Narrative Hub
RegulateCPG is applied AI infrastructure that enforces regulated operational decisions across jurisdictions.
Confidential Strategy & Technical Verification Hub. All data confidential under NDA.
Section One: Vision & Platform Overview
Platform Overview
Establishing founder-market fit and the inevitability of infrastructure solutions.
Infrastructure Thesis
Why regulatory complexity creates a structural moat and Process Authority recognition.
Who Uses This and Why
RegulateCPG operates in three distinct wedges: Product Development & R&D (Speed to Market), Quality & Regulatory (Continuous Compliance), and Operations & Procurement (Single Source of Truth). This demonstration suite highlights these interfaces in action.
Workflow Causality
Before vs. After RegulateCPG
Traditional SME workflows are bottlenecked by fragmented judgment plus administrative overhead. Institutional knowledge loss is structurally prevented by collapsing processes into judgment-only execution.
Section Two: Product Demonstration Suite
Adding an Ingredient
AI ingredient classification, storage/certification extraction, and nutritional values auto-ingest from TDS docs.
Building a Recipe
Advanced composition, scaling, financial analysis, fact panels, and FDA/eCFR compliance verification.
NFP Output & Accuracy
Real-time Nutrition Facts preview, dynamic formatting, and AI-driven eCFR + rounding compliance checks.
Insight Suite: Consumer-Driven Recipe Development
Extract brand-specific consumer feedback, track live processing, and convert insights into optimized formulations.
Section Three: Intelligence & Governance
RAG Search Knowledge Base
Upload company documents, query in natural language, and generate cited reports with AI-powered retrieval.
Section Four: Deal Pipeline & Traction
Pipeline Visualization
Repeatability over opportunism. Channels (EcoLab) and Ecosystem exposure.
EcoLab Unit Economics
Scaling without a sales army. Channel leverage modeling.
Section Five: Financial Architecture
Business Plan & Projections
Three revenue layers: Historical, Current ARR, and Pipeline-weighted.
Scalability Adjacencies
Expansion as architectural reuse in Life Sciences, Pharma, and beyond.
Section Six: Strategic Anchors
Campbell's Scaling
Structural embedding in a $10B+ product portfolio. Economic proof.
The Founders
Restraint and execution focus. Strategy & Architecture.
Platform Overview
Anchor Asset: Founder Narrative & Regulatory Authority
RegulateCPG Platform Overview
RegulateCPG: The intelligent operating system for modern CPG brands.
RegulateCPG is an end-to-end, AI-driven Product Lifecycle Management (PLM) and compliance platform that bridges R&D, commercial strategy, and federal compliance. It transforms manual, siloed workflows into a single high-velocity system of record.
The Power of AI-Driven Compliance
Continuously verifies data against current federal standards.
Auto-extracts nutrition values and generates export-ready labels.
Validates PDCAAS, DV logic, and formula claims for scientific/legal soundness.
Key Modules & Features
| Module | Core Functionality |
|---|---|
| Ingredient & Recipe Mgmt | Centralized library with allergen tracking and multi-level categorization. |
| Nutritional & Supplement Facts | One-click generation for food and supplement formats with built-in rule logic. |
| Insight Suite | Scans market trends and sentiment for de-risked product ideation. |
| RAG Search | Natural language queries across proprietary documents and recipes. |
| Costing & Yield | Real-time cost cards with moisture loss, yields, and overages. |
| Sensory Analysis | Feedback loops that align lab iterations with consumer gold standards. |
Why RegulateCPG
RegulateCPG is not just a compliance tool. It is a growth engine that gives R&D more time to innovate and less time filling out forms.
Core Narrative Beats
- The fragmentation of compliance infrastructure.
- The indifferent regulator (The "SME Gap").
- The accelerating loss of institutional knowledge.
- Why RegulateCPG is not generic "AI in a Box".
Feature Highlights Carousel
Continuously validates product data against the most current federal guidance.
The Infrastructure Thesis
RegulateCPG is applied AI infrastructure that enforces regulated operational decisions across jurisdictions.
Regulatory complexity is not a hurdle to be cleared; it is a structural moat to be fortified. In the $4.5T global food industry, the trust layer has historically been human-dependent. RegulateCPG transitions that trust into an algorithmic infrastructure.
Pacific Foods Case Study
Deployed our vertical infrastructure to reduce compliance huddle cycles by 84%. Result: 28 months faster time-to-market on new formulations. Asset Value: $13M NPV improvement.
Why This Cannot Be Solved with Headcount
The "Silver Tsunami" of SME retirement is not a theoretical risk; it is a live operational failure. Manufacturing organizations are currently leaking institutional knowledge faster than they can replicate it via academic pipelines. RegulateCPG captures the "Shadow Records" of these operators and turns them into governed, searchable intelligence.
Institutional knowledge loss is structurally prevented by collapsing fragmented processes into judgment-only execution.
Adding a New Ingredient
Establishing a governed record from TDS and nutritional documents using built-in AI tools for classification, compliance metadata, and nutrition extraction.
System Output: AI Ingredient Ingestion
Building a Recipe
Our Recipe Module streamlines formulation from composition to final compliance, with built-in verification for net weight, serving size, and units before market release.
