Strise was founded with AI as a core component of our vision. From the beginning, we have always been driven to make the world “just a little bit smarter and more efficient”, primarily through democratizing the access to information driven by technological advancements. With AI, we saw a huge potential to automate tedious, error-prone tasks — particularly within the enterprise where repetitive work and manual work is (still years later) extremely common.
Today, our mission at Strise is to be The AML Automation Cloud — a solution that helps fight financial crime with intelligence, efficiency, and responsibility. AI is core to this mission. It isn’t just a technology for us — it's a fundamental tool that changes how we work, what we build, and how our customers succeed.
As we developed our technology, we discovered that combining AI with Knowledge Graphs was a powerful yet surprisingly underexplored combination. AI helped to automate, predict, and augment — while Knowledge Graphs provided the structured context that AI needs to make sense of complex relationships.
Looking for the perfect use case, we landed in Compliance. With it’s combination of critical, high-value work and an overwhelming load of manual data handling, it was an obvious fit. It was also massive and continuously growing opportunity: with the rise of AI, the growing knowledge gap between slow-moving, regulation-heavy institutions and fast-moving criminal enterprises was increasing faster than ever.
AI and Knowledge Graphs became the foundation for how to create a powerful system that makes compliance both smarter, easier and more efficient.
To make sure everyone at Strise is aligned, we’ve defined a set of core beliefs about AI and our vision for how we will leverage it to win the fight against financial crime.
AI reinvented itself in November 2022 with the public release of ChatGPT. While the technology was not new in itself, it created a boom across the industry, and started a paradigm shift towards generative AI. Suddenly AI was accessible to anyone, and you no longer needed to be an educated Data Scientist or ML-engineer to build an AI system, or understand it’s value.
In Strise, our strategy at that point was to stay put, and observe, but largely focus on building what we’d already planned on building. We focused on the core.
Since then, AI has become an integral part of everyday life in Strise. We’ve adopted a number of AI tools across many departments, done AI hackathons and built up a significant internal competency on AI.
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Read more in Strise AI Core Beliefs
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Strise use AI as a fundamental part of our products. For example, our data cleaning pipelines normalize raw data for analysis, while entity merging algorithms unify fragmented information into a single, accurate source of truth. Data inconsistencies are a critical challenge in KYC, KYB, and AML, often causing errors and inefficiencies. Strise’s Knowledge Graph dynamically organizes diverse datasets, while our AI models resolve discrepancies in real time, ensuring reliable insights for compliance and risk assessment.
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Read more in Strise Knowledge Graph
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In a world where technology changes rapidly, automation is key. By automating complex tasks -- such as merging related entities, understanding intricate ownership structures, and continuously scanning entire networks for PEPs, sanctions, and adverse media — we free up human experts to handle only the most complicated problems. This allows the human in the loop to focus on the really challenging bits.
Strise is not just an empty shell. It already includes extensive data on businesses, owners, individuals, adverse media, sanctions, and PEP lists. All you have to do is provide your customer list—Strise handles the rest. Unlike many systems that require you to source and integrate data yourself, Strise takes care of entity merging and data quality automatically, simplifying your workflow from day one.