ALAYA · 戰術推演與多機協同平台

把有限性能,編組成有效戰力。

模擬對戰 × 戰術產生 × 戰術編組 × 多機協同

Assign roles from each platform's usable capabilities and constraints, then compare tactical formations, failure recovery and coordinated mission outcomes.

ZERO generates candidate tactics. BABYLON carries mission and supply-chain configurations. ALAYA compares, composes, simulates and coordinates them.

LIVE RESEARCH BUILDDeterministic replay
  1. 02:31

    UAV-03 reallocated after link loss.

    RECOVERED
  2. 03:08

    Reserve role preserved mission coverage.

    VERIFIED
  3. 04:12

    Minimum feasible fleet gate cleared.

    PASS
The public view demonstrates decision value. Mission policies, full logs and scenario controls stay inside the authorized system.
ALAYA network concept showing Taiwan connected to distributed UAV, UGV, USV and high-altitude relay nodes.
HETEROGENEOUS NETWORK CONCEPTOne tactical control layer coordinating distributed air, ground, sea and high-altitude assets.

CENTRAL LARGE AI ↔ EDGE AI · DECISION LENS

See the change. Let AI act in bounds. Review the complete trace.

HYBRID HANDOFF
CURRENT MISSION DECISION OWNERCENTRAL LARGE AI · MISSION AI
AI AUTO-DECIDES · HUMAN POST-MISSION REVIEW
CENTRAL LARGE AI ×1GLOBAL PICTURE · FIVE LEDGERS · CROSS-CELL REASSIGNMENT
EDGE AI · CELLSLOCAL SENSING · PATH REPAIR · LINK-LOSS CONTINUITY
UNIT / SQUADLOW-LATENCY EXECUTION · STATE + EXCEPTION RETURN
POST-MISSION REVIEWOUTCOMES · DISPUTES · MODEL IMPROVEMENT
CONTINUOUS RETURN: STATE · EXCEPTIONS · BURN · EVIDENCE
01

Central large AI

Turns the global picture into priorities, cross-cell assignments and five live ledgers: resources, time, risk, information quality and next-mission options.

02

Unit and cell Edge AI

Executes local sensing, smooth paths, link-loss continuity and safety envelopes at low latency, then reports state, exceptions and outcomes.

03

Accountable autonomy

Shows what changed, the selected action, the next 30 seconds, the cost and the evidence source while preserving the mission record for post-mission review.

EIGHT FLAGSHIP JOINT-OPERATION BRIEFS

Open all eight flagship briefs →
01 · SEARCH · VERIFY · CONTAINCENTRAL-LED

Multi-domain search, identification & containment

See fixed-wing search, multirotor cross-check, UGV route sealing and ground-force takeover as one coordinated mission.

Open command brief →
02 · HANDOVER · EDGE · MULTI-SITEHYBRID HANDOFF

Distributed persistent surveillance

See three sites hand over day/night sensing, survive WAN loss under local Edge control and reconcile mission ownership.

Open command brief →
03 · TRACK · PREDICT · INTERCEPTCENTRAL-LED

Layered critical-infrastructure defense

See fused sensing, mobile launch, four moving intercept screens, reserve re-tasking and layered ownership handoff.

Open command brief →
04 · ALTITUDE · MESH · MARITIME SUPPORTHYBRID HANDOFF

SKY MESH coastal altitude reserve

See tethered relay and energy nodes release selected glider cells, heal around a lost node and sustain maritime mission connectivity from altitude.

Open command brief →
05 · CENTRAL LARGE AI · THREE EDGE-AI CELLSEDGE-LED

Low-cost multi-UAV edge autonomy

See mission intent and bounds drive three three-aircraft cells that auto-plan roles, paths, links and reserve through disturbance, with exceptions preserved for review.

Open command brief →
06 · PROBABILITY · BOUNDED AUTO · AIR-GROUNDCENTRAL-LED

Coastal denial and air-ground shaping

See AI preserve multiple landing hypotheses, protected access and mobile reserve, then auto-select and coordinate an in-bounds engineering and UAV response.

Open command brief →
07 · DRIFT SEARCH · VERIFY · LIFE-RING HANDOFFHYBRID HANDOFF

Shipborne maritime search and rescue

See four shipborne aircraft search a drifting probability field, independently verify a person overboard and release Voyager I to tow a life ring for crew recovery.

Open command brief →
08 · COMPARE · SELECT · EXPLAIN · REVIEWCENTRAL-LED

Mission economics, causal AAR and governed learning

See AI compare three force packages across five ledgers, reconcile actual outcomes, reconstruct the causal record and submit contribution and learning drafts to named human review.

Open command brief →

THE PROBLEM

Vehicles are getting cheaper. Coordinating them intelligently remains expensive and risky.

Real-world testing alone cannot generate enough tactical experience.

SIMULATION → TACTICAL DISCOVERY → EVALUATION → EDGE DEPLOYMENT

Train thousands of missions before deploying a single vehicle.

01

Build scenario

Encode terrain, communications, assets, constraints and mission gates.

02

Run Red / Blue

Compare competing agents and strategies under matched conditions.

03

Evaluate

Measure outcomes, resource burden, recovery and retained options.

04

Discover patterns

Find recurring tactical structures across repeated missions.

05

Verify

Retest candidates on holdouts, safety gates and failure cases.

06

Move toward edge

Distill only bounded, suitable behavior for low-latency execution.

ONE TACTICAL CONTROL LAYER

Air · ground · sea · high altitude

Capability passports let ALAYA reason about what each current asset can do—not what its platform label implies.

UAVreach · search · relayUGVaccess · persistenceALAYAassign · recover · proveUSVmaritime persistenceSKY MESHaltitude · line of sight

ENVIRONMENTAL RELEVANCE

Tactical AI should train against Taiwan’s terrain, urban structure, communications constraints and operational realities.

Simulation fidelity comes from relevant assumptions—not from treating an overseas environment as universal.

RESEARCH INSIGHTS · NEW SCENARIO LAYER

Coverage should continue even when certainty does not.

Two connected studies turn temporary loss of visibility into an inspectable belief—and move the reserve with the uncertainty that remains.

01 · FLY-THROUGH HANDOFF

Keep Moving, Keep the Track

A second scout takes over only after dual sensor footprints overlap and its bank-limited turn and obstacle-clear route remain feasible. A hidden contact becomes a decaying synthetic belief, never a magic precise dot.

Read the insight →
02 · BELIEF-WEIGHTED RESERVE

The Center Is Not a Point

A dynamic staging marker follows residual uncertainty with hysteresis; an opt-in reference planner models the reserve floor. Unknown aircraft loss raises verification priority without pretending to prove a cause.

Read the insight →

PRIVATE LAB

The evidence is public. The laboratory is controlled.

Partners, researchers and qualified evaluators can request supervised access to the full simulator. Accounts are approved manually; requesting a demo does not create an account.