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Keshav Singhal
Project Owner

Z-EO

Expert Rating

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Overview

Z-EO is an agentic orchestration platform that unifies reasoning across SQL, documents, the web, and machine-learning sandboxes. It enables autonomous data pipelines that can analyze, decide, and act across enterprise workflows. Built for decentralized and collaborative AI ecosystems, Z-EO aims to create transparent, explainable, and modular agent intelligence for real-world automation and research acceleration.

RFP Guidelines

Development of an adaptive compression and discovery service

Proposal Submission (4 days left)
  • Type SingularityNET RFP
  • Total RFP Funding $150,000 USD
  • Proposals 5
  • Awarded Projects n/a
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SingularityNET
Oct. 2, 2025

This RFP seeks proposals to create a scalable and reusable adaptive compression service that discovers, elevates, and reuses patterns across multiple data domains.

Proposal Description

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  • Total Milestones

    1

  • Total Budget

    $50,000 USD

  • Last Updated

    8 Oct 2025

Milestone 1 - Agentic Orchestration Core-Gamma testing

Description

This milestone focuses on building the foundational layer of Z-EO — an agentic orchestration engine that allows decentralized AI systems to reason across structured (SQL), semi-structured (documents), and unstructured (web or model sandbox) data sources. The core architecture will support agent-to-agent communication, dynamic context fusion, and intelligent decision-making through modular execution graphs. The work will include: Designing Z-EO Core APIs for cross-domain reasoning Implementing orchestration logic for SQL, document, and ML agents Establishing the pipeline interface for distributed and on-chain compute Integrating security, transparency, and explainability frameworks This foundation enables later milestones such as self-learning workflows and open integration with the Deep Funding ecosystem, empowering global developers to build interoperable AGI-ready tools.

Deliverables

Z-EO Core Engine (open-source) repository with working orchestration modules Unified Agent SDK for SQL, Document, and ML sandbox connectors Documentation and developer onboarding guide Internal performance benchmarks demonstrating reasoning flow across heterogeneous data sources Prototype interface that visualizes agent orchestration paths in real-time All deliverables will be hosted publicly (GitHub + AGIX-compatible repo) to encourage transparency, reuse, and community feedback.

Budget

$50,000 USD

Success Criterion

Successful end-to-end execution of 3 agent types (SQL, Document, ML) within a unified orchestration environment Achieve <200ms orchestration latency for standard tasks Minimum of 50 external developers testing or forking the SDK Verified integration with one decentralized compute network (e.g., SingularityNET node or partner system) Public demo + documentation released within the milestone timeline Approval from Deep Funding reviewers through technical validation and community voting

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