Due Diligence for M&A Transactions
We conduct in-depth technical due diligence prior to M&A transactions. We analyze technology assets, architecture, data quality, and intellectual property. This audit helps avoid costly mistakes, accurately assess the value of IT assets, and make informed investment decisions.
When is this especially relevant?
- The acquisition of an AI startup or technology company is planned, with a post-transaction integration plan.
- It is necessary to assess the technological maturity and viability of the solutions of the acquired company
- There are doubts about the quality of the ML/AI models, data, or architecture of the acquired company
- It is important to check the intellectual property and patent portfolio of the company being acquired.
- Financial valuation of technology assets is required
What can a business gain through Due Diligence before concluding a deal?
Risk reduction by 60-80%
Preventing technical and legal negative consequences after a transaction
Accurate valuation of technology assets
Taking into account the scalability potential, maturity of models and protection of intellectual property
Identification of regulatory and legal risks
From AI solutions' regulatory compliance to the risks of incomplete patent protection
Integration plan
A ready-made roadmap for uniting technology teams, IT systems, and product pipelines
The ability to make informed decisions
With confidence in technological due diligence and transparent analytics
Why do businesses choose to partner with us?
Narrow specialization in AI and deeptech
We are deeply immersed in the specifics of technological solutions based on artificial intelligence, machine learning, and data processing. This allows us to accurately identify weaknesses, overvalued assets, and technology debts that are invisible in a traditional audit.
Interdisciplinary team
The project team is comprised of specialists with experience in technology transactions: technical architects, financial analysts, and lawyers specializing in AI and software. This allows us to evaluate the company from multiple perspectives: technological, legal, business, and investment.
Proprietary methods for analyzing AI assets
We use our own system for assessing technological maturity, IP security, and scalability potential. The analysis includes dozens of parameters, from model transparency and quality to pipeline stability and compliance with ethical and legal requirements. This approach provides an objective and structured picture.
Integration planning, not just analysis
Unlike traditional due diligence, we don't limit ourselves to audits. We develop a realistic plan for integrating technology assets into the acquiring company's IT environment and business processes: from merging product pipelines to aligning teams and management processes.
Experience in transactions with various investor formats
We work with corporations, investment funds, corporate venture capital firms, family offices, and PE funds. We can tailor the depth and format of our analysis to the specific type of transaction – from a quick check of the technology focus to a full-fledged technical due diligence with a financial model and IP assessment.
How do we structure our work process?
- Tech Asset Valuation We conduct a technical audit of all key components of a target company's AI and digital solutions. We focus on solution scalability, technology debt, automation level, and development maturity. This provides the investor or buyer with a clear understanding of what exactly they are acquiring and the underlying technology.
- Risk Analysis and Compliance We analyze the risks associated with using third-party libraries and open-source components, as well as compliance with regulatory requirements and ethical practices. We also assess data management, security, internal machine learning policies, and potential challenges when entering international markets.
- Financial Valuation of Technology Assets A technical audit is used to create a financial model of the current and potential value of technology assets. We calculate revenue multiples, assess the scalability of solutions, the sustainability of the business model, and the potential return on investment. We utilize DCF approaches, risk-based valuation adjustments, and industry analogies.
- Integration Planning We develop a strategy for integrating technologies, people, and processes after the deal is closed. We determine which IT systems and AI solutions require migration, how to integrate teams, who is responsible for model maintenance, and what risks arise when integrating pipelines and data. This helps avoid operational disruption and more quickly integrate acquired technologies into the client's business.
AI consulting
People Strategy
Growth & Investment