Capital Markets & Research AI
F

Finster AI

Finster AI sells a research and agent platform to investment banks, asset managers and private credit teams. Explorer answers open ended analyst questions across filings, research, data and uploaded documents, with citations that open the exact sentence or table cell behind a figure. Tasks run multi step workflows in the background on a schedule or a trigger, such as a new earnings transcript. PowerPoint Automation builds client and committee decks, company primers, strip profiles and CIMs in a firm's own templates, and the Finster Dashboard shows what has changed across each covered company.

Finster's engine powers FactSet AI for Banking, which FactSet launched in alpha in March 2026 alongside an investment in Finster. UBS Investment Bank made a strategic investment in August 2026 as part of Finster's Series B. Data comes from FactSet, PitchBook through its Premium Connector, Preqin and MT Newswires, on top of a proprietary pipeline of more than a million documents on over 8,000 companies with deep EMEA and APAC coverage. Finster offers single tenant and containerized private cloud deployments in US and European regions, supports bring your own language model, commits in its terms never to train on customer data and states SOC 2 Type II compliance.

Sid Jayakumar founded Finster in 2023 after seven years of AI research at Google DeepMind. FinTech Collective led its Series A in 2025, and the company is headquartered in London and expanding in New York.

Last VerifiedOctober 10, 2026
Compare Finster AI with other vendors
Founded
2023
Headquarters
London, England, United Kingdom
Website
www.finster.ai
Categories
capital-markets-ai, wealth-and-advisory, compliance-and-surveillance
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 11 graded A or B

AI Capability
AI Centrality
AA on AI CentralityThe artificial intelligence is the product. Remove the models and there is nothing left to sell.
Vendor Published

Agents do the core work. Explorer reasons across documents and data to answer analyst questions, Tasks run research workflows on their own when a schedule or an event fires, and PowerPoint Automation turns the analysis into decks in a firm's format. All of it sits on Finster's own retrieval pipeline, which blends semantic and keyword matching across its document collection. Without the models there is a document store and nothing that reads it.

Autonomy and Oversight Model
BB on Autonomy and Oversight ModelA written commitment that the models work alongside human judgment, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.
Vendor Published

Tasks run multi step workflows such as earnings analysis, peer comparison or risk screening on a schedule or when an event lands. A new earnings transcript is detected within minutes of a call ending, the saved workflow runs without anyone starting it, and an email says the output is ready for review. Coverage agents alert bankers to new filings and developments and can update pitch decks and CIMs automatically. Task agents show their plan and the steps they took, but Finster describes no approval step before an automatically updated deck is used.

Model Risk Management and Transparency
BB on Model Risk Management and TransparencyReal transparency mechanisms are published, such as per alert explainability, confidence scoring or split testing, without the validation package or supervisory mapping behind them.
Vendor Published

A proprietary citation method opens the exact table cell or sentence behind a figure in one click, and every insight carries an auditable source trail. Task agents show the plan and steps they took, Explorer keeps its reasoning visible, and Finster's own agent framework keeps an audit trail of data and AI flows. Retrieval blends semantic and keyword matching, with pre filtering and reranking tuned to financial questions. Finster's terms warn that the model can produce incorrect output and leave users to judge its accuracy, and no accuracy figure or evaluation result is given.

Operational and Outcome Evidence
BB on Operational and Outcome EvidenceVendor aggregate claims with real figures, or audited scale disclosures from a publicly listed company.
Vendor Published

FactSet invested in Finster and built FactSet AI for Banking on its technology, launched in alpha for select clients in March 2026, and Kate Stepp, FactSet's chief AI officer, is quoted on the partnership. UBS Investment Bank made a strategic investment as part of Finster's Series B in August 2026, and Greg Peirce, co head of global banking for Asia Pacific and the bank's AI business sponsor, is quoted on it.

Finster says it works with tier one global investment banks and asset managers without naming them. Weaviate, its vector database supplier, adds that a single tenant test with one such bank began within a day. Finster gives no usage or outcome figure.

