Platform Overview
Platform overview
The InRule platform connects process automation, business rules, machine learning, and data.
Trusted by leading insurers, banks, healthcare, and government organizations.
Compatibilities of the InRule platform
Enterprises face costly delays and compliance risk when decisions can’t run fast and consistently at scale. The InRule runtime engine delivers low-latency, predictable execution across environments, ensuring speed, reliability, and compliance without operational disruption.
Unify rules and processes
Bring business rules, workflows, and machine learning together in one composable platform so logic stays consistent and automation scales easily.
Adapt and scale automation
APIs, containers, and deployment options make it simple to integrate with existing systems, connect new capabilities, and grow automation over time.
Ensure regulatory compliance
Every rule and process is logged, traceable, and explainable, providing transparency for audits and confidence in meeting regulatory requirements.
The most important factor in choosing InRule’s platform was its ability to capture all the different data sets … turning it into actionable insights and dashboards. … flexibility … was a true game-changer.
– Dana Elkin
Maintain rules over time
Adapt at scale
Modular architecture scales from a single rule to enterprise portfolios.
An API-first design integrates with existing systems and handles high transaction volumes. The platform supports iterative expansion, enabling teams to add capabilities without replatforming or disrupting live experiences.
Capture requirements
Design for business and technical users
Business users model rules while engineers ensure performance and integration.
A no-code modeling environment empowers non-technical business users to eautomate policy. Technical teams manage integrations and runtime SLAs, giving the organization a shared foundation for strategy, compliance, and operations.
Minimize execution time
Runtime engine
The runtime delivers deterministic performance at enterprise scale.
Refined over many years, the engine avoids delays from just-in-time (JIT) compilation and executes rules in the low tens of milliseconds. With containers for scale-out and a JavaScript runtime that runs anywhere — from browsers to Snowflake — execution is fast, consistent, and resilient.
Rule traceability
Security and compliance
Transparency and safeguards are embedded in every decision.
Every rule, change, and outcome is logged with version history, visual tracing, and APIs for programmatic audits. Privacy is protected through encryption and role-based access, while guardrails ensure automation always includes accountability.
Quickly integrate
Data
Data connects quickly and flows reliably at execution.
APIs and connectors integrate Salesforce, Dynamics, and databases without rework. Data is validated and enriched in real time, with rules shaping it as it flows. When moving data is inefficient, the JavaScript runtime executes rules where the data resides — including Snowflake.
InRule is built on three core pillars: governed automation, composable architecture, and human-centered design. Every capability—from decision modeling to process automation—follows these principles, ensuring automation is transparent, modular, and accessible to the people closest to the work. This balance of governance, flexibility, and usability makes InRule distinct from traditional automation tools.
Yes. InRule’s human-centered design empowers analysts and subject matter experts to author and test rules and processes visually. IT teams maintain oversight for performance, integration, and security, ensuring collaboration without dependency.
Absolutely. InRule can run on-premises, in the cloud, or in hybrid environments. APIs, NuGet packages, and containerized runtimes provide flexibility while maintaining governance and consistency across deployments.
Rules and processes can be updated in natural language or visual models without recoding. Built-in testing, traceability, and audit reporting ensure every change is logged and compliant before deployment.
Yes. InRule connects through open APIs, event-driven integrations, and a JavaScript runtime that runs automation close to the data. It fits into existing ecosystems—such as Salesforce, Dynamics, SAP, and Snowflake—without requiring major architectural changes.
The InRule runtime executes automation—rules, processes, and models—in the low tens of milliseconds. It’s optimized for high throughput and designed for predictable, auditable performance at enterprise scale.
InRule follows strict governance and privacy standards, including SOC 2 Type 2 and ISO/IEC 27001 certification. Every change is versioned and auditable, with access controls and encryption to protect sensitive information.
Yes. Its composable architecture supports containerized scale-out, CI/CD integration, and distributed workloads. Teams can expand automation incrementally without replatforming or disrupting production systems.
Definitely. InRule’s open, API-first design allows it to integrate with other decisioning, workflow, and AI tools. Many customers start by embedding InRule into a single process, then expand it to unify automation across teams and systems.
Resources
Explore the platform in action
Explore real-world examples of how organizations use InRule to unify rules, processes, and data. Read articles, watch webinars, and access expert insights on building transparent, adaptable automation.
