Company research, ready before you ask.
Finbly gathers company filings, earnings calls and specialist research, then selects the evidence relevant to your question. Spend less time assembling information and more time understanding the investment.
Finbly brings together specialist AI analysts, company evidence and financial calculations to help you understand a stock’s business, valuation and risks—with research you can inspect, not just an answer to read.
AI provides the reasoning. Finbly brings the research behind it.
Evidence gathered and organised, specialist findings brought together, and the numbers calculated the same way every time.
Finbly gathers company filings, earnings calls and specialist research, then selects the evidence relevant to your question. Spend less time assembling information and more time understanding the investment.
Focused AI analysts examine different parts of the investment case. Financial engines calculate the numbers using consistent formulas, keeping the calculations separate from the AI’s interpretation.
Finbly keeps company evidence and past findings connected as new information arrives, helping you follow how the business and investment case change over time.
A dated summary of what moved, why it matters and what to watch, with links to the contributing specialist research.
Put the platform’s research to work on your investment questions—with company evidence already on record.
Follow relevant, documented links to customers, suppliers and competitors—and examine their own evidence.
Inspect the company sources, dates and research supplied, including where coverage stops.
Click follow-ups tied to the answer. Understand the evidence or explore what could happen next.
Evidence and freshness vary by company. Forward-looking scenarios are not established outcomes.
Financial calculations run through fixed formulas. Specialist availability varies by company. Explore the method →
You can use ChatGPT or Claude for stock research. Finbly adds a dedicated research workflow: company evidence gathered and organised, specialist findings brought together, and financial calculations handled by defined formulas. Instead of assembling that workflow yourself, you start with a workspace built for researching stocks.
Finbly puts the stock-research workflow together for you.Finbly supplies relevant company financials, research and source references. This grounding helps reduce hallucinations by giving the model evidence to work from, while selecting relevant material reduces the need to process entire filings and transcripts.
NVDA example · 9 questions · Anthropic · Claude Fable 5.1 · with web search
288 estimated pages of source material. Answer usage recorded 2026-09-08; bundle counted 2026-09-08 using Anthropic count_tokens (claude-sonnet-5). Token counts vary by model and question. This compares input volume, not total token cost or subscription savings.
We asked Claude Fable 5.1 9 questions about NVDA with and without Finbly’s research. The baseline had web search available, without Finbly documents; this compares the same model, not the full ChatGPT or Claude products. These checks measure content coverage, not hallucination rates.
Comparison run: 2026-09-08
The model had web search available, without Finbly company documents.
Its 9 answers matched 43 checklist items out of 84.
The same model received company research selected by Finbly for each question.
Its 9 answers matched 71 checklist items out of 84.
Checklist matches measure selected content, not correct reasoning. Number occurrences and research tags do not establish claim accuracy; inspect the original answers and supporting passages.
Across 9 answers on each side, the check examined 486 numbers without company documents and 441 with Finbly research. These are automated checks, not an overall accuracy score.
Repeated category tags, not unique sources. Legacy web-citation metadata is incomplete, so a zero does not mean no sources were used.
Exact or precision-rounded scalar occurrences. This does not verify the associated claim.
The value is the accumulated evidence and history around each company, kept current as new information arrives, not any single model.
Review fundamentals, earnings calls, news, guidance, ownership, risk and valuation in one company workspace.
Open NVIDIA →Relationship intelligenceExplore disclosed supplier and customer relationships, with evidence quality and concentration.
Explore the network →Verified dataCompare filing-based financials using consistent definitions, with sources and validation checks.
Use the screener →Smart-money layer13F histories, position changes and manager sources, labelled with their reporting limits.
Track investors →Planned: saved portfolios and personal thesis memory, built on the existing company research record.
No match in the saved packet, or an ambiguous range. This does not mean the number is wrong.