SECQAI develops dual-use hardware and software solutions focused on confidential computing infrastructure. The company provides highly secure Trusted Platform Modules (TPMs) featuring Q-Locked architecture for server and edge device security. These solutions incorporate post-quantum cryptography and ensure device integrity against physical tampering and supply chain risks.
Funding
$110K 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
IoT devices and critical infrastructure are increasingly vulnerable to cyber threats, including ransomware and quantum attacks, due to memory vulnerabilities and inadequate security measures. Existing security solutions often fail to address emerging quantum computing threats and can't prevent a large percentage of common attacks.
Solution
SECQAI develops hardware and software solutions to protect IoT devices and infrastructure from existing and future cyber threats. Their products include memory-hardened Trusted Platform Modules (TPMs), secure System-on-Chips (SoCs), and neuromorphic accelerators, designed with secure-by-design principles and post-quantum cryptography. SECQAI's solutions aim to prevent a significant percentage of existing attacks while ensuring resilience against quantum attacks. They also offer proprietary quantum algorithms and machine learning techniques to accelerate workloads and enhance security.
Target Audience
SECQAI's primary customers include governments, organizations, and businesses that require robust security solutions for their IoT devices and critical infrastructure.
Features
- Memory-hardened Trusted Platform Modules (TPMs) for enhanced device security
- Secure System-on-Chips (SoCs) designed with secure-by-design principles
- Neuromorphic hardware accelerators for energy-efficient machine learning
- Post-quantum cryptography to protect against future quantum attacks
- Proprietary quantum algorithms for accelerated data processing
- Quantum Large Language Models (QLLM) for advanced AI applications
- Solutions mitigate memory vulnerabilities, preventing a large percentage of common attacks