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Quartr

Quartr provides AI infrastructure for company research, delivering structured, real-time first-party data from over 15,000 public companies across 65+ markets. Its product suite includes Quartr Pro, an AI research platform for finance professionals, and Quartr API, a data layer for builders, with Quartr MCP enabling direct integration into AI environments like Claude and Codex.

Traction 10/10
Stockholm, Sweden · HQ
Founded 20207420K+ followers
  • Artificial Intelligence
  • Data & Analytics
  • Enterprise Software
  • Financial Technology
  • Software Only
Updated 2 months ago

Funding

Raised to date

$41MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

$36.6M across 4 disclosed rounds

CCSTH

$18M · Series B

Announced Aug 2026 · from article date

Disclosed cumulative: $36.6M

4/4

Reported total $41M

Incomplete round history. $4.4M of the $41M reported total isn’t matched to a known round.

Founders

1 founder

John Engholm

Founder

Product

Problem

Investment professionals and financial AI systems lack efficient access to structured, queryable first-party information from public companies. IR material—earnings calls, transcripts, filings, and slides—is scattered across clunky IR pages and terminals, requiring manual effort to compile and analyze. This fragmented access hampers timely decision-making and limits the ability of AI tools to deliver accurate, verifiable insights.

Solution

Quartr provides AI infrastructure for company research, delivering structured, real-time first-party data from public companies globally. The platform captures live audio and transcripts of earnings calls, conferences, and other events, alongside historical archives of filings, reports, and slide presentations. Quartr Pro offers an AI research platform where professionals can ask questions, verify findings, and track narrative shifts across years of data. Quartr API and Quartr MCP enable builders and AI environments to integrate this data layer directly into their workflows, supporting agentic research and cross-source analysis with verified, first-party information.

Target Audience

Primary customers are hedge funds, asset managers, equity researchers, and investor relations professionals, as well as technology companies and AI platforms that need reliable, structured IR data for building financial AI applications.

Features

  • Live audio and word-by-word transcripts with near-zero latency for earnings calls, conferences, CMDs, AGMs, and investor updates
  • Backlog audio and reprocessed transcripts with precise timestamps and speaker identification for historical events
  • Filings and reports including 10-K/10-Q, 8-K, and local equivalents, delivered as raw PDFs or parsed markdown with structured tables and figures
  • Slide presentations linked to company and event identifiers, scannable for keywords and data points
  • AI summaries for all events, plus structured datasets covering companies, events, people, products, topics, KPIs, and other entities
  • Quartr MCP server that plugs into Claude, Codex, or any MCP-compatible tool, enabling queries across 50M+ first-party documents without middleware
  • Slide history comparison to track changes in messaging, priorities, and strategic focus over time
  • Global event calendar with AI-estimated report dates and one-click access to events and accompanying documents
This profile is AI-generated and may contain inaccuracies.