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Nodat

Unleash the Power of AI for Game-Changing Local Search

Last Funded August 2023

$43,600

raised from 34 investors

Highlights

1
One of 25 founders selected for Amazon’s Inaugural AWS Impact Accelerator for Black founders.
2
Secured Letter of Intent valued at $1.1M in sales and $4M sales pipeline.
3
We are a personalized AI local search app that puts relevant info at your fingertips.
4
Trusted interaction with technology creates better customer experiences.

Our Team

Co-founder, CEO
Aireka is a high-scale loyalty expert with a decade of experience with AT&T Loyalty Organization where she was tapped to work on the American Express Plenti Loyalty Program that grew 50M subscribers.
After realizing how hard it was to find relevant information in my local area without sharing my data, I became a business owner. I decided to create a safer platform that puts privacy and relevancy first by allowing consumers to voluntarily share their data and opt-in to connect and engage with more relevant local information on their phones.
Vivek DharmaniLead Developer for iOS & Android
Vivek has 11+ years as a software developer and consultant specializing in helping communities and councils with viral mobile applications. He graduated with Honors in Software Engineering and has worked with companies in the US, UK, Europe.
Operations Strategist
Courtenay is an operations and technology executive with over a decade of experience leading brand-building efforts for organizations across multiple industries. She provides underestimated small business owners with operational tools to scale.

Unleash the Power of AI for Game-Changing Local Search

Leveraging AI & Personalization to Simplify Local Search and Data Sharing Control

Nodat provides personalized searches tailored to your interests, needs, and lifestyle. Say goodbye to generic search results and endless scrolling. Opt-in or opt-out of data sharing and targeting to make the experience truly yours.



Local Search Inefficiency

Information Overload, irrelevant search results, and manual searching can leave users frustrated and disconnected from their local community. 

Local search inefficiency occurs when users cannot find relevant information due to too much data, irrelevant search results, and manual searching. Marketers paying for keywords worsens the problem. This leads to frustrated users giving up, which leads to negative effects on local businesses revenue and visibility.

Introducing... SAVANT - Personalized Local Search


Our Competition and How We Beat Them


Revenue Model





Future Benefits

We’re attracting the best customers by addressing their problems and concerns:

  • They are worried about their privacy
  • They are not prioritized in an advertising-first landscape
  • They rely on search engines that give them the least viable and actionable results

For businesses, Groupon, Google Maps, Yelp, TapMango, and other similar platforms are complicated, ineffective, and expensive because of small businesses:

  • Can't retarget customers that find them.
  • They spend more on advertising and discounts than they earn in new revenue.
  • Don't see an increase in foot traffic.
  • Aren't showing up in the Google Local Pack or the on the first page of the search.

    *Forward-looking projections can't be guaranteed.



    Overview