Smart Contract Analytics Platform for Private Solution Verification
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Solution Overview
Problem
Current methods for evaluating data science and machine learning solutions require extensive manual negotiations and lack effective contractual frameworks for assessing solution providers without revealing sensitive data or ensuring payment, leading to inefficiencies and trust issues.
Innovation Solution
A digital platform utilizing smart contracts enables data upload and solution provision while preserving privacy, allowing evaluation and performance-based payments, with a centralized or decentralized approach, and leveraging a distributed ledger for secure and transparent interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a centralized platform is used to evaluate data science solutions, then solution quality can be assessed, but the customer must reveal sensitive data and algorithms to the platform provider
Solution Approach 1:
The evaluation process is segmented into multiple independent components: challenge definition, solution submission, automated evaluation, and result verification. Each component operates independently, allowing quality assessment without requiring the platform to access or store sensitive data and algorithms.
Solution Approach 2:
An automated evaluation system acts as an intermediary between the customer and solution providers. This intermediary objectively assesses solution quality based on predefined criteria without requiring direct access to sensitive proprietary information, thus maintaining privacy while ensuring quality measurement.
2Adaptability or versatility
If manual contract negotiations are used for evaluating solution providers, then payment terms can be customized, but the process becomes time-consuming and inefficient
Solution Approach 1:
Payment terms and evaluation criteria are predetermined and encoded in smart contracts before the evaluation process begins. This preliminary setup allows for customized terms to be established once, after which the automated system executes them without requiring time-consuming negotiations for each individual case.
Solution Approach 2:
Manual contract negotiation and execution is replaced with automated smart contract technology. The mechanical process of human negotiation is substituted with algorithmic execution of predefined terms, maintaining adaptability through programmable conditions while dramatically reducing time consumption.
3Ease of operation
If trust-based agreements are used with solution providers, then payment can be simplified, but the system requires high trust levels that are not always present
Solution Approach 1:
The system enables self-service evaluation and payment through automated processes. Solution providers submit their work, the system automatically evaluates it against predefined criteria, and payments are executed automatically. This eliminates the need for trust-based manual processes while maintaining operational simplicity.
Solution Approach 2:
An automated feedback loop is implemented where the evaluation system objectively assesses solution quality and provides verifiable results. This feedback mechanism replaces subjective trust with objective, transparent evaluation data, allowing simplified payment processes without requiring high trust levels between parties.
4Reliability
If decentralized approaches are used for the platform, then trust requirements are reduced, but system complexity increases
Solution Approach 1:
The platform is designed with universal components that can operate in both centralized and decentralized configurations. The same core evaluation logic and smart contract mechanisms function regardless of the deployment architecture, allowing trust reduction benefits without proportionally increasing complexity through standardized multi-functional design.
Data Source
AI summary
A method for offering data with objects to be performed on the basis of the data, providing solutions to the problems and verifying the provided solutions. The method including the steps of providing a digital platform; uploading the data with the object as challenge to the platform; uploading a smart contract relating to the challenge to the platform; transferring the challenge from the platform to at least one solution provider; uploading a signed hash of the solution provider's solution of the challenge to the platform; uploading the solution provider's solution of the challenge to the platform; and evaluating at the platform the uploaded solution based on predefined conditions.