Turn your groundbreaking ideas into reality. Join a global community pushing the boundaries of AI innovation through funding, collaboration, and open-source impact.
Deep Funding is a community-driven grant program by SingularityNET, designed to accelerate the development of decentralized, beneficial Artificial General Intelligence (AGI). By providing milestone-based funding, we empower innovators, researchers, and developers to bring their AI projects to life while retaining full ownership of their intellectual property.
Where your ideas can thrive and your potential is unlocked while giving you the opportunity to contribute to the development of decentralized, beneficial AG
Receive milestone-based funding when your proposal gets selected in our Funding Rounds or in response to an RFP.
Refine your proposal with help of the feedback from a diverse range of industry experts.
Get global visibility when you launch your service on our platform.
Connect with global users and start generating revenue for your innovation while keeping complete ownership of your project.
Meet and collaborate with a diverse range of AI developers and enthusiasts passionate about AI and Blockchain.
Take advantage of a wide range of opportunities to contribute to the development of AGI.
Bring your vision to life with our streamlined process designed to empower innovators. Follow these simple steps to turn your groundbreaking AI idea into a reality.
Share your project through a structured proposal. Deep Funding makes it easy to highlight your goals, approach and expected milestones.
Learn about our Rules and GuidelinesBy responding to an RFP, you directly contribute to SingularityNET’s mission of advancing decentralized, beneficial AI. If you found an RFP that aligns with your skills and expertise you can use our multistep flow to guide you through the submission process.
See all Rfp'sBy responding to an RFP, you directly contribute to SingularityNET’s mission of advancing decentralized, beneficial AI. If you found an RFP that aligns with your skills and expertise you can use our multistep flow to guide you through the submission process.
Submit a Proposal TodayBrowse RFP ideas in our open section, or in an active challenge with a predefined goal. Explore innovative and beneficial ideas and provide (or receive) valuable feedback.
Explore ideasShare your initial idea with the community. Gather feedback, refine your vision, and showcase how your approach can address real- world challenges.
Submit New IdeaExplore the awarded projects actively shaping the future with Deep Funding. See how transformative ideas are being developed, milestones achieved, and their potential to deliver real-world impact.
There are many large, generic semantic graphs (e.g. WikiData, DBpedia, etc.) alongside growing numbers of domain-specific ones. LLMs offer a quick path to KG extraction but introduce: Inconsistency: erratic, non-deterministic entity resolution; Inaccuracy: missing or hallucinated predicates; Context loss: unstable frames of reference; Confidence: displaying confidence regardless of accuracy; Speed: impractical at scale. We are developing an AGI-focused KG tooling suite tackling these challenges via four modules—Context Identification, Entity Management, Predicate Management, and Confidence Management. This proposal addresses Context Identification for efficient framing of noisy KGs.
Biomedical knowledge graphs (BMKG) contain chemical compounds such as drugs, toxins, metabolites, cofactors or signaling molecules. These entities and some of their relations can be richly augmented with qualitative & quantitative properties by methods from cheminformatics, computer-aided drug design (CADD) and related fields. This enables numerical queries and many analyses such as filtering, clustering, embedding, similarity/outlier detection, QSAR modeling, ML, etc. The aim of this project is to make existing but scattered methods available in a Python package with a unified functional API, expose it to OpenCog Hyperon, and apply it in a PoC study to annotate and analyze Hetionet in MORK.
This project explores Concept Blending as a Mechanism for Abstract Pattern Discovery in Symbolic Visual Structures, with a focus on tasks inspired by the ARC-AGI challenge. We implement an information-theoretic concept blending algorithm within the MeTTa language of the Hyperon framework, targeting the induction of reusable abstractions from small, discrete visual examples. Symbolic visual structures—such as shape groupings, spatial relations, and symmetry patterns—are represented as hypergraphs in the Atomspace. Blending operations generate higher-level concepts that generalize across tasks. The system is evaluated on its capacity for coherence, novelty, and reuse.
Interactional Motivation (IM) implements self-motivation in artificial agents by assigning value to agent-environment interactions themselves, rather than valuing the outcome or states of the environment. Unlike traditional methods that rely on predefined goals or external rewards, IM drives agents to autonomously organize behavior and construct knowledge from their experience of interaction. This aligns with genetic epistemology and theory of enaction. Applying IM within AGI frameworks offers a pathway to study autonomous cognitive development, constitutive autonomy, and autonomous goal construction, potentially moving beyond traditional reinforcement learning and problem-solving AI.
We will develop and evaluate neural-symbolic models that embed experiential and higher-order logic into deep learning architectures like PyNeuraLogic and Kolmogorov–Arnold Networks. Using physics and molecular simulations, we’ll encode rules (e.g. energy thresholds, chemical constraints) in Atomspace and apply MeTTa reasoning within OpenCog Hyperon. Our goal is to demonstrate causal reasoning, learning from small data, and structured generalization in AGI-compatible systems. A working MeTTa-integrated prototype will showcase logic-enhanced learning, grounded in formal simulations.
The experienced FromScience.io scientific team investigates the applicability and consequences of quantum computing architectures dedicated to Artificial General Intelligence (AGI) applications. We explore four quantum systems and their impact on the AGI evolution: trapped-ion, superconducting, photonic, and topological quantum computing. We seek to develop a clear panorama of conceivable implications, highlighting binding capabilities and identifying pathways where these paradigms may effectively support AGI development within the OpenCog Hyperon framework, while enlightening the AGI community.
Discover how Deep Funding has empowered AI pioneers to transform their visionary ideas into impactful solutions.
"This is an amazing platform for innovators."Last year, our company was fueled by ambition and a drive to grow. Deep Funding gave us the opportunity to prove ourselves by empowering them in return. Thanks to their support, we organized an SNET Buildathon in Bangkok, onboarding 200 people and bringing our shared mission to life: empowering nerds and pushing the boundaries of innovation."
"Photrek is appreciative of the opportunity to participate in the SingularityNET Deep Funding program. Our grants have enabled us to launch a series of Risk-Aware AI apps and to contribute to the reputation system that undergirds the voting process."
"The Deep Funding program has given me and MLabs a wonderful opportunity to conduct research that ordinarily couldn't be done. This program is bolstering AI research and taking it in a wonderful, visionary direction. The community is warm and welcoming, and they are all focused on producing the best kind of AGI possible. I hold a large amount of sincere gratitude towards everyone involved in Deep Funding!"
"Written into the code of SingularityNET is, interestingly, a human vision of the future. A destiny with intelligence, invention, humour, culture & innovation. While our world momentarily tilts towards violence, placing outliers like myself in peril, SingularityNET provides a pathway for people like me to infuse this future with hope. Deep Funding, Community Town Halls, All Hands Meetings, Ambassador Program, Guilds, the many initiatives like NuNet, Jam Galaxy, Sophiaverse, True AGI and others: we are destiny’s voyageurs to new worlds. For any science fiction fan, scientist, culture creator, futurist, engineer, and so many others, SingularityNET is this universe’s decentralized creation network."
"We are proud to be part of the Deep Funding program. The decentralized funding approach is both innovative and transparent, and the program management has been highly effective. This initiative is playing a vital role in advancing AI development, and we are honored to contribute to this impactful vision."
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