AGENTS
SDK
Simulation integrated into your agents' decision cycle.
A simulation layer
between the agent and the action
The agent generates options. Piscis evaluates how they behave across different scenarios. The agent acts with context.
Evaluated action
Agents need context, not just a response
One execution is not enough
The same input can lead to multiple outcomes. Operating with a single response means ignoring system variability.
Consequences matter
Actions impact dynamic systems. An agent that doesn't anticipate this operates without relevant information.
The environment changes
Conditions are not static. An agent needs to evaluate under variability, not just the current state.
Integration in the agent loop
Generate actions
The agent proposes possible alternatives.
Simulate
Each action is evaluated across multiple scenarios.
Select
Prioritized by performance and variability.
From agents that execute to agents that evaluate
Piscis lets agents operate by considering consequences before acting.
Evaluation of consequences before executing
Across possible actions
Visibility into result variability
Selection of stronger actions
Agents that evaluate before acting
Financial agents
Evaluate impact before executing operations, considering multiple market scenarios.
Pricing agents
Simulate demand and competitor responses before adjusting prices.
Operational agents
Allocate resources considering variability in demand, failures and constraints.
Public policy
Agents that anticipate policy impact before implementation, evaluating effects across multiple social and economic scenarios.
Distribution chain
Optimize routes, inventory and supply by simulating disruptions, variable demand and bottlenecks.
Defense
Evaluate strategies and possible responses in dynamic environments, considering escalation, resources and adversary behavior.
Climate
Project environmental scenarios and anticipate extreme events under different conditions.
Agriculture
Optimize production decisions considering climate, soil, inputs and seasonal variability.
Security agents
Evaluate possible responses to threats and critical events before acting.
Designed to operate within agent systems
Integrate simulation into your agents
Let your agents evaluate before executing.