Production-grade AI for transforming financial services, increasing operational efficiency, mitigating risk, and improving customer satisfaction.
Transforming Financial Services with AI
AI adoption in financial services is forging ahead at an exponential pace. Deploying customizable, robust and trustworthy AI solutions can enable firms to:
Hyper-Customized AI Use Cases for Financial Services
We work closely with your business teams to understand data, needs and constraints when providing a solution. Each solution is delivered as a service on top of the BeyondMinds platform. We provide solutions that are stable, sustainable and fair, leveraging human-machine collaboration to constantly improve accuracy.
One Platform for your AI Transformation
BeyondMinds’ robust, end-to-end AI platform is constructed on a universal, modular technology stack. The platform’s innovative design enables rapid customization of solutions, solving pressing problems. Our platform ensures scalability and achieves your AI goals to ensure a complete AI transformation with a single platform.
Our platform is cloud-agnostic and adaptive to different environments, based on your technical constraints and business needs.
BeyondMinds’ solutions meet rigorous security and governance requirements, ensuring alignment as these growing demands and challenges evolve.
- SaaS Solution Layer
- On top of the BeyondMinds platform we build a solution which is hyper-customized to specific enterprise needs – use cases, business processes, KPIs, data and environment
- Core AI Layers
- Manage and maintain optimal solution performance over time: ensure trust to meet regulatory requirements; mitigate bias; allow easy man-machine interaction; enable full monitoring
- A full set of AI capability suites for various AI domains, such as NLP, Speech Analysis, Computer Vision etc.
- Guarantee a production-grade solution: high performance in noisy, corrupted or insufficient data environments; inference acceleration; stability under dynamic data conditions
- Data & Security Layers
- State of the art, highly scalable data ingestion layer that supports secure streaming and batch loads, REST and gRPC, structured and unstructured data intake
- Secure internal and external communication protocols, connection and session timeout management, encryption of data in transit and at rest, confidentiality, SSO, OAuth, SAML and MFA identification and authentication, authorization and access provisioning, data integrity verification, trust boundary identification, auditing and monitoring security events
- Cloud Native Support
We Love Theory
With our origin in academics, we are committed to furthering the education and understanding of AI.
White Paper: AI Potential for Customer Facing Services in Finance
There are many factors currently influencing the evolution of the financial industry, from consumers demanding more digital services to new types of competition penetrating the…
2021 VentureBeat Transform: Panel on AI in Financial Services
Watch AI experts from Goldman Sachs, PayPal and Mastercard discuss with BeyondMinds’ CTO the most pressing topics that financial institutions face when implementing AI solutions: The main adoption challenges that are holding back organizations from scaling AIPromising use cases and latest AI trends in financial…
AI is Radically Transforming the Very Foundations of Financial Services
Banking has significantly evolved since its establishment nearly 4000 years ago when it was based on a simplistic barter system. In that time, the banking industry has gone through major transitions, from the introduction of standard currencies to now the digitization of finances. However, the deployment of artificial…
The AI Consulting Podcast: Pivoting from an AI Services Firm to an AI Platform Company
Dr. Roey Mechrez is once again hosted at the AI Consulting Podcast, addressing the following topics: Productization of AI use-cases The shift from model-centric to production-centric AI Introducing the comcept of AI-as-a-Service (AIaaS) How a horizontal platform can shorten the deployment cycles of AI…
MLOps Podcast: Algorithmic challenges in bringing ML models into production
Tune in to the MLOps podcast and hear BeyondMinds CTO & Co-Founder Dr. Roey Mechrez address the following topics: The algorithmic challenges of building an ML platform that needs to adapt to different customer needs Designing a rubust platform that is intented for non-technical users withing enterprise customers…
Creating Configurable Data Pre-Processing Pipelines by Combining Hydra and Sklearn
Data pre-processing pipelines are an integral component in any machine learning (ML) system and can have significant effects on the performance of ML models. This article presents a software tool, which supports efficient experimentation and deployment of ML systems. Specifically, the tool generates configurable data…
Infographic: Money Laundering & AI
Money Laundering is a multi-billion-dollar problem for banks and governments alike. It’s not just one of the most common types of financial crimes – it’s also increasing rapidly, taking a significant toll on financial institutions, that struggle to keep up with this growing threat with traditional AML software.…
The AI Consulting Podcast: Demystifying the Technical Challenges of AI Adoption
BeyondMinds CTO & Co-Founder Dr. Roey Mechrez is hosted at the AI Consulting Podcast, addressing the following topics: Preparing datasets to properly train AI models Training & re-training algorithms Striking the right balance between automated and humans in mission-cricital use cases Monitoring AI solutions…
AI-Powered Risk Scoring Helps Fight Payment Fraud
2020 was a transformative year for online services, commerce and payments. On the back of the pandemic, the digital commerce ecosystem has experienced a radical growth spurt. The widespread disruption across all walks of life led to a tectonic shift in e-commerce, speeding up the adoption of digital wallets,…