Orchestrate agentic AI solutions

AI as Code (AIaC) is an architectural layer and configuration model for efficiently orchestrating robust, future-proof AI solutions at scale.

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Powering with magnificant of Companies

Software orchestration platforms.

Orchestrate agentic AI solutions

AI as Code (AIaC) is an architectural layer and configuration model for efficiently orchestrating robust, future-proof AI solutions at scale.

Learn More

Powering with magnificant of Companies

Software orchestration platforms.

Unified Configuration Model

Modernize.

Everything as Code

A Unified Configuration Model and System of Record for defining and orchestrating software solutions spanning edge, cloud, application and AI.

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AI as Code

An architectural layer and configuration model for efficiently orchestrating robust, future-proof AI solutions at scale.

Learn More

Cloud applications orchestrated by Everything as Code.

Unified Configuration Model

Modernize.

OpenBiotech

The cloud interface for biosensing. OpenBiotech curates and simplifies cloud operations while customers maintain cloud ownership and control.

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OpenIndustrial

The cloud-native integration hub that synchronizes industrial edge device and control systems with data aggregation, analytics and alerts services.

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Cloud applications orchestrated by Everything as Code.

OpenBiotech

The cloud interface for biosensing. OpenBiotech curates and simplifies cloud operations while customers maintain cloud ownership and control.

Learn More

OpenIndustrial

The cloud-native integration hub that synchronizes industrial edge device and control systems with data aggregation, analytics and alerts services.

Learn More

The overarching config layer for AI

AI as Code (AIaC) is a subset of Everything as Code (EaC), a Unified Configuration Model and System of Record for defining and orchestrating software solutions. AI as Code is the streamlined, overarching architectural layer that incorporates different technologies – legacy enterprise services or modern AI tooling – as elements in the same model.

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This approach does not replace any existing tools or configuration methods – whether LLMs, RAG, or framework and runtime environments like LangChain or Semantic Kernel – but unifies and orchestrates technologies to form robust, future-proof and scalable AI solutions.

Reusability

EaC provides a pathway for modernizing legacy codebases, allowing developers to replace outdated technology with new, modern components.

Reusability

EaC provides a pathway for modernizing legacy codebases, allowing developers to replace outdated technology with new, modern components.

Reusability

EaC provides a pathway for modernizing legacy codebases, allowing developers to replace outdated technology with new, modern components.

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A design system for scalable AI solutions

AI as Code's architectural approach streamlines and standardizes the creation of complex multi-agent flows, enabling developers to focus on innovation rather than grappling with constantly changing APIs. Build resilient AI solutions that can be easily maintained, extended or adapted in this rapidly evolving AI technology landscape.

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Unified Configuration Model

Modernize.

Simplify Complex Agent Development

Define and orchestrate modular components for multi-agent AI solutions that can be quickly adapted or reused without the need for extensive reconfiguration.

Reuse, Adapt and Scale

A design system that simplifies and standardizes the creation of complex multi-agent flows, yet ensures correct assimilation within existing architectures and systems.

Unified Configuration Model

Modernize.

Protect Against API Volatility

A protective layer that absorbs API changes, ensuring that multi-agent systems remain stable and functional even as underlying technologies update and evolve.

Incorporate Existing Systems

Integrate AI solutions directly within existing infrastructures and ensure that new solutions are not isolated silos but part of a cohesive system from end-to-end.

The overarching config layer

AI as Code does not replace any existing tools or configuration methods – whether LLMs, RAG, or framework and runtime environments like LangChain or Semantic Kernel. AIaC is the streamlined, overarching architectural layer that incorporates and unifies different technologies – legacy enterprise services or modern AI tooling – as elements in the same model.

Get Started

Unified Configuration Model

Modernize.

Unify

AIaC defines every core element that makes up AI solutions and orchestrates the relationships between these elements.

Reuse

AIaC facilitates code and component modularity, reusability and efficiency by defining and combining every element through the same, unified configuration method – enabling a seamless micro-service/application architecture.

Unified Configuration Model

Modernize.

Abstract

AIaC operates as an abstraction layer for defining modular components and combining them to power AI bots and agents – unifying yet maintaining a decoupling a solution's logic and interface.

Modernize

Future-proof AI solutions by developing solution logic and output that isn't tied to any tech framework or specification. Evolve without limits.

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Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

Lorem ipsum dolor sit amet

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

Get Started

Unified Configuration Model

Modernize.

Unified Configuration Model

Modernize.

Unified Configuration Model

Modernize.

Unified Configuration Model

Modernize.

What people say about us

Michael Justin

CEO Company

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