The Future of Private Credit is Automated

Alkymi is Powering the Next Generation of Private Credit

Private credit is projected to grow into a $1.5 trillion to $2.6 trillion asset class by 2029, according to Morgan Stanley’s 2025 Private Credit Outlook. With that growth comes mounting operational complexity. From credit agreements, loan notices, and CIMs to financial statements, capital call notices, and more, the volume of unstructured data has exploded.

For investment and operations teams, this surge in documents presents a major challenge: how to scale investments and operations, manage risk, and maintain speed and accuracy.

At Alkymi, we’re transforming how firms handle private credit workflows. Using LLMs and agentic AI, Alkymi delivers intelligent automation specifically designed for the complexity of private markets.

The Data Challenge in Private Credit

Private credit workflows rely on extracting key terms, performance metrics, and critical dates from highly customized and often inconsistent documents. Manually processing them leads to delays, limits scalability, and increases operational risk.

According to The Next Era of Private Credit, a McKinsey report, machine learning and AI can enhance underwriting decisions and enable more effective portfolio monitoring, especially across large pools of assets. Automation also helps standardize and streamline credit processes, significantly reducing the time required to make decisions.

How Alkymi Helps

Alkymi’s AI-powered platform automates the entire lifecycle of unstructured data, from ingestion to structured output, data visualization, and delivery into downstream systems, giving teams the speed, accuracy, and control they need. To ensure full control, the platform includes a human-in-the-loop system where all data is reviewed by a human and linked back to its exact location in the source document, ensuring accuracy and auditability for compliance.

Leading asset and wealth management firms are already using Alkymi to:

Cut document processing times
Reduce operational risk and error rates
Scale with growing volumes, without growing headcount
Improve investor transparency and reporting

Alkymi integrates seamlessly into your existing workflows to automate:

Credit agreements: Extract and structure key terms, covenants, and amendments from complex legal documents.
Loan agent notices: Extract key data points such as principal balance, interest rates, amortization schedules, and payment events.
CIMs (Confidential Information Memorandums): Extract financials, projections, ratios, and other critical deal terms to accelerate underwriting and diligence.
Capital notices & account statements: Automatically capture contributions, distributions, and waterfall allocations with audit-ready accuracy.
Quarterly & financial reports: Parse and structure performance metrics such as EBITDA, cash, debt, revenue across portfolio companies.
Other workflows: Alkymi automates a wide range of document-driven processes beyond those listed here. Want to know if we support your use case? Let’s talk.

With Alkymi, you eliminate manual data entry, accelerate decision making, and scale your private credit portfolio with confidence.