Cognigear
Autonomy Operations

Autonomy Metrics, Evaluation & Fleet Monitoring Platform

Define metrics, logs, dashboards, and alerts for autonomy performance and safety across fleets and sites.

Timeline
7 Weeks to Value
Typical Engagement
$75k–$200k
Focus Areas
All autonomous vehicles

Autonomy Metrics, Evaluation & Fleet Monitoring Platform

If you can't measure it, you can't improve it. Turn terabytes of vehicle logs into a clear "health score" for your fleet.

  • Define the "Golden Metrics" that matter for safety and ROI
  • Build real-time dashboards for live fleet supervision
  • Architecture the data pipeline to ingest, index, and analyze vehicle logs at scale

Who this is for

Data Engineers, Fleet Managers, and Autonomy Leads at:

  • Operators needing independent verification of vendor performance
  • OEMs building their customer-facing fleet portal
  • Autonomy developers needing a "black box" analyzer

Operational context

This engagement focuses on:

  • Metrics – Defining what constitutes a "disengagement" and how to categorize it (Safety Critical, Operational, False Positive)
  • Stack – ELK Stack (Elasticsearch, Logstash, Kibana), Prometheus/Grafana, TimescaleDB, Cloud Storage (S3/Azure Blob)
  • Bandwidth – edge-buffering strategies for sites with poor connectivity

Trigger phrases you might be saying

  • “The vendor says the uptime is 99%, but the trucks stop every hour.”
  • “We have mountain of logs but no insights; it takes days to find an incident.”
  • “How do we know if the new software version is actually better?”
  • “We need to prove to the regulator that we are hitting safety targets.”

Business outcomes

  • Single source of truth for autonomy performance
  • Reduced reaction time to fleet-wide issues via automated alerting
  • Data-driven roadmap prioritizing fixes based on frequency/severity of failures
  • Contractual clarity for availability guarantees (SLA verification)

What we deliver

  • Autonomy Metrics Definition Document (KPI Dictionary)
  • Log ingestion pipeline architecture design
  • Monitoring Dashboard implementation (Live Ops + Historic Trends)
  • Automated Daily/Weekly Performance Report generation
  • Alerting logic configuration (Slack/PagerDuty/Email)

How it works

  1. Define – Workshop to agree on the mathematical definition of KPIs (e.g., MTBI)
  2. Architect – Design the data flow from vehicle to cloud
  3. Build – Implementing the dashboards and ingestion scripts

Timeline & effort

  • Duration: 6-8 weeks
  • Client time: Defining business KPIs, IT security review for cloud access
  • Data: Sample vehicle logs (Rosbags, JSON logs), CAN data

Pricing bands

Fixed-fee: $75k–$200k, depending on:

  • Number of different vehicle types and log formats
  • Scale of data (GBs vs. PBs per day)
  • Custom dashboard complexity

Tech stack & integrations

  • Databases: InfluxDB, PostgreSQL, ClickHouse
  • Visualization: Grafana, Tableau, PowerBI, Custom React Apps
  • Ingestion: fluentd, Kafka, MQTT
  • Infrastructure: AWS (IoT Core, Kinesis), Azure (IoT Hub), GCP

Risks & safeguards

We explicitly design for:

  • Data privacy – masking PII or sensitive site map data
  • Cost control – retention policies to prevent cloud storage bills from exploding
  • Connectivity gaps – store-and-forward logic for when vehicles go offline
  • Vendor lock-in – schema-agnostic designs that can ingest logs from multiple autonomy providers

Site examples

  • Mixed Fleet Operator (Global) – Built a unified "Autonomy Health Dashboard" that normalized data from 3 different vendors (Cat, Komatsu, and a startup), allowing head-to-head performance comparison.
  • Robot Taxi Pilot (Asia) – Implemented an automated "Disengagement Classifier" that used NLP to parse safety driver notes and correlate them with log data, saving 20 engineer-hours per week.

Frequently asked questions

Do we need to upload all the data? No. We usually recommend uploading "metadata and events" (KB/s) in real-time, and offloading heavy raw sensor logs (GB/s) only when WiFi is available or physically via disk.

Can this detect collisions? Yes, by monitoring IMU spikes and emergency stop triggers, we can configure "Severity 1" alerts that wake up the safety team immediately.

Does this replace our FMS? No, this sits alongside your Fleet Management System (FMS). FMS cares about "loads moved"; this platform cares about "why the robot stopped".

Target KPIs

  • ↑Mean Time Between Interventions (MTBI)
  • ↑Disengagement classification (Safety vs. Operational)
  • ↑Distance-based failure rate
  • ↑Fleet uptime %
  • ↑Data ingestion latency

Deployed Environments

Control centersCloud dashboardsSite offices

Ready to start?

Book a 15-minute technical scoping call to discuss your fleet requirements.

Book Scoping Call

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