A* Pathfinding Breaks at Scale.
This Replaces It.

A* was never designed for real-time, multi-agent systems. It works — until it doesn't. StrataNav replaces per-agent pathfinding with field-based navigation infrastructure.

The Core Problem

Traditional pathfinding works like this: for each agent, compute a path. When the goal changes, compute again. When the environment changes, compute again. At 10 agents, this is fine. At 100, it stalls. At 1000, it becomes the bottleneck.

MetricA*StrataNav
100-agent game tick111.7ms7.06ms
Replanning costFull re-search per agentNear-zero (field lookup)
Multi-agent handlingPer-agent collision avoidanceCoordinated field movement
Frame budget impactHigh (runs in-engine)Zero (runs server-side)
Goal change costRecompute from scratchInstant query update
Engine dependencyTightly coupledHTTP JSON — any engine

The Architectural Difference

A* — Computation Model

Pathfinding is per agent, recomputed every time goals or environments change. Cost scales linearly (or worse) with agent count. Runs inside the game engine, consuming frame budget.

each agent:
  compute path     → expensive
  goal changes     → recompute
  obstacle moves   → recompute
  repeat every tick

StrataNav — Infrastructure Model

Navigation is precomputed as a persistent field. All agents query the same structure. Goal changes require no recomputation. Runs server-side — zero frame budget consumed.

precompute field  → once
agent 1: query    → microseconds
agent 2: query    → microseconds
agent N: query    → microseconds
goal changes      → just query again

Why A* Fails at Scale

A* is optimal for single-agent, static-environment pathfinding. It was designed in 1968 for exactly that use case. Modern games violate every assumption A* makes:

Hundreds of agents — each running independent graph searches.

Constant goal changes — every change triggers full recomputation.

Dynamic environments — obstacle movement invalidates cached paths.

The industry accepted this as a constraint to design around. StrataNav removes it.

When You Should Move Beyond A*

If you are doing any of the following, you are already at the limit:

→ Optimizing A* heuristics to squeeze out milliseconds
→ Batching A* queries to reduce per-frame cost
→ Capping agent count to stay within frame budget
→ Spending engineering time on pathfinding instead of gameplay

These are symptoms of an architectural limitation, not an algorithm problem. The fix is not better A* — it is replacing A* with infrastructure.

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