GridFlow

Demand-Response Verification and Settlement Ledger

Executive Summary

GridFlow is a demand-response settlement ledger that verifies DR events, mints credits, and reconciles payments for Community Choice Aggregators (CCAs), Virtual Power Plant (VPP) operators, and deman Large, high-growth market with strong regulatory tailwinds.

Token Data Schema

What this token holds — every field is specific to GridFlow:

{
  "immutable": {
    "event_id": "uuid v4",
    "utility_id": "ISO operator code (CAISO|PJM|ERCOT)",
    "aggregator_id": "aggregator entity id",
    "site_ids": ["site_1", "site_2", ...],
    "event_start": "ISO 8601 timestamp",
    "event_end": "ISO 8601 timestamp",
    "baseline_consumption_kw": "float, pre-event average"
  },
  "mutable": {
    "event_status": "Active|Closed|Disputed",
    "reward_rate_usd_per_kwh": "float",
    "reduction_target_kw": "float",
    "actual_consumption_kw": "float, real-time",
    "verified_reduction_kw": "float, after audit"
  },
  "compliance": {
    "meter_data_hash": "SHA-256 of meter log",
    "anomaly_score": "0-100, fraud risk",
    "iso_audit_status": "Pending|Verified|Disputed",
    "iso_audit_log": ["check_1", "check_2", ...],
    "settlement_amount_usd": "float"
  }
}

User Journey

Step 1: Utility Operator (CAISO/PJM)

Deploys demand-response event; specifies energy reduction target and reward rate.

Token: event_id, reduction_target_kw, reward_rate_usd_per_kwh, event_window

Step 2: Aggregator (Stem/Sunrun)

Enrolls customer sites; broadcasts event details; calculates baseline consumption.

Token: site_ids[], baseline_consumption, aggregator_fee, event_status=Active

Step 3: Customer (Building/Factory)

Shifts load: reduces consumption during peak window; smart meter reports reduction real-time.

Token: actual_consumption, reduction_achieved_kw, performance_pct, meter_timestamp

Step 4: Meter Verification (ISO Auditor)

Validates consumption reduction against baseline; flags anomalies or gaming.

Token: verified_reduction_kw, anomaly_score, verification_status, audit_log_entry

Step 5: Settlement System

Calculates reward: verified_kw × reward_rate; distributes to aggregator and customer.

Token: reward_amount_usd, customer_share, aggregator_share, settlement_status=Paid

Token Lifecycle

State machine transitions:

Baseline SetBaseline SetEvent TriggeredEvent TriggeredVerifiedVerifiedCreditedCreditedSettled

Why Not Just a Database?

ApproachPortabilityMutable StateCross-OrgCompliance
Traditional Database Utility owns consumption data; customer cannot port Consumption edited post-hoc; gameable Single ISO; no inter-region settlement Manual audit; offline meter logs not integrated
Blockchain (Public) Fully transparent consumption data (privacy risk) Immutable consumption; but rewards still mutable Cross-region possible; too slow for real-time settlement No meter validation; on-chain governance too slow
SaaS Platform (Stem) Customer data in Stem silo; cannot switch aggregators Consumption and reward mutable; opaque calculations Single aggregator only Proprietary audit; ISO cannot independently verify
DUAL Token Customer owns consumption & reward token; aggregator-agnostic Mutable demand event + immutable consumption record ISO, aggregator, customer all see real-time settlement Meter data cryptographically verified; ISO audit-ready

Market Opportunity

TAM
$2.5B
SAM
$20B+
SOM
$500M

Demand-response verification and settlement ledger for one CCA or virtual power plant operator. Smart meters report reduced demand; DUAL tokens represent DR credits. Event Bus verifies against baseline; immutable audit satisfies FERC/state PUC verification.

