ZPTA - Earnings call transcript Q1 2024 | Zapata Computing Holdings Inc. Common Stock

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Operator

Good day, and welcome to Zapata Computing Holdings, Inc.

First Quarter 2024 Financial Results and Business Update Conference Call.

As a reminder, this conference is being recorded.

It is now my pleasure to introduce Eduardo Royes. Thank you.

begin. may You

Unknown Executive

today's and On Co-Founder; Christopher Chief Zapata Savoie, Jon Thank Yudong call Cao, Officer AI. of Officer Co-Founder; Chief and Chief Executive Zorio, you. Revenue are Technology and Officer

a issued results. AI Zapata today, press announcing quarter its release XXXX first Earlier

remarks, open up for the we will prepared call Following questions.

to I this you call may we begin, remind Before contain would like that forward-looking statements.

materially or and risks in actual forward-looking current to reflect any these These judgment, subject events AI's differ to SEC best results company's by are reflect cause of forward-looking they or today, filings which could AI's future the required as and those circumstances, Zapata available revise in website. statements Zapata that forward-looking While the risk these no by discussed update release Investors uncertainties implied factors with from to undertakes in are statements. law. section the statements the are AI except issued to obligation Zapata

to to With I'd of Christopher the Christopher? Co-Founder and like Zapata. that, CEO Savoie, turn call

Christopher Savoie

setting the and before developments. Eduardo, to we our Since context an you, call. of recent earnings first greetings is technical joining few We highlighting story financial appreciate the inaugural a minutes call spend QX and more and this and of business, to will Zapata earnings many, from AI you all. some Thank overview turning highlights

their we're and extremely would business again Corp. the now partnership Acquisition is forefront following to combination QX. generative to the revolution. of team proud the at late Andretti We Andretti AI support. And trading industrial in with Zapata our for thank NASDAQ once on vision, the be of unwavering closing Exchange like the AI

quarterly listing will on I stakeholders while the position resources a to to that up basis confident to success technology leader advance scale required providing allow our look our us with industry in providing are updates nascent going forward our this forward. our We business. our on as a further public

before generative founding generative XXXX, entered it journey pioneers term accelerated transformation continue zeitgeist innovation the And only we and the an has pioneer we have that new Zapata in digital our our been pace early our AI as as of priority in now. is the Since trailblazers techniques AI, today. innovating the as

of business much is language revolutionary the model what's possible related the critical large of we industry use intelligence and are While cases. cases, technology on focused use mission analytics, to scope and this operations, with address LLM expanding

sources nodes insights are unlocking previously other can be untapped enterprise's operating that environment. and data hidden Specifically, across the from we powerful an sensors, in real-time

and decision-making. trackside and predicting these to environments capabilities This Creating decision And to and accurately impossible includes industrial variables faster quickly that simulating data generating with Andretti edge we at accuracy. and networks. directly, races, for sensors time, the future, IndyCar optimization difficult with anomalies more support we've in infer on in extreme to critical recommendations working higher demonstrated more measure Global better would as be real near or can detecting run virtual challenging,

where the quantum offer to actually it's revolutionary including deliver is and that we edge with Zapata being customers public more processing data actually only models. more as onramp nearer computing, expect one our the of as generated. These generative matures for an hardware years. coming in that AI. techniques companies quantum-based advantages, potential They AI provide the unfamiliar, unique unique takes or to the also accurate those expressive originates algorithms For quantum and to who of place pure-play refers where also

Gen AI capability. But from today, model Zapata these through benefit enabling is the supercharged our techniques, customers to in

place AI to a we believe and this be the continue generative We that have today. see first long advantage, we practical will that held quantum

industries, many have materials. we seeing which and including government span are telecom, chemicals and and energy, opportunities defense, transport for what manufacturing, pharma services, We automotive, biotech vast industrial and including coined financial AI logistics, generative

working across and have Mitsui Global, sectors. history, research BP, deep these Bank, and worked has BASF, team many Throughout university Trust Our we of Andretti government experience BBVA, with and have customers DARPA our partners. our numerous and included Sumitomo enterprise

freedom industrial a growing AI, to an being anxiety tech giving every At time we the and source for tools range our custom addressing our about use live from we integrated and AI We the a and production generative monopolizing can in platform the their in concerns open of applications of in customers across day Orquestra, challenges any support from deployment ecosystem our to are about options, and customer's with and be enterprises with With software hardware big we cases. unique hear all developing vendor. environment. use the of forced are and prospective best deploying AI, for lock models

