Round 1 Winners!
Proof of Usefulness Report

Risgra

Analysis completed on 3/13/2026

+95
Proof of Usefulness Score
You're In Business

Risgra presents a highly complex, jargon-heavy value proposition regarding Agentic AI and symbolic Enterprise Risk Management (ERM) ontology. However, the submission is severely undermined by contradictory and unverifiable claims. Asserting that 'everyone' is the target audience and that 'most people have used my product' is entirely unrealistic for a highly specialized B2B compliance tool. Furthermore, listing 'all time marketcap: 500000' under monthly revenue strongly implies a tokenized crypto asset rather than legitimate business cash flow. Due to these red flags, lack of verifiable metrics, and vague answers, the project receives a heavily penalized score reflecting minimal real-world traction.

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Score Breakdown

Real World Utility+25.0
Audience Reach Impact+5.0
Technical Innovation+45.0
Evidence Of Traction+1.25
Market Timing Relevance+40.0
Functional Completeness+2.5
Subtotal+118.75
Usefulness Multiplierx0.8
Final Score+95

Project Details

Project URL
Description
RISGRA® supports and informs the compliant implementation of Agentic AI in regulated organisations. RISGRA® is a comprehensive symbolic (foundational) model of the inter-related Enterprise Risk Management (ERM) concepts, constructs & frameworks that are integral to the operation of a regulated organisation. The RISGRA® ERM ontology provides the symbolic, real world “judgement”, to counterbalance and complement the “predictive” power of neural LLM & ML, designed to act as a suite of grid references and guard rails to guide and inform (swarms of) autonomous AI Agents. RISGRA® models complex, non-linear decision processes, including causal links, points of inflexion and cascade effects between risks along the full value chain, and integrates rules, weights and temporal analysis to enable powerful inference. RISGRA® is a higher-level implementation of an Entity-Relationship Knowledge Graph model, extending to include nested and chained Relations (hypergraph), necessary to reflect the complex, dynamic and nuanced operations of a regulated organisation. RISGRA® models sit at the functional interface between Risk, Finance, Compliance and Operations; and extend across the full value chain to take account of both external and internal organisational context, including mapping to a comprehensive suite of enabling constructs, such as internal governance and external counterparties, that operate more widely - beyond the perimeter of the risk domain. Underpin the compliant implementation of Agentic AI in your organisation with RISGRA®.

Algorithm Insights

Market Position
Growing utility with room for optimization
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline