Hello EO Community,

We are the team behind Maku. We are building a compliance‑first, high‑trust digital ecosystem to address the critical shortage of verified elderly care in hyper‑aged societies—starting with South Korea.

1. The Looming Macro Crisis

South Korea is undergoing an unprecedented demographic shift: it is now officially a super‑aged society where roughly 1 in 5 people are over 65, paired with the world’s lowest fertility rate at 0.72. Over the coming decades, the caregiver‑to‑senior ratio is projected to tighten sharply, creating systemic gaps in basic support for older adults.

However, the immediate bottleneck for South Korean families is not just finding any caregiver; it is establishing absolute trust. Most legacy matchmaking platforms operate on a generic, speed‑first gig‑economy model. Traditional matching often leads to unintended clinical mismatches or scheduling inconsistencies, creating unnecessary stress for families.

2. The Solution: Multi‑Layered Vetting & Hard Guardrails

Maku replaces blind trust with a data‑driven, auditable pipeline built on three proprietary structural pillars:

1) Anti‑Cheating Psychometric Vetting A dynamic assessment engine that randomizes and shuffles behavioral reactives from an expert‑curated item bank. This ensures data integrity and high response consistency, highlighting alignment with care standards before a caregiver ever enters a home.

2) Objective Patient Baselines (Katz / Lawton) We digitize standard clinical metrics—such as the Katz ADL and Lawton IADL scales—into an unambiguous checklist. This allows us to match a senior’s exact dependency level with caregivers who have the appropriate skills and risk profile, instead of relying on vague self‑descriptions by families.

3) 3‑Tier Risk Guardrails & HITL Caregivers are segmented into three distinct tiers, from Tier 1 Companion Care (e.g., students providing social support) up to Tier 3 Specialized Clinical Care for registered nurses. Secure backend logic completely locks lower‑tier caregivers from accepting high‑risk clinical tasks. Crucially, we enforce a Human‑in‑the‑Loop (HITL) operational workflow: AI filters and prioritizes data, but human operators execute final onboarding, interviews, and background checks.

3. Native Regulatory Moat & Market Potential

The South Korean senior home‑ and long‑term‑care market represents a $30+ billion opportunity over the next decade. But it is also governed by some of the strictest data‑privacy regulations in the world under the Personal Information Protection Act (PIPA), especially for sensitive health‑related data and cross‑border transfers.

Instead of deploying generic global models, Maku’s architecture is deliberately model‑agnostic. We are designing our stack to leverage sovereign, local LLMs (such as Upstage’s Solar), ensuring that sensitive data can remain within South Korean jurisdiction and comply with PIPA from day one. This creates a deep regulatory and security moat for any foreign competitor trying to treat Korea as just another “regional” market.

Beyond the consumer marketplace, our long‑term monetization includes a B2B SaaS pipeline that enables traditional, fragmented local care agencies to license our vetting infrastructure. The goal is to help them safeguard their own staff quality, reduce liability, and modernize without rebuilding complex systems from scratch.

💡 What We Want to Validate with the EO Community

We have built a functional MVP and launched our Korean preview and early‑access waitlist. Before we initiate local entity operations and pilot rollouts, we are looking for sharp, reality‑checked feedback from operators, investors, and founders connected to the Korean ecosystem:

Agency Partnerships: For those familiar with local regulations and care‑agency dynamics, do you see traditional providers adopting a B2B SaaS vetting layer, or do you anticipate strong resistance to external software integration?

The Investor View: From a venture perspective, is a model‑agnostic, compliance‑first AgeTech platform a compelling angle for local early‑stage funding, or is the market too fragmented due to government‑subsidized micro‑agencies?

Cross‑Border Scaling: Does the strategy of perfecting an AgeTech product in the world’s most hyper‑aged market (Korea) and then exporting that playbook to aging populations in North America and Latin America align with what you see in current global expansion trends out of Seoul?

Our name comes from the ancient Nahuatl word Tlamacuitlahuia—“to take care of someone.” We are rebuilding the oldest language of care for the fastest‑aging society on Earth.

You can review our current infrastructure concept and join our strategic early‑access list here: 👉 maku.mx/ko/

We are eager to read your feedback, strategic advice, and counter‑arguments in the comments below.

Thank you!