Farsight has launched Freeform, an AI system that produces financial deal materials from a single prompt. The product is aimed at financial institutions that prepare documents such as Confidential Information Memoranda and pitch decks.
The New York-based company says the system can generate multi-page deliverables, including CIMs exceeding 60 pages, investment committee memoranda, and financial models. Freeform draws on transcripts, financial data, marketing materials and prior deal documents to assemble finished outputs in PowerPoint, Excel and Word.
Farsight is targeting one of the most labour-intensive parts of investment banking and other deal work, where junior staff often spend long hours reconciling spreadsheets, drafting presentation materials and formatting documents for clients. It argues these tasks remain difficult to automate with general-purpose AI tools, which tend to produce partial drafts rather than finished materials.
According to Farsight, Freeform is built around a firm's historical work to match internal standards and reduce editing before documents can be shared with clients. The system also learns from banker feedback and revision patterns over time.
That focus reflects a broader push across financial services to apply generative AI to highly structured workflows rather than broad consumer uses. Banks, private equity firms, hedge funds and wealth managers have been experimenting with tools that summarise documents, support research or assist with drafting. But many institutions remain cautious about accuracy, consistency and compliance when client-facing material is involved.
Office workflow
Freeform works directly inside Microsoft Office applications rather than through a separate platform. Farsight recently made its wider platform available across Excel, Word and PowerPoint, placing its software inside the tools finance teams use every day.
The approach is meant to address a practical issue in dealmaking workflows: presentations, spreadsheets and written memoranda are often developed in parallel and must stay aligned as assumptions, narrative and financial figures change. A system that updates these materials together may appeal to firms trying to reduce repeated revision cycles.
Kunal Tangri, Co-founder and Chief Operating Officer of Farsight, said this was the starting point for the product. "Finance has always attracted some of the most dynamic analytical talent in the world, but much of the early work still involves time-consuming manual tasks like reconciling spreadsheets and formatting presentations," Tangri said.
"We built Farsight to change that. Freeform produces complete deal materials with a single prompt, so professionals can focus on the human work that drives outcomes, like strategy and client relationships," he added.
Noah Faro, Co-founder and Chief Technology Officer, said the system was designed around how banks actually produce work. "Most AI tools can help generate a slide or summarize a document, but that's not the work bankers are measured on," Faro said.
"Freeform was designed to understand the context, data and prior work that firms rely on so it can generate complete deliverables that reflect how each organization actually operates," he added.
Funding backdrop
The launch follows a period of expansion for Farsight. The company raised USD $16 million in Series A funding last year to develop its AI platform for financial services.
The funding placed Farsight among a growing group of specialist software companies building AI tools for tightly regulated industries. In finance, the appeal lies not only in speed but also in preserving institutional knowledge, since firms often rely on templates, judgement, and experience drawn from past transactions and across multiple teams.
Farsight says Freeform is intended to capture that prior work and embed it in future output. In practice, the platform uses a bank's archived materials and revision history as a reference point when producing new documents.
The company says it supports firms across investment banking, private equity, hedge funds and wealth management. Its central argument is that institutional intelligence can be codified in software and reused across the deal lifecycle, rather than remaining locked in old presentations, spreadsheets and documents.
Whether firms will rely on AI-generated versions of important client materials at scale remains an open question. But the product's focus on complete deliverables rather than isolated drafting tasks marks a more direct attempt to move AI into the core production work of financial advisory teams.