Proof of Usefulness Report

BOND.AI

Analysis completed on 1/16/2026

+339
Proof of Usefulness Score
Certified Problem Solver

BOND.AI is a legitimate, established B2B fintech company (est. 2016) offering the 'Empathy Engine' and 'Autopilot' to financial institutions. External verification confirms significant traction with over 50 bank partners and ~$3.5M in seed funding, placing it in the 'Comparable scale' tier relative to the calibration benchmark. However, the submission itself was of extremely low quality, containing hyperbolic claims ('most people have used my product') and generic data. Consequently, while the project scores highly on Utility and Traction due to verifiable external reality, the Response Quality score is penalized heavily.

Ready to Compete for $150k+ in Prizes?

Move this data into a HackerNoon blog draft to become eligible for your share of $150k+ in cash and software prizes

View All Reports

Score Breakdown

Real World Utility+108
Audience Reach Impact+48
Technical Innovation+54
Evidence Of Traction+75
Market Timing Relevance+34
Functional Completeness+1
Subtotal+320
Usefulness Multiplierx1.06
Final Score+339

Project Details

Project URL
Description
BOND.AI is a award winning human-centered AI platform for banks, powered by its proprietary ’empathy engine’. It helps banks intimately understand user behavior and nudge them towards improving financial health. BOND.AI significantly increases user engagement, lifetime customer value and most importantly helps monetize data for financial institutions.
Audience Reach
everyone
Target Users
everyone
Technologies
Health And-Wellness, Machine Learning, Healthcare Tech
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