will deeper I make into excited few During to to demonstrating a fingertips. sales this are But about call development progress in our have want to breakthrough the the first business minutes, we Yudong strong in continued quarter, our at how we turn over emphasize our we the CTO, technology I dive pipeline. Cao. To first, powerful and

in discussions having with and biotech, potential insurance, about X services, key telecom we are customers excited particularly active defense. and opportunity ahead the we set are on financial industries, of partners Based today, and us pharma

bit, biotech. pharma elaborate a I'll To and start with

and we to and development have drug reduce time costs. production that while manufacturing materially the bringing faster, potential market confident development reducing to thus significantly lines, also are drugs We

core well faster, compliance to work These our decisions. and insurance, costs the and market to customers speeding new highly techniques unlocking savings models dramatically freeing demonstrated Monte substantial delivered reduce drastically make recent have trading transform risk for In compute and financial informed have services as up classical products risk faster, for operations, them potential has to run approaches to times as resources, enabling to simulations. ability we pricing, Carlo up and bringing complex and more

before Andretti anticipate, to predict we deploy for streamlining for network same prepare to high-traffic and network capabilities flag the In about telcos telecom, till market expertise they they and us while for that respond to Wait early respond delivered to disruptions there customer you to help optimize potential yellow these operations is ready moments trackside and the and occur. hear discussions indicate the prediction a events. their have how

These could satisfactory. in challenges. could improvement and anomaly communication detection service costly Applying AI reduce agility generative events, are our providers capabilities billion dollar reduction of and turn significantly OpEx allow and burdensome types major which customer these in and result operations in to

AI a especially To Mahindra's of excited it to announce This the we our on provides the bringing space. with providers, us optimization machine this our learning and where we Tech our intelligence global real-time changer for Zapata, solutions, global can in partners strategic of respected capabilities. incredible technology do is with Mahindra, are telecom portfolio sensor platform access global our one to our telecom formally highly to us Tech good the the most partnership end, game edge, quantum-based generative and most closer partnership

with Mahindra During QX, we the minutes. speak possibilities been the Jon in telcos in exploring X dialogues partnership will collaboration. in leading have a more active this U.S., with Tech few our in about

unpredictable progress mission-critical high-performance essence on to connectivity our more we is opportunities. have capabilities this to share contested the applications of and typically edge where a In and environments, support provide can build We as technology decision we time make that where these cannot area, and continue defense. challenge. that other literally in is shown wait Finally,

summarize Yudong to our over QX. highlights Now technical from to Yudong?

Yudong Cao

To together showed and Christopher. AI, generated for Thank other drug We Zapata milestone believe made generative for to quantum enhanced applications potential Not generating enhanced by generative generative Quantum commercial molecular the the AI. with in affinity at in using Medicine, classical discovery binding in February enhanced we're anywhere were partnership by the design pharmaceutical this University. on a AI announced demonstrates of drugs Harvard AI only compute complex scientific new theme. generative literature, cancer molecular also Picking Toronto first February, completely to pursue provider these those partners and molecules further, the Insilico you, purely AI up quantum a candidate, the opportunities they history superior University D-Wave develop In with time to aid for viable quantum discovery. challenges. over our

with technical including our DoD, have we to work U.S. the continued and defense, delivery. In reach DARPA software milestones in

the hardware quantum multiple the II utility to understand granted the BenchQ, were to computing We're the modalities. year, of our down. across this required government community and U.S. X last source quantum have of we resources will we're steadily for unlock With improving slowing use tool cases not been the year high-value we benchmarking partnership, open award applications. and in quantum help Phase This work

from the end with Andretti I'll Finally, major our Global. work with milestones

familiar accident, or on platform with require live racetrack our that flag is and/or to deployed the prediction model flown intervene. or dangerous that's To those racing, condition SIP. there's hazard time not a we or an vehicles For yellow in in the a on personnel response yellow intelligence other when sensor race flag first auto may a -- our

Given per race miles issue standing drastically are while around track position the on racetrack, and XXX race tow danger past cars the plus of posed forced addressed. is cars all people hour by slow on hold the going massive truck together and the to down, the bunch

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yellow and themselves, strategy able race adjust Using flag extensive race giving flag flown. a critical the a a the X cars was actually when we historical combination around likelihood from window would the to predict of yellow accurately time their next track laps, Andretti of be to were sensors strategists live the before data in and flown the

