AI‑Powered Tools for
Safer, Faster Automated Mobility
Tempero develops advanced simulation‑driven solutions that help OEMs, simulation vendors, and insurers design, test, and evaluate automated driving systems. From intelligent scenario testing that uncovers hidden edge cases to context‑aware risk scoring that measures the real‑world benefits of automation, our technology turns complexity into actionable safety and performance insights.
Our Solutions
OSCFuzzer – Intelligent Scenario Testing
OSCFuzzer transforms scenario testing for automated driving. Engineers simply describe high‑level test goals in natural language — safety, comfort, performance — and our integrated generative AI converts them into precise Signal Temporal Logic (STL) formulas, removing the complexity of formal coding. Powered by intelligent fuzzing, optimization algorithms, and machine learning, OSCFuzzer autonomously explores the vast scenario space to pinpoint critical edge cases and hidden vulnerabilities.
The result: faster, deeper insight into system behavior, enhanced robustness, and accelerated development cycles. Fully compatible with ASAM OpenSCENARIO, OSCFuzzer turns the scenario explosion into a strategic advantage.
OSCFuzzer “Plug & Fuzz” Architecture
Declarative Testing
Focus on what matters (test properties) — not on coding exhaustive test scripts. Let OSCFuzzer translate natural-language requirements into formal STL automatically.
Targeted Exploration
Intelligently explores the most promising areas of the scenario space, avoiding millions of irrelevant variations using hybrid optimization + ML.
Native Compatibility
Seamless plug-in into your existing simulation and testing pipelines via ASAM OpenSCENARIO 1.x compatibility.
Actionable Insights
Produces decision trees, heatmaps, and causal clustering visualizations to help interpret vulnerabilities quickly.
CARE – Contextual Automation Risk Engine
Tempero’s Pay‑As‑Your‑System‑Drives platform gives insurers precise, dynamic underwriting factors based on the real‑world performance of connected and automated vehicles. Powered by our Contextual Automation Risk Engine (CARE) — built on Tempero’s OSCFuzzer technology — it moves beyond static, historical models by simulating rich combinations of driver behavior, driving conditions, automation features, and V2X connectivity to produce personalized, explainable risk scores.
Fairer Pricing
Premiums aligned with the actual safety performance of each policyholder’s vehicle and driving context.
Smarter Risk Selection
Deeper insight into automation and driver factors to optimize underwriting.
Regulatory Alignment
Scenario libraries mapped to upcoming automated vehicle safety certification frameworks.
Case Studies
Efficiency in ADAS/AD Verification: Navigating UN Regulation No. 157
Tempero’s AI-driven verification suite addresses the “needle in the haystack” challenge of scenario testing, enabling OEMs to cut over 90% of costly simulations without missing critical edge cases. In this study, we focused on the most complex scenario defined in UN Regulation No. 157 (ALKS).
By applying the Tempero fuzzing suite, we identified the only 2 critical safety cases (just 0.005% of the valid configuration space) using a fraction of the traditional computational resources.
in compute & licensing costs
vs 40,000+ traditional runs
1 Million+
Scenarios generated to explore the complete ALKS configuration space.
40,000+
Valid simulation scenarios identified within the regulatory constraints.
0.005%
Proportion of scenarios representing critical safety-relevant edge cases.
Fine-Grained Risk Assessment of AEB in Urban Settings
Using OSCFuzzer, Tempero conducted a detailed assessment of Automated Emergency Braking (AEB) in two urban settings with varying traffic densities (td1 and td2). We used around 12,000 optimization-driven virtual simulations to evaluate AEB’s effectiveness.
Setting td1
AEB significantly reduced the number of collisions.
Setting td2
AEB had minimal impact, indicating limited utility with this traffic density.
Implications
These results demonstrate Tempero’s ability to provide fine-grained risk assessments tailored to specific contexts. Unlike global statistics (e.g., IIHS studies based on past claims), our approach accounts for nuanced real-world contexts—crucial for new mobility involving V2I or V2V support. This precision enables accurate assessment of the value of automation (ADAS/AV) for insurers and end-users.
Partners
About Us
Innovating Beyond Regulatory Gaps
Tempero was founded on a deep understanding of the evolving landscape of AI regulation (like the EU AI Act) and a commitment to addressing its gaps. We leveraged our extensive R&D background in automated reasoning and software testing to develop advanced tools that ensure compliance and enhance the safety of AI-driven cyber-physical systems.
The name “Tempero” comes from Latin meaning “to temper,” “to make mild,” or “to refrain from.” It encapsulates our mission: to temper the risks associated with high-risk AI systems.
Our Team
Youssef Hamadi
Co-Founder
Sathiamoorthy Subbarayan
Co-Founder
Bala Murali
Team Member
Santhoshi K S
Team Member