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Deep Funding is a grant from SingularityNET that funds developers, researchers, and innovators building AI solutions on the SingularityNET decentralized platform. Launched with $1. 25 million across 14 challenge areas, the program supports projects advancing the OpenCog Hyperon architecture, the MeTTa programming language, and AGI research.
Awards vary per project and prioritize open-source work in areas such as neuro-symbolic AI, evolutionary algorithms, cognitive architectures, language model corpora, and blockchain-based infrastructure. The program is open globally, with a community-driven peer-review selection process.
Deep Funding is designed to expand access to AI research funding beyond established faculty, including graduate students and independent researchers working on decentralized beneficial AI.
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Deep Funding for AGI – RFP Process Overview & Results | Deep Funding for AGI – RFP Process Overview & Results Link copied to clipboard! Selection Process Overview When we launched our RFP with $1.
25M in grant funding across 14 critical challenge areas, we had a bold vision: to accelerate the development of AGI through our groundbreaking OpenCog Hyperon architecture, the innovative MeTTa programming language, and the SingularityNET platform. The response from the global developer and research community was remarkable. We were humbled and inspired by the depth, creativity, and technical brilliance of the proposals we received.
Developers and researchers from around the world came forward with innovative approaches to solving complex AGI development challenges. Each proposal represented not just a potential technological solution, but a glimpse into the collective human potential to shape the future of artificial intelligence. They are the result of a dedicated, collaborative, inclusive community dedicated to developing beneficial AGI.
By funding innovative proposals, we are expanding the adoption of the MeTTa programming language, enabling developers worldwide to harness its unique capabilities for cognitive computation. The team has remained open to new, unusual, and disruptive ideas, so long as the proposals were thoughtfully constructed, thought through, and supported the RFP.
We have carefully evaluated every proposal not only within the context of the RFP text itself, but also within the larger context of AGI R&D and, in particular, with deep consideration of how we thought each proposal contributed to, or in some cases even expanded upon, our own PRIMUS roadmap toward Artificial General Intelligence.
Moreover, the diversity of participants brings unique, global perspectives to our mission, fostering an inclusive approach to solving complex AGI challenges, which has always been one of our core principles. By connecting top talent from around the world with our leading research team, we are creating a collaborative ecosystem that drives progress toward achieving AGI and, ultimately, Artificial Superintelligence.
Selection Process Overview The RFP evaluation process was designed to assess not just the technical strength or individual merit of each proposal, but also how well that proposal leverages SingularityNET’s technologies, its potential for integration, and its contribution to our broader AGI strategy. Each proposal had a specialized nature, as the proposals were centered around AGI research and the SingularityNET technology stack.
Because of this, we knew we had to rely on experts already deeply familiar with our technology and ecosystem. Experts were assigned to RFPs based on their specific areas of expertise, but they also had the opportunity to review additional proposals. This resulted in some variation in the number of reviews per proposal.
After individual assessments were completed, all reviews were compiled and shared among the experts. Various specific teams of senior technologists, each composed of members with RFP-specific expertise, then conducted final reviews to determine the outcomes.
In cases where we received multiple high-value proposals for the same RFP, final decisions were based on alignment with our technology stack, AGI roadmap, and the experience of the proposing team. Once the evaluations were finalized, we uploaded the results to our portal and informed all proposal owners via email. Initially, proposal details and reviews were only visible to proposal owners and reviewers.
And to make the process completely transparent, we are making all proposals and individual reviews publicly available. Our hope is that this openness will guide future teams in crafting even stronger proposals.
RFP – Utilize LLMs for modeling within MOSES Project owner: Patrick Nercessian Direct the MOSES Evolutionary Exploration via LLMs – Awarded RFP – Framework for evaluating approaches to attention allocation Project owner: Dwane van der Sluis NACE inspired attention evaluation frame work Project owner: Simuli Inc. SYNAPSE: Systematic Neural-Symbolic Attn and Eval RFP – AGI Related Hardware Project owner: Simuli Inc. Design for Cryptocurrency Mining and AI Processing RFP – Review of Quantum Computing Technologies Project owner: M.
