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Koya AI

Koya AI Email Formats

Technology, Information and InternetFlag of USCambridge, Massachusetts, United States1-10 Employees

Koya AI Email Formats

Koya AI uses 2 email formats. The most common is {first initial} (e.g., j@getkoya.ai), used 50% of the time.

FormatExamplePercentage
{first initial}
j@getkoya.ai
50%
{first name}
john@getkoya.ai
50%

Key Contact at Koya AI

Flag of US

Andre Mendes

Founder

Company overview

HeadquartersCambridge, Massachusetts, United States
Website
Keywords
Procurement, Ecommerce, Data Science, Marketplaces, Artificial Intelligence, AI, Machine Learning, Data Wrangling, Remote-First
Founded2023
Employees1-10
Socials

About Koya AI

Koya AI’s mission is to organize, simplify, and accelerate commerce by creating the best ecommerce data in the world. Managing product catalog data is complex due to the large number of suppliers and the need for frequent updates. Most sellers and marketplaces handle this manually, resulting in slow, inaccurate, and expensive processes that harm customer experience, reduce sales conversion rates, and increase product returns. Koya AI solves this problem by obtaining, normalizing, and continuously updating product data with the power of Machine Learning, allowing ecommerce players to focus on their core business. We are very proud to be supported by renowned investors such as Caffeinated Capital, Blank Ventures, and FJ Labs, as well as over 20 startup founders (VTEX, Capchase, Finch, Stytch, TruePay, Zippi). Join Koya AI and transform your ecommerce data management. [Português] A missão da Koya AI é organizar, simplificar e acelerar o comércio, criando os melhores dados de ecommerce do mundo. A gestão de dados de catálogo de produtos é complexa devido à grande quantidade de fornecedores e à necessidade de atualizações frequentes. A maioria dos vendedores e marketplaces lida com isso manualmente, resultando em processos lentos, imprecisos e caros, que prejudicam a experiência dos clientes, diminuem as taxas de conversão de vendas e aumentam as devoluções de produtos. A Koya AI resolve esse problema obtendo, normalizando e atualizando continuamente os dados de produtos com o poder do Machine Learning, permitindo que os players de ecommerce se concentrem no seu negócio principal. Temos muito orgulho de sermos apoiados por investidores renomados como Caffeinated Capital, Blank Ventures e FJ Labs, além de mais de 20 fundadores de startups (VTEX, Capchase, Finch, Stytch, TruePay, Zippi). Junte-se à Koya AI e transforme a gestão dos seus dados de ecommerce.

Employees by Management Level

Total employees: 1-10

Seniority

Employees

Entry
Founder/Owner
Manager

Employees by Department

Koya AI has 2 employees across 2 departments.

Departments

Number of employees

Funding Data

Explore Koya AI's funding history, including investment rounds, total capital raised, and key backers.

Funding Date
Round
Amount
Link to Article
2023-05-232$3,000,000

Funding Insights

$3,000,000

Total funding amount

$3,000,000

Most recent funding amount

1

Number of funding rounds

Koya AI Tech Stack

Discover the technologies and tools that power Koya AI's digital infrastructure, from frameworks to analytics platforms.

Google Workspace

Google Workspace

Email

particles.js

particles.js

JavaScript graphics

UIKit

UIKit

UI frameworks

Google Tag Manager

Google Tag Manager

Tag managers

GoDaddy

GoDaddy

Hosting

HTTP/3

HTTP/3

Miscellaneous

HSTS

HSTS

Security

Open Graph

Open Graph

Miscellaneous

React

React

JavaScript frameworks

HubSpot

HubSpot

Marketing automation

Google Analytics

Google Analytics

Analytics

Priority Hints

Priority Hints

Performance

Frequently asked questions

Koya AI is located in Cambridge, Massachusetts, US.
Koya AI was founded in 2023, making it 3 years old. The company has established itself as a significant player in its industry over this time.
Koya AI has approximately 1-10 employees. The company continues to grow its workforce to support its business operations and expansion.
Koya AI has raised a total of $3,000,000 across 1 funding rounds. This investment has helped the company grow and expand its operations.

4.8

40,000 users

top 50
high performer
most used
tier 1 accuracy

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