analysis .bot - gTLD (Generic Top-Level Domain)

[Eric Lyon]

Today, i'll be analyzing the .bot gTLD to see if I can dig up any helpful data points that could be stacked with someone elses research into the .bot extension.

The registry for the .bot gTLD is Amazon Registry Services, Inc., operating under ICANN's New gTLD Program, with Amazon responsible for managing policies and operations for the domain, aiming to identify AI, automation, and bot-related websites.

Source

Anyone can register a .bot domain name on a first-come, first-served basis through a domain registrar, but the domain must be for a functional bot (like a chatbot or AI tool) and pass Amazon's (the registry operator) verification process to ensure it's for a real bot, unlike typical generic TLDs that have fewer restrictions

Source

Note: At the time of this analysis there was a 1-character limit to register a .bot domain. There were also a lot of 1-character .bot domains available to register, but with a mid-4-figure premium registration cost.

With the above in mid, lets dive right in...

.bot domain registration costs​

According to Tldes.com the .bot registration cost ranges from $15.19 to $73.00+.

.bot domains registered today​

According to DNS.Coffee there are 17,503 .bot domains registered today.

Public .bot domain sales reports​

It's hard to find many .bot domain sales reports online, indicating most are private sales.

Note: NameBio.com shows 32 .bot domain sales reports ranging from $117 to $250,000.

5-year .bot domain growth summary​

The .bot gTLD has experienced substantial growth over the last five years, largely driven by a sharp increase in registrations between 2023 and 2024. Below is an outline of the yearly registration totals for .bot domains, referencing the provided DNS.Coffee data, and noting that the current total as of today (December 15, 2025) is approximately 17,469 [DNS.Coffee data].

5-year .bot domain summary​

Date	Total Registrations [DNS.Coffee data]	Year-over-Year Change
Jan 2021	1,522	N/A
Jan 2022	1,308	↓ 14.1%
Jan 2023	1,242	↓ 5.1%
Jan 2024	8,430	↑ 578.7%
Dec 2025	17,503	↑ 107.6% (approx.)

Initial Stagnation (2021-2023):
The domain started with modest adoption, showing a slight decline in total registrations between January 2021 and January 2023. The total count remained relatively flat, hovering around 1,200 to 1,500 domains for nearly two years [DNS.Coffee data].

Explosive Growth (2023-2024):
The period between January 2023 and January 2024 marked a pivotal moment. Registrations surged dramatically, jumping from 1,242 to 8,430 domains—an increase of nearly 579% in a single year [DNS.Coffee data]. This sharp rise likely correlates with the booming interest and investment in artificial intelligence (AI) and automated systems during that time.

Sustained Momentum (2024-2025):
The growth momentum continued strong into 2025. By December 2025, the total number of registrations had nearly doubled again to 17,503 [DNS.Coffee data].

Note: The .bot gTLD experienced a slow start followed by exponential growth catalyzed by the broader technological trends in AI and robotics, resulting in significant market adoption over the last two years.

Potential .bot domain growth and decline factors
Several elements could contribute to continued or accelerated growth in .bot domain registrations:

Growth factors

• Global AI and Automation Boom: The primary driver is the massive, ongoing expansion of artificial intelligence, machine learning, and automation technologies. As more companies develop chatbots, robotic processes, and AI agents, the need for a dedicated, descriptive domain name increases [DNS.Coffee data].
• Domain Specificity and Branding: The .bot gTLD offers clear, immediate branding benefits. It instantly signals the nature of a website or service to users, which is a powerful marketing tool for startups and established tech companies alike.
• Amazon's Stewardship: The registry is managed by Amazon Registry Services. Association with a major global tech leader like Amazon provides credibility and stability, which can encourage registrars to promote the TLD and users to adopt it.
• Increased Domain Aftermarket Activity: High-profile sales like crypto.bot for $250,000 can raise awareness and perceived value of the TLD, encouraging investors and businesses to register domains they hope will appreciate in value [NameBio.com data].
• New Use Cases: The evolution of AI into new areas (e.g., decentralized autonomous organizations or DAOs, advanced virtual assistants) may create unforeseen demand for specific domain names.

