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Benki
Interpretable artificial intelligence for M&A

What is Benki?

Benki provides interpretable artificial intelligence specifically tailored for Mergers and Acquisitions (M&A) processes. It focuses on enhancing due diligence, sourcing, risk analysis, and compliance within the financial sector. The platform allows users to generate deal documents dynamically using AI, update financial models instantly, and maintain transparency through audit trails that track both human and AI contributions, aiming to reduce compliance risks.

Users gain significant control over the financial AI through features like a model customization playground for creating AI agents in real-time. It supports the integration of custom knowledge sources, manages access permissions, and facilitates role assignments for virtual analysts. Benki also introduces FinBench Arena, an open-source platform for evaluating Large Language Models (LLMs) in financial scenarios, helping firms develop deployment strategies aligned with their specific needs and risk tolerance.

Features

  • AI-Powered M&A Analysis: Assists with due diligence, sourcing, risk analysis, and compliance in mergers and acquisitions.
  • Dynamic Document Generation: Instantly generates deal documents and updates financial models using AI.
  • Auditable AI Contributions: Tracks both human and AI inputs for transparent audit trails and reduced compliance risk.
  • Customizable AI Agents: Allows real-time creation and customization of AI agents through a dedicated playground.
  • Integration Capabilities: Supports custom knowledge sources, access permissions, and role assignments.
  • FinBench Arena: Provides an open-source platform for benchmarking LLMs for financial applications.

Use Cases

  • Accelerating M&A due diligence processes.
  • Improving deal sourcing and risk analysis accuracy.
  • Ensuring compliance with transparent audit trails in financial transactions.
  • Generating and updating financial reports and deal documents efficiently.
  • Evaluating and deploying Large Language Models for specific financial tasks.
  • Upskilling financial teams with AI tools.

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