AIEB.DEV

deployed_codeInfrastructure

This is not a shell.

AIEB is built as production-grade infrastructure designed for scale, reliability, and continuous improvement.

Architecture

System Architecture

Four interconnected layers that transform inputs into scalable video output.

01

Input Layer

Structured ingestion of assets, brand guidelines, and campaign parameters.

Asset management
Brand configuration
Campaign parameters
API integration
02

Strategy Layer

AI-driven analysis and creative strategy determination.

Audience analysis
Creative strategy
Variant planning
Performance prediction
03

Execution Layer

Orchestrated AI generation and production automation.

Multi-model orchestration
Parallel processing
Quality assurance
Format adaptation
04

Optimization Layer

Continuous learning from performance data.

Performance tracking
Feedback integration
Model fine-tuning
Strategy refinement
Philosophy

Design Philosophy

Principles that guide how we build and evolve AIEB.

dns

Infrastructure over features

We build foundational systems that enable scale, not point solutions that solve single problems.

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Scale over aesthetics

We optimize for volume and consistency. Perfection is the enemy of scale.

analytics

Metrics over opinions

Data drives decisions. Every generation strategy is validated by performance.

Flexibility

Model Independence

AIEB orchestrates AI models — it does not depend on a single one.

Our architecture is designed to leverage the best capabilities across different AI models while maintaining consistency in output. As models improve, AIEB automatically incorporates these improvements without requiring system changes.

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Multi-model orchestration
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Automatic capability routing
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Model-agnostic output quality
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Continuous model evaluation
AIEB

Orchestration layer that routes tasks to optimal models

M1
M2
M3
M4

Want to see it in action?

We're happy to walk through the technical architecture and discuss how AIEB can integrate with your systems.