Why Contextual?

Contextual dramatically simplifies the development, deployment, operations, and scaling of backend microservices that power your business applications, automation, integrations, and processes.

  • Contextual’s fully integrated tech stack eliminates timely setup and configuration.

  • Contextual’s low-code flow editor, AI-driven data schemas, and instant API reduce unnecessary coding.

  • Contextual’s automatic deployment and instant scaling decrease operational complexity and burden.

What is Contextual Good For?

Contextual is ideal for backend microservices that require asynchronous event processing, the ability to execute discrete business logic on every event as it flows through the system, and the ability to scale from zero to high transaction volumes in real-time.

Organizations with distributed field service operations, real-time client data exchange or system integrations, high-transaction volume sales, purchasing or support teams, connected IOT devices, or cross-functional / cross-system workflow management requirements benefit from Contextual’s ability to enable fast, cost effective and scalable microservices for:

  • Event Transformation, Enhancement and Triggering - Taking a raw transaction or event and modifying it to the format required for a downstream system, enhancing the data for presentation to an end user, or applying rule-based business logic that triggers follow-on action.

  • AI Analysis and Processing - Passing individual events into an LLM assistant to interpret and summarize natural language, categorize requests, prioritize incidents or identify variance.

  • Data Collection and Organization - Regularly polling or receiving data from disparate internal or third party systems and applying rules or logic to consolidate that data into actionable records for subsequent processing.

  • Validation and Verification - Comparing an individual transaction or group of transactions against an established pattern, rule-set, delivery obligation or expected result to ensure service, contract or financial compliance.

Example Contextual Microservices

For instance, standardizing timezones, applying consistent categorization rules, localizing language or transforming measurements.

How does Contextual simplify development, deployment, operations and scaling of those backend microservices?

Contextual dramatically reduces time to value for backend microservices by eliminating timely setup and configuration, reducing unnecessary coding and decreasing operational complexity and burden. We achieve this by delivering:

World Class, Fully Integrated Tech Stack for Asynchronous Apps

Contextual has customized, augmented and combined a suite of state-of-the-art open-source technologies in order to create a fully-managed, tightly integrated technology stack. The Contextual solution combines critical functions for data definition and management, asynchronous message handling, secure API access, low-code business logic development and zero complexity deployment. All of this is deployed with just a click, enabling developers to begin working on business value immediately.

AI-Driven, Low-Code Application Development

Contextual’s development tools are linked with OpenAIs API to simplify critical development functions including data record schema design and NodeRED-based business functionality. With simple AI prompts, developers can create, modify and deploy p

  • One-Click Microservice Service Deployment

  • Customizable, Agent-Based Compute Scaling

A Quick Contextual System Flyover

  • Home - Useless today. TBD

  • Services - When you are ready to move functionality between tenants in Contextual, Services provide the answer. Any of the Components within Contextual can be

  • Components - The heart of building stuff.

    • Object Types

  • Object Data

  • Security

  • Tenant API

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