F2 vs Finster AI (2026)
F2 and Finster AI meet in private credit, and the decision is whether a credit team needs a specialist built around underwriting and loan monitoring or a broader research platform that also serves credit. F2 is built for lenders. It spreads financial statements, synthesizes data rooms, drafts IC memos and models, and writes every calculation into an Excel Databook traced to the source file, sheet and cell. Finster serves investment banks and asset managers first, with private credit alongside, and its strength is research synthesis, event driven coverage and decks. The two overlap only where a credit fund also wants research help, so treat this as an adjacent comparison rather than a straight rivalry. F2 can point to Golub Capital's $5 million investment and planned deployment and to a dated Decathlon Capital case study in which certain diligence tasks fell by roughly 25 to 50 percent. Finster points to FactSet and UBS as investors and names no client. Neither offers an accuracy commitment for figures that reach an investment committee.
- Underwriting is the job. F2 spreads statements into source linked workbooks, synthesizes data rooms of 90 files or more and drafts IC memos and models, with a deterministic Excel engine doing the arithmetic.
- You want each number defensible at committee. Audit Mode writes every calculation into a live Excel Databook with precedents and dependents traced to the source file, sheet and cell.
- You want named credit references. Golub Capital invested $5 million and will deploy F2 to augment its investment processes, and Decathlon Capital's case study reports diligence tasks cut by roughly 25 to 50 percent.
- You want to see the plan before the agent runs. Plan Mode, when a user asks for it, lays out assumptions, data sources, gaps and sequence and runs only once the user accepts.
- Credit research is one team among several. Finster serves investment banking and asset management alongside private credit, so one platform can cover research, decks and coverage across the firm.
- Your analysts work from FactSet. Finster powers FactSet AI for Banking and draws on FactSet, PitchBook, Preqin and MT Newswires data.
- You need deployment inside your own infrastructure. Finster offers single tenant environments and containerized private cloud deployment in US and European regions.
- You want to bring your own model. Finster supports a bank's own language model, where F2 routes work across models from Anthropic, OpenAI and Google.
This comparison is published by AI FinTech Index, an independent research platform that publishes independent ratings of AI vendors for financial services. F2 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
| F2 | Finster AI | |
|---|---|---|
| Primary category | Capital Markets & Research AI | Capital Markets & Research AI |
| Founded | 2025 | 2023 |
| Headquarters | New York, New York, United States | London, England, United Kingdom |
| Website | f2.ai | www.finster.ai |
Side by Side
Select any grade to read the note behind it.
| Axis | F F2 |
F Finster AI |
|---|---|---|
| AI Centrality | ||
| Autonomy and Oversight Model | ||
| Model Risk Management and Transparency | ||
| Operational and Outcome Evidence | ||
| AI Safety and Data Stewardship | ||
| GLBA and Data Privacy Posture | ||
| Security Certifications and Trust Center | ||
| Regulatory Status and Licensure | ||
| 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
F2
F2 builds an agentic platform for private credit funds and commercial banks covering deal screening, underwriting and portfolio monitoring. Adam, its deal agent, delegates to sub agents that build IC memos, models and decks, Institutional Knowledge turns a lender's past deals into a precedent base, and Plan Mode can show the analysis plan before it runs. According to the AI FinTech Index, F2's privacy notice names OpenAI, Anthropic, Google Gemini, Google Cloud Platform and Auth0 as key subprocessors.
Source: AI FinTech Index, 2026
Finster AI
Finster AI sells research and agent software to investment banks, asset managers and private credit teams, and powers FactSet AI for Banking. Private credit teams screen funds and deals on Preqin and PitchBook data, Tasks run research when events land, and citations open the exact sentence or table cell behind a figure. Finster runs single tenant or in a client's own cloud in US and European regions and supports a bank's own language model.
Source: AI FinTech Index, 2026
Common questions
Is F2 or Finster AI better for private credit?
F2 is built for credit underwriting and loan monitoring, with lenders such as Golub Capital, Decathlon Capital and Live Oak Bank as references. Finster suits a firm that wants research and decks across banking, asset management and credit on one platform. 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.
How does each make AI figures checkable?
F2 writes every calculation into a live Excel Databook traced to the source file, sheet and cell, and by its own account its spreadsheet engine scores 95.25 percent on SpreadsheetBench Verified. Finster's citations open the exact sentence or table cell a figure comes from, and its task agents show the steps they took. 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 models do they use?
F2 named Opus 4.8, ChatGPT 5.5 and Gemini 3.5 Flash in June 2026, and its privacy notice lists OpenAI, Anthropic and Google Gemini among key subprocessors. Finster does not name its default model and supports a bank's own. 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 F2 and Finster train on client data?
Both say no. F2 covers data room documents, diligence files and IC outputs under what it calls a Zero Data Retention Agreement, though its privacy notice keeps service data after a relationship ends for its own analysis. Finster's terms bar training on customer data while allowing its use to improve retrieval and accuracy. 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 Capital Markets & Research AI page.
These products sit in different segments, credit underwriting for F2 and research for Finster, and overlap only where a credit fund also wants research help. F2's summary of the Decathlon study rounds the result up to a flat 50 percent, while the study itself says roughly 25 to 50 percent, based on internal feedback. Neither vendor offers an accuracy commitment for a figure that reaches an investment committee, and Finster's terms cap its liability at three months of fees.