An AI due diligence analyst that shows its sources
Hand it a company name and get a brief you can trust. Founders, funding and litigation flags each come with a citation behind them.
Hand it a company name and you get back a structured brief with founders, funding and litigation flags, with a citation behind every claim.
Diligence is reading 40 tabs and remembering what each one said
A pre-investment screen or a vendor check starts with a name, a website and four hours of tabs. Crunchbase, Companies House, the trade press, an old interview write-up, a court records portal. Then you try to reconcile a founding date three sources disagree on. The work isn’t hard. What wears you down is the volume, and the discipline of writing down where each fact came from.
The agent does that pass for you. Give it a company and the questions you care about. It searches the open web and browses the pages that matter, including the JS-heavy ones that block scrapers, and it pulls structured data from APIs like a registry or a funding database using your own keys. You get a brief where every line traces back to a URL.
What a single run pulls together:
- Corporate basics: legal entity, incorporation date, registered address, directors, and ownership where it’s public
- Funding and investors from press and database APIs, with round dates and lead investors cited
- Founders and key people, their prior companies, and anything notable in their public track record
- Red flags: litigation mentions, regulatory actions, layoffs, negative press, or domain and site signals that don’t add up
- A confidence note on each section, so you can tell a confirmed fact from a single uncorroborated source
The verdict stays with you. The reading and the bookkeeping take minutes, where they used to take an afternoon, and the citations stay intact so a partner or compliance reviewer can check the work themselves.
Related pages in this workflow
Buyers usually compare these adjacent jobs before choosing an AI agent.
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Frequently asked questions
How is this different from asking ChatGPT about a company?
It checks live sources. A general chatbot answers from training data and will confidently state a funding round or director that’s two years stale, with no source. This agent searches and browses live pages when you ask and attaches the URL behind each claim so you can check it. Diligence needs provenance you can verify, and a fluent guess doesn’t give you that.
Can it use paid data sources we already subscribe to?
Yes, if the source has an API. You connect it as a REST call with your own credentials, and the agent pulls structured data from a company registry, a funding database, or a sanctions or watchlist API. It uses your keys. We don’t resell or store the data.
Does it make a buy or pass recommendation?
No, on purpose. It assembles and cites the evidence so a human makes the call. Thin or contradictory evidence gets a confidence note, and a single blog post stays labeled as a single blog post.
How does it handle conflicting information across sources?
It shows both. When two sources give different founding dates or different CEOs, you see each with its citation. Its memory also flags contradictions across runs, so if last month’s brief said one thing and this month’s says another, you’ll see it.
Can it screen a whole list of targets?
Yes. Drop in a Sheet of company names and it works down the list, writing the brief or a row of key fields next to each one. It fits a sourcing funnel or a vendor batch where the same five questions need answers across thirty names.
How much does it cost?
Start with a 7-day free trial. Full access, no card needed. Then $49 per month. That covers the agent, its inbox, scheduled re-checks and connected APIs. You bring your own keys for any paid data sources. Setup takes about four minutes, and Fasrad is in public beta.
AI research analysts by field
One research agent that searches, reads and cites. Point it at the sources and questions your field cares about.
- AI Research Analyst (hub): Hand it a question and a deadline, get a brief that shows its work: figures, links, and the page each number came from.
- AI Academic Research Analyst: It reads the full papers, past the abstract, and writes a synthesized brief with inline citations, source links, and contradictions flagged.
- AI Brand Monitoring Analyst: It reads the whole thread behind each mention, checks the sites you watch each morning, and briefs you on what changed overnight.
- AI Competitive Intelligence Analyst: The whole market, read for you. It watches competitor pricing, changelogs and job boards and drops a cited brief the moment something moves.
- AI Data Analyst Agent: A data team without the headcount. Point it at a CSV or Sheet, ask in plain language, and it cleans, charts, and answers, with full undo.
- AI Equity Research Analyst: Hand it a ticker and get a cited brief built from the 10-K, the latest call and live multiples. Every claim links to its source.
- AI Grant Research Analyst: It finds the grants you actually qualify for. It reads the RFP, checks your eligibility and hands you a sourced one-pager with the ask and deadline.
- AI Healthcare Research Analyst: Ask a clinical question and get an answer you can defend: a structured brief where every claim links to the paper, trial or guideline.
- AI Junior Consultant: Brief to deliverable in one session. It runs the research, sorts the findings, and builds the deck and the client-ready PDF.
- AI Legal Research Analyst: A memo where every claim has a link you can check: it searches the open web and reads the actual opinions and filings.
- AI Market Research Agent: A cited competitive briefing in your inbox on the cadence you set. It watches competitors, tracks trends, and puts a source behind every line.
- AI Market Sizing Analyst: TAM/SAM/SOM that shows its work. You get top-down and bottom-up, with every figure traced back to the source it came from.
- AI News Briefing Agent: One briefing every morning, built around your industry, your tickers and your topics. Scanned, summarized and waiting in your inbox.
- AI Policy Research Analyst: It reads the actual bill and hands back a sourced brief with section citations, agency dates and the dissenting view.
- AI Procurement Research Analyst: A sourcing request comes back as a cited supplier brief: shortlisted vendors, pricing signals and lead times, with a source behind each.
- AI Real Estate Market Analyst: A neighborhood read in one sourced doc: comps, days-on-market, price per square foot and inventory trends, in place of twelve open tabs.
- AI Research Agent: Hours of digging, back in minutes. It reads the full sources and hands you a structured report with every claim cited.