Solution
For credit, risk, and research teams covering earnings: transcripts turned into structured, cited signals minutes after they publish — the same taxonomy on every name, every quarter.
The problem
A coverage list of dozens of names means dozens of transcripts, decks, and filings per quarter. Extracting the signal by hand takes days the market doesn't give you.
Two analysts read the same call and file different takeaways. Taxonomy, emphasis, and thresholds vary by person, so quarter-over-quarter comparison quietly breaks.
Verifying one management statement means re-reading a full transcript to locate the passage — so most claims go into reports unverified.
The product, not a promise
How it works
Transcripts, prepared remarks, and related filings land in the workspace the moment they publish.
Agents pull guidance, KPI mentions, and management commentary into a structured signal table.
Each signal is tagged by theme, sentiment, and materiality, and compared against prior quarters.
An analyst checks flagged signals against the cited passage and approves or corrects them.
Approved signals and analyst-ready notes flow to your research, credit, or risk systems.
Who it's for
Research / credit analyst
Head of research / coverage
Risk / compliance
Every quarter the same pile arrives: call transcripts, prepared remarks, Q&A sessions, investor decks, and the filings behind them. The signal is in there — guidance changes, margin commentary, management hedging — but extracting it by hand takes days, and the result depends on who did the reading.
Botminds ingests transcripts and related documents as they publish, then agents extract what matters: stated guidance, KPI mentions, shifts in tone between prepared remarks and the Q&A, and themes that recur across quarters. The output is structured — a signal table, a theme map, and analyst-ready notes. It reads call transcripts, digital or scanned, alongside 10-Ks, 10-Qs, press releases, and investor presentations, and normalizes them into one comparable structure per company, per quarter.
Every extracted claim links back to the exact passage in the source. An analyst verifies a statement in one click instead of re-reading forty pages to find where the CFO said it.
A misread of management commentary moves a credit view or an investment call. So agents draft, classify, and cite — and a human approves before anything flows downstream. The full trail is stored: source passage, extraction, reviewer, decision. When a committee asks where a signal came from, the answer is a page reference.
Teams covering dozens of names get what manual reading can never give them: the same signal definitions, the same taxonomy, and the same evidence standard applied to every company. When a new quarter lands, the same pipeline runs and the deltas against last quarter surface on their own — guidance raised or walked back, themes that appeared or vanished, language that hardened or hedged. Analysts spend their time on judgment, not on transcription.
Objections, answered
Every extracted claim links to the exact passage in the transcript or filing it came from — one click shows where the CFO said it. Flagged signals are checked by an analyst against the cited passage before anything flows downstream.
Yes. The signal table, theme taxonomy, and materiality thresholds are configured to how your team reads calls, then applied identically to every company and every quarter — which is what makes the cross-name and cross-quarter comparisons hold.
The full record is stored: the source passage, the extraction, the classification, the reviewer, and the decision. The answer to where a signal came from is a page reference in the transcript, not a memory of who read the call.
The pipeline runs per company as transcripts publish, so covering a list is configuration work rather than a rollout: register the names, set your taxonomy, and review the first quarter's signals — live within one reporting cycle.
Watch it become a cited signal table with deltas against prior quarters, live in the demo.
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