Business Model & Unit Economics

  • SaaS Subscription: Monthly platform fee based on usage tier
  • Transaction Fee: Per-transaction commission on platform flow
  • Premium Support: White-glove integration and support services
Unit Economics

$0.50-$2.00 per transaction | Gross margin: 65-75% | CAC payback: 8-12 months

5-Year Projections

YearARRCustomersNotes
Y1 $150K 2-3 MVP launch, pilot customers
Y2 $2M 8-10 40% growth, expand to 2-3 regions
Y3 $10M 25+ Series A scaling, feature expansion
Y4 $25M 60+ Market expansion, strategic partnerships
Y5 $50M 120+ Market leader, IPO readiness

Competitive Positioning

CompetitorWeaknessDUAL Advantage
Traditional Database Single-vendor lock-in; no portability Owner-controlled tokens; portable across ecosystems
Blockchain (Public) No privacy controls; too transparent for business logic Permissioned transparency + mutable business state
SaaS Platform Vendor dependency; limited interoperability Standards-based; integrates with any system

Go-to-Market

Phase 1: Pilot with ISO (Months 1-4)

Deploy with CAISO or PJM; enroll 100 sites via 1-2 aggregators; validate meter integration & settlement accuracy.

Phase 2: Multi-Aggregator & Region Expansion (Months 5-12)

Onboard Stem, Sunrun, Fluence; expand to 500+ sites; launch ERCOT & ISO-NE pilots; establish settlement SLA.

Phase 3: National DR Market (Year 2+)

Become standard settlement layer for all US ISOs; 10,000+ enrolled sites; $50M+ annual demand-response rewards flowing through platform.

90-Day MVP

  • Real-time consumption data ingestion from smart meters (AMERA/OpenADR protocol)
  • Demand-response event orchestration engine (target allocation, verification rules)
  • Baseline consumption calculation with anomaly detection
  • Settlement calculation & distribution to aggregators and customers
  • ISO audit integration with cryptographic verification of meter data
  • Aggregator API for enrollment and customer attribution

Risk Factors

Regulatory Risk

Regulations continue to evolve; new compliance requirements may emerge requiring platform updates.

Mitigation: Build modular compliance framework; engage industry advisors; maintain active legal relationships

Market Adoption

Customers may be slow to adopt new tools or prefer legacy workflows.

Mitigation: Land-and-expand strategy; offer training and onboarding; demonstrate ROI through time savings

Platform Dependency

Reliance on third-party services for payment processing or data exchange; service disruptions impact flow.

Mitigation: Dual provider integration; fallback manual settlement procedures; redundant infrastructure

Competition

Larger fintech/industry platforms could enter market with superior brand recognition and resources.

Mitigation: Build stickiness through compliance integrations; establish strategic partnerships; network effects

VC Pack Documents

Get Started with AI

Prerequisites: Complete the DUAL Quick Start Guide to set up your environment and API keys before building this concept.

# GridFlow Token Deep-Dive

You are building the token system for GridFlow on DUAL Network.

## Context
- **Concept**: GridFlow
- **Alias**: Demand-Response Verification and Settlement Ledger
- **Category**: Refined Concept
- **Viability**: 9.7/10

## Your Task
1. Review the investment memo and financial model
2. Design the immutable→mutable→compliance token schema
3. Map the user journey (6 steps with NAMED actors)
4. For each step, list which token fields mutate
5. Identify the 4 database comparison trade-offs
6. Define state machine with business event triggers

## Output
Return complete JSON with all sections filled from memo data:
- token_schema (15+ fields, domain-specific)
- journey_steps (with real actor names)
- db_comparison (4 rows comparing approaches)
- competitors (3-4 with weaknesses)
- projections (Y1-Y5 ARR and customer count)
- risks (3-4 with category, detail, mitigation)

## Key Principles
- Token = mutable business logic + immutable compliance trail
- Every field must serve a purpose (no generic metadata)
- Multi-party transparency without breaking privacy
- Standards-based, portable across platforms

Start here.