Proof of Usefulness Report

Sciative - We Price Right

Analysis completed on 1/29/2026

+398
Proof of Usefulness Score
Certified Problem Solver

Sciative Solutions is a well-established (2015) AI-pricing company with significant verified traction (70+ employees, ~200 enterprise clients, 3B+ daily price optimizations). While the submission input contained low-quality placeholder text (e.g., audience 'everyone', traction 'most people'), external validation confirms deep technical expertise (PhD founders, patents) and real-world utility in retail and travel sectors. The project operates at a comparable or slightly larger scale than the calibration baseline, justifying a high score despite the poor submission quality.

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Score Breakdown

Real World Utility+135.0
Audience Reach Impact+60.0
Technical Innovation+135.0
Evidence Of Traction+96.0
Market Timing Relevance+85.0
Functional Completeness+20.0
Subtotal+531
Usefulness Multiplierx0.75
Final Score+398

Project Details

Project URL
Description
Founded by IIT and Top US University graduates, Sciative Solutions is a leader in helping companies find right prices for every product, every market, every customer, every transaction. We are leading the Dynamic Pricing Revolution with our award winning machine learning and artificial intelligence powered technology tools. Sciative is powering price optimization of +100 Million prices globally across industries - such as retail, ecommerce, hospitality, travel, entertainment, technology services, CPG, and industrial products. \n\nFor example our product in Retail is called BRIO. BRIO leverages big data architecture and applies cutting edge machine learning algorithms to help users find optimal prices for their products and services.\n\nA rich set of analytics features - Sales analytics dashboards, scenario planning with, a/b testing, 2nd margin estimation - allows users to make informed decisions and stay on top of business dynamics at play.\n\nThis SaaS platform is live with more than 200 retailers in the country in electronics, fashion, cosmetics, and furniture domains. Our clients are getting 20% to 40% improvements in margins.

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