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Thames Trust

VC Fund

London, United Kingdom

Thames Trust is a VC fund in London focused on Software and SaaS. Thames Trust

Total investments:
5
Last investment:
Lead investor:
20%

Last updated:

Industries Thames Trust invests in

SoftwareSaaSMusicFinTechFinance

Stages Thames Trust invests in

Series ASeedSeries B

Countries Thames Trust invests in

United KingdomFinland

Round sizes

Series A $5M–$15M

Round size

Series A
$5M–$15M

Investment Focus

Industry

  • Software 2 (40%)
  • SaaS 1 (20%)
  • Music 1 (20%)
  • FinTech 1 (20%)
  • Finance 1 (20%)
See all 16 industries →

Stage

  • Series A 2 (40%)
  • Seed 1 (20%)
  • Series B 1 (20%)

Country

  • United Kingdom 2 (40%)
  • Finland 1 (20%)

Investments

CompanyDescriptionRoundLinks
Algorithmiq Algorithmiq
Algorithmiq utilizes its expertise in quantum information, complex systems, and computational physics to develop algorithms to develop new and effective drugs, solve problems in life sciences, and discover new materials. $15.3M / Series A / Jun 27, 2023
Algorithmiq Algorithmiq
Algorithmiq utilizes its expertise in quantum information, complex systems, and computational physics to develop algorithms to develop new and effective drugs, solve problems in life sciences, and discover new materials. $4M / Seed / Feb 02, 2022
ABAKA Holdings ABAKA Holdings
ABAKA is world's first digital saving and retirement enterprise SaaS platform, powered by Artificial Intelligence. Our innovative technologies enable financial institutions to power digital saving and retirement solutions and deliver scalable and affordable advice on pensions, savings and investments to their retail customers. ABAKA’s libraryof modular applications helps our enterprise clients to power conversational AI, personalised and behavioural nudges, big data insights, financial dashboards and outstanding customer experiences.Today over 9 million people have access to the ABAKA technologies through our clients, and our technologies are licensed by Tier one international banks, pension providers and asset managers across multiple countries.ABAKA’s enterprise solutions enable financial institutions to power: • Conversational AI: on pensions, savings and investments, for both fully digital and hybrid advice. The proprietary NLP models take vast quantities of user behavioural and financial data to intelligently manage a human like conversation. • Intelligent Behavioural Nudges: machine learning models to identify persona segmentation, power personalised insights and nudges to increase engagement and up-sell opportunities, across digital channels. • Digital financial dashboards: data aggregation technology powering Open Banking, Pension Tracing and Pension Dashboards. • Financial Planning Engine: retirement planning, cash flow modelling, suitability assessment, Monte-Carlo simulations for outcome & scenario driven advice $5M / Series A / Nov 09, 2021
ABAKA Holdings ABAKA Holdings
ABAKA is world's first digital saving and retirement enterprise SaaS platform, powered by Artificial Intelligence. Our innovative technologies enable financial institutions to power digital saving and retirement solutions and deliver scalable and affordable advice on pensions, savings and investments to their retail customers. ABAKA’s libraryof modular applications helps our enterprise clients to power conversational AI, personalised and behavioural nudges, big data insights, financial dashboards and outstanding customer experiences.Today over 9 million people have access to the ABAKA technologies through our clients, and our technologies are licensed by Tier one international banks, pension providers and asset managers across multiple countries.ABAKA’s enterprise solutions enable financial institutions to power: • Conversational AI: on pensions, savings and investments, for both fully digital and hybrid advice. The proprietary NLP models take vast quantities of user behavioural and financial data to intelligently manage a human like conversation. • Intelligent Behavioural Nudges: machine learning models to identify persona segmentation, power personalised insights and nudges to increase engagement and up-sell opportunities, across digital channels. • Digital financial dashboards: data aggregation technology powering Open Banking, Pension Tracing and Pension Dashboards. • Financial Planning Engine: retirement planning, cash flow modelling, suitability assessment, Monte-Carlo simulations for outcome & scenario driven advice $6.5M / Series A / Dec 18, 2019
STEM STEM
Kano provides a system of kits and coding platform that enables users to develop apps, games, and music. It teaches kids and adults about computers and coding by way of a variety of do-it-yourself hardware building kits. Also, its computing platform enables someone to build real devices, learn how they work, code them step by step, and share theircreations with the world.The company was founded in 2013 and is headquartered in London, England. $28M / Series B / Nov 01, 2017

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FAQ

What does Thames Trust invest in?

Thames Trust invests primarily in Software, SaaS and Music startups, most often at Series A and Seed stage. Most of the 5 investments tracked by Shizune back companies in United Kingdom. The Investment Focus section breaks down every industry, stage and country in the portfolio.

What is Thames Trust's check size?

Thames Trust typically joins rounds of $5M–$15M at Series A. These ranges are 10th–90th percentile round sizes calculated from confirmed public funding rounds, so they are a realistic guide to the rounds Thames Trust participates in.

When did Thames Trust last invest?

The most recent investment recorded for Thames Trust closed in Jun 2023. Shizune tracks 5 investments in total for this profile, including round sizes, stages and portfolio companies, all sourced from confirmed public funding rounds and refreshed monthly.

Is Shizune's investor data accurate?

Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Sep 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.

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