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Keshav Singhal
Project Owner

Z-EO

Expert Rating

n/a

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

Complete & Awarded
  • Type SingularityNET RFP
  • Total RFP Funding $150,000 USD
  • Proposals 5
  • Awarded Projects 1
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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

Our Team

Keshav Singhal(Founder, CEO) :- 

Worked as Chief Engineer for various Japanese startups under Matsuo San Lab UTokyo for 6 months. Designed the stack for various Machine learning and full stack applications and worked as product engineer at top research and private labs in India

Varun Ahlawat(Founder, CTO):-

More than 4 years of experience in system design and development. Designed the entire stack for Diag AI, a medical application, before ZeroLumens.

 

Company Name (if applicable)

Zerolumen labs

Project details

Every mid-size manufacturer struggles with the same issue: tons of data in ERP systems, financial records, and reports — but no clear way to turn it into decisions.  I’ve seen this problem firsthand in my own family. My father runs a manufacturing business, and I watched him spend hours every week pulling reports from different systems, just to decide on production or pricing. He did not lacked data but lacked clarity That’s why we built Z-EO at Zero lumen Labs — an AI-powered decision orchestrator which is a deep research reasoning agent and pulls actionable insights. With Z-EO, businesses like my father’s can cut decision time by 60%, save hundreds of hours, and focus on growth instead of firefighting. We are currently working with 3 pilot clients from India.

Open Source Licensing

Apache License

Links and references

website link : https://www.zerolumens.com

 

Additional videos

https://youtu.be/EqnTcbhEcJg?si=9BMxmQxWGJYIU8mG

Proposal Video

Not Avaliable Yet

Check back later during the Feedback & Selection period for the RFP that is proposal is applied to.

  • 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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Expert Ratings

Reviews & Ratings

  • Expert Review 1

    Overall

    2.0

    • Compliance with RFP requirements 1.0
    • Solution details and team expertise 4.0
    • Value for money 2.0
    Unrelated to RFP

    Interesting proposal but unrelated to RFP

  • Expert Review 2

    Overall

    3.0

    • Compliance with RFP requirements 2.0
    • Solution details and team expertise 4.0
    • Value for money 4.0
    Intersting proposal but not for this RFP

    An interesting and potentially useful project, but its aim is not targetted at the goals of this particular RFP.

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