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Legion Multiplayer is a shared work surface where people and AI agents do the work together. Every change an agent makes is attributed, approval-gated steps wait for a person, and Multiplayer deploys wherever Legion deploys: cloud, classified, and disconnected environments.

Fielding accredited AI at the edge is an accreditation and procurement problem before a capability one. A single-purchase, pre-hardened IL6 system with documented HBOM and SBOM can shorten the path to an ATO.

The AI that ran fine in garrison goes dark the moment the network drops. That's DDIL, and it's where cloud-dependent AI fails. Here's what an edge system needs to keep working when the link is gone.

Chat assistants made aerospace manuals searchable. Governed agents go further, carrying out the maintenance work across parts, work orders, and systems teams already run, under human command and with a record of every action, on-prem or air-gapped.

Most AI fails in C2 because systems don't communicate. Learn why orchestration—connecting AI across every platform—is the architectural breakthrough defense organizations need.

Legion’s AI orchestration helped a DOD Special Operations unit cut scenario error checks from 16 hours to under 10 minutes, boosting realism and instructor impact in Civil Affairs training.

Legion (formerly Yurts) delivers secure, orchestrated AI built for mission-critical workflows. Explore how we're empowering teams with intelligent, human-centered solutions for demanding environments.

Redhorse partners with Legion to streamline government workflows, automating tasks and boosting data security. This enhances productivity by addressing data sensitivity, tool adoption, prescriptive maintenance, efficient document searches, and federal contract responses.

Legion integrates NVIDIA NIM microservices into its GenAI platform, expanding enterprise-ready LLMs, ensuring secure and flexible deployments. This enhances GPU-accelerated model variety, aiding secure, scalable AI solutions for enterprises.

Legion raises $40M Series B led by XYZ Ventures, Glynn Capital, and Nava Ventures. This funding boosts our mission-critical AI for defense and enterprise sectors, achieving reliable, impactful real-world deployments.

Discover how Legion's RAG system matches Anthropic’s Contextual Retrieval performance on the Codebases dataset at just 1/300th of the cost. Explore our evaluation to see why Legion RAG is the smart, cost-effective choice for high-performance AI solutions.

Comparing RAG systems and LCW models on Needle in a Haystack benchmarks, showing RAG's superior performance and scalability, highlighting the need for better benchmarks for LCW models.

Over a year after ChatGPT's launch, AI excitement remains high, but integrating AI into core business systems is challenging. True transformation requires bridging cutting-edge tech with legacy infrastructures.

AI debate mirrors early internet era: high hopes clash with realities, echoing past tech cycles. True AI impact akin to slow web evolution, requiring substantial infrastructure and integration efforts.

Next-gen AI without breaking the bank! AWQ, a quantization method, boosts deploying LLMs' cost-effectiveness by cutting GPU needs, enabling wider access to advanced AI technology at lower costs.

Discover why Legion is essential for businesses adopting generative AI, offering unmatched security, smooth integrations, and powerful analytics.

Learn to fine-tune LLMs with FIP & LoRA methods to beat "Catastrophic Forgetting" for robust AI applications across industries.

In the whirlwind of GenAI hype, with countless press releases and social media posts, there's a crucial point to note: Enterprises are not extensively leveraging GenAI in critical workflows or revenue-generating functions.

TL;DR: We benchmarked various open-source LLMs, including Llama-v2-7b-chat, finding they hallucinate around 55% of the time in context-aware Q&A tasks without tuning.