St. this additional and Check digital to out. such our sharing examples recorded Race is forward Petersburg actual the available IndyCar our this demonstration and website of our from rate We our and earlier season have -- evolve to with in look technology channels. on it continue action. We data capabilities

With I'll Revenue over on Chief commercial Officer, progress. turn update for it to Zorio, said, our that Jon an

Jon Zorio

in ML Yudong component suite we're of one developing race and yellow the just of teams. represents The deploying Thanks, flag prediction model mentioned support various and that of Yudong. generative Andretti's AI applications powerful

As another race are during create to models race. deployed accuracy. like unmeasurable, variables otherwise to We've to data, real-time example, slip [ would tune tire virtual be compelling able a that our AI infer sensors ] XX% we've that angle over been which key generative the

tire time fuel include Other degradation analytics. optimization, use cases lap savings prediction,

the for interior, to applications be our Center, tour the they at races the Analytics customers on at deployed the analytics math, these All and we've for the which as for see or a excellent in harnessing SIP truly power of platform, physically leave proven of real Command and an our RACC AI edge business. RACC. The or themselves they prospective for their Race the run of technology the generative our becomes sensor real-time models IndyCar marketing has possibilities with intelligence tool demonstration edge, all they the impressed and and our sudden can mobile

team. now Andretti well the We're into with our season third

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around intelligence recognized In addition, artificial enhance partner. we've relationship our racing, formally as expanded with innovation marketing now and also cutting-edge IndyCar co-branding to our Andretti's Zapata visibility in

our industrial with generative to believe to of problems. and continue the demonstrating critical that real capabilities our of AI customer in is raising the context work We Andretti visibility

are challenges The transportation to and use same environments and with the analytics space. manufacturing challenging real-time to energy applicable telecom, number from in Andretti of any network decision-making, directly data financial relying to across on massive we're battle industries, logistics, of operations and advanced cases tackling services around amounts time-compressed streaming in

data our our scenarios of work mention In year. terabyte practical IndyCar generative November the it IndyCar with in SMTB, of working we're continue or a environment itself. we to time series of valued purposes, put from SMTB. off race, To perspective, and customer, Sumitomo synthetic X market flowing Mitsui X with With Trust upwards future financial services, sources last hundreds additional sensors. data from data financial of Not We comes simulating for streaming AI track produce the in applying Bank, range during plausible started of including SMTB of movements. for to

will to prepared and simulations managers more confidence. enable scenario make traders test supporting These investors decisions derivative helping accurately and more risk sophisticated stress quickly, also more We're be more and in better to to with traders efficient in addition months. from We calculations coming work results derivative for and their the hedge adjustments some hope or enabling pricing this portfolios to value trustworthy more to share conduct XVAs.

on and our Zapata can U.S.-based This hit wires game engaged providers. from the telecom formally initially working a the where potential earlier, and teams announce we solutions. apply Tech you focusing of thrilled vertical about yesterday. we're QX, in largest our on use we've telcos, of more has focusing to we're can service been and leading release, the the mentioned global several which Mahindra, Christopher with changer to telecom As with our specific it the partnership cases Throughout in sessions strategic press read portfolio be in for

may In for about of hear one also partners, delivering great We're space. in on progress global a with pilot to in near more Zapata's focused where transformation made the services excited services in outcome large successful and working QX, insurer future U.K.-based we financial the breakthrough the collaboration lead. this a

worked deepen to relationships OSS. also our of industry-focused And like partners or We we've continue partners. One ecosystem Stop current with hard Systems our build to

be to in defense opportunities the expect with on collaborating closely them several We space.

During our automotive, financial growth telco, from and care, was health defense. who to customer see manufacturing in insurance, for verticals those comprise engagement s across QX, core leading organizations pleased I strong our who's pipeline brands logos of direct services, pharma, and and

theaters standpoint, sales Japan. and in and America go-to-market been [ our pragmatically in a operation we've BD ] adding primary From North in and capacity EMEA

consultative continue our the demonstrate building to sales thought compelling our day-to-day orientation, and messaging our and mind to customer our the tell work evolve based ideal Zapata and customer profile our and capabilities, brand, stories value to personas and share. with and objective We vertical enhance leadership original produce enhance awareness of up-level go-to-market raise prospecting motion, to executive to industry value-based our educate buyers, the our activities of and to

cultivate building other referral the executive building We're our to programs scale. we're to network friends in gen more tracking our and us process and of that of progress senior of here. process systematically, and and will expand we're lead come help Zapata and discipline these Much activities

turn through back now QX over to go me Christopher Let financials. to Zapata's it

