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Litepaper
Glades transforms how artificial intelligence is created and understood. Our platform empowers developers to create and implement sophisticated AI models while retaining ownership of their intellectual property. By providing enterprise-grade AI development tools and infrastructure, we enable organizations of all sizes to harness the power of artificial intelligence for their unique needs.
We've created an ecosystem where developing AI has become easy and rewarding. Whether you're collaborating with colleagues on machine learning algorithms or using our gamified system to train models, Glades provides the infrastructure to make AI development profitable. Our platform integrates seamlessly across multiple channels - from standard programming languages like C++ and Python to popular platforms like Discord and Telegram, enabling widespread deployment and usability.
The future of AI should be open to all. Through the Glades marketplace, anyone can share, license, or even sell their models. We're building more than a platform - we're creating a community where technological innovation is rewarded and creators maintain control of their intellectual property.
Glades is a technological research company focused on artificial intelligence development and gaming. While most current AI solutions rely on secret models with secret inputs or repackaged implementations, you can develop your own models designed for your specific needs. Our solutions can be applied to everything from manufacturing optimization to scientific research to video games.
We believe in open-source development and provide free products and services that users can implement. Our platform enables anyone to create custom AI models from scratch, with full control over the training process. Users can run these models locally on their own hardware, ensuring their data and intellectual property remain private and secure.
Glades gives developers and AI creators the freedom to build sophisticated tools without compromise. From processing complex datasets to developing automated systems, our platform provides the foundation for independent AI development while keeping creators in control of their innovations.
Robert Caneiro brings nearly two decades of programming expertise to Glades, beginning with MIPS subroutines before mastering C and C++. His passion for mathematics and finance led him to develop sophisticated stock analysis systems, which evolved into the foundation of the Glades engine. After serving as a software engineer at FactSet where he worked on their screening engine, Robert transitioned to DeFi full-time and now dedicates his efforts entirely to advancing the Glades project.
Daniel Brewster combines ten years of investment experience in stocks and commodities with strong quantitative research skills and Python programming knowledge. His recent focus on artificial intelligence and neural networks allows him to bridge the gap between traditional investment strategies and emerging AI technologies. Daniel's ongoing exploration of AI applications in financial markets brings valuable insights to the project's development.
Matthew Carlson's eight years of software development experience spans machine-oriented programming and virtual reality game development. His proficiency in C++, Go, Python, and web development has been instrumental in building the Glades Engine infrastructure. Matthew applies his expertise in game theory and practical applications to create innovative tools for stock and crypto ecosystems, helping shape the future of financial technology.
At the core of Glades lies our implementation of Deep Learning through Feed Forward Neural Networks. These neural networks form the foundation of many modern AI systems including large language models. We provide the ability to create, customize, and run your own neural networks locally on your computer. In addition, we supply various regularization and generalization techniques whilst also supplying unique visualizations of the Neural Networks.
Our technology stack is built on three primary open-source C++ libraries: ShmeaDB, Glades, and GFXplusplus. These libraries are designed with minimal dependencies to ensure maximum portability and efficiency. This architecture allows our system to run seamlessly on both 32-bit and 64-bit environments, giving users the flexibility to deploy models locally on their own hardware.
The Glades engine processes complex data through sophisticated neural network analysis. Users can access our technology through multiple channels to suit their needs:
- Direct integration with our open-source C++ libraries
- Web API access for remote deployments
- Communication platform bots for on-the-go interaction
- Planned web interface for working with personal datasets
Our current free public demo provides access to our basic AI features and analysis tools. Future development will introduce both free and premium tiers, expanding the platform's capabilities while maintaining accessibility for all users. The upcoming web interface will simplify the process of training models on personal datasets, further democratizing access to sophisticated AI technology.
- Verification and listing fees for new models on our marketplace
- Tiered enterprise subscription models for specialized tools, advanced features, cloud computing, and customer support
- API subscriptions for automated systems and analysis services
- Seat-based pricing for team collaboration tools
- Commission fees on model sales through our exchange
- Strategic partnerships with technology providers
- Enterprise licensing for custom implementations
During our growth phase, we are prioritizing reinvestment of revenue into key areas:
- Expanding our development team
- Strategic marketing initiatives
- Platform enhancement and feature development
- Market expansion and user acquisition
Our long-term strategy focuses on increasing stakeholder value through:
- Continuous platform development (as is historically shown)
- Establishing early presence in the VR market and also the AI market
- Ownership of various in-house made models
- Strategic partnerships
- Technology advancement and innovation
- More features accessible via the Web API
- More datasets (crypto, stocks, sports, etc)
- Web interface to upload and manage personal datasets
- Exchange to earn money trading AI models
- Unique AI algorithms and models developed by our research team
Our development roadmap focuses on expanding capabilities across multiple domains:
- Computer Vision and Image Processing
- Natural Language Understanding
- Time Series Analysis
- Pattern Recognition
- Predictive Modeling
- And More!
The Glades platform serves as a foundation for the AI economy, enabling:
- Access to advanced AI capabilities
- Participation in marketplace model royalties
- Play2Train™ your models
- Collaborative development opportunities
- Community-driven innovation
We maintain a straightforward approach to platform growth:
- Regular feature updates and improvements
- Community-driven development priorities
- Open-source libraries
- Continuous integration of emerging technologies
Our focus remains on building sustainable value through:
- Continuous development of AI capabilities
- Regular platform improvements
- Community and User feedback
- Strategic partnerships
- Integration throughout growing ecosystems
The $GLDS token powers the Glades Economy, creating an ecosystem and community where developers can build models, participate in training, and earn rewards for their efforts. This incentivizes both innovation and active participation in our platform's growth.
- Total Supply: 1,000,000,000 GLDS
Our token allocation is structured to ensure fair distribution while maintaining resources for growth:
- Public Distribution: 800,000,000 GLDS (80%)
- Team Allocation: 100,000,000 GLDS (10%)
- Partnership Reserve: 50,000,000 GLDS (5%)
- Exchange Listings: 50,000,000 GLDS (5%)
The GLDS token serves as the foundation of our AI economy, enabling:
- Token holders benefit from revenue-driven buybacks, creating sustained buy pressure.
- Future staking rewards with enhanced platform capabilities.
We maintain a straightforward approach to token economics:
- Purchase taxes directly support business operations and development
- Business profits fund token buybacks and burns, reducing supply over time
- Staking mechanisms will be introduced to reward long-term holders with additional platform benefits
Our focus remains on building sustainable value through:
- Continuous development of AI capabilities
- Regular token buybacks from business revenue
- Strategic burns to manage token supply
- Integration of the token throughout our growing ecosystem