Decline Factors
Conversely, several factors could lead to a stagnation or decline in registrations:

• Strict Registry Policies/Verification Issues: Amazon has previously indicated policies that might require registrants to prove their domain is actively used for a bot-related project. Onerous enforcement of such policies could deter speculative registrations and hobbyists, leading to a drop in numbers.
• Technological Shift Away from "Bots": While unlikely in the short term, a future technological paradigm shift where the term "bot" becomes obsolete or is replaced by a different industry term (e.g., "AI agent," "assistant") might reduce the TLD's relevance.
• Economic Downturns: Domain registrations are discretionary expenses for many businesses and individuals. General economic recessions often lead to decreased new registrations and higher deletion rates as companies cut non-essential costs.
• Competition from Broader TLDs: Registrants might prefer more general and established TLDs like .com, .io, or .ai due to existing brand recognition or concerns about the long-term viability and cost of a niche TLD.
• High Renewal Costs: Many registrars offer low introductory prices but high renewal fees (some exceeding $80-$100 annually). These high recurring costs can lead to registrants abandoning their domains after the first year if the project is unsuccessful.

8 niches for .bot domains​

1. Customer Service and E-commerce: Businesses in this niche use bots to automate customer interactions, handle basic product queries, provide instant support 24/7, and guide users through purchases. Companies like Sephora and Pizza Hut use bots to offer makeup tutorials or process food orders.
2. Finance and Banking: The financial sector utilizes bots for secure transactions, account management, fraud alerts, and answering frequent banking questions, offering efficient 24/7 services to customers.
3. Healthcare and Life Sciences: Bots in healthcare can manage appointments, provide general health information, handle administrative tasks, and even assist with mental well-being applications.
4. Human Resources (HR): HR departments leverage bots to streamline the recruitment process, answer employee FAQs, onboard new hires, and manage internal queries, which is particularly relevant with the rise of remote work.
5. Travel and Hospitality: Travel companies use bots to manage bookings, answer questions about destinations, provide real-time updates, and assist with check-ins, significantly impacting customer experience.
6. Software Development & AI Platforms: This niche includes companies that build the actual bot technology or offer bot-as-a-service (BaaS) platforms, using the .bot domain to clearly identify their core business (e.g., Botpress, a platform for building customized chatbots).
7. Gaming and Entertainment: Bots are used within gaming for various functions, including running game servers, providing in-game assistance, or managing community interactions.
8. Internal Corporate Automation: Large corporations use specialized bots for internal processes, such as IT helpdesks, data monitoring, compliance monitoring (e.g., ActiveComply bot), and managing internal logistics or data analysis.

What a playful .bot domain hack might look like​

A "domain hack" occurs when a domain name is created by combining the second-level domain (the word before the dot) and the top-level domain (the TLD after the dot) to form a complete, readable word or phrase. For the .bot gTLD, which is primarily associated with automation and AI, the hack is achieved by using words that flow seamlessly into "bot," often transforming an adjective or a function into the full word "robot."

How a .bot Domain Hack Works
The hack plays on the sound and spelling of the combined phrase. The user reads the domain name in sequence, creating a natural-sounding phrase or full word.

• The Concept: The user registers a domain like some.bot.
• The Reading: When a person reads the full address—some.bot—their brain naturally processes it as the single word "somebot."
• The Intent: The registrant intends for the combination of the domain name and the TLD to form a complete idea or brand name.

Examples of .bot Domain Hacks​

Word Before the Dot	Full Domain Name	Intended Phrase/Word
Ro	ro.bot	"Robot"
Chat	chat.bot	"Chatbot"
Some	some.bot	"Somebot"
Knowalot	knowalot.bot	"Know-a-lot bot"
Hub	hub.bot	"Hubot" (a common bot framework name)

Appeal of Domain Hacks
Domain hacks for the .bot TLD offer several benefits:

• Memorability: They are catchy, easy to remember, and often sound more like a standard brand name than a typical domain name.
• Branding: They allow companies to reinforce their brand name or core function directly within the domain name itself.
• Creativity: They add a layer of cleverness that can make a brand stand out in a crowded market.

