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Various RFPs have common characteristics. Here you can learn more about the context of those RFP categories to help you prepare your proposals accordingly. Check back when new categories are introduced.
RFP Categories
SingularityNET is regularly seeking proposals for specific challenges designed to promote and speed up ground-breaking work in decentralized beneficial and benevolent Artificial General Intelligence (AGI) research and development via our OpenCog Hyperon architecture.
Completed RFP'sSingularityNET is a founding member of the Artificial Superintelligence Alliance, the largest open-sourced, independent entity in AI research and development. The alliance, consisting of SingularityNET, Fetch, Ocean Protocol, and CUDOS, aims to accelerate the advancement of decentralized AGI and, ultimately, Artificial Superintelligence (ASI).
We have designed a highly specific roadmap of tasks we believe wi lead to AGI and ASI. We have identified certain of these tasks that you could help complete, get paid for while doing so, and be a part of the history of AGI/ASI development.
Our current round of RFPs is specifically targeted to help us further develop the Hyperon architecture. It is quite diverse and spans the entire technical stack from low-level hardware designs to high-level SOTA AI algorithms.
Ended on:
12 Oct. 2025
This RFP seeks proposals to create a scalable and reusable adaptive compression service that discovers, elevates, and reuses patterns across multiple data domains.
Ended on:
27 May. 2025
This RFP seeks proposals that experiment with concept blending techniques and formal concept analysis (including fuzzy and paraconsistent variations) using the MeTTa programming language within OpenCog Hyperon. The goal is to explore methods for generating new concepts from existing data and concepts, and evaluating these processes for creativity and efficiency. Bids are expected to range from $30,000 - $60,000.
Ended on:
27 May. 2025
This RFP seeks a technical and experimental assessment of quantum computing architectures in AGI applications. Proposals should explore the practicality and limitations of various quantum approaches — including trapped-ion, superconducting, photonic, and topological quantum computing — in handling probabilistic reasoning, parallel processing, and large-scale knowledge representation. The research could include quantum-classical hybrid simulations and feasibility studies for applying quantum advancements to AGI workloads. Bids are expected to range from $20,000 - $100,000.
Ended on:
27 May. 2025
This RFP invites proposals to explore and demonstrate the use of neural-symbolic deep neural networks (DNNs), such as PyNeuraLogic and Kolmogorov Arnold Networks (KANs), for experiential learning and/or higher-order reasoning. The goal is to investigate how these architectures can embed logic rules derived from experiential systems like AIRIS or user-supplied higher-order logic, and apply them to improve reasoning in graph neural networks (GNNs), LLMs, or other DNNs. Bids are expected to range from $40,000 - $100,000.
Ended on:
27 May. 2025
The purpose of this RFP is to identify, assess, and experiment with novel computing paradigms that could enhance AGI system performance and efficiency. By focusing on alternative architectures, this research aims to overcome computational bottlenecks in recursive reasoning, probabilistic inference, attention allocation, and large-scale knowledge representation. Bids are expected to range from $40,000 - $80,000.
Ended on:
8 Dec. 2024
This RFP invites proposals to explore the integration of LLMs into the MOSES evolutionary algorithm. Researchers can pursue one of several approaches, including generation modeling, fitness function learning, fitness estimation, investigation into domain-independent “cognitively motivated” fitness functions, or propose new innovative ways to leverage LLMs to enhance MOSES's capabilities within the OpenCog Hyperon framework.
Our goal is to empower the community to identify and prioritize what is most important and urgent to develop. This approach aligns with the idea of increasing value by separating the stages of ideation, RFP development, and RFP execution. We focus first on identifying the most critical objectives before determining who is best suited to bring these plans to life. Unlike the single-party approach of Deep Funding Rounds, the RFP process enables broader collaboration, engaging diverse contributors throughout the project lifecycle.
