Real-time risk intelligence to keep your cross-border fuel assets operational
Struggling Brazilian energy firm Raizen forced to divest major Argentine refinery and hundreds of petrol stations due to unsustainable operations.
VigilFuel gives Brazilian and Latin American fuel operators a unified dashboard to track political, regulatory, and economic risks across refineries and petrol stations in unstable markets. It delivers proprietary sustainability scores and concrete mitigation playbooks so operators can fix issues early instead of being forced to divest like Raizen.
Brazilian and Latin American fuel refining/retail operators with cross-border assets in unstable economies
The only risk platform built exclusively for LatAm fuel refining and retail, using localized regulatory feeds and historical divestment cases that generic tools completely miss.
professional
Real-time overview of all cross-border assets with color-coded risk scores and key metrics
Configurable email, WhatsApp, and in-app alerts when risk thresholds are breached
Central registry to track refineries, stations, pipelines with operational and financial data
Live database of LatAm fuel regulations per country with change alerts and checklists
AI models forecasting 3/6/12-month sustainability risk using energy-specific indicators
Tailored, step-by-step mitigation advice based on asset type and country
Model impact of currency devaluation, election outcomes, or subsidy changes
Compare your asset risk and performance against anonymized industry peers
Automated PDF reports for boards, regulators, and investors
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| company_name | text | No |
| country | text | No |
| created_at | timestamp | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| name | text | No |
| country | text | No |
| type | text | No |
| capacity | int | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| asset_id | uuid | No |
| score | int | No |
| factors | jsonb | No |
| forecast_3m | int | Yes |
| calculated_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| asset_id | uuid | Yes |
| message | text | No |
| severity | text | No |
| is_read | bool | No |
| created_at | timestamp | No |
Relationships:
/api/assetsRetrieve all user assets with latest risk scores
/api/assetsRegister new cross-border asset
/api/risks/calculateTrigger fresh risk assessment for an asset
/api/alertsFetch unread alerts for current user
/api/reports/generateGenerate compliance or board report
3 assets max
None
None
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 140 | 11% | $539 | $6,468 |
| Month 6 | 920 | 17% | $5,474 | $65,688 |
Real-time risk intelligence purpose-built for Brazilian and LatAm fuel operators with assets in volatile economies.
1. Post targeted LinkedIn content in Brazilian energy groups offering free 30-day pilots to operators with Argentine, Bolivian or Venezuelan assets. 2. Attend or sponsor virtual sessions at ABESPETRO and other LatAm energy associations to demo the tool live. 3. Partner with 2-3 energy-focused consultants in Brazil who advise on cross-border M&A and offer co-branded pilots.
Massive global economic dataset
Generic, no fuel-specific models, no LatAm regulatory depth, prohibitively expensive for mid-size operators
Built exclusively for LatAm fuel industry at 1/20th the cost with actionable playbooks
Strong insurance risk modeling
Not real-time, not operator-facing, no focus on fuel retail sustainability
Daily operator dashboard instead of quarterly reports
Proprietary dataset of 15+ years of LatAm fuel divestment outcomes that continuously improves the AI models as more operators contribute anonymized data. High switching costs once assets and risk history are loaded.
Recent high-profile cases like Raizen's forced Argentine exit have made the pain acute. Simultaneous improvements in affordable economic APIs, open regulatory data, and lightweight AI now make a focused $35/mo tool commercially viable.
Conservative energy executives slow to adopt new SaaS
Heavy emphasis on free pilots, Portuguese/Spanish support, and industry association endorsements
Risk predictions prove inaccurate
Multiple data sources, transparent methodology, manual override capability, and continuous model retraining
Solo dev cannot maintain regulatory database
Start with top 5 countries only and use community + automated scraping with human review
Success: At least 12 confirm acute pain and intent to pay $35+/mo
Success: ≥6 users logging in weekly and reporting they would renew
Success: ≥40 signups in first 7 days with ≥4 conversions to paid
Success: Reach 150 total users and $2k MRR
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