Christopher Savoie

the will a financial us business. and you effective first this I a who is our Since recently providing color Sumit CFO are XX. joined experienced an little be say extra into better understand is John. applicable our Thanks, call, has to earnings to help where our Kapur, I But wanted May to in company. her we thank before forward Sumit having companies. the quick would her our get CFO discussion going welcome tech results, handle look to outgoing growth process. us We for the a to CFO, scaling also We listing expertise our as Mimi dedication like appreciate and consultant rigorous to forward. incredible continued years We financials of commitment through role him supporting including around Zapata, to Flanagan with

to The a results. QX first primarily reflects quarter period-over-period $X.XX which from occurred revenues customer a increase in revenues ongoing said, offset of to XXXX. that with $X.X QX the starting completion subsequent of of into contracts customer million compares XX, by partially to March XXXX, So million, of change million decrease contracts the with $X.X $X.X XXXX recap that entered were QX subsequent an certain XXXX of XXXX. from million

annual reminder, our a revenue stand-ready on As Orquestra, software is subscriptions via we primarily available which to multiyear earn a basis. or platform,

As through as services. well provision consulting of the

QX to million and XXXX. general levels. note, than these was flat and in XXXX. $X.XX the primarily XXXX more $X.XX quite QX revenue in million XX%, made margins million, versus during administrative our in not be significant the $X.X near period Operating at costs anticipate can Of QX lumpy and margin operating with merger costs Gross volatile Gross XX% currently costs with costs with in up do were $X.XX period-over-period associated to the Acquisition Corporation. step-up future. Andretti G&A another million up related We of costs were

Putting XXXX, of million QX with our all line in of together, operating loss the was in $X.XX million loss this quarter. the in year $X.XX GAAP ago generally

million of of Our impact noncash expenses. XXXX GAAP the QX million reflects during net $XX.XX $XX.XX was other loss and

million. XXXX net $X.XX QX loss was Our

basic May of million XX, XXXX, As XX.XX outstanding. we had shares

Before and that flows, cash Andretti closed with our a sheet on to Acquisition Corp. March balance quick turn our XXXX. we combination I reminder XX, business

through I reported have momentarily. brought transaction, in such, although reflect results will As financing cash on subsequent been net there our which the transactions, touch

and XX, used XXXX, in million cash was working generated in $X.XX XXXX. had March figure million $X.XX by restricted On during in by million activities we of cash quarter the $X.XX operating including in is Net $X.XX cash. cash this capital. million equivalents, cash first Included

notes During includes total combination. we issuance of QX closing from as senior as prior in activities. financing well the secured from business additional combination Andretti the the This XXXX, of raised the with business million funds $X.XX of to brought through proceeds a

have We QX the capital additional raised to end subsequent of XXXX.

agreement million Lincoln line XX in of Specifically, our and with forward Investment with $X.X credit through Sandia as of raised million our have we May equity purchase Management, for brought $X.X Park.

flexible We growth control. going as fund plan on cost be strategy forward. we disciplined remaining while our opportunistic judicious, to and

be life concludes company's our However, our this the cycle in offer formal and inherent lumpiness where now I'll on stand we given up our for remarks. results discussion today, we some period, and at closing That not financial will guidance in the providing business time. our

Earlier new have expressed where and call, benefits, insurance, and we in upcoming believe more demonstrated the about my telecom will across the potential defense. conversations sectors quarters. the work in especially financial pharma, having partners with tangible across to constructive our in real, we enthusiasm services, very I these all and industries are we're These has say fronts

We continue we're company, AI attention. a look we time the Operator, to beginning and generative your for industrial and more as questions. our for milestones at grow the we journey you sharing public of as to revolution. Thank ready lead are forward and only

Operator

from We line will first Northland now Latimore Markets. be conducting question comes our Michael with of Capital a [Operator the And session. Instructions]. question-and-answer

Mike Latimore

Congrats here. on your first earnings call

So a capabilities, could devices? replace how on very talk going want to be Can the like the Tech them? And network Are there? management Mahindra network I extensive and you you is you relationship opportunity about you interesting. prospects great. current kind Just supplement would are bit little deployed? versus backbone more the there then in -- ] get elements be is [ fault mean, see CPE of more specific you the to clarity intent

