Encoding Human Expertise into Machines.
Human voice, vision, reasoning, & expertise — encoded into training data by our Expert Network and Data Foundry.
Encoding Human Expertise into Machines.
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The Problem
AIcansolveolympiadproblems.Itstillcan'tdoyourjob.
Modelshavememorizedtheinternet.Theycanwriteessays,passbarexams,andprovetheorems.Butaskonetonegotiateadeal,comfortagrievingpatient,orspeakwiththewarmthandtimingofarealhumanvoice—andtheillusionbreaks.
Humanexpertiseisstaggeringlycomplex.Itspanseverymodalityandeveryculture—howasurgeonseestheoneshadowonascanthatchangeseverything,howatraderhearsriskinapausebetweenwords,howatherapistreadsafacebeforeasinglesentenceisspoken,howmeaningshiftsbetweenlanguages,accents,anddialectsthatnomodelwastrainedtounderstand.
Noneofthiswaseverinthetrainingdata.Scalingcomputewon'tconjureit.Syntheticdatawon'tapproximateit.Thebottleneckwasneverintelligence—it'stherichnessoflivedhumanexperience.

Our Solution
Weencodehumanexpertiseintomodelsthatworkfortherealworld.
We'reanappliedresearchlabbuildingthedatainfrastructureandhumanexpertisenetworktoencodereal-worldknowledgeintofrontiermodels—acrosseverymodality,language,anddomain.
Wepartnerwitheliteprofessionalstocapturewhattheyactuallydo.Thereasoningbehindadiagnosis.Theinstinctinanegotiation.Thecadenceofanativespeaker.Theengineeringinsightinadesigndecision.Themicro-expressionsamachinehasneverbeentaughttosee.
ThisflowsthroughourDataFoundry—apurpose-builtenginethattransformsrawexpertiseintostructuredtrainingdata,alignmentsignals,andrigorousevaluationsatscale.FromPhDmathematiciansandvoiceactorstoconstitutionallawyersandlinguists,everydiscipline,accent,anddialectgetsitsownpipeline.
Research & Blog
