Elevate your Functional Safety, Software Development (ASPICE), and Product Cybersecurity performance by extracting thousands of stakeholder requirements to compare it with internal requirements, and receive feedback on adequacy, consistency, contradiction and compliance with business and NLP rules.
Vendor
Omnex Systems
Company Website
eMobility.AI by Omnex Systems is an advanced AI-powered platform designed to enhance efficiency and compliance in electric and autonomous vehicle development. It focuses on critical areas such as Functional Safety, ASPICE (Automotive SPICE) software development, and Product Cybersecurity, ensuring organizations meet stringent automotive standards while accelerating product launches. The platform leverages AI and NLP to automate requirement extraction, validate consistency, and assess work products against compliance rules. With real-time insights and continuous project reviews, eMobility.AI empowers teams to reduce manual effort, minimize errors, and improve overall product quality.
Features
- Requirements Engineering: Automates extraction of stakeholder requirements, creates internal requirements, and routes them internally and to customers. AI guidance reduces review cycles using historical data.
- Work Product Assessment: Integrates with development toolkits to perform qualitative and quantitative analysis on system, software, and management processes.
- Root Cause Analysis: AI identifies escape, occurrence, and systemic causes by analyzing hidden data patterns and correlations.
- Process Strategy / Plan Analysis: Evaluates process plans (e.g., Change Request Management Plan) for completeness and compliance with essential criteria.
- Consistency Checks: Performs qualitative checks on requirements and test cases to identify inconsistencies.
- Snapshot Project Reviews: Provides continuous oversight and instant feedback on project deliverables.
- Integration: Works seamlessly with existing product development toolkits and Omnex platforms.
Benefits
- Strategic Advantage: Accelerates product launches through AI-driven automation and predictive insights.
- Efficiency: Reduces manual effort, minimizes errors, and saves time for development and QA teams.
- Cost Savings: Significant reduction in resource time and prevention of quality issues.
- Speed: Instant results on multiple criteria across processes, enabling faster decision-making.
- Data Insights: Provides actionable intelligence from large datasets for better compliance and performance.
- Value Maximization: Up to 60% reduction in product development process time and 25–40% cost savings.