Proof of Usefulness Report

Thinking Machine

Analysis completed on 2/18/2026

+257
Proof of Usefulness Score
Gaining Momentum

The project is identified as 'Thinking Machine Systems' (UK), a legitimate B2B procurement SaaS founded in 2019, distinct from the high-valuation 'Thinking Machines Lab'. External research verifies significant real-world utility in complex spend analytics, with validated traction including enterprise clients like Telstra and SGN. However, the submission itself was of very poor quality, containing hallucinations ('most people have used my product') and false claims regarding audience reach ('everyone'), which heavily penalized the score. The project is technically sound and solves a genuine problem, but the presentation failed to reflect its actual B2B value.

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Score Breakdown

Real World Utility+102.0
Audience Reach Impact+24.0
Technical Innovation+45.0
Evidence Of Traction+65.0
Market Timing Relevance+34.0
Functional Completeness+1.0
Subtotal+271
Usefulness Multiplierx0.95
Final Score+257

Project Details

Description
Thinking Machine is a SaaS platform for analyzing supplier contracts & invoices at scale. Our patented tech automates the most complex tasks of consolidating, auditing, and optimizing all areas of enterprise technology spend, while ensuring the highest standards of data security and privacy to our customers (our solution is SOC-2 compliant!) . Our platform leverages all available data, including unstructured data, to help our customers overcome 360 spend visibility challenges so they can realize their ambitions for smarter spending and sustained savings in their procurement processes while closely aligning to the organization's P&L and strategic aims. In the last few years, we’ve been able to provide immense value to our customers by: -> Replacing Google OCR at a procurement technology vendor, driving a 30% uplift in data quality over messy invoices while processing up to 100,000 monthly invoices -> Accurately identifying almost $50m in savings in the last year alone for our customers ->Introducing a real-time invoice validation system against a Professional Service contract worth $500m a year which was experiencing a 10% error rate ->Introducing a proposal-to-spend forecasting system enabling Procurement to evaluate complex bids from strategic suppliers and finally winning executive support to walk away from a long-standing $30m contract with a strategic supplier for a lower-cost option.

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