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Deploy QuantumStream in 2–4 Weeks

Edge-first telemetry, predictive maintenance, and RCA—live in your environment

Get up and running in weeks, not months. QuantumStream deploys as a modular platform that integrates with your existing infrastructure while delivering immediate value through edge processing, automated diagnostics, and predictive intelligence.

TLS 1.3 / mTLS AES-256 SSO / RBAC GDPR Compliant
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What You're Getting

Complete platform capabilities from edge to cloud, delivered in weeks with measurable ROI.

Edge-First Data Capture

90–99% cost reduction through intelligent event-triggered telemetry. Process data at the edge, upload only what matters. From $2M/year to $20K-100K/year for 1,000-vehicle fleets.

How it works: Lightweight agents on NVIDIA DRIVE Orin or TCU monitor CAN/CAN-FD and DDS/SOME-IP locally. Rolling 5-15 minute context buffer captures relevant signals only when events trigger—thresholds, patterns, or anomalies.

Automated RCA & Prediction

First-pass RCA in ~60 seconds with 84% accuracy. Predict failures 30 minutes to 48 hours in advance with 88% accuracy. Reduce MTTR from 3.2 hours to 1.8 hours.

How it works: EventTrace builds causal graphs from signal correlations and domain knowledge. XGBoost and LSTM models score risk continuously. QS-iQ synthesizes findings into actionable insights with natural language explanations.

Enterprise Data Blend

VIN ↔ Supplier ↔ Line ↔ Batch traceability detects quality issues 6-8 weeks earlier. Link every incident back to manufacturing context, component batches, and supplier performance.

How it works: Ingest PLM/MES/SAP data via batch or streaming APIs. Join telemetry incidents with part numbers, lot codes, assembly lines, and supplier IDs. Surface correlations fleet-wide through cohort analysis.

Onboarding Timeline: 2–4 Weeks

Structured deployment phases with clear ownership and deliverables at each stage.

Week 0–1 Connectivity & Foundations QS Delivers: ✓ Edge agent config ✓ Backend setup (EKS) ✓ DBC mapping ✓ Security baseline Customer Provides: • Network/VPN access • DBCs & schemas • SSO/IdP hookup Week 2 Events & Reduction QS Delivers: ✓ Initial rules pack ✓ Anomaly models ✓ CapturePolicy v1 ✓ Rolling buffers Customer Provides: • Pilot VINs • Validation team • Feedback on rules Week 3 Knowledge & RCA QS Delivers: ✓ AI knowledge base ✓ EventTrace setup ✓ RCA templates ✓ Evidence packs Customer Provides: • Product docs • Known failure data • Domain expertise Week 4 Pilot & Handoff QS Delivers: ✓ KPI dashboard ✓ Runbooks ✓ DR plan tested ✓ Production ready Customer Provides: • On-call contacts • Go-live approval • PagerDuty wiring ✓ QS Deliverable • Customer Responsibility Timeline adjusts based on complexity and integration scope

Week 0–1: Connectivity & Foundations

Backend integration, edge device setup, data source connection, decoder tuning, security baseline, and environment provisioning.

Key Milestone: First heartbeat from edge to cloud with TLS/mTLS verified

Week 2: Events & Reduction

Initial rule configuration, anomaly model deployment, rolling buffer setup, and first CapturePolicy publishing for targeted data upload.

Key Milestone: 90%+ data reduction validated on pilot vehicles

Week 3: Knowledge & RCA

AI knowledge base ingestion, EventTrace template configuration, Evidence Pack outputs wired, and "View RCA" flow active.

Key Milestone: First automated RCA generated from real incident

Week 4: Pilot & Handoff

KPI baseline established, executive dashboard live, runbooks delivered, DR tested, on-call wired, production readiness confirmed.

Key Milestone: Production go-live with full monitoring and support

System Architecture

Edge-to-cloud data flow optimized for cost, latency, and diagnostic completeness.

