Build the intelligence behind
every journey.
Evaluate, monitor, and govern AI across automotive and transportation operations, with performance, safety, and compliance continuously measured.
See it in action
70%
of transportation and logistics companies have adopted AI
Source: Penske Transportation Leaders Survey, 2025
95%
of automakers are making significant investments in AI
Source: Gartner research reported by Reuters, 2025
23%
of automotive software professionals report repeated exposure to code vulnerabilities
Source: Perforce State of Automotive Software Development, 2026
AI is making operational decisions faster than teams can verify them.
AI now influences routing, maintenance, production quality, inventory, warranty decisions, and customer operations.
But performance can change as data, models, suppliers, and operating conditions evolve. Most companies lack one consistent way to test these systems, monitor them in production, and trace every outcome to the model and version behind it.
Operational performance changes over time.
Forecasting, routing, maintenance, and quality models can lose accuracy as demand, assets, suppliers, and production conditions change.
AI is fragmented across teams and suppliers.
Internal models, embedded vendor AI, and third-party tools operate without one inventory, evaluation standard, or approval process.
Failures are difficult to trace and correct.
When AI contributes to a delay, defect, unnecessary repair, or customer issue, teams struggle to identify the model, version, data, and decision behind it.
Transportation companies are putting AI at the center of operations.
AI is routing fleets, forecasting demand, scheduling maintenance, and managing critical workflows. When it fails, errors can spread across an entire operation.
ISO 26262, UNECE and NHTSA expectations, NIST AI RMF, and the EU AI Act are raising the standard for documented, ongoing evidence of AI behavior. EU AI Act penalties can reach 7% of global revenue.
EU AI Act
ISO/IEC 42001
NIST AI RMF
ISO 26262
Continuous assurance for the AI
running your operations
Openlayer connects evaluation, production monitoring, governance, and evidence across every model and version. Catch regressions before release, detect changing performance in production, and prove each system remains accurate, reliable, and within policy.
Fleet and route optimization
Evaluate routing, dispatch, load planning, and fuel optimization across fleets, regions, and changing demand.
Predictive maintenance
Test failure predictions and maintenance recommendations against real asset performance and service outcomes.
Manufacturing and quality
Monitor computer vision, robotics, and production AI for detection accuracy, defects, failures, and performance drift.
Supply chain forecasting
Track demand, inventory, sourcing, and planning models as suppliers, markets, and production requirements change.
Customer operations
Test diagnostics, service assistants, warranty tools, and customer communications for accuracy, privacy, and successful resolution.
Supplier and third-party AI
Track every internal and vendor model with its owner, approved use, risk, evaluations, version, and production evidence.
Named in the 2026 Gartner Market Guide for AI Evaluation and Observability Platforms.
Backed by Y Combinator and Race Capital. SOC 2 Type II and GDPR compliant.
Vendor registry and third-party AI tracking for complex supply chains.
Air-gapped and private-VPC deployment for sensitive financial data.
Keep every operation moving forward.
Keep performance, reliability, and compliance measurable across every fleet, facility, workflow, and AI system.