Christopher Savoie

Imagine next either X a working to box lap deep node ahead, to a obviously, in But of yes, the you if laps or or ensemble. models Sure. a prediction, a laps on these model network, the I things really. ahead, of in and proprietary having imagine each X router Yes. sense, sider can't folks' flag where I next yellow tower. can generic And whatnot. get such models looking into, a X about a different ahead, have we the of story follow different networks there,

you to possible the on message. traffic there pre-report report, and say, have jitter down network get devices a a conceivably that type those ability the indicate or And signals incoming or of events so XX other before malfunction line a you could

other there, applicable. management, in power So be this can grid of on network that situations you places obviously telco more has edge types think but like other and where applicability broadly may

Mike Latimore

prospect then Great. How a little any -- Just Yes, Great. how pipeline? prospects? a the anything, quantification, color growing? you little many maybe just prospects, -- more bit comment count how if is number And fast on on of can just more here? pipeline the the much

Christopher Savoie

Yes.

for can say it's recently, call And there's is I think their I demand, the the pretty significantly. demand relentless. generative that In AI growing competition.

don't We want provide So to the pipeline is guidance that. on growth.

what's over in come quarters today, we pipeline to as watching you see to quarters. reported -- an saw, few new through that coming going important increase see as next customer meet expansion be think bookings one the expansion hopefully, new I as well logos account, is over in demand. the you'll coming and the And in you'll

Operator

And the of our line Roth next from comes Rohit MKM. question with Kulkarni

Rohit Kulkarni

few can seem picture, talk IP on job, are through and successful up as big of plans set mind. Good Maybe to yourself to through the that to Christopher on and I be hiring company. Those team, the the questions, patent A opportunities you then At you team first be then to have. questions think of kind types talk what And Maybe robust call. first a the IP have earnings about public of maybe a your a come that. the portfolio. unlocked follow-ups. and a just you talk pretty couple portfolio also

Christopher Savoie

Yes. Sure.

with of I as as us Sumit deep First will mathematics the CFO into we're joining so background very mean all, you an see has actually a understands in background and who way. applied fantastic technology a well, yes,

So we're that. about excited

some see over additional quarters. you'll next think level hires the executive coming I

AI who we'll high-level we already globally. have revenues growth as And pipeline. continue Obviously, customers engineers talented, that that demand, here. in are pool our to we have scientists that then continued as a be And generative going to and do it's extremely add we to to of people meet add and a continuing we're

You America has of can't dozen. backgrounds a a North dime these who not bring always to they're everyone kind because

we've with people So we fact operate I can pretty in that our advantaged, Europe. we the And globally been people in mechanisms. have think,

that also global global. are here global customer because Fortune XXX the base for is geographies expansion companies are type We in have key Japan. in And people other our that

significant we the mentioned Yes, IP. there. have And portfolio pretty a you

advantage with give can rank techniques are general will our us that we and have the technology. in we differentiated in that was enhanced our As really we AI seen on the deliver highly to presentation, quantum what going marketplace you a pretty believe especially

this did saw of with that and an Harvard a commented I and developed drug did about and an AI our on context is and providers Yudong other and that we Medicine, of the with and really the hardware our quantum work advantage. We're leveraging bit that where as work You go, that's discovery drug we exciting. Toronto, enhanced technology, Insilico continuing -- in actual work the D-Wave University we

it's actual IP, just bring relevance. but exciting into for not That's the So ability the this to us. commercial really

Rohit Kulkarni

conversations just migrating And large AI maybe Gen Great. business projects large So mission-critical more are kind customers to kind that demos these leads dev color right on, your of your provide and last and adoption the trying -- of various do talk months. on you that adoption are AI? into in side, the maybe how business think the of sell you production through applications over Okay. to then curve are through different conversations curve and on through pilots X with through Gen extent of when actual pipeline. you these How around can your kind companies kind are have from and to? where of you're now in experiments Maybe with kind that we X, this the your

Christopher Savoie

the question we're transition days, for there are Yes. I that that some because Well, in observing but I indeed thank think these think you that early marketplace. is

in possibility releases kind we But some -X order, large recent language guess, then some really use other have open are We in things. language And think these wow, and with you see AI event do mode -- quickly where tires GPT-X has models folks' quick into things pretty models. were to of the and that incredible horizon, a realize, we will. to if do AI, Where kicking the event can generative people I models. to I

other there the brass everything -- could some I a large I by really the of that the a all. use okay, language there's be into we're expectation that going obvious models the It things some tacks, C-suites and well, things them tackling maybe the of, think like industry, at going numbers, fail of is large Maybe can small possibly I language But sometimes. in is a everything, language models got good bit language. became about this? where general Actually, models little was rules think think that also as they omniscient. and people So They're of use math are good the grade that, that necessarily Where that are numbers. school kind companies. knows AI large language analytics expectation model at blocking in I They're okay, better models. level I to at and was one market, language people model think, smaller no these not

