AI Matching Score Policy
How your compatibility score is generated

Overview

SASAL’s AI Matching Score evaluates the true potential of a business partnership between companies.

Unlike traditional matching systems that rely on surface-level similarities, SASAL’s AI focuses on whether two companies can successfully create real business outcomes together.

What data is used to generate the score

The score is calculated based on multiple structured and unstructured data points extracted from both company profiles.

1. Company Profile Data

• Business description
• Services and capabilities
• Target industries
• Customer segment (e.g., startups, SMEs, enterprise)

2. Market and Geographic Data

• Operating markets (e.g., US, UK, Japan)
• Expansion intent
• Cross-border activity

3. Operational and Execution Data

• Team structure and global capability
• Service delivery model
• Readiness for partnership execution

4. Credibility Signals

• Certifications and licenses
• Strategic partnerships (e.g., accelerators, enterprise programs)
• Track record and institutional affiliations

5. Strategic and Behavioral Indicators

• Growth positioning and messaging
• Collaboration intent
• Business direction inferred from profile content

All inputs are processed through large language models to extract meaning, relationships, and business intent.

How the AI evaluates compatibility

The AI scores each match across five dimensions.

1. Market Fit (25%)

How well the companies align geographically and in their market focus

Evaluates:

• Region overlap
• Expansion alignment
• Cross-border compatibility

2. Capability Fit (25%)

How complementary the companies’ services and capabilities are

Evaluates:

• Functional complementarity
• Technical and service synergy
• Potential for combined value creation

3. Customer Overlap (20%)

How closely the companies target similar customer segments

Evaluates:

• Customer type (startup, SME, enterprise)
• Industry alignment
• Use case overlap

4. Execution Readiness (15%)

How ready the companies are to collaborate and deliver together

Evaluates:

• Operational capability
• Global delivery readiness
• Team structure and ability to execute

5. Trust and Credibility (15%)

How reliable each company is as a partner

Evaluates:

• Certifications and compliance
• Strategic partnerships
• Demonstrated track record

Scoring model

Each dimension is scored from 0 to 100 and combined using weighted averages.

Match Score =
(Market Fit × 25%)
+ (Capability Fit × 25%)
+ (Customer Overlap × 20%)
+ (Execution Readiness × 15%)
+ (Trust & Credibility × 15%)

Score interpretation

Score Range	Meaning
85–100	Strong match with high likelihood of immediate collaboration
70–84	Good match with strong potential and minor alignment needs
50–69	Moderate match with partial alignment
Below 50	Low compatibility and limited collaboration potential

AI decision logic

The system performs semantic analysis rather than keyword matching.

It evaluates:

• Meaning and context of company descriptions
• Relationships between capabilities and markets
• Intent signals related to expansion and collaboration
• Patterns observed in successful cross-border partnerships

The final score represents the likelihood of practical business success, not just conceptual similarity.

What makes SASAL’s approach different

Traditional systems match companies based on categories or keywords.

SASAL’s AI focuses on the probability of real outcomes, including revenue generation, partnerships, and executable business opportunities.

How to use your score

The AI Match Score helps you:

• Identify high-potential partners efficiently
• Prioritize outreach and deal opportunities
• Reduce time spent on low-probability matches
• Discover strategic international partnerships

Final principle

This score is not designed to measure similarity.

It is designed to estimate the likelihood of successful business collaboration.