Proof of Usefulness Report

Nowasys Ltd.

Analysis completed on 2/19/2026

+55
Proof of Usefulness Score
You're In Business

Nowasys Ltd is a UK-registered micro-entity (inc. 2013) offering standard IT/data consultancy services. While the company is legally registered, the submission contains significant exaggerations and verifiable inaccuracies. Key red flags include claiming a team size of 350+ and '500 experts worldwide' while filing Micro-company accounts (indicating <10 employees), and stating 'most people have used my product' without evidence. The revenue claim of '2,500,000 all time marketcap' is ambiguous and low for a 13-year-old firm with the claimed headcount. The website uses high-pressure marketing tactics (countdown timers) and virtual office addresses. The project appears to be a small agency misrepresenting its scale.

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Score Breakdown

Real World Utility+30
Audience Reach Impact+10
Technical Innovation+20
Evidence Of Traction+10
Market Timing Relevance+40
Functional Completeness+10
Subtotal+60
Usefulness Multiplierx0.92
Final Score+55

Project Details

Project URL
nowasys.com
Description
Nowasys is a Data Engineering company based in the United Kingdom. Nowasys team is by far the most dedicated, talented, bunch of professionals who have been building complex automated solutions for over the past 18 years around the Globe. NowasysTeam has worked with a variety of Data Engineering, Big Data, Business Analytics, Business solution, Business Intelligence, Visualization Tools, Websites, Mobile, and Enterprise solutions to help many organizations, businesses, and clients of small, medium, and large-scale. > Full Stack Developers Team > Web Development & E-commerce Development > Web & Mobile Design > Mobile Development Team > Agile Equipped Project Managers and Product Management > BigData, DevOps, Cloud, Security, Machine Learning Engineers > Other - Data Science & Analytics > Desktop Software Development > QA Automation and Dev for QA Nowasys Ltd team has expertise in tools and technologies: Key Areas: ✔ Data engineering,Big Data: Business Intelligence, Machine Learning, Data Analytics, Apache Spark, Hadoop, Apache Storm, Apache Kafka, IOT, MQTT, Amazon AWS ✔ Domains: Retail Sector, B2B, B2C, C2C, Mobile, Healthcare, Industrial Automation, Loyalty (Campaign, points, rewards). ✔ Technology: Java, Rest, JSON, Microservices, Reacts.js, Node.js, Python, PHP Laravel, Vue.js, HTML5, CSS, JavaScript, TypeScript, Apache Camel, ActiveMQ, Spring Framework (MVC, Integration, Batch, Security), Hibernate, Web Services (Restful, Soap) ✔ Mobile: Android, IOS, Blackberry, Phone gap, Cordova, HTML5/CSS3 ✔ SQL Databases: Oracle, My Sql, Sql Server ✔ No SQL Databases: Cassandra, Redis, MongoDB, Hive, Elastic Search ✔ Enterprise: Maven, Gradle, JUnit / Mockito, Amazon S3. ✔ Continuous Integrations: CI/CD Pieplines, Bitbucket Pipeline, JIRA, Jenkins, Sonar, Nexus ✔ E-commerce Marketplaces: Ebay, Amazon, OnBuy, NewEgg, Walmart, Rakuten, Etsy, etc.

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