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The Core Environment is the default execution environment in Avigrah. It is designed to provide a fully managed, production-ready infrastructure where AI systems can be deployed and operated without requiring any setup or system management.

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What is Core?

Core is a shared execution environment where your AI systems run on managed infrastructure. It allows you to:
  • Deploy AI systems instantly
  • Run pipelines and workflows reliably
  • Operate at production scale without infrastructure management
All projects created in Core operate within this environment.

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Shared Infrastructure Model

Core operates on a multi-tenant architecture, where infrastructure is shared across users to ensure efficiency and performance. This means:
  • Compute and system resources are optimized globally
  • Performance is stable and consistent
  • Costs remain efficient
At the same time:
  • All data, pipelines, and projects remain logically isolated
  • No cross-project or cross-organization data access occurs

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What You Can Do in Core

Core provides everything required to run standard AI systems:

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Deploy AI Templates

Use curated, production-ready templates to quickly launch AI systems.

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Run Data Pipelines

Ingest, transform, and prepare data for AI execution.

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Execute AI Workflows

Run multi-agent systems that generate insights, signals, and outputs.

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Monitor and Operate

Track execution, monitor pipelines, and manage workflows in real time.

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Characteristics of Core

Core is designed for consistency and reliability.
  • Fully managed infrastructure
  • Standardized execution environment
  • Predictable performance across workloads
  • Built-in scalability for most business use cases

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Template Access in Core

Core provides access to a curated set of stable templates. These templates are:
  • Pre-validated for production use
  • Optimized for common business scenarios
  • Structured for consistent outputs
More advanced and customizable systems are available in Apex.

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When to Use Core

Core is suitable when:
  • You want to deploy AI systems quickly
  • Your use case fits within standard templates
  • You do not require custom infrastructure or system-level control
  • You are running internal or mid-scale production workflows

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Operational Model

In Core:
  • You configure projects
  • Attach pipelines and integrations
  • Deploy AI systems from templates
  • Run and monitor execution
The platform handles everything else.

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Positioning

Core is designed to help you start fast and operate reliably. It removes infrastructure complexity while ensuring your AI systems remain secure, scalable, and production-ready.