your investment insights, faster.
The tool for analysts that reads, cites and presents data for rapid decision-making.
Transforming Investment Analysis
Finster is an AI-driven tool that supports investment analysts in making well-informed, meticulously researched decisions, at an unprecedented pace.
Built by a team with a wealth of experience across finance, AI and tech from Google DeepMind, Meta, J.P. Morgan to name a few, Finster AI is changing the way financial insights are discovered.
Our teams' background include:
Purpose-built to support complex investment decisions
Developed by a best-in-class AI team, Finster's intuitive technology quickly translates user instructions into comprehensive briefs, drawing exclusively from the highest-standard global sources, from earnings calls, reports, filings, and precise numerical data.
Purpose-built to efficiently support complex investment decisions, Finster accelerates your research process by rapidly gathering knowledge and producing customisable, streamlined reports in your desired format. Highlight opportunities, flag risks, and help analysts be in the best position possible to invest with confidence and clarity.
example use cases
Earnings Analysis
An essential tool for quickly extracting custom insights from quarterly earnings and investor calls. Enabling analysts to capture key information within seconds and easily assess the impact on your firm's investment thesis.
Completing custom sustainability reporting
Upload the structure of your custom ESG reporting and Finster will populate it with the latest information extracted from sustainability reports, annual reports, press releases, Science Based Targets, sustainability scores and more to automate this tedious task. Analysts can now save valuable time and focus on more impactful work. Streamline your process and enhance efficiency with our reliable solution.
Uncover red flags earlier
Finster can automatically scan filings, transcripts, financial statements, and news to uncover hidden red flags. Don’t wait until after days or weeks of research to assess risks. Identify potential concerns such as board or management turnover, synthesise negative news and legal proceedings, and unearth reporting anomalies in minutes to reduce the risk of wasted work.
Identify thesis fit and catch thesis drift
Codify your team’s thesis or an industry-specific thesis in Finster’s Workflows feature and assess how and to what extent an idea fits that thesis. Utilise Finster to test assumptions rapidly. Similarly, test how well that thesis holds as new information and earnings come out, by running your custom workflow templates.
Your analysts, accelerated
Finster is your team’s newest support system, delivering a radical uplift in knowledge-gathering capability and leaving your analysts with more time to spend on big-picture decisions, and better information to guide their investment recommendations.
It codifies the systematic elements of investment research workflows, automating the data gathering and synthesising of critical information, saving analysts hours.
Using only simple analyst-driven instructions, Finster completes exhaustive research and compilation processes in a few minutes that traditionally take hours or days, enabling your team to reach critical decisions faster, more efficiently, and with higher conviction.
Automate research tasks, backed by rigorous citations
Finster is trained to complete first-pass analysis on any investment idea, quickly directing analysts to the pathways with the greatest upside, uncovering risks, helping teams avoid opportunities that lack sufficient promise, and screening companies that lack the desired characteristics and thesis fit.
Alongside routine, task-driven analyses, the Finster platform can also carry out in-depth briefs, via our Workflows feature, to include deeper dives into company growth, supply chain and competition drivers, offering back capacity for analysts to deliver deeper, detailed analysis.
No matter the size of the brief, Finster saves your team hours by automating tasks in your research workflow, backed up with a comprehensive and transparent audit trail - with every source, reference and citation clearly and accurately stated.
Key platform features
Customisable workflows
Finster is analyst-directed, and can be adjusted to reflect each firm’s unique investment research processes.
End-to-end audit trails
Finster reports are exhaustively referenced, making it easy for analysts to fact-check and interrogate the findings with line-level and row-level attribution linked back to the source documents.
Rigorous corroboration
Finster compares findings across documents and competitors, tracks inconsistencies, and will alert the analyst if sources fail to pass the in-built credibility standards.
Extensive global data coverage
Finster combines premium data sources such as global earnings call transcripts, company fundamentals and estimates datasets from FactSet, with carefully curated and tagged SEC filings, annual reports, investor presentations, and sustainability reports.
Featured In
[Finster AI] is working with asset management firms as design partners to develop its product. The system ingests the same kinds of information that professionals at these firms already use, as well as some proprietary data, to automate the type of research that’s normally done by entry level hires in these firm
Founded by Siddhant Jayakumar, who spent seven years at DeepMind working across research and engineering before leaving last year to found Finster — an AI-powered platform to speed up investment banking research and workflows.
Investors
We are proud to have fantastic investment partners & customers, they include some of the most notable names in institutional investment in London, NY and beyond.
Our angels include the CEO and CTO of Cohere, senior members at OpenAI, Meta AI and DeepMind, and seasoned operators in the fintech and capital markets world (ex-Plaid, Stonepeak, UBS, etc.)
We are proud to be backed by Hoxton Ventures and leading angel investors across AI and Finance.