Why the language before and after the dot should match
To maximize the effectiveness of a domain hack with a TLD like .bot, the second-level domain (the word before the dot) should ideally be English because the top-level domain itself is derived from the English word "robot" and is predominantly understood in English-speaking markets. The success of a domain hack relies entirely on immediate linguistic recognition, where the reader seamlessly combines the two parts into a single, coherent, and familiar word or phrase (e.g., combining the English word "chat" with .bot to form "chatbot"). If the word before the dot is in a different language, the intended wordplay is lost on English speakers, diminishing the branding, memorability, and marketing value of the hack. The current total of registered .bot domains is around 17,503, according to DNS.Coffee data, many of which utilize this English-language linguistic synergy.

10 lead sources for .bot domain outbound campaigns​

• LinkedIn Sales Navigator:
  • Use advanced search filters by job title (e.g., "AI Engineer," "Head of Automation," "Chatbot Project Manager"), industry (e.g., "Computer Software," "Information Technology and Services," "Financial Services," "Hospital & Health Care"), and company size to build highly targeted lists of decision-makers.
• Software & AI Directories (Capterra, G2, etc.):
  • Search through online directories that list AI software, chatbot platforms, and automation tools. The companies listed are prime candidates for a specific .bot domain that matches their product or service name.
• Industry-Specific AI/Bot Events and Webinars:
  • Virtual and in-person events often publish attendee or speaker lists, which provide direct access to professionals and companies actively working on bot projects.
• GitHub and other Developer Communities:
  • Monitor developer platforms for open-source bot projects or frameworks. Project creators and contributing companies are strong leads for a branded .bot domain.
• Tech News & Blogs:
  • Follow prominent AI and tech news outlets (like TechCrunch or specialized AI blogs). When new startups or major companies launch a bot-related product, they become immediate, "warm" leads for acquiring a matching domain.
• "Built With" and Website Tracking Tools (e.g., BuiltWith, Wappalyzer):
  • These tools can identify which companies have implemented specific technologies, such as certain chatbot widgets or AI frameworks on their websites, allowing you to filter for existing users of bot tech.
• Google Search (Advanced Queries):
  • Use targeted search queries to find companies already using your keyword but on a less ideal TLD (e.g., search for "yourkeyword.com" + "bot" or "yourkeyword" and filter for businesses not using the .bot TLD).
• Lead Databases (ZoomInfo, Apollo.io):
  • Leverage comprehensive B2B contact databases that offer vast company and contact data, often with intent data signals to show which companies are in the market for related services or products.
• Social Media Groups and Forums (Reddit, Facebook, LinkedIn Groups):
  • Join relevant communities and observe discussions for common pain points or upcoming projects related to bots. This is an effective way to identify potential needs and build rapport before pitching a domain.
• Competitor Analysis using DotDB/WHOIS Data:
  • Use tools like DotDB to see which companies own similar domains or variations in other TLDs (e.g., a company with chatbotsolutions.com might be interested in chat.bot). The WHOIS data (if public) can provide contact information for the decision-makers.

Helpful Outbound articles and tools

• eMail Marketing Best Practices for Domain Outreach
• List of FREE tools for outbound domain sales
• Outbound Domain sales Tips

Legal considerations when selling a domain to an existing business​

Approaching a business that holds an existing trademark to sell them a similar domain name requires careful consideration of several legal aspects to avoid accusations of "cybersquatting" or trademark infringement. The legal framework surrounding domain names and trademarks is complex and primarily governed by laws such as the Anticybersquatting Consumer Protection Act (ACPA) in the United States and the global Uniform Domain Name Dispute Resolution Policy (UDRP).

The Core Issue: "Bad Faith" Intent
The central determinant in almost all domain disputes is whether you registered, trafficked in, or used the domain name in "bad faith."

