Proof of Usefulness Report

Farsight

Analysis completed on 2/4/2026

+680
Proof of Usefulness Score
Category Standard

Farsight AI (farsight-ai.com) is a legitimate, high-potential Series A startup ($16M funding led by SignalFire) automating financial workflows. However, the submission itself is of extremely poor quality, containing hallucinations ('most people have used my product'), inconsistencies ('SwiftStorm' as name), and misunderstood metrics ('marketcap: 16000000' likely referring to the recent funding round). The evaluation scores reflect the high actual value and verified traction of the company, heavily penalized by the Low Quality Factors in 'Reach' and 'Response Quality' due to the inaccurate submission data.

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Score Breakdown

Real World Utility2.5)
Audience Reach Impact2.0)
Technical Innovation1.5)
Evidence Of Traction2.5)
Market Timing Relevance1.0)
Functional Completeness0.5)
Subtotal+755
Usefulness Multiplierx0.90
Final Score+680

Project Details

Project URL
farsight-ai.com
Description
Farsight AI is a company that develops an artificial intelligence-based automation platform designed to provide augmented financial services and insurance workflows. Their platform specializes in complex use cases, leveraging large language models to minimize AI hallucination and enable significant time savings and improved employee efficiency for businesses through seamless integration with any data type or workflow. Farsight AI aims to automate critical financial workflows, such as pitch deck creation, buyer list generation, and valuation analysis, directly within existing tools like Excel and PowerPoint, helping financial institutions to operate with greater agility and win more deals.

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