ToltIQ Reveals Insights on AI Models for Due Diligence Tasks

Unveiling the Future of AI in Private Equity Due Diligence

ToltIQ, a frontrunner in AI-driven solutions tailored for private market due diligence, has conducted an illuminating study that compares the performance of notable large language models (LLMs) employed for private equity workflows. This research exemplifies ToltIQ's dedication to continuously assessing evolving AI models, ensuring clients have access to the best tools available.

Comprehensive Evaluation of Leading AI Models

The study thoroughly examined three leading models: Anthropic's Claude 4 Sonnet, OpenAI's ChatGPT 4.1, and Google's Gemini 2.5 Pro Preview, which is currently under evaluation for integration into ToltIQ's offerings. Each model has unique capabilities that cater to different private equity use cases, showcasing their individual strengths.

Distinct Performance Characteristics

According to the findings, while all models presented commendable attributes, they shone in distinct areas:

• Claude 4 Sonnet emerged as the champion of analytical depth, excelling in delivering detailed financial analyses supported by precise data utilization and coherent logical reasoning. While this model generally took longer to generate responses, the quality of information provided was rich and succinct.
• ChatGPT 4.1 was recognized for its speed, producing the fastest response times with a high level of accuracy. Its structured outputs made it an optimal choice for situations requiring swift and comprehensive information retrieval.
• Gemini 2.5 Pro Preview distinguished itself through its extensive source utilization and ability to cover a broad range of documents. However, it was noted that it could generate verbose responses in certain contexts, impacting its effectiveness.

This analysis not only speaks to the overall effectiveness of each AI model but also highlights Claude 4 Sonnet’s highest qualitative score of 8.02 out of 10, surpassing ChatGPT 4.1's score of 6.62 and Gemini 2.5 Pro Preview's 5.81. The research employed a comprehensive evaluation framework that included metrics such as response time, source usage, and citation accuracy, as well as qualitative measures of relevance and reasoning capabilities.

ToltIQ's Commitment to Continuous Improvement

Ed Brandman, the CEO and Founder of ToltIQ, articulated the significance of these findings, stating, "This robust evaluation informs our model selection and confirms our commitment to providing investment professionals with a range of the best AI tools. Different models have their unique advantages, and our clients gain by having multiple options at their disposal. For instance, ChatGPT 4.1's rapid data gathering and Claude 4 Sonnet's deep analytical skills cater to varied complex reasoning tasks."

Critical Insights for Private Equity Professionals

Alfast Bermudez, who conducted the research, emphasized a vital insight from the study, noting that merely accumulating citations does not equate to superior due diligence outcomes. He remarked that Claude 4 Sonnet’s aptitude for synthesizing data and pinpointing limitations establishes it as a valuable asset for private equity professionals evaluating intricate investment prospects efficiently.

A Rigorous Methodology for Robust Findings

The methodology utilized in this study encompassed evaluating model performance across 16 specific use cases typical within due diligence scenarios, such as financial analysis and ESG assessments. To contextualize the challenge, a virtual deal room scenario featuring Amazon.com, Inc. was deployed, enabling the models to engage with extensive documentation that simulates the demanding environments faced by private market experts.

This process employed ToltIQ’s proprietary architecture, allowing the models to navigate complex data sets akin to real-world due diligence challenges. Both quantitative and qualitative analyses were integral to measuring performance, with expert human evaluations ensuring the assessment's credibility.

About ToltIQ

ToltIQ stands out as a leading provider of innovative AI solutions designed specifically for due diligence in private markets. Supporting general partners, limited partners, advisory firms, and family offices, ToltIQ leverages advanced AI along with industry expertise to enhance efficiency and accuracy in due diligence processes. By effectively processing deal-related documents typically found in virtual data rooms, ToltIQ uncovers critical insights rapidly, simplifying workflows for investment teams. Founded by Ed Brandman, a former partner at a renowned global investment firm, ToltIQ is dedicated to empowering professionals to focus on driving deal value.

Frequently Asked Questions

What models were compared in the study conducted by ToltIQ?

The study evaluated Claude 4 Sonnet, ChatGPT 4.1, and Gemini 2.5 Pro Preview for their effectiveness in private equity workflows.

Which AI model scored the highest in qualitative assessments?

Claude 4 Sonnet achieved the highest qualitative score with 8.02 out of 10, demonstrating superior analytical depth.

What strength did ChatGPT 4.1 exhibit in the study?

ChatGPT 4.1 was noted for having the fastest response times and providing well-structured outputs, making it effective for rapid information gathering.

How did the Gemini 2.5 Pro Preview perform?

Gemini 2.5 Pro Preview showed high source utilization but sometimes produced verbose responses, affecting its specificity and relevance.

What is ToltIQ's goal in assessing AI models?

ToltIQ aims to offer investment professionals optimal choices among the most capable AI tools available, enhancing the quality of due diligence processes.

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