Designed to facilitate automation tasks directly at the edge - for applications where low latency and offline capability are crucial,
such as in industrial environments, data centers, smart buildings, and general IoT deployments.
Increase the productivity of your remote service operations and reduce your field service costs.
Your device data is natively exposed throughout the Salesforce ecosystem enabling your remote teams to monitor, analyze and troubleshoot equipment.
Increase revenues and margins through the reduction of unplanned downtime. Create and automate monitoring rules to scan and interact with your equipment, identify anomalies and recommend actions to ensure the performance of your installed base.
Increase customer’s peace of mind through a proactive service delivery approach..
Share KPIs, performance dashboards and predictive insights with internal & external audiences.
€5.6 million field service savings for a medium-sized discrete manufacturer over 3 years.
Leading Implementation Partner can have a deployment up and running in less than 1 week.
Large specialty rental supplier experiences 80% accurate machine shutdown predictions.
Specialty vehicle manufacturer implemented Waylay Digital Twin on 40,000 vehicles, processing 300 million data points daily and managing over 53,000 rules simultaneously.
Waylay has been implemented on MS Azure, AWS and supports any Cloud deployment configuration.
Highly scalable across any enterprise. Large agricultural equipment manufacturer reduces 24h+ response time to 30 min.
AZURE/ AWS
LPWAN
OPC-UA
REST
File import
AZURE/ AWS
data ingestion, protocol & data normalization
Make IoT data actionable:low-code automationbring-your-own ML
integration with line-of-business apps: CRM, ERP, servicedesk, ...
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We are thrilled to announce a significant transformation in our payment solution, one that reflects our commitment to innovation, security, and providing a seamless experience for our valued users. As part of this exciting development, we have rebranded our payment solution to "FraudAway."
This rebranding is not merely a change in name; it represents a comprehensive evolution in our approach to online transactions and the ever-evolving landscape of digital commerce. Here's a closer look at what you can expect from FraudAway:
The Threat of Transaction Fraud and Its Impact
The risk of transaction fraud is more prevalent and sophisticated than ever before, causing significant financial losses and reputational damage with credit card losses predicted to hit $17 billion annually by 2030. Chief credit risk officers must develop better tactics to minimize fraud losses as payment fraud costs them 10% of their revenue whereas business users struggle to comply with regulations that take three to six months to update, leading to poor customer service and operational risk. This and more while fraudsters continue to exploit weaknesses and new tactics emerge regularly, leading to higher costs, lower trust, and legal risks.
Mitigating the Risks of Fraud in Transactions
Waylay's fraud monitoring solution uses a combination of rule based systems (that have been built and tested over the decades by finance experts), in combination with the latest advancements in AI. It reduces the operational costs associated with fraud while enhancing customer experience, making it easier to transition from a rule-based approach to a combination of artificial intelligence and business/compliance rules. It has a modular approach toward fraud management, allowing legacy modernization programs to evolve gradually. Waylay's payment solution seamlessly operates across cloud, on-premise, and in hybrid environments, harnessing the full capabilities of modern cloud-native applications.
FraudAway offers a groundbreaking solution for finance with a hyperautomation platform that harmonizes rule-based systems with AI/ML capabilities. Our payment solution seamlessly operates across cloud, on-premise, and in hybrid environments, harnessing the full capabilities of modern cloud-native applications.
Our solution is capable of processing hundreds of million transactions per day in batches or in real-time with a response time of less than 1ms per transaction—quickly improving fraud detection and prevention capabilities while reducing operational costs and bettering customer confidence.
An AI-based hyperautomation fraud detection solution is cloud neutral and combines machine
learning with a business rules engine to minimize fraud losses while reducing false positives.
Fraudsters, armed with state-of-the-art technologies, are persistently targeting the finance sector. Consequently, these constant attacks contribute to the finance industry incurring hundreds of billions in losses annually.
Learn why by adopting a multifaceted approach—one including ML, AI, and a BRE with robust security measures—enterprises in the financial industry are able to build an even stronger protection and stronger trust with customers while also protecting themselves from significant financial losses and reputational damage.