AI Safety and Data Stewardship
AA on AI Safety and Data StewardshipThe cross client data boundary is answered specifically and falsifiably: commitments like zero training on customer data or per customer model instances.
Vendor Published

Finster's terms of service commit that it will not train its AI model on customer data, though they allow customer data and feedback to be used to improve the model's retrieval and accuracy. Each client can run in its own single tenant environment or in a containerized deployment inside its own cloud, and data controls work at the user or organization level within the firm's governance perimeter. Customer data remains the customer's property under the terms. Clients can also bring their own language model.

Regulatory and Compliance
GLBA and Data Privacy Posture
BB on GLBA and Data Privacy PostureA substantive privacy document that reaches the product itself, short of the subprocessor list or the full data handling detail.
Vendor Published

The privacy policy of Finster AI, Inc., effective July 20, 2026, covers the website and the software platforms. Where staff use Finster under an employer's agreement, that agreement governs the data and the employer controls it, and for users in Europe, the UK and Switzerland Finster acts as controller of the personal information it collects. Data can move to the United States and other countries under safeguards the policy does not name, and retention runs as long as reasonably necessary. No service providers are named, and a data protection officer is appointed through Workstreet. Under the terms of service, customer data remains the customer's property.

Security Certifications and Trust Center
BB on Security Certifications and Trust CenterA recognized certification named in the vendor’s own material without the artifact, or with a scope or renewal question the buyer has to raise.
Vendor Published

Finster states SOC 2 Type II compliance and describes a zero trust model built on least privilege access and multi factor authentication with continuous verification. Fine grained role based access control and audit logging support incident response and threat detection, and vulnerability scanning, patching and remediation run continuously. Third party firms carry out regular penetration tests and security audits. The report itself, its auditor and its period are not available, and there is no trust center.

Regulatory Status and Licensure
CC on Regulatory Status and LicensureThe regulatory position is unstated. Most vendors in this index are technology suppliers and being unlicensed is the correct posture, so this grade records silence about the posture, not a missing license.
Vendor Published

Finster holds no license. It acknowledges that its banking users routinely handle confidential information and material nonpublic information, yet ties no rule on information barriers, recordkeeping or client communications to the product. Those users include broker dealers whose decks and client messages fall under FINRA communications rules, and Finster does not say how generated output reaches a firm's supervised records.

AI Governance and Bias Disclosure
CC on AI Governance and Bias DisclosureResponsible artificial intelligence committed to in policy language with no evaluation behind it, on a product whose bias surface is modest.
Vendor Published

Companies and markets are the subjects of this work, so the governance questions are accuracy and which developments the agents choose to surface. Proactive agents decide which events across a coverage universe deserve attention, and Finster does not explain how that choice is made or checked. Output also adapts to each user's role, templates, style and tone, with no account of how those learned preferences are reviewed.

AI Liability and Recourse
CC on AI Liability and RecourseMechanisms that enable challenge, such as audit trails and source traceability, with nothing standing behind the output and no route for the person affected.
Vendor Published

A deck carrying a model error reaches clients as the bank's own work. Finster's terms of service, updated September 2, 2026, provide the subscription as is, warn that the model can produce incorrect output and put the duty to check accuracy on the user. Liability is capped at the fees paid in the three months before a claim, or $1,000 for a free evaluation, and the customer indemnifies Finster rather than the reverse. Third party data from FactSet, PitchBook and Crunchbase is used at the customer's own risk.

Integration and Deployment
Model Supply Chain Disclosure
BB on Model Supply Chain DisclosureSubstantial partial disclosure, or a chain that is structurally short: an explicit in house build, on premise deployment, per customer instances, or zero retention at the model layer.
Vendor Published

Data suppliers are named, from FactSet, PitchBook, Preqin and MT Newswires to Crunchbase, whose terms sit as exhibits to Finster's own, and Weaviate names Morningstar and SEC filings among the feeds behind Finster's pipeline. Weaviate Enterprise runs the vector database, holding 42 million vectors in production by Weaviate's account. Clients can bring their own language model, and Finster describes the platform as model agnostic, but the default models and the subprocessors are not named.