Recipe Module Capabilities
- Nested recipes for complex product composition
- Yield calculation with processing loss/gain adjustments
- Verification checks for net weight, serving size, and units
- Working BOM population with formulation scaling
- Live compliance status updates while editing
Regulatory Compliance Verification
Financial & Nutritional Analysis
| Module | Output | State |
|---|---|---|
| Cost Cards | COGS + Margin Breakdown | READY |
| Fact Panels | Nutrition + Supplement Facts | 1-CLICK |
| PDCAAS | Protein Quality Score | CALCULATED |
| Yield Engine | Final Weight/Volume | LOSS/GAIN ADJUSTED |
NFP Output & Accuracy
Dynamic, real-time Nutrition Facts Panel preview that updates as formulations change, so labels stay brand-ready and regulation-ready in the same workflow.
Instantly updates with formula and format changes
Comprehensive Data Export
- Nutrition Summary export for internal nutrient review
- Formulation Specs export for R&D to production handoff
AI-Driven Compliance & Precision
| Feature | Function |
|---|---|
| eCFR Alignment | Scans labels against active FDA/eCFR guidance and flags non-compliance. |
| Smart Rounding | Applies required rounding logic, including calorie rounding to nearest 5/10. |
RAG Model: Governance in Action
Structure vs. Ambiguity: "The system cannot produce a non-compliant output by design."
Multi-Format Data Ingestion
- Bulk upload support for files and entire folder structures
- Accepted formats: PDF, DOC/DOCX, TXT, CSV
AI-Powered Indexing
- Automatic parsing and chunking with embedding models
- Secure indexed storage for high-speed retrieval
Natural Language Querying
Automated Report Generation
Synthesize information across multiple uploaded documents into concise, meaningful reports for operations and compliance teams.
Source Attribution & Auditability
| Answer Segment | Citation Source |
|---|---|
| Shelf-life protocol summary | `Dairy_QA_Manual.pdf` p.14 |
| Temperature exception rule | `Cold_Chain_SOP.docx` p.3 |
| Validation reference | `ShelfLife_Limits.csv` row 27 |
Pipeline Visualization
Showcasing Repeatability & Channel Driven Scale
Financial Projections
Revenue Bridge: Historical, Platform, and Channel Scaling
Official launch of external subscriptions. Revenue bend observed within 72 hours of pricing deployment.
- Deployment Capacity Scaling
- Channel Execution (EcoLab)
- Platform Hardening
Founder salaries included at market rates. Growth reinvestment focus.
Path Forward: Series A success intent
Embedded in 3 key verticals via architectural reuse.
Throughput governed by system, not headcount.
Demonstrated capitalization on channel leverage.
Bottleneck Statement
"The limiting factor is deployment throughput."
EcoLab Unit Economics Calculator
Channel leverage vs. Linear Sales Headcount
"Scaling without a sales army — Channel harness leverage."
Direct Sales Comparison: -70% OpEx Harness
Insight Suite: Consumer-Driven Recipe Development
Use brand-specific consumer feedback to move from raw sentiment to a market-aligned formulation with measurable confidence.
Getting Started Workflow
- Initialize: Open Insight Suite from the Tool section and select Add Recipe.
- Categorize: Set Category and Sub-Categories (comma-separated) for precise benchmarking.
- Extract: Select target brand and product, then run the Data Extraction engine.
Live Processing Status
| Step | Status | Output |
|---|---|---|
| Brand Feedback Ingestion | Processing | Sentiment corpus building |
| Category Benchmarking | Processing | Peer baseline comparison |
| Pain Point Cluster Detection | Completed | Dashboard insights unlocked |
Data Processing & Analysis
When status transitions from Processing to Completed, the module unlocks a dashboard of graphs and visualizations for:
- Consumer pain point identification
- Preference signal ranking by category
- Brand-to-brand performance benchmarking
- Recipe optimization direction for next formulation
Consumer feedback is transformed into formulation actions inside the same workflow.
Scalability: Adjacent Industries
Architectural reuse over market sprawl. Mapping regulatory overlap.
Life Sciences
88% OverlapFDA 21 CFR Part 11 consistency. Validation acceleration for clinical formulations.
Cosmetics & OTC
94% OverlapMoCRA alignment. Ingredient safety substantiation and automated labeling.
Marketing Performance
Strategic Proof
Case Study: Campbell's Enterprise Scaling
1. Scope & Execution
Deployment across 4 core product families (Soup, Snacks, Beverage, Meals). Unified 14 disparate formulation databases into a single governed algorithmic infrastructure.
2. Lifecycle Coverage
Direct enforcement of regulatory constraints from raw ingredient procurement through final Nutrition Facts Panel (NFP) generation.
Vulnerability Mitigation
"The pressure test. Campbell's represents the most complex regulatory environment in the CPG sector. Our system enforced compliance across 40+ global jurisdictions during the 2024 reform cycle without a single SME manual override."
Execution Foundation: The Founders
Mark Haas, CEO
Ishan M. Subedi, Ph.D., CTO
Investment Conclusion
We have structural embedding, a validated channel wedge, and a proven enforcement engine. This round funds deployment throughput.
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