prognostic.ai

The intelligent AI substrate for live agents

Agents are only as capable as their predictive intelligence. Prognostic.ai enables AI agents to predict, simulate, and act autonomously—internal or external triggers spark the predictive cycle that finds optimal paths forward.

Trigger & Prediction Engine

A continuously updated predictive system that detects internal or external triggers and generates testable hypotheses from data patterns, objectives, and constraints. It operates autonomously, formulating intelligent predictions in milliseconds.

Simulation & Revision

Agents autonomously design and run counterfactual simulations, generating evidence to validate predictions and revise strategies before action. They test scenarios independently without human guidance.

Counterfactual Simulation

Monte‑Carlo rollouts and causal models answer: “If we do X now, how does it shift outcomes?” This produces robust decisions under uncertainty.

Path Execution

When optimal paths are found, agents execute automated actions, manage workflows, and operate systems autonomously based on predictive intelligence—making decisions and taking action based on intelligent path finding.

Enterprise architecture

The Intelligent AI Decision‑Making Engine

The engine combines trigger detection, outcome prediction, autonomous simulation, continuous revision, and automated execution with full observability. It operates as an intelligent autonomous loop—trigger, predict, simulate, revise, predict, simulate, find optimal path, execute—adapting as signals change with predictive intelligence.

  • Connectors for internal systems and data warehouses (see use cases)
  • Policy layer for regional rules, organizational constraints, approvals
  • Evaluator library for risk limits and preference alignment learn more
  • Evidence chains for audit and explainability

How it powers agents

  1. Detects internal or external triggers and predicts outcomes
  2. Runs autonomous simulations to validate predictions and strategies
  3. Continuously revises and optimizes decision frameworks through predictive refinement
  4. Explains “why this next” with transparent evidence

Why it matters

  1. Higher win rates and lower costs vs. human-dependent agents
  2. Intelligent autonomous control loops with intelligent decision-making
  3. Easy policy enforcement across teams and markets
  4. Pluggable to frontier and local models