Eligible GPS observations.
Confidence intelligence for real navigation stacks.
Driftistan is developing a proprietary signal that estimates short-horizon GPS projection uncertainty from real field observations. The public evidence proves measured behavior; the model, weights, code, routes and raw training data remain protected.
Evidence a technical team can inspect.
This is a versioned R&D snapshot, not a fabricated fleet counter. Every metric is regenerated from the consented complete capture groups accepted into the model release.
Aggregate movement represented.
Combined eligible intervals.
Typical GPS observation interval.
Provider-reported median.
Provider accuracy distribution boundary.
Coordinates, route geometry, capture identifiers, device fingerprints, feature vectors and model internals are excluded.
Where a confidence signal can help.
These are evaluation targets, not claims of current production integration or safety certification.
Confidence-aware map matching
Give a navigation stack an additional uncertainty signal before choosing how strongly to trust a projected position near parallel roads, junctions or degraded fixes.
Graceful GPS degradation
Help identify when a short projection may be less reliable so the product can reduce visual certainty, request corroborating sensors or preserve the last trusted state.
Navigation QA telemetry
Compare predicted uncertainty with later observations during controlled engineering drives, without publishing routes or proprietary vehicle data.
Regional and device validation
Measure performance across approved devices, antennas, chipsets and operating environments before considering a bounded production deployment.
Designed for protected technical diligence.
A manufacturer or navigation supplier can begin with the public aggregate evidence, define its operating design domain and acceptance criteria, then run a private evaluation under contractual IP and data controls. Deployment architecture, latency, hardware targets and commercial terms require a scoped engineering agreement.
- 01
Define the environment
Vehicle platform, sensor availability, update cadence, regions and safety boundary.
- 02
Run private validation
Use consented or manufacturer-approved evidence with agreed evaluation metrics.
- 03
Gate any integration
Require broader independent validation, security review and applicable automotive assurance before production authority.
Start with the evidence, limitations and privacy boundary.
Review the public Model Lab and evidence manifest. Driftistan will publish a verified business enquiry channel before accepting external evaluation requests; no unsupported procurement promise is made on this page.