LatticeFlow raises $12M to eliminate computer vision blind spots

LatticeFlow raises $12M to eliminate computer vision blind spots

  • 10/26/2022 - 07:01
  • 3 Wiev

LatticeFlow,astartupthatwasspunoutofZurich’sETHin2020,helpsmachinelearningteamsimprovetheirAIvisionmodelsbyautomaticallydiagnosingissuesandimprovingboththedataandthemodelsthemselves.Thecompanytodayannouncedthatithasraiseda$12millionSeriesAfundingroundledbyAtlanticBridgeandOpenOcean,withparticipationfromFPVVentures.ExistinginvestorsbtovPartnersandGlobalFoundersCapital,whichledthecompany’s$2.8millionseedroundlastyear,alsoparticipatedinthisround.

AsLatticeFlowco-founderandCEOPetarTsankovtoldme,thecompanycurrentlyhasmorethan10customersinbothEuropeandtheU.S.,includinganumberoflargeenterpriseslikeSiemensandorganizationsliketheSwissFederalRailways,andiscurrentlyrunningpilotswithquiteafewmore.It’sthiscustomerdemandthatledLatticeFlowtoraiseatthispoint.

“IwasintheStatesandImetwithsomeinvestorsinPaloAlto,Tsankovexplained.“Theysawthebottleneckthatwehavewithonboardingcustomers.Weliterallyhadmachinelearningengineerssupportingcustomersandthat’snothowyoushouldrunthecompany.Andtheysaid:‘OK,take$12million,bringthesepeopleinandexpand.’Thatwasgreattimingforsurebecausewhenwetalkedtootherinvestors,wedidseethatthemarkethaschanged.”

AsTsankovandhisco-founderCTOPavolBieliknoted,mostenterprisestodayhaveahardtimebringingtheirmodelsintoproductionandthen,whentheydo,theyoftenrealizethattheydon’tperformaswellastheyexpected.ThepromiseofLatticeFlowisthatitcanauto-diagnosethedataandmodelstofindpotentialblindspots.Initsworkwithamajormedicalcompany,itstoolstoanalyzetheirdatasetsandmodelsquicklyfoundmorethanhalfadozencriticalblindspotsintheirstate-of-the-artproductionmodels,forexample.

Theteamnotedthatit’snotenoughtoonlylookatthetrainingdataandensurethatthereisadiversesetofimages—inthecaseofthevisionmodelsthatLatticeFlowspecializesin—butalsoexaminethemodels.

LatticeFlowfoundingteam(fromlefttoright):Prof.AndreasKrause(scientificadvisor),Dr.PetarTsankov(CEO),Dr.PavolBielik(CTO)andProf.MartinVechev(scientificadvisor).ImageCredits:LatticeFlow

Ifyouonlylookatthedata—andthis isafundamentaldifferentiatorforLatticeFlowbecausewenot onlyfindthe standarddataissues likelabelingissuesorpoor-qualitysamples,butalso modelblindspots,whichare thescenarioswhere themodelsarefailing,”Tsankovexplained.“Oncethemodelisready,wecantakeit,findvariousdatamodelissuesandhelpcompaniesfixit.”

Henoted,forexample,thatmodelswilloftenfindhiddencorrelationsthatmayconfusethemodelandskewtheresults.Inworkingwithaninsurancecustomer,forexample,whousedanMLmodeltoautomaticallydetectdents,scratchesandotherdamageinimagesofcars,themodelwouldoftenlabelanimagewithafingerinitasascratch.Why?Becauseinthetrainingset,customerswouldoftentakeaclose-uppicturewithascratchandpointatitwiththeirfinger.Unsurprisingly,themodelwouldthencorrelate“finger”with“scratch,”evenwhentherewasnoscratchonthecar.Thoseareissues,theLatticeFlowteamsargues,thatgobeyondcreatingbetterlabelsandneedaservicethatcanlookatboththemodelandthetrainingdata.

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LatticeFlowuncoversabiasindatafortrainingcardamageinspectionAImodels.Becausepeopleoftenpointatscratches,thiscausesmodelstolearnthatfingersindicatedamage(aspuriousfeature).Thisissueisfixedwithacustomaugmentationthatremovesfingersfromallimages.ImageCredits:LatticeFlow

LatticeFlowitself,itisworthnoting,isn’tinthetrainingbusiness.Theserviceworkswithpre-trainedmodels.Fornow,italsofocusesonofferingitsserviceasanon-premtool,thoughitmayofferafullymanagedserviceinthefuture,too,asitusesthenewfundingtohireaggressively,bothtobetterserviceitsexistingcustomersandtobuildoutitsproductportfolio.

“Thepainfultruthisthattoday,mostlarge-scaleAImodeldeploymentssimplyarenotfunctioningreliablyintherealworld,”saidSunirKapoor,operatingpartneratAtlanticBridge.“ThisislargelyduetotheabsenceoftoolsthathelpengineersefficientlyresolvecriticalAIdataandmodelerrors.But,thisisalsowhytheAtlanticBridgeteamsounambiguouslyreachedthedecisiontoinvestinLatticeFlow.Webelievethatthecompanyispoisedfortremendousgrowth,sinceitiscurrentlytheonlycompanythatauto-diagnosesandfixesAIdataandmodeldefectsatscale.”

ETHspin-offLatticeFlowraises$2.8MtohelpbuildtrustworthyAIsystems

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