MinDD: Bridging the Gap for Startups and Investors with Smart Insights

MinDD’s vision was bold: streamline fundraising with AI. CodeLink helped make it a reality by working as their end-to-end advisory, design, and development team. We helped to fully develop the AI platform, covering both startup and investor portals, creating rating reports, and enabling smart matchmaking. Our partnership transformed an ambitious idea into a fully complete platform.

Market-Validated Concept

Received exceptional feedback from the client's network and potential leads, helped to move from an open idea to a validated market-ready product.

Dual-Portal MVP Launch

Successfully developed and launched a two-sided platform for both startup and investor users.

Advanced AI Pipeline

Engineered a sophisticated AI pipeline to analyze and benchmark startups across multiple complex data points.

Third-Party Integrations

Enabled integrations with key accounting platforms such as QuickBooks and Xero to ensure high data integrity.

About the client

Mind AI is one of the pioneers of the "Third Wave" of Artificial Intelligence, replacing the statistical guesswork of traditional LLMs with Human-Like Reasoning. Having secured $1.2 million in seed funding in early 2025 and launched its high-utility $MA token ecosystem, Mind AI is the first to solve the "Black Box" problem in enterprise intelligence, providing a 100% transparent and explainable AI engine.

The challenge

Startups often struggle to present structured, reliable data to investors. MinDD aimed to solve that industry challenge with a platform to automate data extraction, generate reliable analysis, and intelligent matchmaking. However, the only problem was to get moving: MinDD was a solo founder team and needed support on the entire concept to release lifecycle.

High-Precision Investor Matchmaking

A core value offering of the product was its ability to facilitate successful connections. This demanded a sophisticated matchmaking method capable of understanding the nuanced needs of both startups and investors to suggest and recommend the most suitable pairings, maximizing the probability of successful fundraising.

Reliable Data Extraction

Startup documents such as pitch decks and financial reports come in inconsistent formats. The platform required a fast, stable, and resilient system to accurately extract key figures and information from these varied sources, ensuring the foundation of the analysis was solid and dependable for all downstream processes.

Accurate Rating Reports

To provide true value, the platform needed to autonomously generate comprehensive rating reports with minimal human intervention. This required processing data from submitted documents, third-party platforms, and public websites to produce a rich, correct, and holistic analysis of a startup's market position and potential.

Why CodeLink?

MinDD’s founder had worked with CodeLink during the foundational period of building LeapXpert as a member of the LeapXpert team. This exposure built a proven trust in our expertise to build enterprise solutions that leveraged complex AI. And naturally, CodeLink was chosen for the project.

The result

CodeLink successfully built up the MinDD platform from concept to market-ready, featuring robust portals for both startups and investors. Early demos received high praise from industry leaders, confirming strong product-market fit. This helped pave the way for the platform’s ongoing development.

Hybrid AI Model for Data Extraction

We engineered a sophisticated solution combining rule-based algorithms for structured data (tables, formulas) with LLMs for unstructured text. This hybrid approach ensures both precision and speed, creating a reliable and resilient data extraction pipeline that serves as the engine for the entire platform.

Enhanced Data Integrity for Auto-Reporting

To ensure fully autonomous and accurate reports, we focused on data integrity. We improved our core extraction engine and enabled direct integrations with third-party accounting platforms like QuickBooks and Xero. This provides a reliable, verified source of information, dramatically improving report quality.

LLM-Powered Intelligent Matchmaking

Our initial solution is an LLM-powered funnel that filters and ranks potential investors. This serves as the groundwork for our next phase: developing a more traditional, data-driven recommendation system to provide an even more robust and precise matching engine.

MinDD: Bridging the Gap for Startups and Investors with Smart Insights

About the client

The challenge

Why CodeLink?

The result

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