The "last mile" in AI refers to the final, intricate steps of a complex task where general AI agents often fail. HELP Research tackles this challenge by developing highly specialized Vision-Language Models designed to automate these difficult final elements. HELP employs a strategy known as "AI information arbitrage," adapted from private equity. This involves identifying industries with valuable but fragmented data and processes, then centralizing that data to train superior, specialized AI models with unique insights. This creates a self-reinforcing "flywheel" where the AI drives operational efficiencies and improves service quality, while the growing data pool continuously refines the AI's capabilities. The model allows us to consolidate and monetize markets by leveraging unique data advantages. By initially focusing on a niche like Fortnite, we curate a specific dataset to train our models for precise tasks, such as event tagging, which can then be scaled for broader applications.
Decentralised VLM Automation
Orchestrating Next-Gen Vision Technology
Gaming agent
Harnessing VLM to Spotlight Epic Gaming Moments via Deeper Video Insights
Video agent
Converting Long YouTube Videos and Podcasts into Bite-Sized Shorts
Robotics
Transforming Robots with Intelligent Visual Perception
Pitch your agent
Connect with Our DAO to Share and Collaborate on your Automations
Frequently Asked Questions
What is the "last mile" problem and how does HELP address it?
What is HELP Studio and what are its key features?
HELP Studio is our flagship product: an automated content creation pipeline for short-form video creators. It uses a sophisticated vision-language stack to automate the most time-consuming parts of video editing. Key features include:
- Automatic tagging of in-game events (like eliminations).
- Intelligent video segmentation
- Dynamic reframing for vertical formats.
- Application of meme-text overlays.
The platform functions as a "viral assembly line," processing large clip libraries and using a "magic optimizer" to assemble engaging 60-second montages based on engagement potential."
How does HELP revolutionize content repurposing?
HELP focuses on video agents that automatically ingest, analyze, and enhance raw footage, making it ideal for creators on fast-paced platforms like TikTok and YouTube Shorts, where speed and rhythm are critical. HELP's video agents transform long-form content into engaging, high-retention short-form videos.
How is the HELP Foundation structured and funded?
At its core, HELP is a research foundation structured as a Decentralized Autonomous Organization (DAO), governed by its community members. The foundation is self-funded through revenue generated from its products, such as Fortnite islands and HELP Studio subscriptions. All profits are reinvested back into the ecosystem to fuel growth, innovation, and community rewards, ensuring a sustainable and self-sufficient operational model.
What are the project's tokenomics?
The HELP tokenomics are designed to align the incentives of all participants and drive value back to the community. Key elements include:
- Revenue distribution to token holders via DAO votes.
- Reserves to ensure long-term stability and funding for future projects.
What is the development roadmap for HELP?
The roadmap is structured in two strategic phases:
- Phase One: Launch and refine the Fortnite HELP Studio, dominating a complex niche to prove the technology and build a strong user base.
- Phase Two: Expand to broader markets with the launch of the "YouTube Video Shortener," an agent that adapts our core technology to automatically convert long-form videos into engaging short-form content for the mainstream creator economy.