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Etherea||

Emerging Technology Pipeline

Etherea|| is STA's innovation engine for emerging technology sectors, where we develop prototype products and validate their commercial potential. We don't just research—we build, test, and bring breakthrough technologies to market through strategic partnerships and exit strategies.

Our systematic approach takes promising technologies from concept to commercialization, serving venture capital firms, tech startups, and corporate innovation teams who need validated, market-ready solutions.

Our Approach

Prototype Development

Small-scale tech prototypes developed rapidly using agile methodologies and cutting-edge technology stacks.

Market Fit Testing

Comprehensive pilot programs with real users to validate product-market fit and refine commercial viability.

Strategic Exit

Multiple monetization paths including product sales, IP licensing, and equity partnerships with strategic investors.

Target Partners

Venture Capital

Portfolio-ready technologies with validated market potential and clear commercial pathways.

Tech Startups

Proven prototypes available for licensing or acquisition to accelerate product development.

Corporate Innovation

Emerging tech solutions ready for integration into existing enterprise environments.

Commercialization Strategy

Every prototype in our pipeline is designed with multiple exit strategies: direct product sales for immediate market entry, IP licensing for strategic partnerships, and equity arrangements for joint ventures. We de-risk innovation by validating commercial viability before scaling.

Product Sales
Ready-to-deploy solutions
IP Licensing
Strategic technology partnerships
Joint Ventures
Equity-based collaborations

Featured Open Source Projects

Showcasing our innovation in action—real-world prototypes demonstrating emerging technology integration and commercial viability.

PublicMCP

TypeScript

Model Context Protocol (MCP) server for automating government services. List of capabilities include checking fire danger levels and applying for burn permits in Maine. Built with TypeScript, this project demonstrates real-world integration of emerging AI protocol standards with government services.

Fire Danger Assessment

Real-time fire danger level monitoring using environmental data

Burn Permit Applications

Streamlined permit application process for Maine residents

MCP Protocol Integration

Early adoption of Model Context Protocol for AI-enhanced services

View on GitHub

Autopod

JavaScript

CLI tool and npm module for combining video clips into podcasts with smooth transitions. Streamlines podcast production workflows by automating the tedious process of stitching together video segments, making it easy to produce professional-looking content.

Video Clip Combining

Seamlessly merge multiple video clips into a single cohesive podcast

Smooth Transitions

Automatic transition effects between clips for professional results

npm Module

Use as CLI tool or integrate programmatically into your workflow

View on GitHub

AudioViz

JavaScript

Real-time audio visualization web app designed for OBS Browser Source integration. Creates beautiful circle-based animations that respond to microphone input or audio files, with extensive customization through URL parameters.

Real-time Visualization

Dynamic circle animations responding to audio frequency data

OBS Integration

Optimized for use as OBS Browser Source with transparent background

Flexible Audio Input

Support for microphone input and local or remote audio files

View on GitHub