AI & Machine Learning Operationalization (MLOps) Software
In this world, nothing is certain except death, taxes, and regulations. The global financial industry has been fined USD 345B in penalties since 2009, while they are spending USD 270B annually on risk and compliance-related activities – What gives? Global financial firms must deal with 900+ regulators, 300+ million pages of rules, many standards, and a regulatory change every 7 minutes. It does not get any better for a national bank or a regional bank operating in the US; they deal with a complex and dynamic regulatory landscape. Enterprises also deal with a myriad of internal changes and factors such as organization structure, the introduction of new products or services, and pending enforcement actions. Throwing more humans at this problem and creating solutions to optimize the workflow between the humans has not worked, as evident by the ballooning cost of compliance and the increasing penalties due to non-compliance. In 2020, the 4CRisk.ai team battle-hardened by 100+years of collective GRC experience and a passion for solving the “unstructured data” problem trained neural networks and used advance AI techniques to encapsulate the intent of regulations into mathematical structures called vectors. These vectors are now being used to emulate human intelligence and augment the human effort at scale to perform activities like regulatory research, automate impact assessments, and mitigate the design weakness of your compliance and risk documentation. We are a data-intelligence platform company on a mission to reduce your cost of compliance and decrease the risk of non-compliance. Our AI-powered solutions augment your human-capital to identify, mitigate, and convert risks into opportunities.
- Revenue
- $4.4M
- Customers
- -
- Year founded
- 2019
- Funding
- -
- Team size
- 40
- Location
- United States