that your So several finding, to do like what you the to realize do different of going there to this. we're useful need is kind our models -- that with models want in while do, now and stuff enterprise, you're generative that production and people it's going some They UI your is advantage with in to need of combined power maybe most things to want lots language in this have models, the improve telco AI oftentimes revolution, a for car some to in better we them. provide can a those you're reduce are kind part, models. to and you're numerical network nature, But a race with costs or performance or if of These get strategy. different things

there getting is has shift so conversation. into this And the been -- advantageous

you're also can the kind of which might we're trading do the our moving up opportunity. do enterprise brass analytical you analysis, kind FP&A we are actuarial really the it an company. need which in tacks science of These things space. conversation now, models, market And in opens language enterprise finance, different starter. involve numerical that's if you things to excel gets where at, insurance like are models do strategies, we LLMs, to which when So of what But sensing people in

Rohit Kulkarni

be just the these you're that use The telco, diverse. quite and getting. of question, each And the across pharma, value actually financial is you pipeline Fantastic. cases core on pretty services, receptivity mentioned diverse, the and for verticals defense one variety Okay. last of and prop could like a industries

you industries? pretty or effect So creating that you feel is of common these probably adoption Perhaps that anything selling reducing building applications thread products is as there a to success you new or to and emerging there costs that or greater seeing thread is in. signs you're early different common are of think

these love would like for where factor here across yours? industries common a the company diverse to understand young Just is

Christopher Savoie

diverse. are good important. kinds good mathematically a these lot use lot news but for a it same. that But series cases. use of series these attacking It's The these But data of a time and data, in us, the cases sounds of geeky of the a very is kind Sure. data answer, news of we're are lot the

The time So new like may the thing. Yudong way Mathematically, to we the mathematically discovery the And case is what same and the it formulate discovering get certainly, the insurance a not perspective, use they're call car bit. or data. on series while little strategy same problem molecule at a and they're the and I from can series same And it from maybe drug perspective. sound all and solve upon data thing that is. race here a data not expound

with different verticals, don't This to the these really is to the AT&T be -- into say in in or fantastic us to customers that in great take and experts why know be knows and And we so expertise the pretend to we has of Verizon domain expertise. people those it's telco thing. partnerships are why I'll have already That's able those and well, every a to want with partner critical these accounts work one those the another to domain to the customers verticals. like because Tech also, have like Mahindra

global that orthogonal. reach able be the different and increasing very same the us platform, math and to stretching costs. ourselves same same it's tools gives the complementary and without into And verticals to verticals So reach in our with

I if about you don't data. Yudong, to series time comment bit the know a want little

Yudong Cao

Yes.

a form. data then tax scoring essentially And of So form as the molecules the sequential Even financial as we form sequential sequential to of problem time data takes also series modeling representation. a time cast and can obviously, be series raise data. and data fundamentally, are takes well, solving is a timing data

mathematical structure So the have what done those. looked have techniques we these developed And at problems. towards these quantum of the of underlying that is structure problems, we

side, convergence. And science the of there's a so very sense definitely strong on

I'll the the as practice of get can that practice, machine operationalization well. also team Andretti, -- to and algorithm that repeatable our through deployed is projects overall the that add have also That the practice developed board also something is like across learning how engineering expertise production. also we into

Rohit Kulkarni

very for I'll in queue. This the interesting cool. you color. back the and is Thank go Okay.

Operator

Markets. of question next the with Brian Our Capital from Chardan comes Dobson line

Brian Dobson

industries that And any your mentioned those from the you that as immediate you key received good have see future? you share the technology. fit most can on several might you would be for you a forward, Which technology? regarding moving So those your may in industries of focus feedback

Christopher Savoie

Yes. obviously, I have to be these applications because, are we're mission-critical careful that doing.

math we recognition people when immediate the that is deploy, involved, So is this of exciting. get sides is they're to math on this we yes, what And the yes, an technical the related -- relevant. there's doing. the to applicable those feedback the can Yes, is

relationship it's X we that began more work SMTB, that X, on the area. trading announced like them, generative some we of of or directly, predicted strategies. them we're context last as focus goes, and some of As with finance through in said, like portfolio management where trading in far in scenario working the the QX customer directly these partners, with generation, year, AI

