ToltIQ featured in GP Stakes News
ToltIQ is positioning itself at the intersection of generative AI and private markets, with a focus on making diligence more efficient, accurate, and scalable.
By Max Greenstein
Republished from GP Stakes News. View original article.
ToltIQ’s platform applies retrieval-augmented generation (RAG) and a library of diligence-specific workflows to accelerate the review of financial, commercial, and legal documents. Underlying the system are multiple large language models from OpenAI, Anthropic, and Gemini (currently in beta), which ToltIQ’s research team is continuously testing.
Investcorp was among ToltIQ’s earliest clients. The relationship began with a review of legacy deals, where the platform compressed an eight-week diligence cycle into about one week. By iterating on questions, prompts, and outputs, Investcorp was able to build libraries that now streamline future processes.
The potential impact for GP stakes firms is twofold. First, efficiency: smaller teams gain leverage by reducing the time required to extract and structure information. Second, scalability: as check sizes increase from $50-100 million to $200 million and above, the volume and complexity of documents only grow.