ScreenGeni.us Company Profile

Background

Overview

ScreenGeni.us, founded in 2023, is a New York-based technology startup specializing in generative AI (GenAI) solutions aimed at enhancing consumer decision-making in the streaming content landscape. The company focuses on simplifying the process of discovering and selecting content across news, entertainment, and sports platforms. By leveraging advanced AI technologies, ScreenGeni.us seeks to alleviate the common challenges consumers face when navigating the vast array of streaming options available today.

Mission and Vision

The mission of ScreenGeni.us is to empower consumers with intelligent tools that streamline content discovery, making the process more personalized and efficient. The company's vision is to become a leading provider of AI-driven solutions that transform how individuals engage with digital media, fostering a more enjoyable and less stressful viewing experience.

Industry Significance

In an era where streaming services proliferate and content choices are abundant, ScreenGeni.us addresses a critical need for effective content curation. By integrating GenAI technologies, the company positions itself at the forefront of the intersection between artificial intelligence and digital media consumption, offering innovative solutions that enhance user engagement and satisfaction.

Key Strategic Focus

Core Objectives

Personalized Content Discovery: Develop AI algorithms that understand individual user preferences to recommend tailored content.

User Engagement Enhancement: Create intuitive interfaces that facilitate seamless interaction between users and streaming platforms.

Market Expansion: Extend the reach of ScreenGeni.us's solutions across various regions, including the U.S., Europe, and Canada.

Areas of Specialization

Generative AI Applications: Utilize advanced machine learning models to generate content recommendations.

Streaming Content Analytics: Analyze viewing patterns to inform recommendation strategies.

User Experience Optimization: Design user-centric interfaces that enhance content discovery and selection.

Key Technologies Utilized

Natural Language Processing (NLP): To interpret and process user queries and preferences.

Machine Learning Algorithms: For predictive analytics and personalized content suggestions.

Data Analytics Platforms: To analyze large datasets of streaming content and user interactions.

Primary Markets Targeted

Consumers: Individuals seeking efficient and personalized content discovery across streaming platforms.

Streaming Service Providers: Companies looking to enhance user engagement through improved content recommendations.

Advertising Networks: Organizations aiming to deliver targeted content to specific audience segments.

Financials and Funding

Funding History

ScreenGeni.us has secured initial investments from several U.S. limited partners. The company is currently focused on expanding its presence in the U.S., European, and Canadian markets. Specific details regarding total funds raised and recent funding rounds are not publicly disclosed.

Notable Investors

While the company has received support from various investors, specific names are not publicly available.

Utilization of Capital

The capital raised is intended to:

Product Development: Enhance the GenAI-powered recommendation engine.

Market Expansion: Increase the company's footprint in target regions.

Operational Scaling: Support the growth of the team and infrastructure to meet market demands.

Pipeline Development

Key Pipeline Candidates

ScreenGeni.us is in the process of developing its GenAI-powered recommendation engine, which is central to its product offering. The company is also exploring the development of a B2C application to directly engage consumers.

Stages of Development

Recommendation Engine: Currently in the development phase, with integration into partner platforms underway.

B2C Application: In the conceptualization stage, with plans for future development.

Target Conditions

The primary focus is on enhancing content discovery and decision-making processes for consumers across various streaming platforms.

Anticipated Milestones

Recommendation Engine Integration: Expected to be operational within the next 12 months.

B2C Application Launch: Projected for development in the subsequent 18-24 months.

Technological Platform and Innovation

Proprietary Technologies

GenAI Recommendation Engine: An AI-driven system designed to analyze user preferences and provide personalized content suggestions.

Significant Scientific Methods

Predictive Analytics: Utilized to forecast user preferences and content trends.

Natural Language Processing (NLP): Employed to interpret and process user inputs for accurate recommendations.

AI-Driven Capabilities

Real-Time Content Analysis: Enables the system to process and recommend content in real-time based on user interactions.

Adaptive Learning: Allows the recommendation engine to continuously improve its suggestions by learning from user feedback and behavior.

Leadership Team

Daniel Sieberg – Founder and CEO

Daniel Sieberg brings over 20 years of experience in media, technology, and strategic communications. His previous roles include senior positions at Google, Huawei USA, Moody's Analytics, CBS News, CNN, and ABC News. Sieberg is also an Emmy-nominated journalist and the author of "The Digital Diet." He co-founded Civil Media Company, focusing on sustainable journalism through blockchain technology.

Wayne Webb – Chief Technology Officer

Wayne Webb is an entrepreneurial engineer with experience ranging from startups to enterprise-level organizations. He has a strong background in media and technology, contributing to the development and scaling of innovative solutions.

Nancy Han – Chief Operating Officer

Nancy Han has a background in operations and management, with experience in scaling technology companies. She plays a pivotal role in overseeing daily operations and ensuring the efficient execution of the company's strategic initiatives.

Leadership Changes

As of March 2026, there have been no publicly disclosed significant changes or appointments within the company's leadership team.

Competitor Profile

Market Insights and Dynamics

The streaming industry continues to experience rapid growth, with an increasing number of platforms and content options available to consumers. This expansion has led to challenges in content discovery, creating opportunities for companies like ScreenGeni.us to offer innovative solutions.

Competitor Analysis

While specific competitors are not publicly disclosed, companies operating in the AI-driven content recommendation space are potential competitors. These companies focus on enhancing user engagement through personalized content suggestions and may offer similar solutions to ScreenGeni.us.

Strategic Collaborations and Partnerships

Swipefinder AB

In September 2024, ScreenGeni.us announced a significant partnership with Stockholm-based Swipefinder AB. The agreement involves licensing ScreenGeni.us's recommendation engine to integrate into Swipefinder's ad-tech platform, aiming to assist consumers in making informed viewing decisions. This collaboration marks ScreenGeni.us's first major B2B arrangement and demonstrates the practical application of its GenAI technology in the streaming ecosystem.

Operational Insights

Strategic Considerations

ScreenGeni.us operates in a competitive landscape, with numerous companies offering content recommendation services. The company's focus on GenAI technology and personalized user experiences differentiates it from competitors. By forming strategic partnerships, such as the one with Swipefinder AB, ScreenGeni.us aims to expand its market presence and enhance its service offerings.

Strategic Opportunities and Future Directions

Product Development

The development of the B2C application presents an opportunity to directly engage consumers, providing them with personalized content recommendations and enhancing user satisfaction.

Market Expansion

By leveraging partnerships and expanding into new regions, ScreenGeni.us can increase its user base and establish a stronger presence in the global market.

Technological Advancements

Continued investment in AI and machine learning technologies will enable ScreenGeni.us to refine its recommendation engine, offering more accurate and personalized content suggestions to users.