GeminIQ's answer:

GeminIQ is the only retail-accessible investment research platform that builds its financial statement database directly from raw SEC EDGAR filings — not third-party data APIs. Every line item is preserved exactly as the company filed it, with full XBRL tag traceability back to the original 10-K or 10-Q. No normalization filters. No silent aggregation decisions. No data loss. When a number doesn't look right, you can verify it against the source filing in seconds — something no aggregator-dependent platform can offer. This zero-dependency data architecture is paired with a full analytical layer: 50+ calculated metrics, interactive visualizations, earnings market reaction heat maps, insider tracking, institutional ownership monitoring, a 100+ filter stock screener, and custom watchlists. You get the auditability of a filing viewer and the power of a financial terminal in one platform.

GeminIQ's answer:

Because the data is trustworthy at the source. Platforms like TIKR, Koyfin, and Finbox rely on third-party aggregators — primarily S&P Global Market Intelligence — that normalize SEC filings into generic templates. That process strips company-specific line items, combines related figures, and removes the labels companies actually use in their filings. Most users never know it's happening until a number doesn't reconcile with the original report. GeminIQ eliminates that problem entirely by parsing filings directly. Beyond data integrity, GeminIQ offers 17+ years of unrestricted historical data with no arbitrary 3 or 5-year paywalls, next-day filing availability, and pricing built for individual investors — not institutional budgets.

GeminIQ's answer:

Self-directed individual investors and fundamental analysts who conduct serious US public company research. They are sophisticated enough to care about data provenance, frustrated by the data quality limitations of aggregator-dependent platforms, and priced out of institutional tools like Bloomberg Terminal or S&P Capital IQ. They range from retail investors doing deep fundamental research to small RIAs and independent analysts who need institutional-grade accuracy without the institutional price tag.

GeminIQ's answer:

GeminIQ was built by twin brothers Chad and Brett Hartman. Chad is an Air Force veteran and quantitative analyst who kept running into a frustrating problem — the financial data on popular research platforms didn't always match what companies actually filed with the SEC. The culprit was always the same: third-party aggregators silently normalizing filings into generic templates, stripping the specific details that matter for serious fundamental analysis. Frustrated by platforms that forced SEC data into molds it was never meant to fit, Chad teamed up with Brett — a software engineer with bachelor's and master's degrees in software engineering and AI — to build the platform they both wished existed. One that ingests data directly from SEC EDGAR, preserves every company-specific line item, and gives individual investors the same data quality that institutional analysts take for granted, at a price that doesn't require an institutional budget.

GeminIQ's answer:

GeminIQ is built on a modern web stack that pulls data from the SEC's publicly available EDGAR database and XBRL taxonomy. Core technologies include proprietary parsing algorithms for processing raw 10-K and 10-Q filings, XBRL tag preservation and traceability infrastructure, and a full-stack web application with interactive data visualization capabilities. GeminIQ is built and maintained entirely by its two founders. Chad Hartman, Founder / CEO / Principal Engineer, designed and built the entire backend infrastructure, data pipeline, and proprietary parsing algorithms from the ground up. Brett Hartman, Founder / CTO, holds bachelor's and master's degrees in software engineering and AI, leads the frontend and application layer. Together they own every layer of the platform — from raw filing ingestion to the user-facing research experience.