UK’s Decision Intelligence Solutions Provider Quantexa Reports $100M+ in ARR

Quantexa, a global enabler of Decision Intelligence (DI) solutions for the public and private sectors, announced that it has surpassed $100 million in annual recurring revenue (ARR).

This update sees Quantexa achieve Centaur status, thus joining a group of SaaS businesses recognized in this category – first introduced by Bessemer Ventures Partners.

Achieving Centaur status is said to be “rarer” than becoming a Unicorn.

In April 2023, Quantexa announced that it had achieved Unicorn status, following its $129 million Series E round.

The round gave the company a post-money valuation of $1.8 billion. As the organization to gain Centaur status, the UK-founded business joins a group of companies that achieve this recognition each year.

Recent milestones are:

  • Quantexa gained 30 clients, such as U.S. Special Operations Command and Novobanco, as well as leaders in financial services and various government agencies across North America, EMEA, and APAC, increasing Decision Intelligence ARR by 20%.
  • Growing existing customer relationships have contributed to > 50% of new Decision Intelligence ARR.

The company now 30%+ of Decision Intelligence revenue “origination from outside of the Financial Services industry.”

Expanding its footprint to 16 office locations, recently in Tokyo, Japan and Kuala Lumpur, Malaysia, Quantexa employs 800 (+) team members and maintains “more than 50% of its customer base outside of EMEA.”

Recently, the company signed partnership agreements with Microsoft and Databricks to help customers “scale data and AI initiatives.”

Quantexa’s  partner ecosystem has played a role in more than 50% of customer wins by “priming the market, influencing decisions, and driving sales through the channel.”

Quantexa’s growth comes at a time of “increased demand for Decision Intelligence (DI) solutions from enterprises and government agencies, looking to harness the power of “connected, accurate data and AI to enhance decision-making and operational efficiency.”

Utilized across 100+ countries, leveraging data, Quantexa’s solutions help users in banking, insurance, TMTE, and the public sector to solve their challenges and “identify opportunities for growth.”

Quantexa says that it is equipped to help customers operationalize data across departments and functions to “create an enterprise-wide data estate for faster, better business outcomes.”

Quantexa’s Decision Intelligence Platform enables organizations to collect and unify data no matter “where or what system it resides in, use knowledge graphs to safely train private AI models, and deploy Generative AI to augment and automate decision making.”

Product Innovation Pipeline Strategic to Next Wave of Growth

  • To fuel its next wave of growth, Quantexa confirmed that it has a series of new platform capabilities, product, and solution launches scheduled to start rolling out in the first half of 2025.

Highlights will include:

  • The commercial rollout of Q Assist, the context aware generative AI technology suite to help augment trusted decision-making and automate tasks across teams of front-line and information workers, debuted this past June and is currently in use with a growing group of early adopters including HSBC and BNY Mellon.
  • Updates to the Decision Intelligence Platform will enable customers to continue to improve decision making with key capabilities including a low-code approach to automate business and decision processes in enterprise-grade workflows that streamline operations and improve business agility, and new functionality to gain insights from the analysis of unstructured text (text analytics) using machine learning and natural language processes to identify patterns, sentiments, and key characteristics in data.
  • The availability of its Anti-Money Laundering (AML) capabilities for Mid-Size Banks via its SaaS solution built on Microsoft Azure, giving customers the ability to monitor, “detect, and investigate risk and meet growing compliance demands within IT budget constraints.”


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