• What Constitutes Bad Faith: Registering a domain name with the deliberate intent to sell it back to the trademark owner for a profit is a primary indicator of bad faith.
• What Does Not (Usually) Constitute Bad Faith: Registering a generic, descriptive, or geographically relevant term before a company acquires trademark rights, or using the domain in good faith for your own legitimate business that is unrelated to the trademark owner, can be defenses.

To avoid bad faith accusations:

• Do not register a domain that exactly matches a famous trademark with the sole intent of selling it.
• Ensure the domain name has a legitimate, non-trademark use (e.g., apple.bot might refer to a fruit-picking bot, not the tech company, but this is a risky argument).

The Anticybersquatting Consumer Protection Act (ACPA)
The ACPA provides a legal path for trademark owners to sue domain owners in federal court. If you are found in violation, you could be liable for statutory damages ranging from $1,000 to $100,000 per domain name.

A court will look at several factors to determine bad faith intent, including:

• Whether the domain name owner has trademark or intellectual property rights in the domain name.
• The extent to which the domain name consists of the legal name of the person or entity.
• The person's prior use of the domain name in connection with the bona fide offering of goods or services.
• The offer to sell the domain for financial gain without having used it for a bona fide purpose.

The Uniform Domain Name Dispute Resolution Policy (UDRP)
The UDRP is an administrative process established by ICANN (the Internet Corporation for Assigned Names and Numbers), used globally to quickly resolve disputes without going to court. To win a UDRP case, the trademark owner must prove three things:

1. The domain name is identical or confusingly similar to their trademark.
2. The current registrant has no rights or legitimate interests in the domain name.
3. The domain name was registered and is being used in "bad faith."

Note: If you cannot demonstrate a legitimate use of the domain name, you will likely lose the UDRP case, and the domain name will be transferred to the trademark owner without financial compensation.

How to Approach a Trademark Holder Safely
If you genuinely believe a company could benefit from your domain (and you believe you registered it in good faith), you should:

• Consult Legal Counsel: Before sending an email, speak with an attorney specializing in internet or trademark law.
• Do Not Make Explicit Demands for Exorbitant Prices: This is a key indicator of bad faith. Instead, engage in professional business communication.
• Focus on the Value Proposition: Pitch the domain in terms of its business value for their existing bot/AI projects, brand alignment, or defensive registration strategy, rather than focusing purely on your initial investment or desired profit margin.

Note: Ultimately, caution is paramount. The legal system favors the established trademark owner in most disputes involving identical or nearly identical domain names offered for sale to that owner.

Potential .bot domain investing strategy​

Based on the comprehensive findings regarding the .bot gTLD's market dynamics, growth trajectory, and legal landscape, a strategic investment approach balances aggressive acquisition of high-value names with a strong awareness of legal risks. The best investment strategy should focus on quality, relevance to niche markets, and an exit strategy that minimizes legal exposure.

Analysis of Findings

• Explosive Market Growth: The .bot gTLD experienced significant recent growth, jumping from just over 1,200 domains in Jan 2023 to over 17,500 by Dec 2025 [DNS.Coffee data]. This indicates high current relevance driven by the AI boom and strong market interest.
• High-Value Aftermarket: Public sales data confirms a robust aftermarket, with the top sale, crypto.bot, fetching $250,000 [NameBio.com data]. This proves substantial liquidity and high-profit potential for premium domains.
• Niche Market Alignment: The domain name has clear alignment with specific, high-growth industries like customer service, finance, healthcare, and software development, offering targeted opportunities for investment.
• Legal Risks: Cybersquatting laws (ACPA, UDRP) heavily penalize "bad faith" registration and subsequent selling to trademark owners. Approaching a business with an existing trademark is legally risky without a legitimate, independent use of the domain.

Targeted Acquisition (Focus on Quality and Relevance)

• Prioritize Niche & Descriptive Terms: Instead of trying to acquire every name, focus acquisition on general, highly descriptive, and short words within the top niche markets identified (e.g., related to customer service, finance, HR).
• Avoid Clear Trademarks: Steer clear of domains that closely match existing trademarks (e.g., Amazon.bot, BankofAmerica.bot). The legal risk and potential for non-compensated transfer via UDRP outweigh the potential reward.
• Leverage Domain Hacks (Cautiously): Acquire domains that form a natural English word when combined with the TLD (e.g., ro.bot). This strategy leverages linguistic synergy, making the domain more brandable and memorable.