T. Bennett From Classical AGI on Quantum HW to Native QAGI M. T.
Bennett, project owner: “I am immensely grateful to the SingularityNet team for their support, both in terms of this generous grant and as part of their support of the wider AGI research community. As a PhD student it is very difficult to obtain funding, because grants are intended for faculty. Ambitious projects proposed by students are dismissed out of hand, and so many potentially valuable projects are overlooked.
The Deep Funding system seems more targeted at the content of the proposal and the applicant’s ability to execute, rather than seniority. It is allowing me to pursue an ambitious and potentially very valuable line of inquiry I might not otherwise have any resources to pursue.
” RFP Neuro-symbolic DNN Architectures Project owner: Rob Freeman Neurosymbolics from Chaos in Language Models Project owner: Nils Kakoseos RFP – Create Corpus for NL-to-MeTTa LLM Project owner: Seb Wiechers Large MeTTa corpus for LLM fine-tuning RFP – Develop a Framework for AGI Motivation Systems Project owner: Anna Mikeda Modular Adaptive Goal and Utility System (MAGUS) Project owner: Gabriel Axel Montes Neurotech Controls for AGI Motivational Framework RFP – Implement Clustering Heuristics in MeTTa Project owner: Ramin Barati RFP – Evolutionary Algorithms for Training Transformers and other DNNs Project owner: Patrick Nercessian Evolving DNN Architectures RFP – Develop Interesting Demos in MeTTa Chimera: Evolving Software Project owner: PhilipeSantos Procedurally Generated Interactive Experience MeTTa Demo: Sequence Learning Project owner: Robert Haas Knowledge Graph Workflows RFP – Golang SDK Development for SingularityNET AI Marketplace Project owner: maldybaevr Golang SingularityNET SDK RFP – Development of a Cardano-Based MultiParty Escrow (MPE) System Project owner: Manu Gunther TxPipe These Request for Proposals (RFPs) were not awarded, leaving these initiatives without selected winners at this time: PLN-014: PLN Guidance to LLMs, PLN-016: Guided PLN Inference Control, We are incredibly grateful for the global and diverse range of proposals received in this round, and we’re proud to be a part of this worldwide movement to develop beneficial, open, and forward-thinking AGI solutions.
We extend our deepest appreciation to the vibrant community of developers, researchers, and visionaries who make this journey possible. Your unwavering commitment, creativity, and passion are the true driving forces behind our collective mission.
A mission that extends beyond technical innovation, cultivating a global community united by the belief that AI should be open, accessible to all, and fundamentally aligned with human values and potential. Throughout this round of RFPs, we not only focused on advancing the Hyperon architecture but also on reinforcing the broader SingularityNET platform to support state-of-the-art AGI research.
We challenged the global community to explore critical development areas that would push the boundaries of our Hyperon architecture. Our goal was not just to fund projects, but to catalyze a collaborative ecosystem of innovation—bringing together diverse perspectives, cutting-edge research, and transformative ideas.
By bridging advanced decentralized AI infrastructure with core AGI initiatives, we remain committed to an open, inclusive, and forward-thinking ecosystem—one that fosters collaboration, innovation, and alignment with human values at every step. To every researcher, developer, and innovator who participated: your creativity, technical expertise, and commitment to advancing AGI have been truly inspiring.
You’re helping to chart the course for one of the most significant technological endeavors in human history. The journey toward beneficial artificial intelligence is a collective endeavor. And with each round, we move closer to realizing a vision of AI that is transparent, democratic, and fundamentally aligned with human values.
Together, we are pioneering a future where innovation will know no limits, and the collective potential of human creativity will meet the transformative power of artificial intelligence. DeepFunding is SingularityNET’s decentralised AI innovation fund. The funding program supports AI builders who build innovative solutions that grow and advance the world’s largest decentralised AI marketplace.
