Product · Beta · quantum-optimized routing

RouteIQ.

Fleet routing optimization that reduces cost against the solver you run today — proven on your own data before you change a single system. Hybrid quantum-classical under the hood; ordinary CSV in, better routes out.

Outcomes

What you get — stated honestly.

6%+

Routing cost reduction

Against your current solver on historical data. Labeled preliminary until independently revalidated; methodology shared under NDA.

Preliminary

Drop-in

Benchmarked first

We measure against your current method before you change anything. No rip-and-replace to find out if it helps.

Intact

Your constraints

Time windows, capacities, skills, and service levels you already operate under — respected, not simplified away.

How it works

Four steps from data to decision.

STEP 01

Share your history

Historical routes, the constraints you operate under, and your current routing costs — as CSV or via API.

STEP 02

We benchmark

RouteIQ runs the same problems your current solver did, and we compare cost, distance, and time on identical inputs.

STEP 03

You see the delta

A clear read on the difference, with the methodology documented — not a marketing number, a reproducible one.

STEP 04

Integrate if it holds

Only if the benchmark is convincing do we connect RouteIQ to your TMS and fleet systems for live routing.

How we handle your data

Your data stays yours
Deleted after the benchmark
Never used to train shared models
NDA / DPA on request

Constraints

The real-world constraints it handles.

Time windowsVehicle capacitiesDriver skills Multi-depotPickup & deliveryMax route duration Service-level agreementsDistance & traffic matricesHeterogeneous fleets

Integrations

Fits the stack you already run.

Benchmarks need nothing more than a data export. Production routing connects through your existing systems.

TMS platformsFleet telematicsERP / order systemsCSV import/exportREST API

Proof of value

A paid, scoped, time-bound pilot.

6%+Routing cost reduction observed — preliminary, vs current solver

30minDiscovery call to scope a pilot on your data

NDABenchmark methodology shared in full under NDA

We hold every published number to the same standard: independently reproduced and methodologically documented before it loses the "preliminary" label. If we can't defend it, we don't print it.

FAQ

Straight answers.

Is this actually quantum?

Yes — RouteIQ runs on hybrid quantum-classical and quantum-inspired optimization, with a direct path onto quantum hardware as it matures. Today most workloads execute on classical accelerators; we route each job to whichever solver measurably wins, and we're transparent about which one that is.

What's the maturity?

Beta. It runs real benchmarks against real fleet data, but it is not a general-availability product yet. We label it beta because it is beta.

Do I have to replace my TMS?

No. The benchmark needs only a data export. Integration with your TMS happens later, and only if the numbers justify it.

How is the 6%+ figure measured?

Against your current solver, on your historical routes, with identical constraints. It is preliminary and stays labeled that way until independently revalidated. The full methodology is shared under NDA.

What data do you need to start?

Historical routes, the operating constraints, and current routing costs. Anonymized or sampled data is fine for a first benchmark.

See RouteIQ run against your routing data.

Thirty minutes to scope a pilot, a clear benchmark on your own data, and an honest read on whether it's worth going further.