Reliability, Availability, Serviceability (RAS)
Detect, predict and prevent faults during system operation, before they impact users.
Detect, predict and prevent faults during system operation, before they impact users.
Monitor the health, stress and aging of advanced chips in mission-mode and ensure uptime, serviceability and long-term resilience. Our solutions are embedded in production systems across high-performance industries, delivering real-world results in advanced nodes down to 2nm.
From individual device insights to full fleet visibility, we help you prevent failures and eliminate unexpected downtime.
Real-Time Health Monitoring tracks chip health under real workloads and environmental conditions to detect issues before they risk system reliability.
RTHM monitors the timing margins of each device during mission mode, enabling early detection of latent defects, aging effects, wear-out mechanisms, and emerging faults.
With always-on data collection, RTHM detects degradations that precede failures - preventing downtime and supporting predictive maintenance strategies.


Current methods identify failures after they have escalated into critical errors.
By leveraging in-chip health monitoring and real-time algorithms, RTHM monitors the precursors of failure and allows their mitigation with fast, accurate predictions.
Continuously track the margin to timing failure of logic paths in each device.
Grades the issue severity and proximity to failure
Monitors how close the device is to timing failures
Alerts on imminent failures to move to safe-state
Triggers real-time operational systems alerts to avoid failures
Continuous Performance Monitoring tracks chip and system behavior, helping to detect degradation, optimize maintenance, and ensure service continuity.
Combining on-chip telemetry with ML-driven algorithms running in the system, CPM enables monitoring at the hardware level, transforming maintenance with embedded software.
Detects operational effects and application-induced degradation with high coverage and logs historical performance data to enable predictive maintenance and trend analysis.
Mission Profile Monitoring replaces guesswork with real-time, cumulative stress monitoring, capturing actual voltage and temperature exposure to predict remaining useful life with confidence.
Bridging the gap between initial predictions and real-world usage conditions.
MPM calculates the operational lifetime budget consumption relative to the initial simulated mission profile, continuously adapting to dynamic environments.

MPM enables proactive steps, like voltage tuning or workload adjustment, to extend usable life and prevent failure.
In this white paper, we introduce proteanTecs' Real-Time Health Monitoring (RTHM) application, a proactive solution designed to predict and prevent failures before they occur.
This webinar discusses what is needed to design, manufacture and deploy advanced SoCs for AI applications today (and tomorrow).
Two-stage detection approach, offering SDC prevention solutions for different stages of a chip's lifespan: ML-powered Outlier Detection for semiconductor defect detection and Real-Time Health Monitoring for in-field predictive and prescriptive maintenance.
This white paper features proteanTecs dedicated suite of embedded solutions purpose-built for AI workloads, offering applications engineered to dynamically reduce power, prevent failures and optimize throughput.
Discover how proteanTecs' comprehensive hardware monitoring infrastructure enhances SoC performance, reliability, and power efficiency from production to in-field operation.
Eddie Ramirez • VP of Go-to-Market, Infrastructure Line of Business, Arm
Mohit Gupta • SVP and GM, Custom Silicon and IP, Alphawave
June Paik • CEO, FuriosaAI
Dr. Charlie Su • CTO and President, Andes Technology
Ran Schrift • Director of Operations, Xsight Labs
Get answers to common questions about how proteanTecs enables real-time reliability, availability, and serviceability, at the chip, system, and fleet level.
RAS stands for Reliability, Availability, and Serviceability, three critical pillars for system performance and uptime. proteanTecs enables RAS by providing deep observability into chip and system health, helping prevent faults, reduce downtime, and accelerate root cause analysis.
Our in-chip Agents and edge-deployed algorithms monitor device health in real time, detecting performance degradation, latent defects, aging, and application stress. These serve as predictive signs to failure, and allows teams to take action before issues impact system functionality.
Traditional tools rely on proxy sensors or test mode diagnostics. proteanTecs embeds telemetry directly into the chip, enabling mission-mode monitoring with high resolution and coverage, going straight to the source, to enable failure prevention, lifetime extension, predictive maintenance, and pinpoint root cause analysis.
proteanTecs supports customers in high-reliability and mission-critical industries, including AI, data center, automotive, aerospace, networking, and telecom, anywhere uptime, safety, and long lifetimes are essential.