.ai.in domains list

What is .ai.in TLD

.ai.in is not an ICANN root TLD; it denotes a structured second‑level label within India’s .in country-code domain, typically supporting third‑level registrations (for example, project.ai.in). In practice, it signals India‑focused artificial‑intelligence identity while remaining governed by .in registry rules. We analyse how .ai.in domains cluster across sectors, hosts, and networks, and how .ai.in websites behave in terms of uptime, SSL deployment, and geolocation. Compared with the global .ai space, .ai.in emphasizes Indian jurisdiction, policy compliance, and local search intent. Choosing it therefore combines AI‑centric branding with an India anchor, which may benefit organisations prioritising domestic audiences or data‑residency expectations. To quantify suitability, we recommend examining registration velocity, active‑use ratios, and DNS footprints across this namespace. Explore .ai.in domain datasets from webatla to validate trends.

History and key features of .ai.in TLD

Historically, .in opened broadly in 2005 under NIXI, with sub‑namespaces occasionally used to segment purpose or community; any ai.in construct therefore inherits .in technical operations and policy frameworks rather than defining its own. Key features affecting .ai.in domains include DNSSEC capability at .in, EPP‑based provisioning via accredited registrars, and the .IN Dispute Resolution Policy (INDRP). For .ai.in websites, performance typically aligns with chosen hosting and CDN footprints; search engines may also read .in as an India signal. We track year‑over‑year registrations, nameserver diversity, transfer flows, and lapse rates to distinguish speculative holdings from real adoption. Where historical specifics are ambiguous, we model using neighbouring .in cohorts for contextually sound baselines. Explore .ai.in domain datasets from webatla for policy‑aware benchmarking.

Why and who choose the .ai.in domain

Organisations selecting .ai.in often seek AI‑aligned branding anchored to India: startups validating prototypes for the Indian market, research labs collaborating with domestic institutes, accelerators, and global firms localising service lines. .ai.in domains can support clearer geotargeting in compliance‑sensitive sectors, while .ai.in websites may convey proximity to Indian users and ecosystems. Trade‑offs include dependence on .in policies, variable international recognition versus .ai, and third‑level label constraints when applicable. We advise comparing cost structures, renewal horizons, and competitor density against alternatives (.ai, .co.in, direct .in) before committing. Data‑driven evaluation should prioritise real‑use indicators—MX presence, TLS cadence, content freshness, and traffic signals—over raw registration counts. Explore curated .ai.in domain datasets from webatla to map opportunities.