Step into the world of automation excellence

Advanced rule logic modeling, execution and lifecycle management. Automate any data workflow, from the simple to the complex.

Get Started

Unparalleled features for the entire automation lifecycle

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

Heading

  • Graphical interface + JSON REST interface
  • Simulation lab with extensive debugging features
  • Replay historical data in batch

Heading

  • Graphical interface + JSON REST interface
  • Simulation lab with extensive debugging features
  • Replay historical data in batch

Heading

  • Graphical interface + JSON REST interface
  • Simulation lab with extensive debugging features
  • Replay historical data in batch

A special kind of rules engine

The Waylay rules engine lies at the core of the Waylay Automation Platform. It is an intelligent bayesian inference engine that uses Smart Agents to model rules.

The Agents separate the business logic from sensing and actuation, making it easy for users to model any IoT business logic without writing custom code.


Button Text

Key features for business analysts

Used by domain experts to manage use-case-specific business rule logic.

Encode your domain expertise in business rules

Encode your domain expertise in business rules

Encode your domain expertise in business rules

Key features for developers

Used by software engineers as a back-end dev tool to create robust IoT applications.

Encode your domain expertise in business rules

Encode your domain expertise in business rules

Encode your domain expertise in business rules

Get started with Waylay

Book your demo
01

Book your demo

30-min 1:1 demo call

02

Assess the platform

30-day free trial

03

Validate your case

1-4 month POC

04

Roll-out production

Ongoing success

Step into the world of automation excellence

Amplify your team’s proven domain expertise across trillions of live data points. Waylay's automation technology provides a low-code approach to apply expert knowledge and heuristics across large sets of data. Aimed at subject matter experts, non-data experts, power business users.

Monitoring the water level of rivers

Processing single metrics or formula processing of several data points from water pumps and other sensors, to assess the water level of rivers in real time and send early flood hazard notifications to operators.

Monitoring the water level of rivers

Processing single metrics or formula processing of several data points from water pumps and other sensors, to assess the water level of rivers in real time and send early flood hazard notifications to operators.

Book your demo

Step into the world of automation excellence

Amplify your team’s proven domain expertise across trillions of live data points. Waylay's automation technology provides a low-code approach to apply expert knowledge and heuristics across large sets of data. Aimed at subject matter experts, non-data experts, power business users.

Operationalize your analytics

Tap into the rich potential of your asset and process data with easy operational deployment for stream, time series and ML analytics.

Introducing Waylay Digital Twin Architecture

Book your demo

Automatically transform raw sensor data into relevant business metrics, in real-time.

Book your demo

Automatically transform raw sensor data into relevant business metrics, in real-time.

Book your demo

Automatically transform raw sensor data into relevant business metrics, in real-time.

Data science services to put you on a successful data track

Our team of data engineers and data scientists can help you get started with your data strategy, to ensure that you get the most business value from your data.

Knowledge Hub - Waylay Videos Image

Together we will

Define your asset data utilization strategy
Set-up the technical architecture to enable it
Kick-off the implementation to see it in action
Book your demo

Unlock more customer and operational value with popular native integrations or easily configure your own

Put your product data to operational use by getting IoT insights into your line of business IT applications, in real time.

Operationalizing IoT data empowers cross-functional teams and maximizes the business return on IoT investments.

Connect to any IoT and OT data source and accelerate data ingestion and processing

Book your demo

Automatically transform raw sensor data into relevant business metrics, in real-time.

Book your demo

Automatically transform raw sensor data into relevant business metrics, in real-time.

Book your demo

Automatically transform raw sensor data into relevant business metrics, in real-time.

Connect to any cloud or
on-prem IT

Use our massive library of off-the-shelf enterprise connectors

Leverage sample code and REST APIs to build your own connectors to custom IT back-ends
Leverage sample code and REST APIs to build your own connectors to custom IT back-ends
Leverage sample code and REST APIs to build your own connectors to custom IT back-ends

Easily package and deliver IoT solutions to multiple functional groups

The Waylay UI Designer is an off-the-shelf, multi-tenant dashboarding application built on top of the Waylay automation platform. Abstract away the complexity of the underlying tech, while still empowering customers to benefit from its capabilities.

