§ 04 · Institute
The Institute for Human Advancement
IHA runs workforce development for low-income New Yorkers, AI-native founder training across emerging markets, AI literacy programs, and field health programs in East Africa. Perpetual Core funds it — 10–15% of every revenue dollar, audited annually.
§ 01
AI-native founder training across emerging markets. Pilot cohort June 2026. The institute's flagship entrepreneur initiative.
Pilot cohort · 2026§ 02AI literacy and applied skills for non-technical operators. Healthcare and workforce curricula in production.
Online · cohort-based§ 03East Africa field programs. Kenya delegation launched April 2026. Production deployments under PEPFAR data sovereignty.
Nairobi · field-deployed§ 04Healthcare and community workforce development for low-income New Yorkers. DYCD-aligned. Direct service delivery — delivered through Uplift Communities, the operating arm.
New York · DYCD§ 02
Uplift Communities
Uplift Communities is the operating arm through which the Institute delivers its direct-service work — the community-college workforce track in New York, case-management infrastructure, the staff and intern teams who hold the field cadence together.
It's also where Perpetual Core's methodology gets stress-tested in production before it's installed for clients. The HIPAA, FERPA, and outcomes-reporting workflows the studio names as constraint credentials were built and run here first. The field work is the proof; Uplift is the field.
Operations are how the mission gets real. Uplift is how operations get done.
§ 03
Most companies that say “we give back” mean a 1% pledge, a foundation arm, or a one-time donation matched at year-end. Perpetual Core is built the other way around: the company exists to fund the Institute.
Every Perpetual Core arm contributes. Engagements at 10%. Sage at 15%. Every other product at 10% default. The studio, the fund, the products, the Engine — they are all upstream of the Institute. Not adjacent. Underneath.
This is the structural argument we're publishing as a standard. VC-backed companies struggle to clear it. JVs are blocked by their LPs. AI-native ventures built this way from day one don't face either constraint — and we hope more of them are.