Vehicle Edge CAN/CAN-FD DDS/SOME-IP Event Detection Rolling Buffer 5G/mTLS Ingestion Kafka / MSK S3 Raw Stream Processing Spark / Flink Data Stores Iceberg Lakehouse VictoriaMetrics PostgreSQL Elasticsearch Applications FleetOps Console Prediction Engine RCA Engine QS-iQ Edge Processing Data Pipeline Storage Analytics 99% data reduction at edge • Sub-second latency • Full diagnostic context

Deployment Models

Flexible deployment options to match your security, compliance, and operational requirements.

On-Vehicle + Cloud Hybrid

Edge agents on NVIDIA DRIVE Orin or TCU with event capture and targeted upload. Cloud-based analytics, storage, and web console.

  • ✓ 90–99% cost reduction
  • ✓ Offline operation capable
  • ✓ Real-time edge processing
  • ✓ Full diagnostic context
Best For: Production fleets requiring maximum cost efficiency and offline capability

Cloud-First Sandbox

No edge install required. Simulate edge behavior with sample or historical data to validate operations and ROI before full deployment.

  • ✓ Fastest time to value
  • ✓ No vehicle integration
  • ✓ Full platform evaluation
  • ✓ Historical data analysis
Best For: Initial evaluation, proof-of-concept, or post-processing historical data

Customer-Managed Cloud

Deploy QS in your own AWS/Azure account. Full control over data residency, security policies, and infrastructure configuration.

  • ✓ Data stays in your VPC
  • ✓ Customer-managed keys
  • ✓ Custom IAM policies
  • ✓ Compliance-ready
Best For: Enterprises with strict data residency, compliance, or security requirements

QS-Managed vs Customer-Managed

Responsibility QS-Managed Customer-Managed
Infrastructure Setup QS Shared
Platform Updates QS Shared
Security Patching QS Shared
Monitoring & Alerts QS Customer
Data Residency Control Limited Full Control
IAM & Access Control Standard Custom
On-Call Support QS 24/7 Shared

Integration Matrix

Comprehensive integration points across vehicle data, enterprise systems, and data science tools.

Category Interface Auth Owner Status
Vehicle Signals CAN/CAN-FD, DDS/SOME-IP mTLS QS Live
Diagnostic Logs Syslog, JSON Streams mTLS QS Live
OTA Platform Sibros OTA API (optional) API Key Partner Optional
Telematics AWS FleetWise (optional) IAM Role Partner Optional
PLM / MES REST API, SFTP Batch OAuth 2.0 Customer Live
ERP (SAP) OData API, BAPI OAuth 2.0 Customer Live
Quality Systems REST API, CSV Export Service Account Customer Live
Data Lake Export S3 / Iceberg / Parquet IAM Role QS Live
Query Engine Trino / Presto SQL JDBC + OAuth QS Live
Time Series VictoriaMetrics / Prometheus Bearer Token QS Live
BI / Analytics Databricks, Snowflake, Palantir OAuth / IAM Customer Optional
Event Streaming Kafka / MSK / SQS SASL / IAM QS Live
QS Owned
Customer Owned
Partner Integration

Security & Compliance

Enterprise-grade security with maximum privacy without obstructing engineers.

Transport Security

Storage Encryption

Access Control

Compliance Standards

Environments & Operations

Production-ready infrastructure with battle-tested DevOps practices.