We've some had delivering bank trading. to area, some as insurance in that financing many adjacent And is ] similar cookie-cutterable can also and [ in is you areas. success capabilities the imagine, across, financial which

expansion trades. that the is things some are places same and of important. in These a real-time problem. as Japan are market really It's racing, immediately, series large very think it's this just series updates value And data of We pretty add the time things time have we particularly a things these the applicability so already. we is bank in traction -- can with initial and that where

that very sector much leverage So the that coming we in able in quarters. expect be to to

importantly, can see edge things important machines recent that we themselves things that where would era -- defense update solution are And and by where that space. obvious and prevalent and on to and it's to defenses. know to how robotic with become And you in and that particularly unmanned national at deliver fly allows edge unmanned be all predict us for the see real AI ability I time, in the the more defense, data then an is vehicles that things becoming more the in defense very a to the us our industry doing months, think years things generative the important in

about progress. very able excited to one we And be in and quarters another that's announce very hope the that So focused on about. our some stuff coming to we're

Brian Dobson

That's color. very exciting great and

what learned some I speak And I offered as can with through facilitating racing, that flag your less the in environment? guess, predictive that work business you has call impressive. been technology you as that far use or you've IndyCar of about Speaking your mean new than the introductions? can have ideal you synergies model work RACC illustrate suboptimal is a, able it, that Have yellow to to very to

Christopher Savoie

the note X that's in that server it's and shaking the And NVIDIA There's truck a facility environment are factory have an to Absolutely. actually GPUs that in a damper thing. important in testing horrible. in we damper RACC truck at that that

the recent the imagine So At ] one card-based Series races, there. IndyCar can to got won't a be solution cut. stand work power you [ of

yellow So even a they the before to throw race started. had flag

Cat that weekend. are in cable is a you're a with lot ad you're this way. just road So in set hoc not for the across It's up of X that very a It's city these kind course in, the just environment running interesting tracks environment. have -- is on problem, gets a horrible The case get We actually data. connectivity just hot. which access time, Starlink a in itself and guaranteed. truck really It's the a creates to network the not to the becomes truck cloud of always really fixed

do say, telcos So it's we've grid and stations of networks been in those fact but power of try really exactly do really some AI we've who been kind could and run, have the important for environment and is problems there ways, able most to those and power operationalize it, kind able you and folks the to with that who horrific have situations. work to to

do real tie hour between a couple in very last Indy was the peak. with that weeks, and XX In XXX the time an of qualifying at believe, X for fast of at down after ability XXX X/XX,XXX a second to a year, And updates. the miles I to XX sportwear the there at miles

of So the kind that's environment.

our we so the ability, And marketing have actually, valuable. really is relationship

the connections actually most breeds and And and And we -- is some fewer points doing there, XX/X not do it -- we that, there customer see the kind if I on the it the as in variables. but actually, than extreme, a can can deliver it that our of just can lot that data horrible, looking think, see the confidence people where cloud we environments. less a much be on there. there's is pretty concept, of actually, but sound data truck, as solution may of So market with of actually environment then a it have And extreme right, to it going have that. data banking fewer see and really the think live see analytics at we base

have the than there we portfolio, trading car to in in than monitor are ironically situations situation. a So

to directly real get these to new tell of racetrack. of live, lot very And and be on a it, at hopefully, really from logos a announce. touch that the in race has And in that hopefully, able the they're be a see and give able able our more it transfer pipeline. really production. And customers format. to take interactions able obviously new itself So it, it's been we'll seeing the that able while be experience to coming We're into see we'll comes feel color quarters as in that we'll the to happen wins with good it you data it, to the actually that came watching

Brian Dobson

it. Excellent. Thanks color. I that for appreciate

Operator

next Our line Lee Yi question Cantor of the comes Fu from with Fitzgerald.

Yi Lee

each your like to Congrats you question out edge, with large Chris. from how other the coupling if where in with competitive NASDAQ Zapata physics, -- in wondering be Zapata listing this gentlemen, edge Zapata computing Open was from were against you your Thank I I for does language [ quantum standard is on starting quarter. fleshing have different competitors? differently AI versus to of do ] for Maybe compare right? What terms AI. Chris, startups, AI one right, maybe like the model,

Christopher Savoie

really the and algorithms we Well, -- on capability I of math doing we people for that certainly, the the mean gives the I with quantum a that of have working on and minds math, brightest edge. and think quantum in for the department edge the defense some we years competitive these us program on have and capability have been that of couple the a planet them DARPA benchmarking now. we've the mathematical

kind And that so we out of advantage, really that the IP do comes advantage people have of that.

