Proof of Usefulness Report

Avazcare Ltd.

Analysis completed on 3/6/2026

+36
Proof of Usefulness Score
You're In Business

Avazcare (DeepKeeper) addresses a genuine need in the SME mental health space with its AI chatbot 'AIME'. While the company is a legally registered UK entity (inc. 2021) with an experienced Chairman (Graham Skelton), the submission contains hyperbolic and unverifiable claims (e.g., 'most people have used my product', 'everyone'). The discrepancy between the claimed team size (30) and the lack of significant digital footprint or revenue clarity suggests the project is in a very early or struggling stage. The submission quality was critically low, severely impacting the evaluation.

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Score Breakdown

Real World Utility+70
Audience Reach Impact+20
Technical Innovation+40
Evidence Of Traction+10
Market Timing Relevance+60
Functional Completeness+10
Subtotal+33
Usefulness Multiplierx1.1
Final Score+36

Project Details

Project URL
avazcare.com
Description
Mental health problems are a massive problem facing businesses of all sizes. AVAZCARE is a Freemium based model that will allow SME’s to develop an Employee Assistance Programme (EAP) by providing a free service of professional advice and counselling. 1 in 6 employees suffer from mental health issues affecting productivity at any time. These people are often afraid of seeking help in the workplace for fear of impacting their future job prospects. It is good business sense for businesses to support their workforce, but too expensive to deploy an in-house system that would guarantee anonymity. AVAZCARE offers a confidential, AI based mental health system that employers can deploy in an instant, free of charge. Employees can interact with “AMY” our on-line assistant, in complete anonymity and signpost users to professional help services. Premium options include on-line LIVE CHAT and integration with company provided services. Invented by Andy Reeve a former psychiatric nurse who later became an IT and online marketing entrepreneur and supported by Graham Skelton, a serial entrepreneur and partners with mental health skills.

Algorithm Insights

Market Position
Growing utility with room for optimization
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