FundedIQ
Artificial Intelligence

Shift Bioscience: Funding, Investors & Team (Sep 2026)

Shift Bioscience is using simulation guided cell rejuvenation to defeat the diseases of aging. Cellular reprogramming with Yamanaka factors can reverse aging in the dish but is not yet safe for clinical use. Shift has pioneered the first high throughput and high accuracy aging biomarker, which has been leveraged inside AI-based cell simulations to identify safer rejuvenation gene-factors. Shift envisions the development of a single drug-family that can treat multiple diseases of aging, after which full and continued health into old age becomes the norm.

www.shiftbioscience.com LinkedIn Cambridge, United Kingdom 11-50 employees
Biopharma Biotechnology Machine Learning Pharmaceutical
Total raised
$16.3M
Rounds
1
Latest
Seed
Oct 2024

Shift Bioscience has raised $16.3M across 1 funding round on record, the most recent a Seed of $16.3M announced in Oct 2024.

That round is above the $5.7M median round size for Artificial Intelligence companies tracked on FundedIQ over the last two years.

Shift Bioscience Company Profile and Key Stats

Total funding raised
$16.3M
across 1 round on record
Funding rounds on record
1
Latest funding round
Seed
$16.3M in Oct 2024
Employees
11-50
reported band
Headquarters
Cambridge, United Kingdom

Latest funding round on record: Oct 2024.

Shift Bioscience Funding Rounds

Date
Round
Amount
Seed
$16.3M

Shift Bioscience Founders and Leadership Team

Name
Role
Contact
Daniel Ives
Founder

No contact details are on record for this team yet.

Shift Bioscience Funding Compared to Other Artificial Intelligence Startups

Segment
Companies
Median round
5,285
$4.0M
16,575
$3.1M

Shift Bioscience's latest round of $16.3M is above the median round in Artificial Intelligence. Medians cover the last 24 months of disclosed rounds.

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Shift Bioscience Funding FAQs

What does Shift Bioscience do?

Shift Bioscience is using simulation guided cell rejuvenation to defeat the diseases of aging. Cellular reprogramming with Yamanaka factors can reverse aging in the dish but is not yet safe for clinical use. Shift has pioneered the first high throughput and high accuracy aging biomarker, which has been leveraged inside AI-based cell simulations to identify safer rejuvenation gene-factors. Shift envisions the development of a single drug-family that can treat multiple diseases of aging, after which full and continued health into old age becomes the norm.

How much funding has Shift Bioscience raised?

Shift Bioscience has raised $16.3M across 1 round on record. The most recent is a Seed of $16.3M announced in Oct 2024.

When did Shift Bioscience last raise funding?

Shift Bioscience's most recent funding round on record is a Seed of $16.3M, announced in Oct 2024.

Who founded Shift Bioscience?

FundedIQ lists Daniel Ives (Founder) at Shift Bioscience.

Where is Shift Bioscience headquartered?

Shift Bioscience is based in Cambridge, Cambridgeshire, United Kingdom.

How many employees does Shift Bioscience have?

Shift Bioscience is in the 11-50 employee band.

How does Shift Bioscience's funding compare to other Artificial Intelligence startups?

Shift Bioscience's latest round of $16.3M is above the $5.7M median round size for Artificial Intelligence companies on FundedIQ across 7,234 tracked companies over the last two years.

About FundedIQ's Shift Bioscience Funding Data

FundedIQ tracks announced funding rounds and refreshes this profile every week. Round dates, stages and amounts are normalised to a single format, converted to US dollars, and de-duplicated: two records of the same round announced days apart are merged, and two genuinely different rounds are kept apart on the amounts they disclose. Amounts shown are the disclosed figures only — a round announced without a number is listed and excluded from the total rather than estimated.

Employee counts are reported bands, not exact headcounts. Founder and executive names carry the job title on record. Anything we do not hold for Shift Bioscience is left off this page rather than filled in.

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