Infrastructure Stack

Orchestration
AWS EKS (Kubernetes)
Blue-green & canary deployments
Auto-scaling (HPA & CA)
Data Layer
S3 + Iceberg Lakehouse
VictoriaMetrics (time series)
PostgreSQL, Elasticsearch
Streaming
Kafka / MSK
Spark & Flink processing
SQS for async jobs
CI/CD
GitHub Actions → ECR → EKS
Automated testing & linting
Rollback ≤5 minutes

Disaster Recovery

  • RTO: 4 hours (Recovery Time Objective)
  • RPO: 1 hour (Recovery Point Objective)
  • ✓ Multi-region backups (primary + DR region)
  • ✓ Quarterly DR drills with runbook validation
  • ✓ Automated failover for critical services

Monitoring & Observability

  • ✓ Liveness, readiness, startup probes on all services
  • ✓ VictoriaMetrics + Grafana dashboards
  • ✓ Structured logging with timestamps, worker IDs, traces
  • ✓ PagerDuty integration for on-call escalation
  • ✓ 24/7 QS SRE support (managed deployments)

Deliverables & Responsibilities

Clear ownership model for successful deployment and operation.

QS Delivers Customer Provides
Edge Agent Install Profile
OCI container images, config templates, deployment scripts for Orin/TCU
Network & VPN Access
Secure connectivity from vehicles to cloud endpoints, firewall rules, VPN setup
Decoder Mapping & Normalization
DBC parsing, signal name standardization, unit conversions
DBCs & Schema Access
CAN database files, signal documentation, data dictionaries
Rule Pack v1
Initial threshold rules, logic detectors, anomaly baselines for event triggering
Service Accounts & IAM
Cloud credentials, role permissions, API access tokens
Anomaly Models & CapturePolicies
ML-based outlier detection, context window config, targeted upload policies
SSO / IdP Integration
Okta/Azure AD tenant access, OIDC/SAML configuration
RCA Templates & Knowledge Base
EventTrace config, causal graph templates, AI ingestion of product docs
Security Review & Approval
InfoSec sign-off, penetration test coordination, compliance audit support
KPI Dashboard & Runbooks
Executive visibility, operational playbooks, incident response procedures
Pilot VINs & Validation
Test vehicle fleet, engineering validation team, feedback cycles
SSO/RBAC Configuration
Role definitions, permissions setup, audit logging enabled
Enterprise Data Joins
Supplier/lot/line metadata, PLM/MES/SAP access for VIN traceability
DR Plan & Testing
Disaster recovery runbook, quarterly drill execution, backup verification
On-Call Contacts
Escalation paths, PagerDuty wiring, 24/7 engineering contact list

SLAs & SLOs

Performance guarantees and business KPIs to measure platform impact.

Performance SLAs

~60s
Online RCA

First-pass root cause analysis from incident detection to causal graph generation

Minutes
Prediction Refresh

Risk scores updated continuously as new telemetry arrives from fleet

≤5min
Rollback Time

Automated rollback to previous stable version via blue-green deployment

Live
Incident Triage

Real-time alerting and incident management as events trigger from fleet

Business KPIs

MTTR Reduction
From 3.2 hours to 1.8 hours average incident resolution time (44% improvement)
Prevention Count
80+ failures prevented per month for 1,000-vehicle fleet
RCA Precision@1
84% accuracy on first-pass root cause identification
Cost per GB
90–99% reduction in telemetry and cloud infrastructure costs

Data Contracts

Well-defined JSON schemas for seamless integration. Click to expand and copy.

DiagnosticFact

Core telemetry event payload from edge to cloud

Incident

Fleet incident with context, severity, and triage status

PredictionOutput

ML model risk score and failure prediction horizon

RCA Trace

Causal event chain from root cause to observed symptom

CapturePolicy

Edge rule configuration for event-triggered data upload

Frequently Asked Questions

Common questions about deployment, requirements, and integration.

Do we need edge install to start using QS?

Which clouds are supported?

What about compliance and data residency?

Can we integrate with our existing tools (Databricks, Snowflake, Palantir)?

What if we don't have CAN databases (DBCs)?

How does QS handle model updates and rule changes?

Ready to Deploy QuantumStream?

Schedule a technical walkthrough to discuss your deployment requirements, timeline, and integration points. We'll customize an onboarding plan for your fleet.

Email
info@quantumstream.io
Location
Palo Alto, California
Schedule Technical Discussion