Simulate Web3 policy impacts to safeguard enterprise blockchain deals
Enterprise Web3 teams waste months on legal reviews due to regulatory uncertainty, only for overnight policy shifts to kill deals.
Input your Web3 project parameters; PoliSim runs scenarios on current and proposed regs, predicting approval odds, costs, and mitigations. Teams share sim results with legal for proactive adjustments, avoiding deal-killers from sudden shifts. Dashboard tracks sim history and real-world validations.
Enterprise teams building or adopting Web3 and blockchain solutions
Scenario-based Monte Carlo simulations tuned for Web3 variables like volatility and cross-chain—beyond static checkers.
supportive
Build sims with project vars (tokens, users, jurisdictions) and policy sliders.
Run AI-powered sims outputting probabilities, costs, timelines.
Visual charts of sim outcomes and comparisons.
AI-recommended changes to improve odds.
Save/share/re-run simulations.
Re-run sims on new policy data.
Custom branded exports.
Compare to industry sims.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| name | text | Yes |
| created_at | timestamp | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| name | text | No |
| parameters | jsonb | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| project_id | uuid | No |
| scenario | jsonb | No |
| results | jsonb | No |
| approval_odds | int | No |
| created_at | timestamp | No |
Relationships:
/api/simulationsRun new simulation
/api/simulationsList sims
/api/projectsCreate project
/api/scenarios/:id/resultsFetch sim results
No exports
Unlimited
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 120 | 2.5% | $100 | $1,200 |
| Month 6 | 600 | 7% | $1,600 | $19,200 |
Run what-if sims on regs to secure deals with data-backed confidence.
Host Twitter Space on Web3 reg risks with 3 beta testers live; Target enterprise attendees at ETHDenver/Devcon via email; Free sims for top 10 Crunchbase Web3 cos with >50 employees.
Expertise
Manual, expensive
Self-serve AI sims at SaaS price
Contract sim
No reg/policy modeling
Web3 reg-specific simulations
User sim data refines models (anonymized), creating predictive accuracy flywheel.
Geopolitical shifts and 2025 reg deadlines demand foresight tools for Web3 scaling.
Inaccurate sim predictions
Validate against historical cases, transparent assumptions
Enterprise skepticism of AI sims
Case studies + free trials with real outcomes
High AI compute costs
Tiered usage, optimize prompts
Success: 6 would pilot
Success: >70% useful rating
Success: 300 signups, 4% conv
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