status: queued · 0 / 300 events routed
Services in this partition
Quantum
0 calls · 0.00 ACU
Store
0 calls · 0.00 ACU
Workflows
0 calls · 0.00 ACU
Streams
0 calls · 0.00 ACU
Spend by service
Event log
- Waiting to start.
Why Ahura OS
Why this is better on Ahura OS
Planning problems get hard fast, and the choices are heuristics that were tuned years ago or an expensive specialist solver. Ahura OS lets a planning agent encode the problem and hand the hard part to Ahura Quantum as a tool call, billed per run. Jobs run in the background and finish with an event that starts the next step. Inputs and results stay in your partition and can be destroyed when planning ends.
What each capability replaces
- Ahura QuantumInstead of provider accounts, toolchains and queues, a circuit or problem is a tool call with results stored for you.
- Ahura StoreInstead of managing buckets, permissions and lifecycle rules, objects follow the partition: they freeze, thaw and expire with it.
- Ahura WorkflowsInstead of writing retry, timeout and approval plumbing, you declare the steps and the platform guarantees the behaviour and the history.
- Ahura StreamsInstead of a message broker to run, agents, workflows and your own systems react to events through managed routing.
And on every use case
One endpoint, not a stack
Memory, storage, compute, inference, identity and messaging share one connection, one identity and one bill. The integration work you would normally own disappears.
Isolation by construction
Every agent’s world is a partition. Separation is how the platform is built, not a convention teams must remember to follow.
Cost follows use
Pay per call and per millisecond. Idle agents freeze to archive pricing. There is no capacity to reserve and nothing running unseen.
Retention and deletion built in
Lifetimes, expiry, freezing and destruction are platform features, so your data policy is enforced rather than aspirational.
Safe autonomy
Spending limits, protected signing keys, approval steps and signed actions let agents work unattended without being unaccountable.
Ready for audit
Designed against SOC 2 and ISO 27001 controls, with every call metered, recorded and attributable.
Compared
The old way of doing things
Heuristics tuned over years, or a specialist team and an expensive solver licence.
Data retention is built in
Everything this scenario stores lives in one isolated partition with a lifetime you set. Expired data deletes itself, a paused project freezes to low-cost archive, and a finished one can be destroyed completely. Security and compliance