.net.ai domains list

What is .net.ai TLD

The .net.ai space is a structured domain under the .ai country-code, commonly selected for networked services, infrastructure tools, and AI‑focused platforms. In our index, we treat it as a distinct namespace to enable consistent tracking of .net.ai domains and the behaviors of associated .net.ai websites. Usage spans regions and sectors, from model serving endpoints to analytics backends. Today we observe 63 active registrations, with 42 live properties across 8 countries, indicating concentrated yet international adoption. This ratio helps us quantify hosting density, resilience, and cross‑border footprint. Our datasets capture nameserver, SSL, and technology fingerprints so teams can audit vendor reliance and surface emerging operators within .net.ai. Download webatla’s .net.ai domain datasets to explore the namespace in detail.

History and key features of .net.ai TLD

Historically, .net.ai has mirrored the functional role of “.net” within the .ai hierarchy, attracting operators of connectivity layers, APIs, and tooling. While formal policy is defined at the .ai registry level, we observe consistent conventions in how .net.ai domains are configured and maintained. At present, 42 show active DNS, a strong indicator of technical readiness and potential for production .net.ai websites. Recent registration momentum is modest: 0 in December 2025 and 0, suggesting a stable base rather than rapid expansion. Feature-wise, we profile nameserver diversity, certificate cadence, and hosting geography to understand resilience and vendor concentration. These signals help security teams, researchers, and investors benchmark maturity across cohorts. Download webatla’s historical .net.ai datasets for full timelines and configuration patterns.

Why and who choose the .net.ai domain

Organizations choose .net.ai when they want to signal networked, infrastructure-facing AI services without the consumer connotations of general-purpose labels. Typical adopters include platform teams exposing inference APIs, observability vendors, dataset delivery pipelines, and research groups coordinating distributed experiments. In our telemetry, 8 countries host activity, with 42 visible .net.ai websites across 63 observed .net.ai domains, a footprint consistent with specialized, backend-oriented use. Low recent churn – captured by 0 – can indicate steady maintenance cycles and longer-lived deployments, though we monitor for shifts as models and providers evolve. Teams assessing suppliers or mapping ecosystems can use our datasets to compare uptime proxies, DNS agility, and provider overlap. Download webatla’s .net.ai market datasets to benchmark peers and opportunities.