Core Systems and Integration Depth
BB on Core Systems and Integration DepthNamed systems or a documented public API, with the depth or the production evidence left open.
Vendor Published

Finster connects to a firm's own data, CRM systems and outside providers. PowerPoint Automation builds decks natively, and FactSet AI for Banking carries Finster into Excel and PowerPoint for FactSet's clients. The PitchBook Premium Connector brings in companies, deals, investors, funds, key people, cap tables, deal terms and the limited partners around a company or fund, for clients with their own PitchBook license and single sign on.

Preqin adds fundraising, transaction and fund performance data across private asset classes, and MT Newswires streams real time news on equities, credit, commodities, FX and macro. Identity runs through SAML single sign on, SCIM provisioning and directory sync with Microsoft Entra ID and Google Workspace. No public API documentation is offered.

Deployment Model and Data Residency
AA on Deployment Model and Data ResidencyOn premise or hybrid deployment is offered and documented, alongside where data rests.
Vendor Published

Single tenant environments are tailored to each customer, and containerized deployments run inside the customer's own cloud, with data regions in the United States and Europe. Customers keep control of their security configurations and policies. The vector database runs on Weaviate Enterprise in single tenant or multi tenant form depending on the customer, and FactSet AI for Banking offers virtual private cloud and single tenant options to FactSet's clients.

Commercial
Commercial Transparency
CC on Commercial TransparencyNo price is published and engagement runs through a demo form, which is the norm in this index.
Vendor Published

Finster prices by quote, and cost per user, per team or per deployment is not given, nor what a single tenant deployment adds. Its terms of service, updated September 2, 2026, cover the paid subscription and allow a free evaluation. Either side can end the agreement for convenience on 30 days' notice, but an active order form runs until it expires. PitchBook data comes through the buyer's own PitchBook license, whether seat based, unlimited or trial, and FactSet AI for Banking reaches banks as a FactSet product.

Institution and Segment Coverage
BB on Institution and Segment CoverageNamed segments with dedicated material behind part of the coverage.
Vendor Published

Investment banking, asset management and private credit teams are the users. Bankers use Finster across the deal cycle for comps, company primers, strip profiles, CIMs and industry reports, and coverage agents keep them current on filings and news. Private markets teams screen funds and deals on Preqin and PitchBook data across private equity, venture, private debt, real estate, infrastructure, natural resources and secondaries.

The document pipeline covers more than 8,000 companies with deep EMEA and APAC coverage, and FactSet AI for Banking carries the engine to FactSet's banking clients. Lending operations, insurance and retail banking are outside it.

Tracked Since Listing

Product updates

Material product, regulatory, evidence and commercial changes at Finster AI, each verified against a live source and tagged to the capability axis it bears on. Funding rounds and awards are not product changes and are not logged.

Aug 18, 2026Integration / interoperability

Finster AI released a PitchBook Premium Connector integration, bringing private capital market data into Finster workflows.

Bears on: Core Systems and Integration DepthSource
Our read on this update →Tracked since Aug 2026
Head to Head

Compared With

Most editorial comparisons pair two vendors the index assesses as direct competitors for the same buyer. Some pair vendors that are adjacent rather than rival, where the useful question is where one ends and the other begins. Each carries a verdict, the buyer conditions that favor each vendor, and a graded side by side.

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The index publishes no overall score or ranking. See what we assess and the methodology.

Commercial

Pricing

Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.

No pricing data has been verified for this vendor. Pricing information will be published here once confirmed through vendor disclosure or third-party estimation.

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AI FinTech Index

The AI FinTech Index is an independent index that tracks changes to AI vendors in financial services. It holds 610 vendors across banking, lending, insurance, wealth, capital markets and financial crime compliance, each graded on the same 15 capability axes from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
October 20, 2026
The AI FinTech Index is an editorial reference, not a regulatory body. Vendor data is verified against published sources and public regulatory filings. Figures labeled “Estimated” have not been confirmed by the vendor. See the Methodology page for evaluation standards and limitations.
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