Public earnings calls are scripted. Expert interviews are raw. Access a library of deep-dive interviews with former executives, customers, and supply chain partners. Discover the "Ground Truth" about a company's competitive moat before the market does.
Primary Research. Quantified. We democratize access to the most expensive dataset in finance. No need to pay $1,000 per hour for a call. We've already done them.
Earnings calls tell you what management wants you to know. Expert calls tell you what's actually happening. Hear a former Sales VP discuss "churn issues" or a key supplier mention "slowing orders" months before it hits the 10-K.
Raw expert interviews can be risky. Our team scrubs every transcript for Material Non-Public Information (MNPI) and PII (Personally Identifiable Information) before publication, ensuring you get the alpha without the compliance headache.
We don't just dump PDFs. Every transcript is tagged with Ticker, Expert Role (e.g., "Former Regional Manager"), and Employment Dates. This allows you to filter specifically for "Recent Departures" who have the freshest insight.
Show me all interviews with 'Former Cloud Engineers' about AWS vs. Azure.
Ingest the full library to train a domain-specific LLM on "Industry Insider" jargon.
Ask the dataset: "What are former employees saying about the new CEO's leadership style?"
Get notified instantly when a new interview drops for a ticker in your portfolio.
{
"transcript_id": "EXP-4921",
"ticker": "SNOW",
"company_name": "Snowflake Inc.",
"expert_profile": {
"role": "Former VP of Sales (North America)",
"tenure_dates": "2020 - 2024",
"competitor_experience": ["Databricks", "AWS"]
},
"interview_date": "2025-01-15",
"topics": ["Consumption Pricing", "Sales Cycle Length", "Competition"],
"segments": [
{
"question": "How often are you seeing Databricks
in the final RFP stage?",
"answer": "In 2023, it was maybe 30% of
deals. By late 2024, it was over 60%. The
pricing pressure is definitely increasing...",
"sentiment_score": -0.65
}
]
} expert_profile : Know the source. We provide the expert's former title and tenure dates so you can weigh their opinion. A "VP of Sales" carries more weight on revenue questions than a "Junior Developer." tenure_dates : Recency matters. A former employee who left last month has fresher intel than one who left 5 years ago. Use this field to filter for the most current signals. competitor_experience : Cross-reference insights. This expert worked at both Snowflake and Databricks. Their comparative analysis is "Gold Standard" intelligence.
Our team of experienced financial advisors is here to provide personalized guidance and support.
We use a dual-layer compliance process. First, experts are trained on what they cannot discuss (trade secrets, unpublished financials). Second, all transcripts are reviewed by legal compliance officers to redact any potential MNPI before API release.
Yes. If you need insight on a specific niche not covered in the library, Enterprise clients can use the "On-Demand" endpoint to request a custom recruit.
Glassdoor is anonymous, unverified, and often disgruntled. Our experts are Verified Professionals who are compensated for their time and interviewed by sector analysts, resulting in structured, high-quality, and balanced insights.
These are not generic, third-party datasets. Every transcript is sourced directly from our proprietary Expert Network (EN) and Research & Consulting (R&C) divisions. These interviews were originally conducted for high-stakes institutional due diligence, meaning the depth of inquiry is significantly higher than standard "content farm" interviews.
Since these calls were conducted for primary research rather than simple data entry, we apply a heavy Post-Processing NLP Layer. We automatically highlight and index every Company Name, Product Mention, and Competitor Reference within the text. This turns a raw 60-minute conversation into a searchable database of ticker-specific insights.
No. Because this library is generated by our internal R&C workflow, these transcripts are exclusive to our platform. You are gaining access to a private repository of primary research that was previously available only to private consulting clients, now digitized for quantitative consumption.
