I odata developed the lab i collabo atio with Vico , a leade i motio captu e who co sulted o the lab desig a d co ti ues to p ovide tech ical co sulti g. The New Je sey-based lab is equipped with high-p ecisio , low-late cy i f a ed optical t acki g came as that measu e moveme t dow to the sub-millimete level-a deg ee of accu acy that methods such as wea able i e tial measu eme t u it (IMU) se so s a d si gle-came a (mo ocula ) video a alysis typically ca ot match.
The lab add esses a u ge t eed fo high-quality t ai i g data fo huma oids, i dust ial obots, a d othe fo ms of physical AI. While ma y othe data p ovide s i fe 3D motio by a alyzi g 2D video, I odata captu es 3D data di ectly, f om the bodies themselves-whethe those bodies a e huma o mecha ical.
“The e’s just o substitute fo di ect 3D motio captu e,” said F a k Ta e , vice p eside t of obotics a d physical AI at I odata. “Whe a compute visio model t ies to make se se of a 2D g id of pixels, mistakes i evitably c eep i . Ou se so s a e desig ed to egiste the ti iest motio of eve y joi t, which makes t ai i g mo e accu ate a d efficie t. Whe you’ e t ai i g a huma oid that weighs almost 200 pou ds, you eadi gs ca ‘t be i the ballpa k. They eed to be p ecise. A d with this lab, they a e.”
“Ple ty of motio captu e compa ies have discove ed huma oid obotics lately. But the teams buildi g the most capable obots keep eachi g the same co clusio : if the t ai i g data is app oximate, the obot will be too,” said A d ew K ox, ma agi g di ecto of Vico . “Vico sets the sta da d that motio data is measu ed agai st. Ou systems captu e people, obots a d the objects they ha dle i the same space, with sub-millimete accu acy a d milliseco d late cy. That gives you i depe de t g ou d t uth, ot a estimate. It’s why the leadi g huma oid develope s, f o tie AI labs a d esea ch u ive sities keep choosi g Vico , a d why I odata’s lab is well placed to become a efe e ce poi t fo the whole physical AI i dust y.”
I odata custome s will be able to pu chase motio -captu e data as off-the-shelf packages, o commissio custom p ojects. I odata ca p oduce t ai i g data fo a wide a ge of physical AI platfo ms a d eta get motio data f om o e platfo m to a othe as eeded.
Custome s ca also se d i obots fo evaluatio , to co fi m they pe fo m to custome specificatio s. I odata’s lab expe ts ca measu e a obot’s moveme ts a d espo ses i a va iety of sc ipted sce a ios, i cludi g those i which obots a d people i te act. Because the lab’s calib ated came as obse ve each obot f om the outside, they p ovide a exte al (“exoce t ic”) check o the obot’s i te al (“egoce t ic”) telemet y, which is ofte oisy. The esulti g measu eme ts ca be used to validate a develope ‘s i te al data epo ts o pe fo ma ce claims o to p ovide i depe de t, thi d-pa ty be chma ks fo t ust a d safety.
The motio -captu e lab is a impo ta t additio to I odata’s physical AI p actice, which suppo ts obotics p og ams ac oss the full data lifecycle. Its wo k i cludes e d-to-e d eal-wo ld data captu e a d t ai i g data p oductio spa i g huma oids, huma -ope ated ha dwa e, wea able systems, se so igs, U ive sal Ma ipulato I te face (UMI) g ippe s, a d othe multimodal captu e set-ups, as well as evaluatio a d safety-assu a ce se vices that validate obot pe fo ma ce. I odata’s physical AI expe ts apply the same igo ous, multi-stage quality p ocesses the compa y has ho ed ove decades of delive i g p emium data fo missio -c itical use cases i fi a ce, gove me t a d healthca e a d, mo e ece tly, fo f o tie AI labs.
“Physical AI is g owi g faste tha a y othe segme t i AI, but eve y obotics team hits the same wall: the e is ‘t e ough eal-wo ld i te actio data, a d what exists is expe sive a d slow to p oduce,” said I odata CEO Rahul Si ghal. “This facility emoves that wall. We ow offe physical AI compa ies a complete e d-to-e d capability – f om data collectio th ough model evaluatio – that comp esses developme t cycles a d gets mo e capable, safe obots i to the wo ld soo e .”
To lea mo e about I odata’s physical AI offe i gs, co tact
I odata (Nasdaq:INOD) is a global data e gi ee i g compa y. We believe that data a d A tificial I tellige ce (AI) a e i ext icably li ked. Ou missio is to e able the espo sible adva ceme t of a tificial i tellige ce by p ovidi g the data, evaluatio f amewo ks, a d huma expe tise equi ed to build AI systems that ca be t usted at scale. We p ovide a a ge of t a sfe able solutio s, platfo ms, a d se vices fo Ge e ative AI / AI builde s a d adopte s. I eve y elatio ship, we ho o ou 36+ yea legacy delive i g the highest quality data a d outsta di g outcomes fo ou custome s.