Value Creation (Establish "Legitimate Interest")

• Build Out Domains: To mitigate "bad faith" accusations and UDRP risks, do not just leave domains parked. Build simple landing pages or basic functional bots that demonstrate a legitimate, bona fide use of the domain, unrelated to a specific trademark owner (unless it's your own brand). This provides a legal defense in future disputes.
• Focus on Organic Leads: Instead of outbound pitching to trademark holders (which can be risky), rely on organic inbound inquiries generated through domain listings on marketplaces (like Sedo or Godaddy). A buyer reaching out to you reduces the appearance of bad faith intent.

Strategic Divestment (Safe and Profitable Exits)

• Target "End-Users": The ideal buyer is a company within the AI industry that doesn't have a direct trademark conflict but needs a powerful, descriptive domain for their service.
• Benchmark Against Market Data: Use sales data from NameBio.com (e.g., crypto.bot at $250,000) to price your premium domains appropriately, aiming for high ROI but staying competitive.
• Consult Legal Counsel: Before engaging in any high-value sales conversation or approaching a potential buyer with an established trademark, consult with an attorney specializing in domain name law.

Note: The best potential strategy is to be a professional, good-faith investor who acquires high-quality, generic terms and minimizes legal exposure by demonstrating legitimate use and avoiding direct conflicts with existing intellectual property.

Helpful Outbound articles and tools

• eMail Marketing Best Practices for Domain Outreach
• List of FREE tools for outbound domain sales
• Outbound Domain sales Tips

Questions for you​

• Do you own any .bot domains?
  • If so, how are they doing for you?
• Thinking about investing into .bot domains?
  • If so, what niche will you target and why?

Remember, at the end of the day, a domain name is truly only worth what a buyer and seller agree on.

What works for one may not work for another and vice versa.

have a great domain investing adventure!

Moderator Note:
Removed reference of Dan.com at the request of the publisher
Since Godaddy acquired and dissolved Dan.com​

 

[katerleonid]

This immediately got me thinking about bot-names.com (Igor Gabrielan’s .bot portfolio).

As far back as 2016 (or more), he seems to have been focused on .ai, .bot, and the metaverse.

 

[Eric Lyon]

This immediately got me thinking about bot-names.com (Igor Gabrielan’s .bot portfolio).

As far back as 2016 (or more), he seems to have been focused on .ai, .bot, and the metaverse.

.ai boomed for him as an early investor, it's possible .bot might be his double-boom... still a bit early to tell, it's promotions mostly pushing the numbers at the moment. Once the dust settles, the picture will be clearer

 

[Future Sensors]

ro.bot

Amazing Ultra Premium with a nice lander.

 

[Eric Lyon]

Amazing Ultra Premium with a nice lander.

Like a mosquito to a blue light, the sizzling and electrifying lander drew me in for a click and BAM! I was at SpaceShip... with whiplash...

 

[Eric Lyon]

This immediately got me thinking about bot-names.com (Igor Gabrielan’s .bot portfolio).

As far back as 2016 (or more), he seems to have been focused on .ai, .bot, and the metaverse.

Speaking of Igor, let's tag him and see if his .bot portfolio has started to see some action - @Igor Gabrielan

What say you about .bot Igor?

 

[NickB]

Just for fun I wanted to check some girl names, there's a fair few at standard reg free available (see below).....was tempted by some.....

isla.bot
freya.bot
sienna.bot
matilda.bot
millie.bot
elsie.bot
arabella.bot
imogen.bot
esme.bot
niamh.bot
leila.bot
amelie.bot
delilah.bot
beatrice.bot
edie.bot
margot.bot
orla.bot
genevieve.bot
talia.bot
priya.bot
fatima.bot
zoya.bot
nadia.bot
rowan.bot
keira.bot
aoife.bot
rhea.bot
camille.bot
josephine.bot
payton.bot
daniela.bot
tessa.bot
pippa.bot
tabitha.bot
robyn.bot
paula.bot
sheila.bot
isabelle.bot

Some examples of tech companies using some of the above names....

