Run validated ensemble simulations for bulletproof climate scenarios.
Enterprise sustainability teams are frustrated by inaccurate AI-driven climate prediction models that fail to enable precise scenario planning.
SustainSim combines multiple AI models into ensembles validated against real-world benchmarks. Sustainability teams simulate scenarios like net-zero paths with confidence intervals. Get peer-reviewed accuracy guarantees for board-level decisions.
Sustainability teams in enterprises using AI enterprise tools
Ensemble validation with third-party benchmarks, reducing single-model errors by 40%.
professional
Blend 5+ AI models for robust predictions.
Auto-compare against IPCC/historical data for accuracy scores.
Drag-drop variables to test scenarios in real-time.
Visual ranges and sensitivity analysis for predictions.
Pre-built templates for common enterprise scenarios.
Upload your validation datasets.
Track and revert scenario changes.
Push sim results to BI tools.
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| id | uuid | No |
| text | No | |
| organization_id | uuid | No |
Relationships:
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| id | uuid | No |
| name | text | No |
| stripe_id | text | Yes |
| Column | Type | Nullable |
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| id | uuid | No |
| organization_id | uuid | No |
| name | text | No |
| validation_score | float | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| simulation_id | uuid | No |
| variables | jsonb | No |
| results | jsonb | Yes |
Relationships:
/api/simulationsRun new ensemble simulation
/api/simulations/:idFetch simulation details
/api/scenariosUpdate scenario variables
No custom vars
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 40 | 5% | $30 | $360 |
| Month 6 | 250 | 10% | $375 | $4,500 |
Ensemble AI beats single models – plan scenarios with proven accuracy.
Post in LinkedIn groups like 'Enterprise Sustainability' with demo video. Offer free Enterprise trial to 20 leads from Gartner sustainability reports. Convert via case study walkthrough.
Carbon mgmt
Limited scenario sim
Focused, affordable ensembles
Benchmark data moat from user validations.
Post-COP29 push for verifiable AI in sustainability reporting.
Compute costs for ensembles
Caching + tier limits
Success: Pain validation + 2 pre-signups
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