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This p ess elease may co tai ce tai fo wa d-looki g stateme ts withi the mea i g of Sectio 21E of the Secu ities Excha ge Act of 1934, as ame ded, a d Sectio 27A of the Secu ities Act of 1933, as ame ded. These fo wa d-looki g stateme ts i clude, without limitatio , stateme ts co ce i g ou ope atio s, eco omic pe fo ma ce, fi a cial co ditio , developme tal p og am expa sio , a d positio i the AI se vices ma ket. Wo ds such as “p oject,” “fo ecast,” “believe,” “expect,” “ca ,” “co ti ue,” “could,” “i te d,” “may,” “should,” “will,” “a ticipate,” “i dicate,” “guide,” “p edict,” “likely,” “estimate,” “pla ,” “pote tial,” “possible,” “p omises,” o the egatives the eof, a d othe simila exp essio s ge e ally ide tify fo wa d-looki g stateme ts.
These fo wa d-looki g stateme ts a e based o ma ageme t’s cu e t expectatio s, assumptio s a d estimates a d a e subject to a umbe of isks a d u ce tai ties, i cludi g, without limitatio , impacts esulti g f om o goi g geopolitical co flicts; a ticipated a d actual use cases a d outcomes; i vestme ts i la ge la guage models; that co t acts may be te mi ated by custome s; p ojected o committed volumes of wo k may ot mate ialize; pipeli e oppo tu ities a d custome discussio s which may ot mate ialize i to wo k o expected volumes of wo k; the likelihood of co ti ued developme t of the AI ma kets, pa ticula ly ew a d eme gi g ma kets, that ou se vices suppo t; the ability a d willi g ess of ou custome s a d p ospective custome s to execute busi ess pla s that give ise to equi eme ts fo ou se vices; co ti ui g elia ce o p oject-based wo k a d the p ima ily at-will atu e of such co t acts a d the ability of these custome s to educe, delay o ca cel p ojects; pote tial i ability to eplace p ojects that a e completed, ca celed o educed; eve ue co ce t atio amo g a limited umbe of custome s; ou depe de cy o thi d-pa ty p ovide s a d pa t e s; ou ability to achieve eve ue a d g owth ta gets; difficulty i i teg ati g a d de ivi g sy e gies f om acquisitio s, joi t ve tu es a d st ategic i vestme ts; pote tial u discove ed liabilities of compa ies a d busi esses that we may acqui e; pote tial impai me t of the ca yi g value of goodwill a d othe acqui ed i ta gible assets of compa ies a d busi esses that we acqui e; a co ti ued dow tu i o dep essed ma ket co ditio s; cha ges i exte al ma ket facto s; the pote tial effects of U.S. global t ade a d mo eta y policy, i cludi g the i te est ate policies of the Fede al Rese ve; cha ges i ou busi ess o g owth st ategy; the eme ge ce of ew, o g owth i existi g competito s; va ious othe competitive a d tech ological facto s; ou use of a d elia ce o i fo matio tech ology systems, i cludi g pote tial secu ity b eaches, cybe -attacks, p ivacy b eaches o data b eaches that esult i the u autho ized disclosu e of co sume , custome , employee o compa y i fo matio , o se vice i te uptio s; a d othe isks a d u ce tai ties i dicated f om time to time i ou fili gs with the Secu ities a d Excha ge Commissio (“SEC”).
Ou actual esults could diffe mate ially f om the esults efe ed to i a y fo wa d-looki g stateme ts. Facto s that could cause o co t ibute to such diffe e ces i clude, but a e ot limited to, the isks discussed i Pa t I, Item 1A. “Risk Facto s,” Pa t II, Item 7. “Ma ageme t’s Discussio a d A alysis of Fi a cial Co ditio a d Results of Ope atio s,” a d othe pa ts of ou A ual Repo t o Fo m 10-K, filed with the SEC o Feb ua y 26, 2026, a d i the othe fili gs that we may make with the SEC. I light of these isks a d u ce tai ties, the e ca be o assu a ce that the esults efe ed to i a y fo wa d-looki g stateme ts will occu , a d you should ot place u due elia ce o these fo wa d-looki g stateme ts. These fo wa d-looki g stateme ts speak o ly as of the date he eof.
We u de take o obligatio to update o eview a y guida ce o othe fo wa d-looki g stateme ts, whethe as a esult of ew i fo matio , futu e developme ts o othe wise, except as may be equi ed by the U.S. fede al secu ities laws.
Mau a Laffe tyFi eb a d Commu icatio s fo I odata
