AugmentAI.com is live and looking to evolve. It has a current focus on ethical AI delivery (ChatGPT moderation, D-ID moderation, AI watermarks), and seeks to expand into emotional intelligence with human intelligence to grow with the platform. Use cases include entertainment to healthcare to industrial. It is a thrilling project which presently delivers OCEAN BIG5 behavioral science, personality traits, and identities. Next steps to include optics, RAG / Vector DB, data accumulation and relationship building with AI.
How Our Project Will Contribute To The Growth Of The Decentralized AI Platform
AugmentAI.com has been evolving with ethics and IP moderation from inception by integrating with top tier services (D-ID, ChatGPT, and our own watermark tech). Next steps are to evolve emotional intelligence, human intelligence, to bring the relationship of AI and its Human closer together, delivering a high value. I believe this is fully in line with BGI's mission statement. In conjunction with these efforts, evaluation & integration of SingularityNET to broaden our platform offerings.
Our Team
Jonathan Lecht - Owner, NetzOptimize Inc. - Development, Prompt Engineer Consultant, Full Stack Developer Consultant, Discord "Yannic Kilcher Channel" for after white paper discussions (no direct affiliation - but insights gathered).
AI services (New or Existing)
AugmentAI
Type
New AI service
Purpose
Improving your relationship with AI.
AI inputs
Deep learning interactive AI avatars.
AI outputs
Fluid streaming (future) interactive/actionable/trainable & MP4/MP3/Text captures to a personal shareable library.
Company Name (if applicable)
AugmentAI LLC
The core problem we are aiming to solve
Today’s AI solutions lack real-time adaptability, emotional intelligence, and deep integration.
Reliance exists on disconnected tools for personality-driven AI, audio, video, and chatbot Interactions.
Individual utility and ability to express are often limited in scope. People need to have more intuitive control of their augmentation of AI.
📉 The result?
Poor customer experiences limits engagement and retention.
High operational costs from manual customer support and inefficient automation.
Slow AI adoption due to technical complexity and lack of deep application integration.
AI doesn't engage the person/business with needed meaningful context.
Our specific solution to this problem
✅ Emotional Intelligence – AI that understands tone, sentiment, and intent.
✅ Facial Recognition – Advanced human-AI interaction with real-time
adaptability.
✅ Deep Application Integration – AI that seamlessly connects with services & tools.
✅ Customer API Access & Customization – Empowering businesses with tailored AI solutions.
.AugmentAI.com: Evolving to Redefine AI-Driven Interaction with DeepFunding Support
At AugmentAI.com, we are on a mission to evolve into the go-to platform for AI-driven human interaction, where digital avatars and autonomous AI agents seamlessly integrate into everyday life. To truly live up to our name, we must provide the quintessential tools that individuals and businesses need to augment their digital presence, enhance productivity, and create more engaging, intelligent interactions.
The Need for a More Advanced AI-Powered Future
The digital world is shifting toward AI that doesn’t just respond but actively understands, adapts, and executes complex tasks. However, today’s AI solutions lack real-time adaptability, emotional intelligence, and deep integration, leaving businesses and individuals struggling to scale and personalize AI-driven engagement.
AugmentAI.com aspires to fill this gap, developing AI avatars and autonomous AI agents that don’t just replicate human interaction but elevate it. With SingularityNET’s DeepFunding support, we can accelerate our evolution into an essential AI platform that redefines digital engagement.
A Future-Ready Market with Limitless Potential
Projected $270B AI Conversational & Agentic AI Market by 2030 (CAGR 49.8%).
$125B+ Digital Human Economy by 2035, where AI avatars and AI-powered assistants will be integral.
Positioning to lead in personality-driven AI avatars, enterprise automation, and intelligent conversational agents.
Our Vision: AI That Feels, Learns, and Acts
To truly augment human-AI interactions, we are working toward a next-generation AI ecosystem that blends behavioral intelligence, multi-modal engagement, and real-time adaptability, including:
Behavioral Science-Driven Personalization (OCEAN BIG5) for dynamic, adaptive AI interactions.
Emotionally Intelligent AI capable of recognizing sentiment, tone, and intent.
Seamless Multi-Modal AI Engagement (text, voice, and video).
Enterprise & API Expansion, ensuring businesses have scalable AI integration solutions.
AI Avatars with Decision-Making Abilities, going beyond simple chatbots to intelligent virtual assistants.
