Caspia Technologies offers an AI‑driven security verification platform that integrates directly into standard RTL and verification workflows, automatically scanning code for CWE‑mapped hardware security weaknesses and providing actionable remediation. Its CODAx static analysis engine, along with generative AI modules for formal verification (SVx) and dynamic testing (PFx), delivers instant security insights, CI/CD integration, and traceable compliance evidence for standards such as ISO/SAE 21434 and DO‑254.
Funding
$600K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Silicon designers often lack integrated security verification tools, requiring manual checks or specialized expertise to identify hardware vulnerabilities in RTL code, which can lead to costly redesigns and non‑compliance with standards such as ISO/SAE 21434 or DO‑254.
Solution
Caspia offers an AI‑driven security verification platform that statically analyzes RTL designs to automatically detect hardware security weaknesses mapped to CWE standards. The flagship CODAx tool integrates seamlessly into existing EDA flows and CI/CD pipelines, delivering actionable feedback within seconds without needing security specialists. By leveraging a large hardware security knowledge base and generative AI, the platform provides detailed root‑cause analysis, remediation guidance, and traceable evidence for regulatory compliance. The solution supports both datapath and control‑flow analysis, covering fault injection, DoS, and unauthorized signal modification scenarios. Engineers can continuously monitor security throughout the design lifecycle, accelerating secure‑by‑design development and reducing reliance on expert security teams.
Target Audience
Primary customers are semiconductor design teams, including ASIC/FPGA engineers and verification groups, who need to embed security verification into their RTL development workflows.
Features
- Static RTL linting that identifies CWE‑mapped hardware security flaws across datapath and FSM control paths
- AI‑powered root‑cause analysis with automated fix recommendations for each detected vulnerability
- One‑click integration with common EDA tools and CI/CD pipelines for continuous security checks
- Immediate, detailed reports that include impact assessment, remediation steps, and compliance evidence
- Support for generating audit‑ready documentation aligned with ISO/SAE 21434, DO‑254, EU CRA, and related standards
- Scalable licensing model allowing seamless adoption across small teams to large SoC projects