Proof of Usefulness Report

Avaamo

Analysis completed on 1/14/2026

+653
Proof of Usefulness Score
Category Standard

Avaamo is a well-established, venture-funded enterprise conversational AI platform (Series A/B, ~$23M+ funding) with significant revenue (est. $25M-$50M) and global reach (40+ countries, 2B+ annual interactions). While the submission data was poor (e.g., claiming 'most people have used my product' without context), external verification confirms it is a market leader (IDC 2025) with high utility in healthcare and banking. The score reflects its 'Much Larger Scale' status compared to the baseline, despite the low-effort 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+202
Audience Reach Impact+162
Technical Innovation+91
Evidence Of Traction+213
Market Timing Relevance+54
Functional Completeness+1
Subtotal+725
Usefulness Multiplierx0.9
Final Score+653

Project Details

Project URL
Description
Avaamo, a venture-funded enterprise software company, aims to reinvent the way we communicate, transact and work using conversational AI.\n\nAvaamo’s core offering is a platform that combines artificial intelligence, machine learning, conversation design, and integration to legacy enterprise workflows. The platform simplifies the time needed to design and deploy virtual assistants to employees and customers.\n\nThe benefits of this technology can be seen across industries including telecommunications, banking, insurance, and healthcare. Companies can streamline and improve their service desk; insurers can generate quotes in minutes, and health care providers can help diabetics or cardiovascular patients by monitoring their health care through a virtual assistant.\n\nAvaamo is offered as a SaaS service and is founded by enterprise veterans. With offices in Los Altos, California, and Bangalore, India, Avaamo is funded by investors from Japan, China, and Silicon Valley.
Audience Reach
everyone
Target Users
everyone
Technologies
Chatbots, Software Development, Machine Learning
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