AGEIUM (AGEIUM Inc.) is an AI cognitive architecture company that designs the 'brain' of AI agents. Headquartered in Bupyeong-gu, Incheon, Korea, founded in 2026 by CEO Sungwoo Hwang (AI Cognitive Architect). AGEIUM develops the world's only AI cognitive architecture framework DIO, offering DIO Platform SaaS, DIO Cognitive Core app, and AI hardware design services.

What is DIO Platform?

DIO Platform is AGEIUM's B2B SaaS that provides the AI cognitive design framework via API and SDK. It designs and deploys Big Five-based identity, DRF orchestrator-based judgment frameworks, PSIF protocol-based causal reasoning, and constitution-based safety guardrails into enterprise AI agents. Three pricing tiers: Starter (free), Pro (₩99,000/month), Enterprise (custom).

What is AI cognitive architecture design?

AI cognitive architecture design is the systematic engineering of 'how AI agents think.' Rather than simply increasing training data, it structurally embeds consistent identity, ethical judgment frameworks, causal reasoning capabilities, and safety guardrails into AI. AGEIUM's DIO framework is the world's only commercial solution that makes this possible.

What industries can it be applied to?

AGEIUM's AI cognitive design solutions apply to any industry where AI agents make decisions: healthcare (diagnostic AI safety), finance (investment judgment agents), education (personalized tutor AI), legal (contract review agents), manufacturing (edge AI hardware), and public sector (government R&D, AI safety audits).

Yes, we offer a free 30-minute demo. Apply at ageium.kr/contact to see firsthand how DIO Platform designs the cognitive architecture of AI agents. Demos are available via video call or in-person.

Research & Papers

AGEIUM's technology is built on academic foundations

Materials Science2026

Causal Symbolic Regression for All-Solid-State Battery Materials

We present a framework applying causal symbolic regression to ASSB material candidate search, reducing the search space by 97% versus DFT and achieving ionic conductivity prediction error below 0.03 eV.

Read Paper

AI Architecture2026

DIO Framework: Constitutional AI Cognitive Architecture

We propose an AI cognitive architecture combining a Big Five personality matrix with causal reasoning gates. DIO v5.0 achieves 95%+ agent consistency through a 16-layer sovereign pipeline.

Read Paper

Causal Inference2026

BiCE-7: Bayesian Interventional Causal Estimator

We introduce BiCE-7, integrating counterfactual reasoning with Bayesian causal graphs. It achieves precision@5=1.0 for intervention effect estimation with 41% variance reduction versus SOTA.

Read Paper

Patent Automation2026

Separation of Generation and Validation: An 8-Phase Pipeline for Automated Patent Specification

An 8-phase pipeline separating LLM text generation from deterministic code validation. 46 quality gates achieve zero hallucination leakage. 32,636 LOC Rust, KIPO filing accepted.

Read Paper

Core Technologies

6 algorithmic frameworks powering DIO

BiCE

Bayesian Interventional Causal Estimator

ARCP

Adjoint Reverse Causal Propagation

DRF

Dynamic Relation Framework

PSIF

Persona-Sovereign Injection Framework

Pearl do-calculus

Interventional Distribution Calculus

HBM5

Hyperbolic Geometry Memory System

268+

Rust Crates

416K+

Lines of Code

9.1K+

Test Cases

Tech Layers

Research with us

Explore the frontier of AI cognitive architecture with AGEIUM's research team.