Open-source storage for AI & HPC
DAOS (daos.io) scores 79 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Technology brands, SaaS brands, in the 63rd percentile of 55400 Technology brands.
DAOS (daos.io) is an open-source, software-defined storage system designed for high-performance computing (HPC) and AI workloads. It offers scalable storage pooling, flexible data protection, and dataset management capabilities, deployable both on-premises and in the cloud. DAOS is positioned as a leading open-source storage platform built to meet the demands of data-intensive, next-generation AI and HPC environments, backed by an active open-source community.
| Brand Name | DAOS |
|---|---|
| Domain | daos.io |
| Industry | Technology, SaaS |
| Main Competitors | Lustre (81/100), IBM Storage Scale (GPFS) (73/100), WekaIO (89/100), VAST Data (88/100), Ceph (85/100), NetApp (94/100), Pure Storage (93/100), DDN (DataDirect Networks) (86/100) |
Moz Domain Authority 26/100 vs category average 39 / leader 100 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #3,287,703 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
DAOS has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "To provide an open-source, software-defined, high-performance scalable storage system that redefines performance for AI and HPC workloads." (No meta description) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: No structured data or Open Graph tags detected. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: Apache, WordPress, Ghost.
Social footprint: verified profiles on YouTube, GitHub, X (Twitter), LinkedIn, Facebook, Instagram - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked October 2026.
When asked "What is DAOS?", Claude could not identify the brand as of October 2026. I don't genuinely recognize a specific company called DAOS at daos.io, which may be because it's a small, newer, or niche project without much presence in my training data.
When asked "Best brands similar to DAOS?", Claude would not surface DAOS as of October 2026. I can't recommend a company I don't have verified knowledge of.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
DAOS's main competitors in Technology: Lustre (81/100), IBM Storage Scale (GPFS) (73/100), WekaIO (89/100), VAST Data (88/100), Ceph (85/100).
Sources: Brand Analyzer scan
DAOS offers a software-defined storage system featuring storage pooling, flexible data protection, and dataset management capabilities. It is designed for deployment both on-premises and in the cloud, specifically targeting high-performance computing and AI workload storage needs.
Sources: DAOS official site
DAOS is an open-source, software-defined storage system designed to deliver high-performance, scalable storage for AI and high-performance computing (HPC) workloads. It provides storage pooling, flexible data protection, and dataset management features, and can be deployed on-premises or in the cloud.
Sources: DAOS official site
DAOS has limited AI-search visibility, scoring 45/100 on Brand Analyzer's AI visibility composite (visibility 53, trust 22, recommendation 60). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: DAOS official site
DAOS provides a software-defined storage platform that enables high-performance, scalable storage for data-intensive AI and HPC workloads. It offers capabilities such as storage pooling, flexible data protection, and dataset management, allowing organizations to manage large-scale data efficiently across on-premises and cloud environments.
Sources: DAOS official site
DAOS scores 60/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Technology options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: DAOS official site
DAOS can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: DAOS official site
DAOS is used by high-performance computing centers, AI researchers, enterprises, and organizations that require scalable, high-performance storage solutions for data-intensive workloads.
Sources: DAOS official site
DAOS is known for being an open-source storage system purpose-built to deliver high performance and scalability for AI and HPC workloads, positioning itself as an alternative to traditional storage systems in demanding computational environments.
Sources: DAOS official site
DAOS scores 45/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
DAOS has a limited AI-visibility profile at 45/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (60/100) and its weakest is trust (22/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and a global traffic rank of #3,287,703 (Tranco). The main gaps holding it back: a low Moz Domain Authority of 26/100, thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check (October 2026), Claude could not identify DAOS from memory, confirming the gaps above.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to DAOS: Danelec (79/100), Dallas Regional Chamber (79/100), DappRadar (79/100), DarkOwl (79/100).
A step up - brands to learn from: Zymo Research (81/100), Zurich Italia (81/100).
Category leader: Hostinger (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.