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AppliedXL
AppliedXL turns public data into timely, actionable signals so teams can respond before news breaks. It combines domain-specific AI analysts with editorial verification to detect, verify, and explain…
AppliedXL
AppliedXL turns public data into timely, actionable signals so teams can respond before news breaks. It combines domain-specific AI analysts with editorial verification to detect, verify, and explain…
TL;DR
What they do: B2B SaaS platform that converts public data into early, auditable signals using ML plus human editorial verification
Headquarters: Brooklyn, New York
Founders / leadership: Francesco Marconi (Co‑founder & CEO), Erin Riglin (Co‑founder & CTO)
Founded: 2020
Typical customers: Equity researchers, pharma/biotech teams, exchanges, newsrooms and data platforms
Funding signal: Seed funding raised (notable seed round $1.5M in April 2021); multiple seed investors listed
Company Overview
Problem Domain
Event/signal detection from public records (notably clinical trials and regulatory data) for investment, pharma, exchanges, and newsroom use cases.
Founded
2020
Industry
Software Development
Tech Stack
Funding Track Record
$1.5M
Seed funding announced April 22, 2021 to develop editorial algorithms and ML tools for real-time data tracking
5999999 USD
Most recent funding date listed in profile data
Investor Signal
“Multiple early investors including Hearst Ventures, Fc Centripetal, Montage Ventures and others”
Founders
What we do
Join the Team
Startup jobs. A lot of them.
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