With the extensive use of e-commerce, credit card fraud has become a major issue that every bank, payment processing platform or web-shop site is facing. Big loss in business is not only related to fraudulent transactions, but also in denying legit transactions, which are deemed to be fraudulent leading to loss in revenues, high levels of customer traveling and more.
Today, the competition in the financial services landscape is growing rapidly with entry from the non-banks. Small fintech companies are nibbling away at large financial institutions’ market share for their products and services. The major value proposition from fintech is top of the line end-to-end customer experience.
If you're keen on implementing multi-agent applications within your own organization, read this article.
By harnessing the power of cloud technology and implementing condition-based and predictive maintenance strategies.
Waylay joins Amazon Web Services Partner Program to revolutionize enterprise operations with its cutting-edge automation technology.
Designed to facilitate automation tasks directly at the edge - for applications where low latency and offline capability are crucial,
such as in industrial environments, data centers, smart buildings, and general IoT deployments.
Awarded to the team that shows the most powerful use of TM Forum assets in their Catalyst project and quantify the benefits of using these assets.
Learn More
At Waylay, we provide innovative low-code automation solutions for telecom companies. Our cloud-native platform can integrate and orchestrate modern and legacy systems up to network element level, instantly adding new capabilities to your telecom stack.
Beyond workflows and connectors, we integrate streaming data ingestion, time series analytics, resource models and an API-gateway.
Our cloud-native architecture ensures the transparent scaling of platform services in support for the most demanding loads and very large volume transaction executions.
Import and execute AI/ML models as part of Waylay workflows, including time-series data preparation and output interpretation for closed-loop automation.
Integrate with existing systems, reusing investments and protecting running workloads, while expanding them with new, rapid service roll-out capabilities.
Discover the distinctive features that set us apart with a quick glance. Explore a pragmatic blend of cutting-edge innovations and functional creativity that characterizes our approach in the technology landscape. From refined algorithms to user-friendly interfaces, our solutions reflect a commitment to practical excellence. Navigate through our offerings to understand how our technology, rooted in expertise, is poised to redefine industry benchmarks. Experience a straightforward exploration of our unique technological attributes, offering a glimpse into the pragmatic and transformative nature of our solutions.
Tap into all your existing operational software systems and connected assets, leveraging time series data, event streams and AI models with ease in a low code environment. Think of us as an automation companion which unifies process automation, decision management and API orchestration under a single, easy to use umbrella.
Around its core workflow engine, Waylay integrates custom connectors, asset modeling, time series data analytics, ETL capabilities, event ingestion, and a responsive web user interface, all packaged in an ultra-scalable hyper-automation platform. Enabling you to focus exclusively on what brings immediate value for your business: its use cases.
Our features have been proved to enable an accelerated roll-out of telecom services, up to 20x faster. Low-code empowers subject matter experts to directly and collaboratively translate their domain-specific knowledge into automation flows, bypassing the need for bespoke software development and expensive integration projects.
AI models do not live in a bubble. To benefit the business, they must connect to live operational data and their outputs need to be turned into automated actions and decisions. Waylay lets you easily import the ML models produced by your data science teams and wire them into automated flows that leverage time-series data for intelligent, near real-time insights and closed-loop automation.
A cloud-native, horizontally scalable architecture, coupled with serverless execution capabilities enables Waylay to address use cases that scale to millions of workflow executions per day, and beyond. All of it happening behind the scenes, such that our users won’t even notice.
Easily integrate with any 3rd party API, event bus, data source or connected asset, via a flexible and user-expandable plugin mechanism. Then orchestrate them as part of highly-scalable workflows that are defined graphically, using state-of-the-art low-code development methods.
Cut down point-to-point integrations, bespoke development and custom changes by moving to a new Waylay-powered roll-out model based on low code automation.
Designed to facilitate automation tasks directly at the edge - for applications where low latency and offline capability are crucial,
such as in industrial environments, data centers, smart buildings, and general IoT deployments.
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