FundedIQ
Artificial Intelligence

Totient: Funding, Investors & Team (Sep 2026)

Totient is an AI-driven biotechnology company that leverages tertiary lymphoid structures (TLSs) to identify novel tissue-specific antigens and develop matching high-affinity antibody therapeutics. It uses machine learning and immunoinformatics technology to pull critical insights from large, complex datasets, to quickly and accurately assemble the most potent antibody candidates. The unique applicability of the Totient platform allows the company to remain flexible and develop therapeutics for cancer, autoimmune disease, infections, and viruses. It was founded in 2017 and is based in Cambridge, Massachusetts.

totient.bio LinkedIn Cambridge, United States 11-50 employees
Artificial Intelligence Biotechnology Life Science Machine Learning
Total raised
$10.0M
Rounds
1
Latest
Undisclosed round
Sep 2020

Totient has raised $10.0M across 1 funding round on record, the most recent an undisclosed round of $10.0M announced in Sep 2020.

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

Totient Company Profile and Key Stats

Total funding raised
$10.0M
across 1 round on record
Funding rounds on record
1
Latest funding round
Undisclosed round
$10.0M in Sep 2020
Employees
11-50
reported band
Headquarters
Cambridge, United States

Latest funding round on record: Sep 2020.

Totient Funding Rounds

Date
Round
Amount
Undisclosed round
$10.0M

Totient Founders and Leadership Team

Name
Role
Contact
Deniz Kural
CEO
Locked

Contact details for the Totient team: 1 of 1 has an email address on file.

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Totient Funding Compared to Other Artificial Intelligence Startups

Segment
Companies
Median round

Totient's latest round of $10.0M is above the median round in Artificial Intelligence. Medians cover the last 24 months of disclosed rounds.

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Totient Funding FAQs

What does Totient do?

Totient is an AI-driven biotechnology company that leverages tertiary lymphoid structures (TLSs) to identify novel tissue-specific antigens and develop matching high-affinity antibody therapeutics. It uses machine learning and immunoinformatics technology to pull critical insights from large, complex datasets, to quickly and accurately assemble the most potent antibody candidates. The unique applicability of the Totient platform allows the company to remain flexible and develop therapeutics for cancer, autoimmune disease, infections, and viruses. It was founded in 2017 and is based in Cambridge, Massachusetts.

How much funding has Totient raised?

Totient has raised $10.0M across 1 round on record. The most recent is an undisclosed round of $10.0M announced in Sep 2020.

When did Totient last raise funding?

Totient's most recent funding round on record is an undisclosed round of $10.0M, announced in Sep 2020.

Who is the CEO of Totient?

Deniz Kural is listed as CEO at Totient.

Where is Totient headquartered?

Totient is based in Cambridge, Massachusetts, United States.

How many employees does Totient have?

Totient is in the 11-50 employee band.

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

Totient's latest round of $10.0M 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 Totient 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 Totient is left off this page rather than filled in.

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