Path to Growth: Scalable, Intelligent AI for All
Our journey to becoming a true augmentation platform means developing revenue models that support broad AI adoption:
AI SaaS & API Licensing for businesses and individuals to integrate AI-powered avatars.
Enterprise AI Licensing for digital workforce augmentation.
White-Label AI Solutions, empowering brands with customized AI engagement.
AI-driven Content Monetization, including digital assets and premium AI experiences.
Why DeepFunding Support is Crucial
To become what AugmentAI.com is meant to be, we need to push forward in key areas:
Advancing real-time conversational streaming AI for a more fluid and immersive user experience.
Enhancing emotional intelligence & sentiment analysis, ensuring AI adapts to human emotions.
Expanding API capabilities, allowing businesses to integrate AI-driven automation at scale.
By securing SingularityNET’s DeepFunding support, we can take the next step toward building an AI-driven augmentation ecosystem that empowers businesses and individuals alike.
Conclusion
AugmentAI.com aspires to be more than just another AI platform—we aim to be a foundation for the next evolution of digital human interaction. With the right support, we can transform into an AI augmentation powerhouse that individuals and businesses need, ensuring AI is not just a tool—but a true extension of human intelligence.
Needed resources
The funding round will help with next steps in the technology stack, and I see the need for high level AI technologists / consultants. While we have great coding resources, I believe guidance from experts (both coding and infrastructure) can / will play a role in evolving the site's offerings.
Existing resources
Everything in place on AugmentAI.com is technically sourced and provisioned. It is a live site.
You could break down the milestone further, add specific timelines and detail how you'll measure success beyond just "immersive avatars." More clarity on each deliverable will help ensure smooth execution and better tracking of progress. All the best.
Hi Sky Yap, Thank you for your feedback. To clarify, I'm thinking your response is speaking to the big picture of what we plan to accomplish, described in some detail our submission (project details). Regarding the specifics of this funding's scope, from my perspective it would be "infrastructure & UX" expansion: Next steps to include integration of SingularityNET, optics, RAG / Vector DB, data accumulation (ethically sourced). Also, sentiment analysis, emotional intelligence, and relationship building with AI, these being more subjective in results. Should this project be awarded funding, these steps can be measured using individual milestones, marked with the clear deliverables listed above. They will move forward the objective of personified AI avatar relationship building (for the user & AI - under their guidance - real or fictional). SingularityNET would bring a new level of "AI" to AugmentAI.com, enabling next steps in the big picture.
Expert Ratings
Reviews & Ratings
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Reviews and Ratings in Deep Funding are structured in 4 categories. This will ensure that the reviewer takes all these perspectives into account in their assessment and it will make it easier to compare different projects on their strengths and weaknesses.
Overall (Primary) This is an average of the 4 perspectives. At the start of this new process, we are assigning an equal weight to all categories, but over time we might change this and make some categories more important than others in the overall score. (This may even be done retroactively).
Feasibility (secondary)
This represents the user's assessment of whether the proposed project is theoretically possible and if it is deemed feasible. E.g. A proposal for nuclear fission might be theoretically possible, but it doesn’t look very feasible in the context of Deep Funding.
Viability (secondary)
This category is somewhat similar to Feasibility, but it interprets the feasibility against factors such as the size and experience of the team, the budget requested, and the estimated timelines. We could frame this as: “What is your level of confidence that this team will be able to complete this project and its milestones in a reasonable time, and successfully deploy it?”
Examples:
A proposal that promises the development of a personal assistant that outperforms existing solutions might be feasible, but if there is no AI expertise in the team the viability rating might be low.
A proposal that promises a new Carbon Emission Compensation scheme might be technically feasible, but the viability could be estimated low due to challenges around market penetration and widespread adoption.
Desirability (secondary)
Even if the project team succeeds in creating a product, there is the question of market fit. Is this a project that fulfills an actual need? Is there a lot of competition already? Are the USPs of the project sufficient to make a difference?
Example:
Creating a translation service from, say Spanish to English might be possible, but it's questionable if such a service would be able to get a significant share of the market
Usefulness (secondary)
This is a crucial category that aligns with the main goal of the Deep Funding program. The question to be asked here is: “To what extent will this proposal help to grow the Decentralized AI Platform?”
For proposals that develop or utilize an AI service on the platform, the question could be “How many API calls do we expect it to generate” (and how important / high-valued are these calls?).
