OMNISIM

Simulate any reality. Predict every outcome.

Drop any scenario in plain text. OMNISIM generates hundreds of cognitively distinct agents, runs a full swarm simulation, and returns the mathematically optimal outcome.

MULTI-AGENT SWARM·TEMPORAL GRAPHRAG·500 AGENTS·MATHEMATICAL OUTCOME FILTRATION·DOMAIN AGNOSTIC·MBTI COGNITIVE ARCHITECTURE·SWARM INTELLIGENCE·MULTI-AGENT SWARM·TEMPORAL GRAPHRAG·500 AGENTS·MATHEMATICAL OUTCOME FILTRATION·DOMAIN AGNOSTIC·MBTI COGNITIVE ARCHITECTURE·SWARM INTELLIGENCE·MULTI-AGENT SWARM·TEMPORAL GRAPHRAG·500 AGENTS·MATHEMATICAL OUTCOME FILTRATION·DOMAIN AGNOSTIC·MBTI COGNITIVE ARCHITECTURE·SWARM INTELLIGENCE·MULTI-AGENT SWARM·TEMPORAL GRAPHRAG·500 AGENTS·MATHEMATICAL OUTCOME FILTRATION·DOMAIN AGNOSTIC·MBTI COGNITIVE ARCHITECTURE·SWARM INTELLIGENCE·

What is Omnisim

The most precise simulation engine ever built on a laptop.

Auto-detects domain from any plain text input

Generates up to 500 cognitively distinct agents

Runs parallel swarm reasoning with belief propagation

Surfaces mathematically filtered outcomes ranked by probability

How it Works

01

Seed

Drop a plain text description of any real-world scenario

02

Extract

GraphRAG pipeline pulls entities, relationships, and domain dynamics

03

Simulate

500 heterogeneous agents reason, debate, and update beliefs in parallel

04

Filter

Mathematical outcome filtration surfaces the highest-confidence predictions

Capabilities

Heterogeneous Agents

500 agents with MBTI traits, life experiences, social networks, and behavioral logic rules

Temporal GraphRAG

Entity and relationship extraction from any free-text reality seed

Swarm Orchestration

Full mesh, clustered, and hierarchical topologies with dual-track reasoning

Outcome Filtration

Mathematical ranking by expected value and probability mass across all runs

Domain Agnostic

Biology, finance, politics, epidemiology — any field, auto-detected

Memory Layers

Individual sliding-window, group-cluster, and temporal memory systems

The Numbers

0

Agents per simulation

0+

Domain-specific social actions

0

Max belief update per round

Use Cases

Finance

Simulate how 500 traders react to a Fed rate hike

Biology

Model how a pathogen spreads through a population of 500 agents

Politics

Predict election outcomes based on voter belief propagation

Epidemiology

Forecast outbreak trajectories with heterogeneous compliance behaviors