really these models. apply so have math can we cutting the generative And to we AI that most edge

think a I that's advantage. key So

can actually it I it weekend think in the And see real and running I the this doing are at with mean every we're something saying best be at then updating And in said models the track. in XXX there will working. these that you flag production. and to time. models it. time models Indy yellow bringing Yudong It's There's actually real these

So or in real We just this stuff actually for the actually we decisions. kick make of production. important things. stuff kind This these making kind POC of can experiment do work can isn't tires or this

the ability tense. we a We've or can really do it it, saying we this decision AI can so And environments do done into assisting this. is, science thinking us past We're enterprise decision to actually and really the edge. an gives it's deploy that not

Yi Lee

with right? the transition big more how this, could us large then moving with the on University. to the Yudong, other academics was working Working Got color Yudong, if could about you I you pharmas. D-Wave to some And opportunity guess, wondering give of commercial discovery. drug mentioned it. I you with Harvard

Yudong Cao

Yes.

the machine material by used other problems. also types of or for learning discovery discovery like and the So itself be infrastructure types other design model of can

molecules. -- does propose that target. our -- another has in that assuming take is produce we that downstream identified molecular a is target And then the also, partner there's a And so So that will role there's project to this design. that given partner a works those and

an plug don't process? math get -- does an make that also does target biomedic how do repeatability where into actually this identification. not like of we that embodiment So Christopher So is we saying ] a company [ does actual was a our what drug We're our that molecules. -- not how we're and company

and that with and D-Wave we nicely, -- So we we ongoing connect perform manufacturing. identification partnerships the also can organizations have through testing in plug with these will with but universities, and very -- drug and target

but capability. in ecosystem -- AI our these organizations generative with partnering So plus

with So entire this to essentially. go pipeline the how truly market we is

Yi Lee

makes Got it. Jon. ending And sense. finally, with then That

probably describe Mahindra Tech little this opportunity? please. very it AT&T, little it like the that bit Maybe Verizon, very a partnership, sounds bit exciting. a Can you the sounds like about et cetera. could U.S. you bring opportunity, On carriers more on to big, It this all and

Jon Zorio

in And the Sure, [ happy touched comments on to. earlier briefly I ]. it Christopher think

models networks of our literally large placing of I think of the the power nodes is with edge those at built data. millions of hundreds

learning farthest where the jitter, able to with said, was up where those or slight might an undetectable. to that and we be So something different have reaches being of possible that that indicate may sensitivity pinpoint lack real-time the hardware at sensitivity might or that of happening very some pick models sort place is detections a anomaly changing as a -- problem, of our to fidelity machine with intrusion of there track signal the to along at sort something be of previously network have signals, the in can places piece a hierarchy, the some data change or Christopher and it's it's not pattern,

somewhere is traffic can there to we disruption, else. can react the carrier immediately, route if -- a it So

rolls, all all kind the large with literally were these problem Just by about out -- potentially are truck, truck you outages. large just all outage dollar was problems. when a with think recently a probably and of a proactively zoom dispatch there carrier, the And and you impacted billion with this were

they proactive the intelligence the savings their send kind math sitting we're a teams figuring they're into us and just co-solve we're of doing pain correlation out this have So the more tremendous. responses in through some the these together, to had manner, ability where and engines or can If with happens taking carriers, of automate together. more we timely down points they are to and a out network, update pinpoint baked and much problem how

frankly, networks or And they up point characteristics that operate. less these same I more terms are how generally of the the on how the think you're picking in of

the planning as -- drive So as construct. value we in couldn't were drive we're one, well many network more able we as to, in no value there's reason

-- machinery rail. doesn't Any it need only take in a a ]. to much is that's large large an Now complex and there action time Any time that airline, very maybe have quickly, just it's monitor sweet a to devices, maybe maybe spot. we our be it's it's of telco utility, anything, network dispersed [ large complex there's geographically

solution the is pretty of and the So repeatability tremendous. extendability

Operator

Thank you.

the our Christopher with back question-and-answer that, to like to And would over session. We comments. end Savoie reached for floor turn of I the closing have

Christopher Savoie

call. our the next for Thank and to to look Thank thank Bye you you questions, so forward much. at much, very we all you talking and you again great now.

Operator

teleconference. today's concludes This

at You Thank lines you this participation. your may disconnect time. for your

Zapata Computing Holdings Inc. Common Stock (ZPTA) 15 May 242024 Q1 Earnings call transcript