Proof of Usefulness Report

ForMotiv

Analysis completed on 1/22/2026

+554
Proof of Usefulness Score
Industry Mainstay

ForMotiv is a high-utility B2B SaaS platform addressing a critical need in digital fraud detection (InsurTech/FinTech) via behavioral biometrics. While the submission itself contained hyperbolic and lazy claims (e.g., 'most people have used my product', Audience: 'everyone'), external verification confirms the company is an established market player with Tier 1 enterprise clients (e.g., iptiQ, partnerships with Guidewire/Duck Creek). The 'Digital Polygraph' technology is innovative and patent-pending. The project significantly outscales the baseline calibration in terms of enterprise value and utility, though the submission quality penalized the final score.

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Score Breakdown

Real World Utility+212.5
Audience Reach Impact+60.0
Technical Innovation+120.0
Evidence Of Traction+93.75
Market Timing Relevance+90.0
Functional Completeness+7.5
Subtotal+583.75
Usefulness Multiplierx0.95
Final Score+554

Project Details

Project URL
Description
ForMotiv is the first-ever Digital Behavioral Intelligence (DBI) platform. We invented a patent-pending “Digital Polygraph” technology to provide a level of previously unobtainable behavioral data on customers and employees. \n\nUsing a combination of Artificial Intelligence, Machine Learning, and Predictive Behavioral Analytics, our “Digital Polygraph” will finally allow organizations to combat fraud by understanding their online user's motives and predicting their intent. \n\nWith customers continuing to demand seamless online experiences, businesses have been forced to shift from “Face-to-Face” to “Faceless” interactions. As the digital transformation continues to unfold, the innately human ability to understand intent by reading and reacting to body language has been lost. This shift left organizations vulnerable to increased risk from bad actors and fraudsters. Until now. \n\nWhile the technology is complicated, the idea behind ForMotiv is simple...With the right kinds of intelligence about the actions and behaviors of users, organizations can deconstruct their user’s behaviors to obtain their root causes. This information not only allows them to understand the intentions, motivations, and plans of those end-users, but they can then predict the future actions that the users will take. \n\nForMotiv’s “Digital Polygraph” collects between 5,000-50,000 behavioral data points on an individual application. Using supervised machine learning, ForMotiv analyzes behavioral signals, or “Digital Body Language”, such as correcting answers, copying and pasting, hesitancy on certain questions, and hundreds of other behavioral features to determine an “intent score”. Using proprietary A.I. algorithms, ForMotiv arms organizations with actionable, explanation-based behavioral intelligence, enabling them to optimize their online experiences, predict outcomes such as risk \u0026 fraud, and create dynamic online experiences that add or reduce friction on a user-by-user basis.

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