Completed RFP'sThe complete tooling for the ‘RFP Creation Process’ is not yet fully available online. This is partly due to the challenge of defining priorities across a comprehensive pipeline of desired features. However, this is also intentional. By working ‘offline’ and adopting a pragmatic, iterative approach, we can better understand what works, identify areas requiring more attention, and reduce the risk of over-engineering. The first stage in this process, the ideation phase, is currently under development. Subsequent steps -such as outlining an RFP and selecting the best team to define it in detail- will remain in early stages until we gain more experience with the process and a clearer understanding of the volume and type of ideas we can expect. Our first community-driven project dates back to 2023. Though it took time to materialize into a formal RFP (Deep Funding Knowledge Graph), The ensuing project is now nearing completion. We look forward to seeing many more community-led initiatives emerge, bringing innovative and urgent projects -across a wide variety of topics and application domains- to the Decentralized AI platform.
Ended on:
2 Dec. 2025
The goal is to create a foundational KG that not only structures Deep Funding data for immediate needs but also sets the groundwork for scalable expansion to encompass the entire SingularityNET ecosystem.
One of the main pillars of SingularityNET is the Decentralized AI platfrom. The SingularityNET team is constantly improving the platform by giving it more features or enbale cross-chain availability. By means of these RFPs, the internal SNET team would like to invite community members and engaged third parties to help them build out all the features and become part of the movement of decentralized AI!
Completed RFP'sEnded on:
8 Dec. 2024
The SDK will enable seamless integration with key components like Multi-Party Escrow (MPE), the Registry, and IPFS, serving both AI developers and consumers. It must maintain backward compatibility with the existing Python SDK, offer intuitive interfaces for managing identities, organizations, and services, and include strong security and scalability features. Comprehensive documentation is required to ensure ease of use and long-term maintainability.
Ended on:
8 Dec. 2024
The MultiParty Escrow (MPE) smart contract is a critical component of the SingularityNET platform's integration with the Cardano blockchain. Designed to manage payment channels within SingularityNET’s Decentralized AI Platform and AI Marketplace, this contract enables secure, decentralized transactions between clients and AI service providers. By leveraging Cardano’s Extended UTxO (EUTxO) model, this solution facilitates efficient and trustworthy interactions, ensuring streamlined payments for AI services.
These RFPs are developed by members of the Deep Funding Circle to strengthen and expand the program through innovative tools and initiatives. Examples include RFPs for our Reputation Platform, tools for Voting and ID management, the creation of Community Hubs, and other forward-looking projects.
Completed RFP'sDeep Funding is a dynamic, community-driven program designed to grow and evolve with the contributions of its members. Our organization comprises a globally diverse network of passionate part-time contributors who collaborate under equal conditions, regardless of location, experience, or expertise. Innovation lies at the heart of Deep Funding. As part of our experimental approach, we periodically issue RFPs to develop or enhance tools and initiatives critical to the program. These may include creating new solutions, refining existing ones, or addressing specific needs that go beyond the core responsibilities of the circles. RFPs are particularly valuable when specialized expertise, dedicated full-time resources, or support within a defined timeframe is required. They also allow us to further decentralize our efforts, empowering the community to take a more active role in shaping the future of Deep Funding
Ended on:
2 Mar. 2025
The goal of this project is to conduct research on solutions and requirements for a decentralized digital identity (DDI) hub tailored to the needs of the SingularityNET ecosystem and its reputation system. This will include research into how existing DDI solutions can be integrated into a single hub that will allow for the creation of reputation scores that can be tied to unique verifiable identities while maintaining privacy. Part of the RFP is the definition of 2 or 3 RFPs for development of the envisioned system. This RFP is closely connected to the Reputation Platform RFP, and should be guiding the data privacy and identity integration solution of that RFP.
Ended on:
6 Feb. 2025
We are seeking individuals to lead and manage Deep Funding Community Hub initiatives. These initiatives aim to establish and foster decentralized Deep Funding Communities centered around specific topics or areas of interest where a dedicated community would be valuable. Examples of potential hubs include:
Ended on:
2 Mar. 2025
The goal of this project is to develop functionality that will enable modular microservices that support data collection, scoring, and analytics functions as part of a reputation and voting weight system. This should include an architecture to allow for the integration of future microservices, an initial suite of key microservices, and a user interface that allows users to find and utilize various configurations of the microservices.
© 2025 Deep Funding
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