Insights

Specialization in Transparent AI Datanomers focuses on transparent and responsible AI/ML solutions, addressing the critical need for compliance and accountability in regulated industries. Opportunities exist to target highly regulated sectors such as finance, healthcare, and legal, where transparency in AI is a regulatory requirement.

Growth & Revenue Potential With a revenue range of 10 to 25 million dollars and a specialized core team, Datanomers presents an expanding market opportunity in the enterprise AI space. Sales efforts can emphasize solutions that enhance automation while ensuring proactive compliance, appealing to mid-sized enterprises seeking reliable AI models.

Unique Selling Proposition EazyML’s ability to make AI transparency actionable and adaptable to business environments differentiates Datanomers from larger competitors. There are prospects for joint ventures or pilots with companies seeking cutting-edge, risk-mitigated AI solutions that align with their operational needs.

Tech Stack Compatibility The company's use of modern technologies like React, Node.js, and progressive web app frameworks indicates its agility and potential for integration with client systems. This opens avenues for sales of customizable AI solutions compatible with diverse enterprise tech infrastructures.

Market Position & Expansion Operating within the IT services and consulting sector and differentiating through responsible AI offerings, Datanomers can expand its footprint by targeting organizations prioritizing transparency and compliance. Partnerships with startups and enterprises investing in AI governance are viable avenues for growth.

EazyML Tech Stack

EazyML uses 8 technology products and services including cdnjs, Open Graph, Cloudflare, and more. Explore EazyML's tech stack below.

  • cdnjs
    Content Delivery Network
  • Open Graph
    Content Management System
  • Cloudflare
    Content Management System
  • PWA
    Miscellaneous
  • Materialize CSS
    UI Frameworks
  • YouTube
    Video Players
  • Express
    Web Frameworks
  • Bluehost
    Web Hosting

Media & News

EazyML's Email Address Formats

EazyML uses at least 2 format(s):
EazyML Email FormatsExamplePercentage
First.Last@datanomers.comJohn.Doe@datanomers.com
100%
First.Last@eazyml.comJohn.Doe@eazyml.com
100%

Frequently Asked Questions

Where is EazyML's headquarters located?

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EazyML's main headquarters is located at New York United States. The company has employees across 2 continents, including North AmericaAsia.

What is EazyML's phone number?

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You can contact EazyML's main corporate office by phone at . For more prospecting data, LeadIQ has access to up-to-date and accurate contact information within our platform. Find, capture, and sync contact data to your CRM and sales tools in one click.

What is EazyML's official website and social media links?

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EazyML's official website is eazyml.com and has social profiles on LinkedIn.

What is EazyML's NAICS code?

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EazyML's NAICS code is 5415 - Computer Systems Design and Related Services.

How many employees does EazyML have currently?

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As of February 2026, EazyML has approximately 33 employees across 2 continents, including North AmericaAsia. Key team members include Board Member: S. K.Advisory Board Datanomers: B. L.Software Engineer 1: A. S.. Explore EazyML's employee directory with LeadIQ.

What industry does EazyML belong to?

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EazyML operates in the IT Services and IT Consulting industry.

What technology does EazyML use?

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EazyML's tech stack includes cdnjsOpen GraphCloudflarePWAMaterialize CSSYouTubeExpressBluehost.

What is EazyML's email format?

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EazyML's email format typically follows the pattern of First.Last@datanomers.com. Find more EazyML email formats with LeadIQ.

EazyML

IT Services and IT ConsultingNew York, United States11-50 Employees

Founded by Bell Labs research veterans, and associated with breakthrough startups like Amelia,  EazyML, specializes in Transparent Machine Learning.. Early on EazyML founders saw the need for Transparency in AI/ML, and their subsequent research led to the widely acclaimed transparent ML platform, EazyML.
Decision-AI digitizes your business process – not only enhances productivity by automation but equally importantly, helps make better decisions for increased profitability. The challenge though, especially for regulated sectors, is how do you ensure its compliance and report it for audit? Transparency in AI/ML is a must. EazyML’s Transparent/Responsible AI provides the solution for proactive compliance, differentiating from competing ML majors by making Transparency Actionable (suggest a way forward to remedy).
 As AI/ML becomes integral to your enterprise, further challenges arise: What if the dynamic business environment causes the model to become stale and misfire? How do you detect it in good time before it adversely impacts your business? What if the experts for a business process disagree with your model’s prediction? How does your model reconcile the difference to earn their trust? Sustainable automation is possible by EazyML’s Transparent AI/ML. 
Do a PoC to evaluate, and if you find it helps your business, make the AI/ML easily align with your process for quick benefits while alleviating risks.

Section iconCompany Overview

Headquarters
New York United States
Phone number
Website
eazyml.com
NAICS Code
5415 - Computer Systems Design and Related Services
Employees
11-50

Section iconMedia & News

Section iconFunding & Financials

  • $10M$25M

    EazyML's revenue is estimated to be in the range of $10M$25M

Section iconFunding & Financials

  • $10M$25M

    EazyML's revenue is estimated to be in the range of $10M$25M

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