We give corporate finance professionals a complete view of their market.

It starts much earlier: with understanding an industry, identifying a company, detecting an early signal, or connecting with the right person at the right time.

For years, this work has relied on manual research, scattered spreadsheets, and networks built one relationship at a time. These methods are valuable, but difficult to maintain, share, and scale.

We built Tittan to change that.

Tittan is a technology stack designed specifically for executives, M&A teams, investment banks, investment firms, and corporate finance professionals.

Its purpose is to turn complex market ecosystems into structured, explainable, and actionable intelligence.

Our work began with one of the most difficult challenges in deal sourcing: accurately understanding what a company does.

Two companies may use the same language while operating in entirely different businesses. Conversely, two companies in the same market may describe their activities in completely different ways.

In corporate finance, these distinctions matter.

Semantic Clustering and Machine Learning for Market Mapping

That is why we developed our own artificial intelligence engine, designed to interpret the semantic nuances of an industry, distinguish between adjacent activities, and understand the specific criteria behind each search.

Our semantic clustering and machine learning technologies allow us to map business ecosystems, group companies according to their actual similarities, and uncover relevant players that traditional search methods often overlook.

The goal is not to generate more results. It is to identify the right ones.

Finding a target is not enough. You also need to understand why it matters.

Explainable Scoring, Built for Your Acquisition Thesis

We developed one model to evaluate and rank companies based on the specific criteria of each search. We then built a second model to explain how that evaluation was produced.

Every score should be understandable.

Users can see which characteristics align a company with their acquisition or investment thesis, identify the factors that differentiate it, and make decisions based on clear, readable information.

Artificial intelligence does not replace professional judgment. It allows professionals to apply that judgment faster, across a broader universe, and with greater context.

Working alongside M&A professionals, we observed that a significant amount of strategic knowledge remained fragmented.

A target discovered online. A company recommended by an executive. A business mentioned in an article. A note saved in a spreadsheet. A contact buried in an inbox.

Individually, these pieces of information may seem minor. Together, they represent a critical part of a team's competitive advantage.

Capture Targets From the Web, Enrich Them Automatically

We therefore created simple tools to automatically collect, enrich, and organize the companies identified through day-to-day work.

A target can be saved directly from the web or added from an internal or external source. It immediately becomes part of the relevant market universe, together with its context, relationships, and history.

Research does not disappear. It compounds. Every search makes the next one stronger.

Markets are not made up of companies alone. They are shaped by people.

Executives, acquirers, investors, investment bankers, attorneys, advisors, and lenders form a constantly evolving network around every industry.

We brought these participants together in a global directory that connects each company to its broader dealmaking ecosystem.

Tittan helps users understand who is active in a market, which relationships shape that ecosystem, and which people can help advance an acquisition, sale, financing, or investment.

This directory is not simply a contact list. It is a living map of the market.

A network quickly loses value when it is not maintained.

Professionals change companies. Responsibilities evolve. Teams are restructured. Contact details become outdated.

Automated Contact Tracking Across Market Ecosystems

That is why we automated a critical part of the updating process.

Tittan tracks professional moves, refreshes available information, and reorganizes contacts within the market ecosystems to which they now belong.

A company's network no longer remains trapped in individual files and personal databases. It evolves with the market and becomes a structured, shared, and continuously enriched asset.

We do not build software in isolation from real transactions.

Our research and development is guided by the actual stages of acquisitions, divestitures, and financings, as well as the daily tasks performed by the professionals executing them.

We identify friction, examine repetitive work, and develop tools that simplify those processes without taking control away from the user.

Every week, our corporate finance, data, and engineering teams release new improvements designed to increase the platform's power, precision, and ease of use.

For years, corporate finance professionals navigated their markets one search, one spreadsheet, and one contact at a time.

An engine for understanding an industry.

An engine for finding and evaluating the companies that matter.

An engine for identifying the people who can move a transaction forward.

An engine for turning every search, every contact, and every engagement into a lasting advantage.