DeepKeep · DeepKeep Safeguards AI Applications Across LLM, Vision, Spatial Sensing, Human-Machine Interaction and Multimodal Models with AI-Native Security and Trustworthiness

AI systems face many challenges, including privacy challenges, information theft, and biases, particularly in GenAI, LLM approaches, vision, spatial sensing, human-machine interaction and multimodal models. Integrating AI into physical environments poses additional barriers (e.g. security vulnerabilities, complex sensor handling, advanced deception scenarios). Companies developing AI models struggle with inadequate testing standards and high costs, while those adopting AI often lack the necessary expertise and security measures.DeepKeep has developed a platform that can be applied to GenAI, LLM approaches, vision, spatial sensing, human-machine interaction, and multimodal models that can solve many multidisciplinary challenges for the integration of AI in the physical world. The platform’s key features include the framework itself, providing a holistic coverage for both trustworthiness and security, addressing the entire AI lifecycle, and supporting diverse deployment scenarios; comprehensive algorithmic coverage; automatic discovery and analysis of AI model weak-segments; physical threat vector analysis and protection capabilities; AI-driven platform automation and generic applicability; adaptation to edge device environments; and regulatory compliance evaluation and enhancement.Now is the right time for our solution, as AI is becoming an essential part of businesses and our everyday lives. In 2023, 35% of businesses adopted AI, 77% of all devices used some form of AI, 90% of leading businesses supported and invested in AI, and 85% of enterprises will expand AI with open-source models.We founded DeepKeep Ltd. in 2021 in Tel Aviv, Israel, and target 30% of the TRiSM market with a pricing model that includes annual licenses with 3 plans (cloud plan, on-premise plan, and edge plan), and users can also purchase LLM tokens.Our team consists of 24 highly experienced, multidisciplinary employees with 20% of our leadership team and 45% of our workforce being female.