Weighted vote fusion
Mahalanobis + spectral GLR + BOCPD + HSMM stubs — median-weighted tier vote on every frame.
Algorithm tier deliverable
NADIR Apex delivers the full perception intelligence stack — A1–A6 forecast ensemble, changepoint detection, CRLB ellipsoids, factor-graph evidence, and budget-optimized fleet intervention planning.
Premium forensic lane
Weighted ensemble across BOCPD, spectral GLR, and HSMM virtual detectors — plus mock CRLB ellipsoids, factor-graph evidence theater, and attribution boost on hard multi-modal scenarios.
Mahalanobis + spectral GLR + BOCPD + HSMM stubs — median-weighted tier vote on every frame.
Higher attribution hit rate vs Meridian when ensemble agrees on CRITICAL — insurer dispute ready.
Mock Fisher-information ellipse from extrinsic drift — 3D Fleet Twin preview in production Apex.
Forensic HTML appendix with chain-of-custody preview and geodesic replay stub.
Capability map
14-day stochastic band + survival + ellipsoids + knapsack.
SE(3) frames, CRLB glyphs, forecast overlay.
Factor-graph layout + geodesic replay scrubber.
Counterfactual recalibrate scenarios.
deck.gl regional risk + route identifiability.
Signed EVB bundles with full chain of custody.
Commercial
Indicative USD pricing · shadow-mode on every tier · binding terms in LOI or MSA.
Apex
$8.50
per vehicle / month
Min 100 vehicles · enterprise quote above 2,000
Enterprise quote →Model annual NADIR cost vs calibration-incident avoidance for buyer conversations.
Developer surface
Org-scoped Bearer API keys · RBAC scopes gate algorithm depth · OpenAPI v1 contract.
horizon:forecast
Full A1–A6 forecast plane
horizon:read
All six HORIZON modules
evidence:read
Unlimited signed bundle export
fleet:read
Full extrinsic history + replay
platform:*
Webhooks, admin, audit
Go-to-market
OEM ADAS program office
“Field monitoring adjacent to homologation with audit-grade evidence.”
Typical buyer on NADIR Apex.
Insurer fleet program lead
“Chain-of-custody bundles at claim close.”
Typical buyer on NADIR Apex.
Large fleet safety engineering
“Which vehicles go CRITICAL in 14 days — with budget optimizer.”
Typical buyer on NADIR Apex.
MSO enterprise QA
“Caliber/Safelite-scale post-repair forensic replay.”
Typical buyer on NADIR Apex.
Onboarding
12-vehicle sample org · all scopes for integration testing · make dev-api local stack.
Wire POST /v1/telemetry/ingest from telematics or batch replay · validate tier gates.
Console or webhook alerts · weekly digest · Exhibit A metrics for LOI conversion.
Per-vehicle billing at Apex rate · optional API add-ons per integration depth.
Compare
| Capability | Pulse | Meridian | Apex |
|---|---|---|---|
| Tier gates (NOMINAL/CAUTION/CRITICAL) | ✓ | ✓ | ✓ |
| Survival / time-to-CRITICAL | — | ✓ | ✓ full |
| HORIZON Command Deck | — | ✓ | ✓ |
| 3D Fleet Twin + CRLB | — | — | ✓ |
| Signed evidence exports | — | Limited | Unlimited |
| Typical latency | <200ms | 0.5–2s | 2–8s |
| Per-vehicle / mo | $3–5 | $3.75 | $8.50 |
SDK reference
Install: pip install -e "NADIR_SDK/python[dev]" · TypeScript client at NADIR_SDK/typescript
from nadir_sdk.perception.forecasting import fleet_forecast, twin_payload
forecast = fleet_forecast(org_id, vehicle_ids, horizon_days=14)
twin = twin_payload(vehicle_id) # SE(3) frames + CRLB ellipsoids
Telemetry contract
Same JSON schema across tiers — algorithm depth is selected by org plan and ?tier= routing.
{
"vehicle_id": "van-0142",
"timestamp": "2026-06-10T14:22:01Z",
"sensors": {
"camera_rotation_matrix": [1.0, 0.01, 0.0, -0.01, 1.0, 0.0, 0.0, 0.0, 1.0],
"radar_range_bias_m": 0.002,
"radar_azimuth_bias_deg": 0.15,
"lidar_registration_error_m": 0.001
},
"timestamp_quality": { "sync_ok": true, "jitter_ms": 4 }
}
9-element row-major rotation vs baseline. Primary signal for extrinsic drift.
Range systematic error in meters — converted to mm in residual vector.
Cross-modal registration residual for fusion disagreement detection.
sync_ok and jitter_ms — gates unreliable frames before scoring on Meridian+.
Resolved from API key context — strict org isolation on every fleet record.
Deployment patterns
2,000+ vehicle homologation-adjacent monitoring with 3D twin exports.
Signed evidence bundles attached to claims workflow at close.
Enterprise LOI — knapsack prioritizer under fixed weekly bay capacity.
Forensic replay for post-repair QA disputes with factor-graph theater.
Safety engineering team — 14-day CRITICAL exceedance probabilities.
Embed Apex forecast API behind OEM branded portal.
Operations
Terminology
Multi-sensor drift vector fused into one statistical distance — core signal on every tier.
6-DOF misalignment of camera/radar/lidar relative to vehicle frame.
Advisory analytics only — no ECU writes or in-loop vehicle control.
NOMINAL / CAUTION / CRITICAL classification from residual thresholds.
Signed evidence bundle metadata for insurer and auditor review.
Time-to-tier exceedance probabilities (Meridian+).
Fisher-information uncertainty glyph for 3D twin (Apex).
POST replay protection — cached response on duplicate ingest.
API key from Org A cannot read Org B fleet records.
LOI attachment with week-1 pilot metrics JSON.
Quick integration
curl -sS -X POST "https://api.nadirai.net/v1/telemetry/ingest?tier=apex" \ -H "Authorization: Bearer $NADIR_API_KEY" \ -H "Content-Type: application/json" \ -H "Idempotency-Key: ingest-van-0142-20260610" \ -d @telemetry_frame.json
{
"event": "tier.changed",
"vehicle_id": "van-0142",
"previous_tier": "NOMINAL",
"drift_tier": "CAUTION",
"mahalanobis_distance": 3.42,
"probable_fault_source": "camera_extrinsics",
"algorithm_tier": "apex",
"organization_id": "org-acme-regional"
}
Extended FAQ
FAQ
Tier benchmark · Phase 4
Multi-modal, delayed-onset corpus — ensemble vote fusion, attribution boost, and mock CRLB ellipsoids in the tier benchmark lab (not final pipeline_v3).
*Simulation benchmark — illustrative for OEM field programs and insurer evidence demos.
Min 100 vehicles · enterprise quote above 2,000 · same claim boundary on every tier · upgrade path without re-architecture.