Maker's Yield & Cost
Investor Relations

The operating system for the modern workroom

Maker's Yield & Cost is building the operating system for small-batch manufacturing. We replace spreadsheets with an offline-first mobile capture and web intelligence platform.

Beta Active
Product Stage
SaaS
Revenue Model
On-device, in beta
AI Engine
The Opportunity
The opportunity

Why Maker's Yield & Cost. Why now.

01
The Problem

Spreadsheets are killing margins

Small-batch manufacturers rely on disconnected spreadsheets for costing, resulting in inaccurate margins, lost data, and inefficient workflows. Legacy enterprise software is designed for conglomerates, not the workshop floor.

02
The Solution

Mobile-first capture. Web-first planning.

A unified platform where floor workers capture yield data on mobile devices, and managers plan production runs on the web studio — one source of truth, no double entry.

03
Studio intelligence

AI grounded in your studio memory

Butler, our AI assistant, is in the beta on supported phones. It runs on the phone and reads your own product records, BOMs, and yield data. It is not in the web app.

Coqui Architecture Inspector
Platform Architecture
Platform architecture

AI grounded in your studio memory

Butler, our AI assistant, is in the beta on supported phones. It runs on the phone and reads your own product records, BOMs, and yield data. It is not in the web app.

Mobile capture
Offline-first mobile
Product memory
Unified data schema
Insight
Reports and insight engine
Web studio execution
Web command center
a
Mobile capture — on the floor
Barcode scanning, yield logging, and product creation. Offline-first.
b
Product memory — unified data layer
Every material, cost, and spec in one schema. SQLite to Firestore.
c
Web command center — at the desk
Tech packs, costing engine, 16 reports. Butler is not in the web app. It runs in the phone app.
Intellectual Property & Defensibility
Proprietary IP & Defensibility
Patent Pending — not a granted patent

Five Proprietary Pillars. Patent Pending — not a granted patent.

Maker's Yield & Cost is fortified by a comprehensive intellectual property strategy protecting proprietary nesting geometry, cryptographic asset provenance, parametric BOM costing, and sovereign offline sync.

01
Claim 1 · Nesting Geometry

Irregular Nesting & Flaw-Aware Yield Optimization

Continuous geometric nesting algorithm for non-uniform natural hides, accounting for directional stretch, grade zones, and flaw exclusions in real time.

StatusPatent Pending — not a granted patent
02
Claim 2 · Cryptographic Provenance

Smart IP Shield™ & Cryptographic Provenance

Tamper-evident Merkle tree record of selected product data, with C2PA-aligned provenance metadata. Timestamp requests are recorded by MYC and are not independent.

StatusPatent Pending — not a granted patent
03
Claim 3 · CAD/CAM Telemetry

Bi-Directional Parametric Anatomy & BOM Engine

Dynamic bi-directional linkage synchronizing pattern piece deconstruction and construction assembly with real-time shop-floor costing telemetry.

StatusPatent Pending — not a granted patent
04
Claim 4 · Zero-Knowledge Sync

Local-First Sovereign Studio Persistence

Offline-first SQLite architecture executing all mathematical costing and yield calculations locally on the device before secured cloud synchronization.

StatusPatent Pending — not a granted patent
05
Claim 5 · Constraint Solver

Domain-Specific AI Craft Intelligence

Context-aware leathercraft and footwear engineering intelligence analyzing pattern BOMs, material consumption, component anatomy, and FOB cost build-ups.

StatusPatent Pending — not a granted patent
Traction & Market
Market & validation

A real opportunity. Real signal.

Market segment
Underserved

Small-batch cut-and-sew and footwear workrooms lack purpose-built manufacturing software globally.

Product stage
Beta

Active beta with real workrooms testing offline capture and yield math.

Revenue model
SaaS

Student to Studio Pro to Faculty & Enterprise tiers. Recurring subscription revenue aligned with maker scale.

The Team
Team

Founder-led engineering

Led by a founder with deep expertise in both software engineering and the physical craft of small-batch manufacturing. Future team expansion planned across engineering, sales, and operations.

a
Engineering
AI systems, mobile, core architecture
b
Domain expertise
Cut-and-sew, footwear workroom operations
c
Planned hires
Sales, operations, enterprise integrations
Roadmap
Roadmap & Milestones

Execution timeline

Phase 1 — Core

v1 feature set complete: costing, tech packs, barcode scanning, 16 reports. Butler, our AI assistant, runs on supported phones in the beta.

Phase 2 — Growth

Beta users onboarded across campuses. Mobile + web surface stabilized.

3
Phase 3 — Expand

Enterprise integrations (QuickBooks, ERP hooks). Ontology and supplier intelligence layer.

4
Phase 4 — Scale

Parametric intelligence engine. Cross-platform AI simulations. Full team build-out.

Access controlled

Request access to our data room

Proprietary financial models, detailed valuation metrics, and legal documentation are available to qualified investors upon request.

Pitch deck
Executive summary
Technical brief
Data room
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The information presented here is for general informational purposes only and does not constitute an offer to sell or a solicitation of an offer to buy any securities. All figures and forward-looking statements are subject to change without notice.