Who bears the cost?
Explore how a proposed rule could shift operating costs across businesses, suppliers and consumers.
MULTI-AGENT SIMULATION SOFTWARE
Test policy before
it meets the
real world.
PoliNova is building Policy Impact Sandbox, a multi-agent SaaS platform for teams that design policies, standards and business rules. Test different approaches and explore potential costs and supply-chain effects before implementation.
Configurable scenarios / Repeatable experiments / Subscription access
VIRTUAL MARKET / SCENARIO 001CONCEPT VIEW
MODELED RESPONSE
One policy change. Many different incentives.
Configurable actorsAdaptive interactionsInspectable outcomes
DESIGNED FOR TEAMS
SHAPING NEW RULES
WHO WE ARE
Software for better-informed
policy decisions.
PoliNova is a software startup developing AI simulation tools. We bring policy design, virtual market participants and impact analysis into a subscription workspace—helping teams explore the consequences of new rules before rollout.
THE QUESTIONS WE HELP YOU EXPLORE
A new rule can affect every participant differently.Where could bottlenecks emerge?
Investigate how participants' responses could affect supplier capacity, adoption and connected supply chains.
Which rollout works better?
Compare alternative requirements and transition periods to understand the trade-offs before committing to a plan.
01 / WHAT WE ARE BUILDING
Your workspace for
policy experiments.
Policy Impact Sandbox is designed to bring configurable rules, multi-agent simulation and scenario comparison into one SaaS platform. Explore an example below: one environmental standard, two rollout strategies.
12-MONTH SCENARIO COMPARISON
INDEX · BASELINE = 100Operating cost over time
BaselineImmediate adoptionPhased introduction
Immediate adoption—Month 12 cost index
Phased introduction—Month 12 cost index
Rollout difference—Illustrative index points
Virtual market composition
600 actors- Small businesses180
- Consumers240
- Suppliers120
- Manufacturers60
Signals to investigate
Uneven adjustment pressure
Compare how a faster rollout may concentrate early costs among smaller firms.Illustrative prompt for analysis
Scenario preview: +10% standard · 6-month rollout · 600 actors.
Inside the platform architecture
The platform is designed to combine configurable policy rules, economic assumptions and LLM-driven agents. Different actor profiles bring distinct goals, resources and constraints into a shared simulation environment.
Scenario comparison connects policy inputs, agent interactions and outcome charts in a repeatable software workflow.
02 / FROM POLICY TO SIMULATION
A virtual economy
you can interrogate.
Define the assumptions, configure the participants and explore how their interactions could reshape outcomes.
- 01
Define
the policySet the proposed rule, affected groups, implementation timeline and operational constraints.
Policy logic + scenario parameters - 02
Configure
the populationAssign virtual actors different resources, objectives and constraints—from small firms to consumers.
Actor profiles + economic assumptions - 03
Simulate
the interactionsModel how agents adapt, negotiate and respond to each other across a defined time horizon.
Multi-agent interaction + reflection - 04
Compare
the consequencesExplore outcome distributions, emerging risks and sensitivity to policy and model assumptions.
Scenario charts + decision evidence
03 / THE SIMULATION ARCHITECTURE
Different actors.
Competing incentives.
Connected outcomes.
A platform designed to combine language-model agents with explicit policy rules and economic models. Inspect the reasoning behind agent decisions and the effects that emerge across the network.
Explore a pilot use casePOLICY & MODEL LAYER
Make the assumptions explicit.
Policy logic, economic relationships, constraints and versioned scenario inputs.
MULTI-AGENT SANDBOX
Let the virtual market respond.
Heterogeneous actor profiles, iterative interaction and language-model reflection.
OBSERVATION & COMPARISON
Understand what changed—and why.
Outcome charts, agent behavior traces, risk patterns and assumption sensitivity.
04 / WHO IT'S FOR
For the teams
shaping new rules.
Designed for organizations that need to understand how a proposed rule could affect their operations, their industry or the communities they serve.
Enterprise & supply-chain teams
Test procurement requirements, supplier standards and internal operating rules. Explore potential effects on supplier capacity, operating costs and production networks.
Industry & standards organizations
Compare proposed technical or environmental standards and transition periods. Examine how businesses with different resources could respond.
City & public-sector teams
Explore environmental requirements and urban service policies. Examine potential trade-offs across households, local businesses and infrastructure providers.
SUBSCRIPTION SOFTWARE FOR POLICY TEAMS
Bring your next
policy question.
We are developing Policy Impact Sandbox for ongoing scenario testing through a software subscription. Request early access to explore how the platform could support your team's decisions.