For a marketing proposal, the question could be “How large and well-aligned is the target audience?” Another question is related to how the budget is spent. Are the funds mainly used for value creation for the platform or on other things?
Examples:
A metaverse project that spends 95% of its budget on the development of the game and only 5 % on the development of an AI service for the platform might expect a low ‘usefulness’ rating here.
A marketing proposal that creates t-shirts for a local high school, would get a lower ‘usefulness’ rating than a marketing proposal that has a viable plan for targeting highly esteemed universities in a scaleable way.
An AI service that is fully dedicated to a single product, does not take advantage of the purpose of the platform. When the same service would be offered and useful for other parties, this should increase the ‘usefulness’ rating.
About Expert Reviews
Reviews and Ratings in Deep Funding are structured in 4 categories. This will ensure that the reviewer takes all these perspectives into account in their assessment and it will make it easier to compare different projects on their strengths and weaknesses.
Overall (Primary) This is an average of the 4 perspectives. At the start of this new process, we are assigning an equal weight to all categories, but over time we might change this and make some categories more important than others in the overall score. (This may even be done retroactively).
Feasibility (secondary)
This represents the user\'s assessment of whether the proposed project is theoretically possible and if it is deemed feasible. E.g. A proposal for nuclear fission might be theoretically possible, but it doesn’t look very feasible in the context of Deep Funding.
Viability (secondary)
This category is somewhat similar to Feasibility, but it interprets the feasibility against factors such as the size and experience of the team, the budget requested, and the estimated timelines. We could frame this as: “What is your level of confidence that this team will be able to complete this project and its milestones in a reasonable time, and successfully deploy it?”
Examples:
A proposal that promises the development of a personal assistant that outperforms existing solutions might be feasible, but if there is no AI expertise in the team the viability rating might be low.
A proposal that promises a new Carbon Emission Compensation scheme might be technically feasible, but the viability could be estimated low due to challenges around market penetration and widespread adoption.
Desirability (secondary)
Even if the project team succeeds in creating a product, there is the question of market fit. Is this a project that fulfills an actual need? Is there a lot of competition already? Are the USPs of the project sufficient to make a difference?
Example:
Creating a translation service from, say Spanish to English might be possible, but it\'s questionable if such a service would be able to get a significant share of the market
Usefulness (secondary)
This is a crucial category that aligns with the main goal of the Deep Funding program. The question to be asked here is: “To what extent will this proposal help to grow the Decentralized AI Platform?”
For proposals that develop or utilize an AI service on the platform, the question could be “How many API calls do we expect it to generate” (and how important / high-valued are these calls?).
For a marketing proposal, the question could be “How large and well-aligned is the target audience?” Another question is related to how the budget is spent. Are the funds mainly used for value creation for the platform or on other things?
Examples:
A metaverse project that spends 95% of its budget on the development of the game and only 5 % on the development of an AI service for the platform might expect a low ‘usefulness’ rating here.
A marketing proposal that creates t-shirts for a local high school, would get a lower ‘usefulness’ rating than a marketing proposal that has a viable plan for targeting highly esteemed universities in a scaleable way.
An AI service that is fully dedicated to a single product, does not take advantage of the purpose of the platform. When the same service would be offered and useful for other parties, this should increase the ‘usefulness’ rating.
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Reviews & Ratings
Sky Yap
Mar 9, 2025 | 12:35 PMEdit Comment
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You could break down the milestone further, add specific timelines and detail how you'll measure success beyond just "immersive avatars." More clarity on each deliverable will help ensure smooth execution and better tracking of progress. All the best.
AugmentAI
Project Owner Mar 9, 2025 | 2:04 PMEdit Comment
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Hi Sky Yap, Thank you for your feedback. To clarify, I'm thinking your response is speaking to the big picture of what we plan to accomplish, described in some detail our submission (project details). Regarding the specifics of this funding's scope, from my perspective it would be "infrastructure & UX" expansion: Next steps to include integration of SingularityNET, optics, RAG / Vector DB, data accumulation (ethically sourced). Also, sentiment analysis, emotional intelligence, and relationship building with AI, these being more subjective in results. Should this project be awarded funding, these steps can be measured using individual milestones, marked with the clear deliverables listed above. They will move forward the objective of personified AI avatar relationship building (for the user & AI - under their guidance - real or fictional). SingularityNET would bring a new level of "AI" to AugmentAI.com, enabling next steps in the big picture.