Real-time botijão tracking to block PCC from the GLP market
ANP's proposal to let GLP distributors fill and sell competitors' botijões risks handing the market to criminal organizations like the PCC.
GLPSentry equips Brazilian distributors and ANP regulators with digital IDs, QR verification, and mobile scanning to authorize every fill and sale. It creates an immutable audit trail that prevents unauthorized competitor bottle filling from benefiting criminal networks. Regulators gain live dashboards showing market integrity while distributors simplify compliance.
Brazilian government regulators, major GLP distributors, and public security experts
ANP-ready audit system with AI trained specifically on PCC infiltration patterns in gas distribution
professional
Register and manage all botijões with unique digital IDs, ownership history and photos
Field app for instant legitimacy checks before any filling or transfer
Structured workflow to request, review and approve competitor bottle fills
AI flags rapid ownership changes, geographic anomalies and suspicious volumes
One-click compliant reports submitted directly to regulators
Real-time visibility into all activity across regions and distributors
Transaction and entity risk scores with explanations
Separate portals for distributors, regulators and security experts
Forensic-grade logs of every action with digital signatures
Connect with existing distributor management systems
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| name | text | No |
| cnpj | text | No |
| type | text | No |
| license_number | text | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| organization_id | uuid | No |
| text | No | |
| role | text | No |
| name | text | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| unique_code | text | No |
| current_owner_id | uuid | No |
| status | text | No |
| last_filled_at | timestamp | Yes |
| qr_hash | text | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| cylinder_id | uuid | No |
| from_org_id | uuid | Yes |
| to_org_id | uuid | No |
| action | text | No |
| risk_score | int | Yes |
| approved_by | uuid | Yes |
| notes | text | Yes |
| created_at | timestamp | No |
Relationships:
/api/cylinders/registerRegister new cylinder with owner and metadata
/api/verify/:codeReturn current status, owner and risk score
/api/filling-requestsSubmit and authorize competitor fill request
/api/reports/anpGenerate and submit regulatory report
/api/alertsFetch active risk alerts for user organization
1,000 cylinders
None
None
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 28 | 18% | $226 | $2,712 |
| Month 6 | 165 | 32% | $2,376 | $28,512 |
Instant verification and ANP-ready reporting so distributors and regulators can enforce safe filling rules before PCC gains control.
1. Use LinkedIn Sales Navigator to contact compliance leads at the top 15 GLP distributors in SP/RJ offering free 45-day pilots. 2. Present at Gas Energy Brazil and ABEGAS events with a live demo focused on the ANP proposal risks. 3. Partner with two respected public security consultancies specializing in PCC to gain warm introductions to regulators.
Established relationships with distributors
Legacy desktop software, no mobile verification or AI risk layer
Modern real-time mobile experience built specifically for the PCC threat vector
Strong logistics features
No regulatory reporting or criminal intelligence module
Deep ANP integration and purpose-built security intelligence
Proprietary training data from early pilot partners creates superior AI risk models. Regulatory certifications and deep integration with existing distributor ERP systems raise switching costs.
ANP's recent proposal has created an urgent compliance deadline while PCC activity in legitimate industries has spiked. Widespread smartphone adoption among field technicians now makes real-time mobile verification feasible at scale.
LGPD data privacy violation
Privacy-by-design architecture, third-party LGPD audit before launch
Slow government procurement cycles
Prioritize private distributor sales while regulators evaluate
False positives erode trust
Human-in-the-loop review for high-risk alerts during early pilots
Success: ≥75% indicate they would pay ≥$45/mo for the solution
Success: ≥2 pilots renew at paid tier and provide case study
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