About Promoted.ai

Promoted combines generative AI and traditional machine learning to enhance search relevance and ad performance in online marketplaces. This technology improves conversion rates by over 10% by ensuring users find relevant products and services efficiently.

```xml <problem> Online marketplaces often struggle with irrelevant search results and poorly performing advertisements, leading to decreased user engagement and lost revenue opportunities. Existing search and ad ranking algorithms fail to adequately match users with the most relevant products or services, resulting in lower conversion rates. </problem> <solution> Promoted provides an AI-powered relevance engine that combines generative AI with traditional machine learning to improve search, discovery, and ad performance for online marketplaces. The platform enhances search result relevance and ad quality, ensuring users efficiently find desired items. By unifying search and ad ranking, Promoted delivers a consistent and optimized user experience, leading to increased conversion rates and revenue. The technology is designed to be scalable and can be deployed in cloud, self-hosted, or shared-source open-core environments. </solution> <features> - Hybrid AI approach combining generative LLMs with traditional machine learning techniques - Unified platform for search, discovery, and native advertising ranking - Real-time optimization of search results and ad placements based on user behavior - Open-core architecture allowing for customization and in-house development - Multi-cloud and multi-region deployment options (AWS, GCP) for high availability and scalability - Client libraries for iOS, Android, React Native, Ruby, and .NET - Integration with Snowplow for event logging </features> <target_audience> The primary target audience includes engineering leaders and product managers at online marketplaces, e-commerce platforms, and other businesses that rely on search and advertising to connect users with products or services. </target_audience> <revenue_model> Promoted offers cloud, self-hosted, and shared source open core licensing options. </revenue_model> ```

What does Promoted.ai do?

Where is Promoted.ai located?

Promoted.ai is based in San Francisco, United States.

When was Promoted.ai founded?

Promoted.ai was founded in 2020.

How much funding has Promoted.ai raised?

Promoted.ai has raised 8000000.

Location

San Francisco, United States

Founded

2020

Funding

8000000

Employees

11 employees

Major Investors

Y Combinator, Rebel Fund, SAV (Scale Asia Ventures), Vela Partners, Preetha Parthasarathy

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Promoted.ai

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Executive Summary

promoted.ai 1K+

Crunchbase

Founded 2020 – San Francisco, United States

Funding

Estimated Funding

$5M+

Major Investors

Y Combinator, Rebel Fund, SAV (Scale Asia Ventures), Vela Partners, Preetha Parthasarathy

Team (10+)

No team information available.

Company Description

Problem

Online marketplaces often struggle with irrelevant search results and poorly performing advertisements, leading to decreased user engagement and lost revenue opportunities. Existing search and ad ranking algorithms fail to adequately match users with the most relevant products or services, resulting in lower conversion rates.

Solution

Promoted provides an AI-powered relevance engine that combines generative AI with traditional machine learning to improve search, discovery, and ad performance for online marketplaces. The platform enhances search result relevance and ad quality, ensuring users efficiently find desired items. By unifying search and ad ranking, Promoted delivers a consistent and optimized user experience, leading to increased conversion rates and revenue. The technology is designed to be scalable and can be deployed in cloud, self-hosted, or shared-source open-core environments.

Features

Hybrid AI approach combining generative LLMs with traditional machine learning techniques

Unified platform for search, discovery, and native advertising ranking

Real-time optimization of search results and ad placements based on user behavior

Open-core architecture allowing for customization and in-house development

Multi-cloud and multi-region deployment options (AWS, GCP) for high availability and scalability

Client libraries for iOS, Android, React Native, Ruby, and .NET

Integration with Snowplow for event logging

Target Audience

The primary target audience includes engineering leaders and product managers at online marketplaces, e-commerce platforms, and other businesses that rely on search and advertising to connect users with products or services.

Revenue Model

Promoted offers cloud, self-hosted, and shared source open core licensing options.