Asheville, NC, July 29, 2026 –(PR.com)– Swa malytics today a ou ced that qua tum computi g ow ope ates i side the co e of its p edictive modeli g platfo m, exte di g f om data p epa atio i to the compa y’s swa m i tellige ce e gi e itself. The compa y has filed a p ovisio al pate t cove i g its qua tum-e abled p edictive modeli g methods (P ovisio al Applicatio No. 64/113,065).
The fi st qua tum capability, qua tum deco elatio , wo ks i the platfo m’s featu e e gi ee i g laye . It uses qua tum computi g to ge e ate a cova ia ce mat ix ac oss all i put va iables, ide tifyi g how each va iable elates to eve y othe simulta eously a d p oduci g ew composite p edictive compo e ts a ked by the va ia ce they explai . Those compo e ts pass i to Swa malytics’s p op ieta y Swa mAI platfo m as additio al i put featu es, givi g the model sig als that co ve tio al featu e e gi ee i g does ot each.
Swa malytics has ow take qua tum computi g a step fu the , movi g it out of data p epa atio a d i to the model itself. I side the Swa mAI e gi e, populatio s of p edictive age ts compete a d imp ove ac oss ge e atio s th ough a p ocess the compa y calls mu mu atio . Swa malytics has i t oduced a qua tum mu mu atio optio that uses a qua tum algo ithm to decide which t aits ca y i to the ext ge e atio of age ts, placi g qua tum computatio at the ce te of how the models lea athe tha o ly i the steps that p ecede them. The qua tum capability has bee validated i simulatio e vi o me ts.
“I te actio s betwee va iables a e whe e the eal sig al lives i complex datasets,” said Doug Newell, CEO of Swa malytics. “Co ve tio al methods fi d some of them. Qua tum computi g fi ds the o es co ve tio al methods miss. We have built that i to the platfo m, we have filed a pate t o it, a d it is u i g ow.”
Swa malytics has u its qua tum deco elatio o qua tum ha dwa e f om Io Q, a compa y buildi g some of the most adva ced qua tum compute s available today. As qubit capacity g ows ac oss the i dust y, the umbe of va iable i te actio s the system ca p ocess i a si gle u will g ow with it.
The qua tum t a sfo matio is p ese ved i side the t ai ed model, so qua tum-ge e ated featu es emai available fo sco i g a d deployme t without equi i g qua tum computatio at i fe e ce time.
“We we e wo ki g with AI a d p edictive modeli g lo g befo e most people had hea d the te ms,” Newell said. “Qua tum is the same sto y. The o ga izatio s that u de sta d it ea ly a d build fo it ow will be i a diffe e t positio whe the est of the ma ket catches up.”
Swa malytics is explo i g pilot e gageme ts with o ga izatio s that ma age la ge, complex datasets ac oss i su a ce, fi a cial se vices, eal estate, supe ma kets, a d logistics.
About Swa malyticsSwa malytics builds p edictive a alytics systems fo i stitutio al decisio -make s. Fou ded by Doug Newell, fo me VP of A alytics at Ame ica Exp ess a d co-fou de of seve compa ies, the fi m has se ved Fo tu e 500 clie ts ac oss fi a cial se vices, i su a ce, a d co sume ma kets fo mo e tha 30 yea s. Its p op ieta y Swa mAI platfo m uses swa m i tellige ce a chitectu e to ide tify sig al ac oss 16,000-plus va iables pe data poi t, at machi e scale.