Easily package and deliver IoT solutions to multiple functional groups

Granular data visualization, from sensor level to asset groups
Granular data visualization, from sensor level to asset groups
Granular data visualization, from sensor level to asset groups
Granular data visualization, from sensor level to asset groups
Granular data visualization, from sensor level to asset groups
Granular data visualization, from sensor level to asset groups

Easily package and deliver IoT solutions to multiple functional groups

Granular data visualization, from sensor level to asset groups
Granular data visualization, from sensor level to asset groups
Granular data visualization, from sensor level to asset groups
Granular data visualization, from sensor level to asset groups

Easily package and deliver IoT solutions to multiple functional groups

Granular data visualization, from sensor level to asset groups
Granular data visualization, from sensor level to asset groups
Granular data visualization, from sensor level to asset groups
Granular data visualization, from sensor level to asset groups

A short introduction to IoT automation

IoT application development is fundamentally different from “normal” IT development. It requires bridging the physical world of Operations Technology (OT) with sensors, actuators and gateways to the digital world of Information Technology (IT) with databases, analytics and business tasks.

This bridging of two worlds has important consequences over how business rules are built within the IoT application. Building logic by configuring rules straight into the code is suboptimal, unscalable, costly and time-consuming. To solve these problems, automation is key.

Automating IoT solution development requires using a rules engine or a combination of engines. In order to help you determine what type of rules engine technology best suits your use case, we have defined an evaluation benchmark, made up of seven key evaluation criteria.

Easily package and deliver IoT solutions to multiple functional groups

Customer role vs. user role Waylay Digital Twin

Technology criteria

01

Modeling complex logic

Real life is multivariable.

The engine should support:
  • Combining multiple non-binary outcomes of functions (observations) in the rule, beyond Boolean true/false states.
  • Dealing with majority voting conditions in the rule.
  • Handling conditional executions of functions based on the outcomes of previous observations.
02

Modeling complex logic

Real life is multivariable.

The engine should support:
  • Combining multiple non-binary outcomes of functions (observations) in the rule, beyond Boolean true/false states.
  • Dealing with majority voting conditions in the rule.
  • Handling conditional executions of functions based on the outcomes of previous observations.
03

Modeling complex logic

Real life is multivariable.

The engine should support:
  • Combining multiple non-binary outcomes of functions (observations) in the rule, beyond Boolean true/false states.
  • Dealing with majority voting conditions in the rule.
  • Handling conditional executions of functions based on the outcomes of previous observations.

Implementation criteria

04

Explainability

The engine should be explainable, allowing users to understand why rules are fired and to identify and correct errors. The engine’s internal complexity should not come in the way of its users being able to easily test, simulate and debug that complexity. Users also require a high level of understanding and transparency into decisions with inherent risk.

05

Adaptability

The engine should be flexible enough to support both commercial and technical changes with minimum friction, such as changing customer requirements or changes in APIs. In order to account for future growth, the rule engine should be easily extendable and capable to support integration with external systems.

06

Operability

The engine should be operationally scalable. When deploying applications with many thousands or possibly millions of rules running in parallel, the engine should effectively manage the large volumes, by supporting templating, versioning, searchability, bulk upgrades and rules analytics.

07

Scalability

The engine should provide a good initial framework and abstractions for distributed computing to enable easy sharding. Sharding refers to components that can be horizontally partitioned, which enables linear scaling – deploying “n” times the same component leads to “n” times improved performance.

Download the full benchmark

Complete with extensive definitions and examples for each of the seven evaluation criteria.Download the eBook

Download the eBook
Binding Salesforce assets to IoT objects or physical assets by creating digital twin assets