Isla – Isla Health (UK/US digital healthcare platform using remote patient monitoring)

Freya
– Freyr Solutions (AI-driven regulatory and compliance technology; “Freya” branding used internally)
– Freya Systems (AI-based energy and sustainability software, Scandinavia)

Sienna
– Sienna AI (computer vision and robotics software used in manufacturing contexts)
– Sienna Technologies (various SaaS and analytics firms globally)

Matilda – Matilda Cloud (cloud analytics and infrastructure intelligence platform)

Millie – Millie (AI customer service chatbot deployed by major UK retailers, notably Hermes/Evri)

Elsie – Elsie AI (AI assistant branding used in healthtech and femtech contexts)

Arabella – Arabella Technologies (data analytics and consultancy in tech-enabled services)

Imogen – Imogen AI (used in medical imaging and diagnostics research projects)

Esme – ESME Intelligence (data-driven education technology analytics)

Leila – Leila AI (mental health and wellbeing technology platforms)

Amelie – Amelie AI (HR and recruitment automation software)

Delilah – Delilah Systems (RFID and retail technology solutions)

Beatrice – Beatrice AI (AI ethics, governance, and explainability tools – emerging field usage)

Edie – Edie.net (UK sustainability, data, and digital reporting platform)

Margot – Margot AI (climate and carbon accounting software)

Orla – Orla AI (voice and conversational AI projects, early-stage)

Genevieve – Genevieve Analytics (data science and modelling consultancy)

Talia – Talia Systems (semantic search, AI knowledge management software)

Priya – Priya AI (healthtech and personalised care systems, name used in multiple regional startups)

Zoya – Zoya AI (ethical investing and fintech analytics platform)

Nadia – Nadia Systems (AI-based accessibility and speech recognition research tools)

Rowan
– Rowan Robotics (robotics and automation systems)
– Rowan Technology Group (enterprise IT services)

Keira – Keira AI (conversational agents and voice technology projects)

Aoife – Aoife Analytics (Irish data science and AI consultancy usage)

Rhea
– Rhea AI (robotics, automation, and industrial AI platforms)
– Rhea Group (engineering and space-tech services)

Camille – Camille AI (AI content moderation and trust-and-safety tooling)

Josephine – Josephine AI (legaltech automation and document intelligence projects)

Payton – Payton Planar Magnetics (high-end electronics and power-tech manufacturer)

Daniela – Daniela AI (medical imaging and diagnostic support systems)

Tessa – TESSA (AI-driven energy optimisation and sustainability software)

Pippa – Pippa.io (analytics and data aggregation SaaS platform)

Tabitha – Tabitha AI (healthcare diagnostics and decision-support research projects)

Robyn – Robyn AI (marketing attribution and analytics platform)

Paula – PAULA AI (legal process automation and case analysis tools)

Sheila – Sheila AI (customer service and HR assistant na
ming used in enterprise pilots)

Isabelle – Isabelle AI (AI research assistants and language-processing projects)

*Ran the above the above names through ChatGPT and asked for a list of tech companies called them*

 

[Eric Lyon]

Just for fun I wanted to check some girl names, there's a fair few at standard reg free available (see below).....was tempted by some.....

isla.bot
freya.bot
sienna.bot
matilda.bot
millie.bot
elsie.bot
arabella.bot
imogen.bot
esme.bot
niamh.bot
leila.bot
amelie.bot
delilah.bot
beatrice.bot
edie.bot
margot.bot
orla.bot
genevieve.bot
talia.bot
priya.bot
fatima.bot
zoya.bot
nadia.bot
rowan.bot
keira.bot
aoife.bot
rhea.bot
camille.bot
josephine.bot
payton.bot
daniela.bot
tessa.bot
pippa.bot
tabitha.bot
robyn.bot
paula.bot
sheila.bot
isabelle.bot

Some examples of tech companies using some of the above names....

