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Quartr

quartr.com/

Quartr structures real-time information published by public companies — earnings calls, transcripts, slides, and filings — into data feeds for investment professionals and AI applications, offered as both a research platform (Quartr Pro) and a raw data API. Its headline, "Everything said and published by public companies, structured for AI and delivered in real-time," is backed by specific coverage figures: 15,200+ companies across 62+ markets and 48M+ first-party documents. It states it's a founding data partner for OpenAI's ChatGPT Financial Services integration, and offers a dedicated MCP server connecting AI tools like Claude and ChatGPT to its company data — a specific technical integration most financial data providers don't surface on their homepage.

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Data & Analytics
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Quartr | AI infrastructure for company research
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9
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Quartr's landing page, section by section

Each section below is cropped straight from Quartr's live page — useful references for data & analytics landing page design.

Quartr design review: how the homepage is built

The page runs 13,688 pixels on desktop, moving from an off-white hero through a near-black API band to a black closing call to action. The colour approach is restrained: off-white #fbfcfc for the ground, near-black #08090b for bands, and warm beige #e7dac8 in the marble photographs. The brand is Quartr throughout, with the wordmark set large in the footer. Display headings use InterVariable. What is distinctive for a financial data product is the real screenshot framed on marble, showing a feed of company events beside a chat answer that returns a table pulled from transcripts.

Above the fold

The headline "AI infrastructure for company research" sits left in large black type, with "Everything said and published by public companies, structured for AI and delivered in real-time." to its right and a black "Book demo" button. Beneath, a marble-backed screenshot shows a "Search" sidebar, an "Activity feed" listing Uber inc. transcripts and Visa proxy statements, and a chat table. A speaker card from "Sheryl Lisowski" sits over the table corner.

Offerings and first-party data cards

A logo wall of finance firms follows the hero. "Two offerings. One proprietary data engine." introduces the cards "Quartr Pro" and "Quartr API", each with a photograph, the API one showing a floating data snippet over a cloud. "The leading first-party data layer for institutional finance and AI" then runs four cards: "Cut research time", "Be first", "Trust every finding" and "Spot inflection points".

MCP block, testimonials and API band

"Quartr MCP connects your AI environment to 15K+ public companies" shows three app marks over a marble staircase, captioned "Included with Quartr Pro at no extra cost." A testimonial quotes "Quartr’s AI stands out because it only pulls clean, first-party data from public companies." credited to "Jamie Ross",. Three testimonials follow, from "Tom O’Hara", "Gregg Lampf" and "Pontus Dackmo". The black band "Quartr API, the world’s leading IR data layer" lists "AI-ready IR data", "One API, fewer dependencies" and "Global coverage".

Closing section and footer

Lower down, "Trusted across finance and AI" is a carousel with "A breakout year for Quartr Pro", "All IR material. One chat." and "Partnering with Perplexity". Four figures follow, "15,000+", "65+", "800+" and "50M+". "Research anytime, anywhere" shows a phone lock screen beside a "4.8/5" rating, then "Join 200k+ other business enthusiasts" sits above a grid of Edge magazine covers. The black band "See what Quartr can do for your team" ends in "Contact sales". The footer lists "Product" and "Company".

On mobile

At 390px the hero headline centres above its subhead and the screenshot shrinks to a narrow strip that is hard to read. The offering and data cards become single-column stacks with photos above captions, and the testimonials stack into one long column. The four figures collapse into a two-by-two grid.

Worth borrowing

  • Frame a real product screenshot on a neutral photograph, so the interface reads as a finished object rather than a wireframe.
  • Print one large figure with a small label beneath it for each stat, so the numbers scan quickly.
  • Attribute each testimonial to a named person and role under a client wordmark, which makes the proof checkable.
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