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Algorithmiq
Develops algorithms to solve currently inaccessible problems in life sciences
About Algorithmiq
Algorithmiq is a Finnish startup operating in the life sciences sector, with a focus on leveraging quantum computing to solve complex problems. The company's mission is to revolutionize the life sciences industry by exploiting the potential of quantum computing, a technology that uses quantum bits (qubits) to process information at a much faster rate than traditional computers.
The team at Algorithmiq is composed of physicists, chemists, computer scientists, and entrepreneurs who are dedicated to exploring the applications of quantum computing in life sciences. They develop algorithms designed to solve life-science problems on near-term quantum computers, which are quantum computers that are currently available and can be used to solve real-world problems.
Algorithmiq operates in a niche market, serving clients in the life sciences industry who are looking for innovative solutions to complex problems. The company's business model is based on creating applications for the industry, while also conducting research on cutting-edge problems in quantum information science. This dual approach allows Algorithmiq to generate revenue while also laying the foundation for future applications and advancing our understanding of nature.
In addition to its commercial activities, Algorithmiq is committed to making quantum physics and its applications accessible to everyone. The company has created QPlayLearn, a platform that provides educational and informational material on quantum science for all levels of experience.
Source: Dealroom company dataAt a glance
- Status
- Operational
- Founded
- 2020
- Headquarters
- Helsinki, Finland
- Employees
- 52
- Open positions
- None listed
- Dealroom signal
- 81.7/100
- Industry
- Health
- Sub-industry
- BioTechnology
- Sector
- Biotech & Life Sciences, Biotechnology, Quantum Computing, Quantum Computing Software, Nordic Rising Star 2022, AI Drug Discovery, Techbio, Dual-Use Tech, CompBio
- Technology
- Deep Tech, Quantum Technologies
- Business model
- SaaS
- Client focus
- b2b
Knowledge graph
More headlines
Funding history
Company financing events and reported valuations.
| Deal type | Date | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| SERIES B✓Equity / VC | May 2026 | $20M | $79M | Inventure · CDP Venture Capital · United Ventures | ↗ |
| GRANT✓Other financing | May 2026 | $2M | — | Wellcome Leap | ↗ |
Financials
Revenue, earnings and other financial measures where available. Years marked “E” are estimates.
| Year | Revenue | Growth | EBITDA | Margin | Profit | Margin |
|---|---|---|---|---|---|---|
| 2026 | ||||||
| 2025 | ||||||
| 2024 | ||||||
| 2023 | — | |||||
| 2022 | — | — | — | — | ||
| 2021 | — | — | — | — | ||
| 2020 | — | — | — | — |
Growth signals
Latest recorded traffic for Algorithmiq is 8K monthly website visits, up 81.8% over the last three months. Algorithmiq's team grew 10.6% over the past year.
Similar companies
Company identity and context are open; selected comparison metrics preview what is available on the platform.
Investments and acquisitions
Recent portfolio relationships for companies that also act as investors or acquirers.
Investors
From Dealroom's funding and investor records, grouped by the round each investor first entered.
Seed9 investors entered at this stage
Tiger Global- KRKeenan Rice
- JOJorma Ollila
- FDFeroz Dewan
K5 Global
David Helgason
Haakon Overli- TTThames Trust
Wellcome Leap
Series A6 investors entered at this stage
Inventure
European Investment Bank
Presidio Ventures
Tesi
CDP Venture Capital
United Ventures
Other known investors3 additional known investors
Entourage
Technology Pioneers | World Economic Forum
UpLink - World Economic Forum
Source: Dealroom Talent Intelligence.
Global footprint
team presence
Market sentiment
An AI-synthesised read of the highest-engagement posts about Algorithmiq 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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