DeepFunding believes in the transformative power of artificial intelligence. AI is no longer just a buzzword or a distant promise, it is now a reality – shaping and disrupting industries, solving complex problems, and redefining what’s possible. Deep Funding enables groundbreaking projects and ideas to come to fruition by supporting developers to get their ideas heard and grow through resources, mentorship, and better visibility.
For additional information, visit: https://deepfunding. ai/ HyperClaw: A Cognitive Orchest... Ben Goertzel has published a new preliminary design proposal titled HyperClaw: Cognitive Orchestration via Attention-Metaprotocol for Hybrid AGI Systems, and if you...
March 4, 2026 | 8 min read HyperClaw: A Cognitive... The Problem MeTTaClaw: The Foundation HyperClaw: Three Additions Two Versions, One Architecture The Scoring Logic Decentralized Deployment on ASI:Chain Why This Matters... Mar 04, 2026 | 8 min read Your Invite to AGI-26: The 19t...
The AGI Conference is returning in 2026, and this year it comes to San Francisco. AGI-26 is the 19th edition of the... March 3, 2026 | 5 min read The Moment We Are In What the Conference Covers Call for Papers Call for Workshop and Tutorial Proposals Get Involved Tickets and...
Mar 03, 2026 | 5 min read Hyperon Progress: From Prototy... After more than a decade of steady evolution, the Hyperon project has reached a decisive inflection point, with the past 2 months... December 1, 2025 | 10 min read Hyperon Progress: From...
The Rise of the Fast, Scalable MeTTa Compiler From MeTTa to Smart Contracts The Use Case: Alpha Devnet of ASI Chain Entering... Dec 01, 2025 | 10 min read Stay up to date with the latest news and updates from SingularityNET
Based on current listing details, eligibility includes: Open-source contributors, developers, and startups working on decentralized AI tools, services, and integrations. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Up to $100K (varies per project) Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
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Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
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This NOFO provides an opportunity to all FY 2018 NIST SBIR Phase I awardees to submit a Phase II application following completion of Phase I. This NOFO provides instructions for FY 2019 NIST SBIR Phase II application preparation and submission requirements. In Phase II, work from Phase I that exhibits potential for commercial application is further developed. Phase II is the R&D or prototype development phase. To apply for a Phase II award, each Phase I awardee will be required to submit a comprehensive application outlining the proposed research and a detailed plan to commercialize the final product. Each NIST Phase II award is for up to $400,000 and up to a 24-month period of performance. One year after completing the Phase II R&D activity, the awardee shall be required to report on its commercialization activities. Up to an additional $6,500 may be requested for Technical and Business Assistance (TABA); see Section 5.11 for more information about TABA. Funding Opportunity Number: 2019-NIST-SBIR-02. Assistance Listing: 11.620. Funding Instrument: CA. Category: ST. Award Amount: Up to $400K per award.
Local Government Cybersecurity Grant Program (Florida) is sponsored by Florida Digital Service. This Florida state grant program enhances cybersecurity resilience in local governments, with a priority focus on fiscally constrained rural areas. Rather than issuing direct funding, the Florida Digital Service will procure cybersecurity solutions directly on behalf of awarded applicants. The grant supports new or expanded capabilities in preventing, detecting, responding to, and recovering from cyber threats.
NVIDIA Graduate Fellowship Program is a grant from NVIDIA providing up to $60,000 per award to PhD students conducting research that advances accelerated computing and its applications. Now in its 25th year, the program invites nominations from doctoral students pushing the boundaries of artificial intelligence, robotics, autonomous vehicles, and related fields. Recipients receive not only research funding but also access to NVIDIA technology, products, and engineering expertise, along with a mandatory in-person summer internship. Students are nominated by their faculty advisors and selected based on academic achievement and research area alignment.