Help employees adapt to the real-world complexity of the 2026 workplace with online training they'll actually appreciate.
Engaging workplace video, interactive scenarios, sentiment questions, policy acknowledge, completion certificates. Content written by lawyers, content warrantied, litigation reporting. AuthorAI custom content tool. 100+ microlessons; Centerstage Video Library.
Preventing Workplace Harassment courses meet all relevant laws (CA, NY, IL, UK, AUS, CAN, IND, MEX, etc.) 55+ translations. Global Data Privacy, Cybersecurity.
Analytics: Risk benchmarking by geo & dept. Employee skill and Leadership intelligence. Recognized as a "World Changing Idea in AI and Data."
SOC 2 Type II. TRUSTe certified for US-EU, US-UK, and US-Swiss data privacy frameworks. WCAG 2.1 AA accessibility.
Clients: Cisco, Degreed, Genentech, Glassdoor, Instacart, NPR, Whirlpool, Workday.
Partners: Workday Cloud Connect & Skills Cloud, Udemy for Business, Ninjio. AWS Marketplace
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RaimaDB is an embedded time series database for IoT and Edge devices that can run in-memory. It is an extremely powerful, lightweight and secure RDBMS. Field tested by over 20 000 developers worldwide and has more than 25 000 000 deployments.
RaimaDB is a high-performance, cross-platform embedded database designed for mission-critical applications, particularly in the Internet of Things (IoT) and edge computing markets. It offers a small footprint, making it suitable for resource-constrained environments, and supports both in-memory and persistent storage configurations. RaimaDB provides developers with multiple data modeling options, including traditional relational models and direct relationships through network model sets. It ensures data integrity with ACID-compliant transactions and supports various indexing methods such as B+Tree, Hash Table, R-Tree, and AVL-Tree.
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Evo 2
Evo 2 is a genomic foundation model capable of generalist prediction and design tasks across DNA, RNA, and proteins. It utilizes a frontier deep learning architecture to model biological sequences at single-nucleotide resolution, achieving near-linear scaling of compute and memory relative to context length. Trained with 40 billion parameters and a 1 megabase context length, Evo 2 processes over 9 trillion nucleotides from diverse eukaryotic and prokaryotic genomes. This extensive training enables Evo 2 to perform zero-shot function prediction across multiple biological modalities, including DNA, RNA, and proteins, and to generate novel sequences with plausible genomic architecture. The model's capabilities have been demonstrated in tasks such as designing functional CRISPR systems and predicting disease-causing mutations in human genes. Evo 2 is publicly accessible via Arc's GitHub repository and is integrated into the NVIDIA BioNeMo framework.
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