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Attestable completes AI verifiable technology breakthrough, secures $20 million in seed round financing

AI security startup Attestable has officially announced its establishment and completed a $20 million seed round financing. This round of financing was led by Jamin Ball of Altimeter Capital and Yonatan Mandelbaum of TLV Partners, with participation from institutions such as Halcyon Futures, Cerca Partners, and several investors.Attestable founder Yogi stated that as AI gradually enters critical infrastructure, national security, and large enterprise systems, how to verify the credibility of AI operations has become an important issue faced globally. The company aims to build a universal verification layer for cutting-edge AI laboratories, critical infrastructure, and national-level applications.According to reports, Attestable uses Zero-Knowledge Proof technology to shift trust in AI systems from data centers to mathematical verification mechanisms. This technology can prove that a certain approved model, model weights, input data, and operational strategies indeed generated specific outputs, while not disclosing model parameters or user privacy data, and without needing to rerun the model for verification.Attestable stated that its technology has currently achieved verification inference of the Meta Muse Glimmer 30B model on a single NVIDIA H100 GPU, reaching a speed of 85 tokens per second. The generated proof documents are small and possess quantum-resistant characteristics, allowing for rapid verification.In response, Ethereum co-founder Vitalik Buterin commented, stating that this achievement means the performance loss of Zero-Knowledge Proofs for large language models is approaching single-digit levels. He noted that the next challenge is to further reduce the performance overhead of technologies such as Fully Homomorphic Encryption (FHE).

AI infrastructure startup Trajectory has completed a $40 million financing round, with participation from Sequoia Capital

According to The Information, AI infrastructure startup Trajectory announced the completion of a $40 million financing round, with a post-money valuation of $300 million, co-invested by Sequoia Capital. The specific financing round and other investors have not been disclosed.Trajectory was founded by researchers from tech companies such as Google and Apple, and primarily helps businesses customize open-source AI models for specific business needs, as well as optimize the software toolchain that supports AI Agent operations (referred to as "Agent Harness"). As the costs of using closed-source large models continue to rise, more and more companies are looking for alternatives: on one hand, they are reducing costs by fine-tuning and customizing open-source models, and on the other hand, they are improving the Agent execution framework to enable AI models to more effectively call tools and execute tasks.This trend is driving a new wave of entrepreneurial enthusiasm around model adaptation and Agent infrastructure. Trajectory aims to address key issues faced by enterprises in deploying AI Agents, including model performance optimization, task execution reliability, and adaptation to enterprise scenarios. The company hopes to help businesses build more efficient and cost-effective AI applications by providing model customization and Agent operation infrastructure.Investors believe that as AI evolves from simple chatbots to Agents capable of autonomously executing complex tasks, a new layer of infrastructure around model optimization and Agent engineering will become an important market. In recent years, Sequoia has also continued to increase its investment in the AI infrastructure sector, including investments in AI Agents and enterprise AI applications.
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