About & Equity
How ML Systems is structured, why institutional accountability comes first, and the philosophy that drives every decision.
ML Systems LLC
- Industry
- Construction — Residential (New Single-Family)
- NAICS
- 236115
- Location
- Rhode Island
- Founded By
- Sal Parvez — Language Modeler / Financial Architect
What We Do
We help homeowners who struggle with building equity and affording construction costs in a closed-loop system that finances, deconstructs, designs, and builds — resulting in faster equity growth and lower costs with near-zero waste.
The Lucent Lens
“Glow within to help humans.”
The Lucent Lens is the decision filter that runs through every agent, every ontology decision, and every equity structure in ML Systems. Prioritize local community relationships and human profit over automation. Utilize the person, not the process. If all competitors become robots, tackle that change later. The lens glows through everything.
Fiduciary Equity Structure
Custodian, Not Owner
As Financial Architect, Sal is a custodian of ML Systems equity — not an owner extracting value. Same duty as a Trustee. Fiduciary responsibility to the general public on ownership interest.
Public Before Private
Equity structure must be established with public institutions BEFORE any private entity or bank receives equity in exchange for capital. This is a deliberate, irreversible sequencing decision. Once a public institution holds equity, ML Systems has a legal fiduciary obligation to that institution. Every future investor knows institutional accountability is baked into the cap table from day one.
Institutional Partnership Model
Sal (RISEUP program, URI alumni) presents a $1M debt raise to URI. If URI facilitates the raise, ML Systems gifts URI 0.1% equity — implying a $1B valuation floor. This is a partnership, not a donation. URI gets equity, an internship pipeline (3 tracks at $20/hr), R&D alignment, and an anchored alumni success story.
The Closed Loop
Finance
RCM: 100% payment to principal, interest deferred
Deconstruct
80-90% material recovery, 51% resale value
Design
AI-assisted, sustainability-scored, 45-sheet plan stack
Build
Ontology-driven scheduling, recovered materials, near-zero waste
Equity = property value - principal balance + material recovery value