Our Solution
Last updated
Last updated
Currently, user-focused issues in AI agentic era are often deprioritized, largely because the financial incentives for companies outweigh immediate resolutions.
This creates an "opportunity" to develop AI infrastructures that prioritize individual needs.
Based on this idea, we created Skillful AI on the foundational pillars of - Accessibility, User Experience, Privacy, Memory, and Customization.
We call this as our "APPMO" Mantra.
We emphasizes accessibility as a fundamental aspect of our mission to democratize artificial intelligence. Many users, especially from underrepresented or economically disadvantaged backgrounds, face barriers in understanding and adopting AI. These challenges come from the complexity of AI tools and the lack of exposure or support systems.
We believe AI should not remain a privilege reserved for certain socioeconomic groups but should be a resource available to all. By targeting accessibility for users aged 16+ with internet access, we aim to democratize AI, making it a tool for opportunity rather than a privilege.
Privacy is a cornerstone of our strategy, reflecting the need to rebuild trust in an AI era where user data has often been commodified.
We are implementing strong privacy measures through our partnership with Nillion Network. With this partnership, we offer a privacy solution through "blind computation" which masks and fragments data across nodes, ensuring that no single entity can access the complete data. This technology uses multi-party computation (MPC), fully homomorphic encryption (FHE), and zero-knowledge proofs (ZKP) to secure data during processing. You can find more info here.
We provide all the products, to stop your data from becoming a product.
Traditional AI systems, trained on vast datasets, often produce generalized outputs that lack individuality and relevance. This one-size-fits-all homogenizes responses, fails to capture the nuances of specific needs.
At the same time, having personalized answers often requires feeding extensive information into AI systems, and even then, the quality of responses heavily depends on how well the input was given.
We recognizes that Personalization is what make a creator a “unique” creator. Thus we prioritize personalization to allow users to customize their AI interactions and workflows in way "user wants" and which, in turn, creates highly contextualized and meaningful AI experiences.
An assistant that forgets isn’t assisting at all. Without strong memory, AI systems risk being repetitive and failing to adapt to user needs. We believe that a truly personalized AI system should learn, evolve, and remember, but within the boundaries of user consent and privacy.
Thus, we are using advanced memory mechanisms that store and utilize data in a secure and consent-driven manner. By using blockchain technology, we ensure that long-term memory is maintained while safeguarding privacy and enabling it to evolve and improve over time.
We champions the principle that users should own the data and digital assets they generate. Ownership is critical in establishing fairness and transparency in the use of AI technologies.
By using blockchain technology, we enable users to retain control over their creations through the use of Non-Fungible Tokens (NFTs). AI agents created on this platform are tokenized, allowing users to trade, lease, or monetize them while maintaining full ownership rights. Smart contracts ensure management of data access and permissions, aligning usage with user intent.
At a high level, the Crypto x AI stack can be categorized in 3 classes: App layer, Middleware layer and Infrastructure layer.
We are creating Infrastructure layer using Middleware so that user can build their own App layer.
We are using already existing top-notch tech (instead of competing with them and reinventing the wheel - takes more resources) like Nillion. This allows us to speed up the development process.
We are also covered by some of the best in the business. Such as: Yahoo Finance, Coinmarketcap, Benzinga, TheCryptoBasic.