Farsight vs Finster AI (2026)
Farsight and Finster AI both build the AI bankers use to produce pitch materials and research, and each now ships inside a data major's platform, so the choice is partly a choice of data estate. S&P Global Market Intelligence invested in Farsight in July 2026 and plans to sell it as an add on to Capital IQ Pro. FactSet invested in Finster and launched FactSet AI for Banking on its technology in March 2026. Beyond the data, the products lean different ways. Farsight is built around the finished deliverable, with Freeform writing CIMs of more than 60 pages from one prompt, matched to a firm's precedent and refined from senior bankers' redlines. Finster is built around research and coverage, with Explorer for analyst questions, Tasks that run when an earnings transcript lands, and citations that open the exact sentence or table cell behind a figure. Farsight also deploys on premises, and Finster runs single tenant or in a client's own cloud in US and European regions. Neither names the language models that write the work, and neither describes an approval step before generated material reaches a client.
- Your desk lives on S&P data. S&P Global Market Intelligence invested in Farsight and plans to sell its deliverable builder as an add on to Capital IQ Pro, so a Capital IQ shop can buy it through a relationship it already has.
- The output you need is the finished document. Freeform writes CIMs of more than 60 pages, pitch decks, IC memos and models from a single prompt, kept in step across PowerPoint, Excel and Word.
- You want the system to learn your house style from your own markups. Farsight keeps senior bankers' redlines as context, so the edits a VP makes become standards the next draft follows.
- You need the software inside your own data center. Farsight offers on premises deployment alongside a single tenant VPC on AWS and the customer's own cloud.
- Your desk lives on FactSet data. Finster built the engine behind FactSet AI for Banking and FactSet invested in the company, so a FactSet shop meets it inside a platform it already licenses.
- Research and coverage matter as much as decks. Tasks run earnings analysis, peer comparison or risk screening the moment a transcript lands, and analysts put open questions to Explorer.
- You want to bring your own model. Finster is model agnostic and supports a bank's own language model, with single tenant or containerized private cloud deployment in US and European regions.
- Your coverage spans Europe and Asia, or private markets. Finster's pipeline covers more than a million documents on over 8,000 companies with deep EMEA and APAC coverage, and Preqin and PitchBook data sit alongside it.
This comparison is published by AI FinTech Index, an independent research platform that publishes independent ratings of AI vendors for financial services. Farsight and Finster AI are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI FinTech Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Farsight | Finster AI | |
|---|---|---|
| Primary category | Capital Markets & Research AI | Capital Markets & Research AI |
| Founded | Not published | 2023 |
| Headquarters | New York, New York, United States | London, England, United Kingdom |
| Website | www.farsight-ai.com | www.finster.ai |
Side by Side
Select any grade to read the note behind it.
| Axis | F Farsight |
F Finster AI |
|---|---|---|
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| AI Governance and Bias Disclosure | ||
| AI Liability and Recourse | ||
| Model Supply Chain Disclosure | ||
| Core Systems and Integration Depth | ||
| Deployment Model and Data Residency | ||
| Commercial Transparency | ||
| Institution and Segment Coverage |
The short version of each
Farsight
Farsight builds AI that produces client ready decks, CIMs, investment committee memos and models inside PowerPoint, Excel and Word, matched to a firm's templates and past deals. Freeform, launched in May 2026, writes a full deliverable from one prompt, and proactive agents prepare materials from CRM records and deal history. S&P Global Market Intelligence owns a minority stake, PitchBook and North Data feed data in, and TresVista signed a multiyear agreement in October 2026. Farsight deploys in a single tenant VPC on AWS, in a customer's own cloud or on premises.
Source: AI FinTech Index, 2026
Finster AI
Finster AI sells research and agent software to investment banks, asset managers and private credit teams, and its engine powers FactSet AI for Banking. Explorer answers analyst questions with citations to the exact sentence or table cell, Tasks run workflows when an event such as an earnings call lands, and PowerPoint Automation builds decks in a firm's templates. According to the AI FinTech Index, Finster pairs single tenant and private cloud deployment in US and European regions with support for a bank's own language model. UBS Investment Bank invested in its Series B in August 2026.
Source: AI FinTech Index, 2026
Common questions
Is Farsight or Finster AI better for investment banks?
Both serve bankers. Farsight fits a bank whose bottleneck is producing finished CIMs, pitch books and models in its own style, and that works on S&P data or needs on premises software. Finster fits a bank that also wants research and event driven coverage, works on FactSet data, or wants to run its own language model. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified October 10, 2026. No vendor pays for placement.
Which data provider stands behind each?
S&P Global Market Intelligence made a minority investment in Farsight in July 2026 and plans a Capital IQ Pro add on, and PitchBook and North Data also feed Farsight. FactSet invested in Finster in March 2026 and launched FactSet AI for Banking on its technology, and PitchBook, Preqin and MT Newswires are among Finster's other data partners. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified October 10, 2026. No vendor pays for placement.
Do Farsight and Finster train on client data?
Both say no. Farsight says customer data never trains any model, its own or a provider's, and routes model calls through zero retention endpoints. Finster's terms of service bar training its AI model on customer data, though they let Finster use that data to improve retrieval and accuracy. Farsight also states that it takes in no sensitive or proprietary customer data, which sits awkwardly beside agents built to work from CRM records and past deals. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified October 10, 2026. No vendor pays for placement.
What do Farsight and Finster AI cost?
Both price by quote, with no seat price or tier offered up front. Farsight's version inside Capital IQ Pro will be sold by S&P Global as an add on at a price S&P has not announced, and Finster's terms allow a free evaluation. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified October 10, 2026. No vendor pays for placement.
Which language models do they use?
Neither names them. Finster supports a bank bringing its own model, and Farsight describes a model agnostic design with zero retention terms binding providers it does not identify. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified October 10, 2026. No vendor pays for placement.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Wealth & Advisory AI page.
Each vendor counts a data major as an investor and distribution partner, S&P Global for Farsight and FactSet for Finster, so a recommendation from either data provider's sales team is not neutral. S&P has put the Capital IQ Pro version of Farsight later in 2026. Both products produce material that reaches clients under the bank's name, and neither offers an accuracy commitment for it.