Proof of Usefulness Report

MatLogica

Analysis completed on 1/6/2026

+372
Proof of Usefulness Score
Certified Problem Solver

The project 'MatLogica' (submitted as 'SwiftForge') is a high-value DeepTech solution for Quantitative Finance, specifically an AADC (Automatic Adjoint Differentiation Compiler) that accelerates legacy C++ pricing code by 6x-100x. Despite the low-quality submission (incorrect name, claims of 'everyone' as audience, unverifiable traction claims like 'most people'), external due diligence confirms significant B2B traction. MatLogica is a recognized category leader (Chartis Research), has partnered with Intel, and lists a Tier 2 European Bank as a case study with massive efficiency gains. The score reflects the high real-world utility, strong technical innovation, and proven niche market traction, heavily adjusted for the discrepancy between the poor submission quality and the actual high-potential business.

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Score Breakdown

Real World Utility+135
Audience Reach Impact+40
Technical Innovation+85
Evidence Of Traction+112
Market Timing Relevance+42
Functional Completeness+1
Subtotal+416
Usefulness Multiplierx0.89
Final Score+372

Project Details

Project URL
matlogica.com
Description
Modern hardware is increasingly moving towards parallel calculations, but it can be challenging to write multi-thread safe and properly vectorized code. Our library allows users to take full advantage of existing hardware with minimal changes. The library functions similar to a run-time compiler and forms efficient machine binary code that is multi-thread safe and fully vectorized. This often yields drastic improvements in performance (x6-x100 times) while keeping the object-oriented code clean, easy to understand, and easy to develop.\nOur primary clients are large investment banks but we are rapidly growing into other sectors.
Audience Reach
everyone
Target Users
everyone
Technologies
Hardware
Traction Evidence
most people have used my product

Algorithm Insights

Market Position
Strong market validation with clear user adoption patterns
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