AI Safety 4

AI safety and research company building reliable, interpretable, and steerable AI systems.
Anthropic is an AI safety and research company dedicated to building reliable, interpretable, and steerable AI systems. They offer AI models like Claude 3 Opus, Claude 3 Sonnet, and Claude 3 Haiku, which set industry benchmarks in reasoning, math, coding, multilingual understanding, and vision. Anthropic provides AI solutions for various use cases, including collaboration, coding, and customer support, with a focus on integrity, security, and trustworthiness.

Adversa AI secures AI systems from cyber threats, privacy issues, and safety incidents.
Adversa AI is a company focused on securing Machine Learning (ML), Artificial Intelligence (AI), and Large Language Models (LLM). They offer platform solutions for secure AI awareness, assessment, and assurance. Adversa AI helps organizations protect their AI systems from cyber threats, privacy issues, and safety incidents. They provide research, compliance, and industry-specific solutions to mitigate AI risks across various sectors, including finance, insurance, automotive, biometrics, and more.

AI assistant for clinical documentation, revenue enhancement, and utilization management.
Pieces Technologies offers an AI assistant for clinical documentation, revenue enhancement, and utilization management across inpatient and outpatient settings. Their physician-led approach develops ensemble AI solutions to assist care teams, focusing on safety and reliability. The platform integrates seamlessly into EHR systems, providing tools for on-time documentation, billing opportunity identification, and improved discharge summaries.

Decentralized AI platform for scalable and accurate AI solutions.
OpenPeer AI is a decentralized AI platform built using LonScript, the Decentralized-Internet SDK, Mojo, and the LLM Standard. It leverages BOINC as its foundation and aims to provide a scalable platform for AI, ensuring accuracy and predictability. It focuses on utility-oriented AI solutions, supporting diffusion models, generative art, AI safety, horizontal scaling, and Robotic Process Automations (RPAs).