Transform overwhelming telemetry into predictive intelligence.
Prevent failures before they happen.
Real impact across automotive, data centers, and critical infrastructure
Monetize fleet intelligence through premium services. Create new revenue streams from predictive insights, performance analytics, and proactive maintenance offerings.
Reliability becomes a competitive advantage. Differentiate with predictive capabilities and self-diagnosing technology.
Real-world data insights accelerate product development. Make data-driven decisions based on actual field performance.
Proactive service drives loyalty. Address issues before customers experience them, improving satisfaction and retention.
Transform untapped operational data into business value. Prevent failures, accelerate diagnostics, and drive operational efficiency across connected device operations—from automotive to data centers to defense systems.
Learn about failures from customer complaints, not data
Hours hunting through logs while issues spread
Supplier defects take 6-8 weeks to identify
Infrastructure costs scale linearly with fleet growth
You don't need all the data. You need the right 1-5%.
When failures happen, they require the event window — the specific minutes before, during, and after something goes wrong. Capture that, and you reduce volume by 90-99% while keeping 100% of the intelligence.
Monitor your entire fleet in real time. The dashboard shows you fleet health, active incidents, at-risk vehicles, and key metrics in under 3 seconds. No clicking through multiple screens to understand what's happening.
Learn MoreAutonomous AI that continuously investigates, analyzes, and detects issues across your entire fleet. With access to all telemetry data, logs, and historical patterns, it recommends solutions and identifies root causes before they escalate. Ask questions in plain English or let it proactively surface insights you didn't know to look for.
Learn MoreOur edge software runs on each device and monitors critical signals locally. It only sends data to the cloud when something interesting happens. This cuts telemetry costs by 90-99% while reducing latency from minutes to seconds.
Learn MoreMachine learning models score risk for each device continuously with 88% accuracy. They predict failures 30 minutes to 48 hours before they happen. Unexpected breakdowns become scheduled maintenance. This approach cuts warranty costs by 33%.
Learn MoreWhen something fails, the system automatically generates a causal graph showing what led to the failure. It gets the root cause right 84% of the time on the first guess. This cuts mean time to resolution from 3.2 hours to 1.8 hours.
Learn MoreEach device links back to its supplier components, manufacturing batch, production date, and assembly location. When incidents correlate to a specific batch or supplier, you know 6-8 weeks earlier than usual.
Learn MoreCentralized command center for fleet operations. Automate workflows, schedule OTA updates, manage service appointments, and execute targeted remediation at scale. Turn insights into action with approval workflows, automation rules, and human-in-the-loop oversight.
Learn MoreReference numbers for easy ROI comprehension - proven at millions of devices with minimal cost scaling
Process and analyze billions of telemetry records per day with sub-second query performance
Edge processing keeps cloud costs linear while data volume grows exponentially
Battle-tested infrastructure from real-world deployments, ready for enterprise scale
Proven in automotive, designed for any connected fleet operation
Where we started and proved the platform. We've demonstrated 90-99% cost reduction and 80%+ failure prevention across thousands of vehicles. Automotive taught us how to handle high-volume telemetry, edge processing, and predictive maintenance at scale.
Monitor thousands of servers and predict hardware failures before they cause outages. Process telemetry at the edge to reduce cloud costs while catching problems early.
Mission-critical systems monitoring for defense applications and essential infrastructure. Enhanced reliability, operational readiness, and predictive maintenance for systems where failure is not an option.
Track production equipment, assembly line robots, and automation systems. Predict failures before they stop production. Link incidents back to component batches and suppliers.
Manage HVAC systems, security devices, and appliances across thousands of homes. Predict when a thermostat or sensor will fail. Schedule maintenance before customers notice problems.
Medical wearables and health monitoring device fleets. Real-time anomaly detection, device performance tracking, and predictive alerts for patient safety. Ensure reliability of critical health monitoring equipment with continuous intelligence and failure prevention.
Supported by leading technology innovation programs