We believe the future can be computed
Foretide was born from a simple question: what if you could test your decisions in a simulation before making them in the real world?
"To build the foundation model of human behavior and make predictive intelligence accessible to every decision-maker."
Why we built Foretide
The world's most important decisions — in business, policy, and strategy — are still made with incomplete models and linear assumptions. But reality is nonlinear. People don't behave like spreadsheet rows. Markets don't follow trend lines. The future emerges from the interaction of thousands of actors with competing goals, imperfect information, and unpredictable biases.
We set out to build a tool that captures this complexity. By combining temporal knowledge graphs, autonomous AI agents, and swarm intelligence, Foretide simulates the emergent patterns that traditional tools can't see — the patterns that only appear when everything interacts.
What powers the predictions
Temporal knowledge graphs
Your documents become a living graph of entities, relationships, and facts — with built-in awareness of when things change.
Multi-agent simulation engine
Hundreds of AI agents with unique personalities, goals, and biases interact across rounds in configurable environments. Built on the OASIS simulation framework.
ReACT reasoning architecture
The report agent reasons through simulation data in multiple rounds — reflecting on its own findings, cross-referencing the knowledge graph, and interviewing agents before writing.
Purpose-built AI engine
Foretide uses an AI engine designed specifically for multi-agent simulation and predictive reasoning. The intelligence layer is fully managed — you focus on the questions, we handle the technology.
Made by the Maistik team
Foretide is built by Maistik — a studio of simulation engineers, AI researchers, and strategic thinkers. We believe the gap between analysis and prediction is a technology problem, and we're building the tool to close it.