Highlights:

  • Its new Q Assist platform is an agnostic large language model that enables analysts to query Quantexa’s platforms using natural language queries, thereby improving entity resolution, graph analytics, and scoring capabilities.
  • Quantexa asserts that its investment in the AI industry and the introduction of Q Assist are part of a larger plan to promote the use of AI in decision-making across multiple industries.

Quantexa Ltd., a decision intelligence startup, recently announced that it would invest more than USD 155 million in the global artificial intelligence industry over the next three years to help clients advance the use of AI to safeguard, optimize, and expand their businesses.

Alongside its investment plans, the seven-year-old company previewed its generative AI technology, Q Assist.

Quantexa began as a provider of artificial intelligence-based fraud detection tools for the financial services industry but has since rebranded as a “decision intelligence” platform and expanded into the insurance, telecommunications, healthcare, and public sector. Its platform employs an approach based on machine learning to analyze corporate data for indicators of potential fraud, money laundering, and other illegal activities.

Its new Q Assist platform is an agnostic large language model that enables analysts to query Quantexa’s platforms using natural language queries, thereby improving entity resolution, graph analytics, and scoring capabilities. According to the business, the solution breaks new ground in decision intelligence by allowing analysts to efficiently navigate massive data volumes using natural language. It is claimed that the AI assistant can increase productivity, allowing relatively inexperienced analysts to achieve the same output levels as seasoned investigators.

Notable about Q Assist’s agnostic nature is that it does not restrict users to a particular LLM but instead works with existing models, such as OpenAI LP’s ChatGPT. Its compatibility with extant models makes it a potent instrument for expanding its usage and applicability.

In one of the use cases emphasized by Quantexa, Q Assist was tasked with investigating financial crime. It demonstrated how complex data associated with graph analytics and alerts can be made more accessible to junior analysts by using its ability to leverage natural language queries for scrutinizing massive quantities of structured and unstructured data at scale. The demonstration emphasized the capability to automate the production of “suspicious activity reports” and investigative summaries, highlighting the potential for significant efficiency and productivity gains.

Quantexa asserts that its investment in the AI industry and the introduction of Q Assist are part of a larger plan to promote the use of AI in decision-making across multiple industries.

Vishal Marria, Founder and Chief Executive, said, “While most companies are talking about AI and machine learning, we have been investing in it since our inception. We are investing our time, money, and resources into the biggest technological breakthrough for generations as it will transform how organizations make decisions.”

Quantexa was last mentioned in the media in April when it raised USD 129 million at a valuation of USD 1.8 billion. Warburg Pincus LLC, British Patient Capital Ltd, HSBC Holdings plc, Dawn Capital LLP, ABN AMRO Bank N.V., Evolution Equity Partners LLC, BNY Mellon Corp., and Albion VC are among the company’s investors.