Pacific Platform · Astrognosy AI

Compass
Route Smarter. Pay Less.

Every query is scored for confidence against a growing corpus. High-confidence queries resolve on CPU. Everything else routes to GPU. The corpus builds itself — your cost floor drops automatically over time.

$0.0003

CPU path/query

$0.01

GPU path/query

<2ms

Routing decision

33×

Cost ratio

Input

Query

→

Coverage

PCF Engine

→

confidence ≥ 0.70 · serve

CPU · $0.0003

confidence < 0.70 · infer

GPU · $0.01

How It Works

Step 1

Confidence Scoring

The query is scored against the current corpus. High score = the answer is already well-covered. Low score = the system isn't confident enough to answer alone.

Step 2

Route Decision

Confidence ≥ 0.70 → CPU path. Served locally in under 2ms at a fraction of GPU cost. Below threshold → routes to GPU for accurate inference.

Step 3

CPU Path

Answer served directly from the corpus. Deterministic, auditable, and cached — repeat queries cost nothing. No LLM call made.

Step 4

Corpus Grows

GPU responses feed back into the corpus automatically. The next similar query routes to CPU. Cost floor drops over time without any manual labeling.

Claim to Verify

Reference Documents (3)

Detects structural divergence between two passages — works best on texts with meaningfully different vocabulary and flow, not just different numbers in the same sentence structure.

Text A

Text B

CompassRoute Smarter. Pay Less.

Compass
Route Smarter. Pay Less.