Isla – Isla Health (UK/US digital healthcare platform using remote patient monitoring)

Freya
– Freyr Solutions (AI-driven regulatory and compliance technology; “Freya” branding used internally)
– Freya Systems (AI-based energy and sustainability software, Scandinavia)

Sienna
– Sienna AI (computer vision and robotics software used in manufacturing contexts)
– Sienna Technologies (various SaaS and analytics firms globally)

Matilda – Matilda Cloud (cloud analytics and infrastructure intelligence platform)

Millie – Millie (AI customer service chatbot deployed by major UK retailers, notably Hermes/Evri)

Elsie – Elsie AI (AI assistant branding used in healthtech and femtech contexts)

Arabella – Arabella Technologies (data analytics and consultancy in tech-enabled services)

Imogen – Imogen AI (used in medical imaging and diagnostics research projects)

Esme – ESME Intelligence (data-driven education technology analytics)

Leila – Leila AI (mental health and wellbeing technology platforms)

Amelie – Amelie AI (HR and recruitment automation software)

Delilah – Delilah Systems (RFID and retail technology solutions)

Beatrice – Beatrice AI (AI ethics, governance, and explainability tools – emerging field usage)

Edie – Edie.net (UK sustainability, data, and digital reporting platform)

Margot – Margot AI (climate and carbon accounting software)

Orla – Orla AI (voice and conversational AI projects, early-stage)

Genevieve – Genevieve Analytics (data science and modelling consultancy)

Talia – Talia Systems (semantic search, AI knowledge management software)

Priya – Priya AI (healthtech and personalised care systems, name used in multiple regional startups)

Zoya – Zoya AI (ethical investing and fintech analytics platform)

Nadia – Nadia Systems (AI-based accessibility and speech recognition research tools)

Rowan
– Rowan Robotics (robotics and automation systems)
– Rowan Technology Group (enterprise IT services)

Keira – Keira AI (conversational agents and voice technology projects)

Aoife – Aoife Analytics (Irish data science and AI consultancy usage)

Rhea
– Rhea AI (robotics, automation, and industrial AI platforms)
– Rhea Group (engineering and space-tech services)

Camille – Camille AI (AI content moderation and trust-and-safety tooling)

Josephine – Josephine AI (legaltech automation and document intelligence projects)

Payton – Payton Planar Magnetics (high-end electronics and power-tech manufacturer)

Daniela – Daniela AI (medical imaging and diagnostic support systems)

Tessa – TESSA (AI-driven energy optimisation and sustainability software)

Pippa – Pippa.io (analytics and data aggregation SaaS platform)

Tabitha – Tabitha AI (healthcare diagnostics and decision-support research projects)

Robyn – Robyn AI (marketing attribution and analytics platform)

Paula – PAULA AI (legal process automation and case analysis tools)

Sheila – Sheila AI (customer service and HR assistant na
ming used in enterprise pilots)

Isabelle – Isabelle AI (AI research assistants and language-processing projects)

*Ran the above the above names through ChatGPT and asked for a list of tech companies called them*

interesting... Bot girls.... I suppose with the rise in ai chat girlfriends and ai generated video chat girls on the rise, it may be suitable for the lonely bunch into that sort of thing...

 

[NickB]

interesting... Bot girls.... I suppose with the rise in ai chat girlfriends and ai generated video chat girls on the rise, it may be suitable for the lonely bunch into that sort of thing...

And the not so lonely.....couples are getting into the act as well as the bot curious

 

[Eric Lyon]

And the not so lonely.....couples are getting into the act as well as the bot curious

Sounds like what happened to SecondLife a decade or two ago....

 

[ForesightDomains]

I’d add the registration boom should also largely attributed to Amazon’s November 2023 removal of the constraint of requiring an operational bot in order to register .bot domains.

 

[Future Sensors]

Dan.com

 

[Eric Lyon]

Yet another example of how humans and ai assistants sometimes overlook things or make mistakes. (Reported for moderator redaction to maintain accuracy) - thanks for pointing out that oversight

 

[Future Sensors]