Proof of Usefulness Report

DaveAI (Sociograph Solutions Pvt Ltd)

Analysis completed on 1/19/2026

+428
Proof of Usefulness Score
Certified Problem Solver

DaveAI (Sociograph Solutions) is a legitimate, growing Series A company with ~$1.5M revenue and 74+ employees, servicing major clients like Maruti Suzuki and Kotak Mahindra Bank. However, the project submission was of extremely low quality, containing vague claims ('everyone', 'most people') and missing data. The score reflects the strong underlying business fundamentals and technology, severely penalized by the poor response quality and lack of substantiated evidence in the submission.

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+163
Audience Reach Impact+60
Technical Innovation+90
Evidence Of Traction+75
Market Timing Relevance+85
Functional Completeness+3
Subtotal+476
Usefulness Multiplierx0.90
Final Score+428

Project Details

Project URL
Description
DaveAI (www.iamdave.ai) is an AI based sales augmentation platform. DaveAI is designed to be a brand's virtual sales avatar that helps brands create productive sales experiences across channels. \n\nDaveAI helps enterprises increase conversion rates, optimise product mix and elevate the buyer experience. \n\nDaveAI uses patent pending Empathetic AI technology to model the process of making a sale. Every customer has a unique journey, Dave is capable of learning these journeys across the enterprise. Dave can then predict the best steps to be taken to convert a customer. For e.g., what product to pitch, what feature would a customer be interested in, what other factors might nudge the customer take a positive step.\n\nDaveAI helps create these experiences on kiosks, tab, 3D/AR/VR (which can include an interactive web app for contact center agents, and a mobile application for field sales). A Flexible data model enables seamless integration with CRM applications.
Audience Reach
everyone
Target Users
everyone
Technologies
Arvr, Software Development, Web Development
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