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Red Queen Bio

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AI-powered biosecurity platform for countering biological threats

United StatesBiotech & Life Sciences
Valuation $50–100M Last recorded · 2025
Headcount <100 Current team size
Total funding $10–50M Disclosed equity funding
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About Red Queen Bio

Red Queen Bio is an AI biosecurity company focused on developing defenses against AI-enabled biological threats. The company was spun out of HelixNano, a clinical-stage mRNA therapeutics company, by co-founders Nikolai and Hannu Rajaniemi. The founders have a history of working together for nearly a decade at HelixNano, where they collaborated with OpenAI and observed the potential for AI models in both therapeutic design and the creation of biological risks, which prompted the establishment of Red Queen Bio to build defensive infrastructure.

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The firm's core mission is based on the concept of "defensive co-scaling," which aims to ensure that biological defenses advance at the same rate as AI capabilities. Red Queen Bio works with frontier AI labs to map potential biothreats and preemptively build medical countermeasures. Its pipeline utilizes advanced AI models, lab automation, and reinforcement learning, coupled with on-demand biologics manufacturing, to create a scalable defense system. As a Public Benefit Corporation, its governance structure prioritizes its mission over individual partnerships.

In November 2025, Red Queen Bio launched with a $15 million seed funding round led by OpenAI. Other investors include Cerberus Ventures, Fifty Years, and Halcyon Futures. The company's business model explores frameworks similar to catastrophic risk insurance and involves direct collaboration with AI labs, biopharma companies, and governments to create a sustainable financial model for biosecurity that is not solely reliant on government funding.

Source: Dealroom company data

At a glance

Status
Operational
Headquarters
United States
Employees
15
Open positions
None listed
Dealroom signal
0.0/100
Industry
Health
Sub-industry
BioTechnology
Sector
Biotech & Life Sciences
Business model
Manufacturing
Client focus
b2b

Funding history

2 recorded events

Company financing events and reported valuations.

Deal typeDateAmountValuationInvestorsSource
SEED✓Equity / VC Nov 2025 $15M $60M Fifty Years · Cerberus Capital Management · Halcyon Futures · OpenAI ↗
CORPORATE SPINOUT✓Other financing May 2025 $0 — HelixNano —
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Growth signals

Red Queen Bio website traffic

Latest recorded traffic for Red Queen Bio is 1.9K monthly website visits, down 13.6% over the last three months. Red Queen Bio's team grew 275% over the past year.

Latest monthly visits1.9K 3-month web change-13.6% 1-year team growth+275%
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Similar companies

Closest operating peers by Dealroom taxonomy

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Investments and acquisitions

Capital deployed

Recent portfolio relationships for companies that also act as investors or acquirers.

Investors

6 investors on the cap table

From Dealroom's funding and investor records, grouped by the round each investor first entered.

Seed4 investors entered at this stage

  • OpenAI
  • Fifty Years
  • Cerberus Capital Management
  • Halcyon Futures

Series B and later1 investor entered at this stage

  • HelixNano

Other known investors1 additional known investor

Team profiled 2 named & role-tagged
Founders Hidden — book a demo/100 quality score
Key operators 2 quality Hidden — book a demo/100
Potential founders Hidden — book a demo likely future founders
Startup mafia Hidden — book a demo alumni-founded startups
Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Global footprint

Workforce and web traffic by country
Workforce by country
1 countries with
team presence
🇺🇸 United States100%
1 country shown

Market sentiment

Posts on X, past 7 days

An AI-synthesised read of the highest-engagement posts about Red Queen Bio on X, ranked by likes and reposts, corporate channels excluded.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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