Introducing　transformation-induced　plasticity　(TRIP)　effect　into　bulk　metallic　glass　composites　(BMGCs)　is　an　effective　route　to　improve　their　ductility　and　strain-hardening　ability.　Since　the　morphology　and　structure　of　the　crystalline　austenite　phases　responsible　for　the　TRIP　phenomenon　are　strongly　dependent　on　the　alloy　composition　and　cooling　rate　during　freezing,　distinguishing　the　optimal　cases　from　a　vast　variety　of　candidates　is　the　primary　task　of　exploring　TRIP　BMGCs.　However,　without　a　suitable　theoretical　guidance,　the　exploration　of　BMGCs　is　usually　performed　via　the　traditional　trial-and-error　route,　making　the　BMGC　development　extremely　time　consuming　and　labor　intensive.　Here,　we　present　a　novel　high-throughput　strategy　to　accelerate　the　exploration　process　of　TRIP　BMGCs.　The　efficiency　of　this　strategy　was　demonstrated　on　a　well-studied　Cu-Zr-Al　alloy　system.　A　screening　library,　comprised　by　121　cylindrical　samples　with　different　conditions,　was　rapidly　prepared　by　laser　additive　manufacturing　(LAM).　The　phases　of　the　library　were　efficiently　identified　by　micro-area　X-ray　diffraction　(M-XRD)　to　screen　the　optimal　compositions　and　cooling　rates　that　precipitate　only　B2-CuZr　phase.　The　distribution　uniformity　of　the　B2-CuZr　phase　was　further　evaluated　based　on　digital　image　processing　technology　to　screen　the　candidates　of　better　ductility.　The　high-throughput　results　are　in　good　agreement　with　the　previous　casting　investigations　of　discrete　samples,　confirming　the　validity　of　the　present　high-throughput　strategy.　©　2020