Financial Assistant
Ask your company anything
The Financial Assistant is a natural-language way into a company’s own analysis. A full evaluation covers a lot of ground, and the figure you need is usually several screens deep. Ask the question instead: NeuraCap assembles the relevant analytical context, synthesises an answer, and shows the figures and sources it used to get there.
- Plain-language questions
- Answers with figures
- Sources attached
- Scoped to your analysis
The story
The analysis is already there. Getting to the right part of it is the work.
Financial Assistant
A natural-language layer over the company's own evidence
- The problem
- A complete evaluation is long by necessity. In a live conversation nobody has time to find the right exhibit, and the question that matters is rarely the one a dashboard was designed to answer.
- Why it matters
- Analysis that cannot be interrogated quickly gets summarised badly, or ignored. The value of an evaluation is in its detail, and detail is only useful if it can be reached at the speed of the conversation.
- In NeuraCap
- You ask a question in plain language. NeuraCap resolves it against that company's financials, peer set, KPI benchmarks, transaction comparables, valuation range and sector context, and brings forward only the parts that bear on it.
- What you get
- A direct answer, the figures behind it, where each figure came from, and an explicit note on what the analysis does not cover. Sourced data, calculated metrics and AI-assisted interpretation are distinguished.
- The decision it enables
- The answer to the question actually being asked in the room, fast enough to be useful, with enough evidence attached to be repeated to somebody more senior.
Anatomy of an answer
Every substantive answer has the same four parts.
- The answer
- A direct response to the question asked, in the language it was asked in.
- The figures
- The specific numbers it relied on, marked as reported or calculated.
- The sources
- Where each figure came from, at the level of the source class.
- The limits
- What the analysis does not cover, stated rather than left implied.
How it works
Question, context, answer, decision.
You ask in plain language
No query syntax, no field names, no menu of pre-built questions. You ask the way you would ask a colleague who has already read the file.
NeuraCap assembles the relevant context
The question is resolved against that company's own analysis — its financials, peer set, KPI benchmarks, transaction comparables, valuation range and sector context — and only the parts that bear on the question are brought forward.
The answer is synthesised with its evidence
You get a direct answer, the figures behind it, where each figure came from, and what the analysis does not cover. The evidence travels with the answer rather than sitting a click away.
You make the decision
The assistant closes the gap between having the analysis and understanding it. It does not close the gap between understanding it and deciding, and it is not built to.
Questions
The kind of question it is built for.
About the valuation
- Why is the precedent transaction range above the trading range?
- Which peers are pulling the median multiple up?
- What would the range look like on the cross-check basis instead?
About the business
- Where does this company sit against peers on margin and cash conversion?
- What changed in the last set of results?
- Which operating measures is it in the bottom quartile on?
About the market
- Who has been buying in this space, and at what multiples?
- How has the sector spread moved over the last year?
- Which comparable deals are closest to this business?
Each of those answers is drawn from a specific part of the platform: the range from valuation analysis, the peer position from comparable company analysis, and the deal evidence from M&A intelligence. The assistant does not hold a separate opinion; it reads the same analysis you can open yourself.
Honest limits
What it is, stated precisely.
It answers over one company's analysis
The assistant is an access layer over the evaluation NeuraCap has already assembled. It is not a general-purpose model improvising about finance, and it will not answer from outside the evidence it has.
Interpretation is AI-assisted, and labelled
Sourced data, calculated metrics and AI-assisted interpretation are distinguished in the answer. When the assistant is reading a pattern rather than reporting a figure, it says so.
Answers carry their evidence
Every substantive answer arrives with the figures it used and where they came from, so the reasoning can be checked rather than trusted. If the evidence is thin, that is part of the answer.
A person still decides
Nothing the assistant says is a recommendation to buy or sell a security, an offer or solicitation, an appraisal, or a fairness opinion, and no fiduciary relationship is created by using it.
How figures are verified before they ever reach an answer is set out on the methodology page.
Proof
See it in the published research.
Report Q&A is described in full under research and reports. Pick an industry group from the sector coverage index, open a report, and ask it something.
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Public or private, any sector. Tell us the company and what you need to understand.