Born out of necessity
When Quantexa was founded, hundreds of data-intensive organizations around the world were facing up to the same challenges—they couldn’t close the gap between all the data they were accumulating and the millions of mission critical decisions their organization needed to make every year.
We were approached by two global enterprises under intense scrutiny from regulators, looking for both a better, more efficient way to use their data and a way to seriously improve accuracy and lower their costs.
We quickly realized that every data-intensive organization is facing the same challenges these regulated organizations were dealing with years ago.
Today we’re helping organizations across banking, insurance, the public sector, and beyond to change the way they make millions of operational decisions every year.

We solve the hardest data problems where complexity exists and scale is needed
Our vision at Quantexa is for all organizations to have the ability to harness their data to uncover hidden risk and discover new opportunities. To use data for good across real-world problems.
Working with us gives you access to world-class specialists and leading edge contextual decisioning technology.
The people who built our platform pioneered network analytics back in 2004, where they worked in the most challenging security environments. Now, they’re joined by Quantexa’s software, data and analytics experts, and supported by specialists in financial crime, fraud, customer intelligence, and compliance .
Whatever challenge you face, whatever application you have—our experts help you adopt our open technology within your environment.
The technology platform we’ve built is sustainable and scalable as part of an industry ecosystem: it evolves with the market. We work with Tier 1 organizations worldwide, like HSBC, and Standard Chartered Bank, helping these businesses handle tens of billions of records.
With real-time entity resolution, network generation and advanced analytics, we create the context that helps organizations make more informed and accurate decisions – faster.

The introduction of the first automated AML capability in the Trade Finance industry enables HSBC to more effectively concentrate our resources on genuine financial crime risk within our business and make trade safer for customers and society.Adrian Rigby, COO of GTRF, HSBC

Quantexa’s AI platform will allow us to conduct complex thematic investigations more efficiently and effectively, demonstrating our ongoing commitment to upholding the highest global standards in compliance and risk management.Bill Winters, Group Chief Executive, Standard Chartered Bank

Our executive board and leadership team
Meet our leadership team, board and the people who advise us.
Industry recognition
Featured in Chartis RiskTech100®2020

Information Age ‘Top 10 UK RegTech companies’

Named ‘Cool Vendor’ by Gartner, 2019

Celent Model Banking Award Winner – HSBC 2019
Quantexa named in Tech Nation Future 50

Frost & Sullivan Best Practices Award 2019

SWIFT Innotribe Challenge Winner

Ranked at No.14 in The Sunday Times Tech Track 100

35th Fastest Growing UK Technology Company in Deloitte’s Fast 50

Named a RegTech100 Company 2021

FT1000 Europe’s Fastest Growing Companies

Top 50 Fastest-Growth Technology Company in D&B Accelerate 50

Overall Data Analytics Platform of the Year
Information Security
Information Security is at the core of what we do. We are committed to promoting effective controls across the range of information, technical, personnel, and physical security to maintain the confidentiality of our and our client’s data.

Careers at Quantexa
Our technology addresses real-world problems, it’s innovative and it’s making a real difference in the world. To build technology that shapes the world, we need a diverse and dedicated team behind it.

Our partners
With collective expertise, proven ability and co-innovation, Quantexa’s partner programme is creating an industry-wide ecosystem that empowers a multitude of organizations to harness the power of context and deliver differentiation at scale.
