Recog ized fo ma ket-leadi g AI i ovatio s i cludi g Spotte , Model Co text P otocol (MCP) i teg atio , a d ative mobile embeddi g that empowe p oduct teams to delive gove ed, customizable a alytics di ectly i to eve y applicatio
MOUNTAIN VIEW, Calif., Oct. 27, 2026 (GLOBE NEWSWIRE) — ThoughtSpot, the Data a d AI platfo m compa y, has bee amed a Leade i the 2026 Nucleus Resea ch Embedded A alytics Tech ology Value Mat ix, achievi g the highest positio fo usability amo g evaluated ve do s a d positio i g fu thest towa d the uppe – ight co e of the Leade s quad a t. Nucleus Resea ch evaluated ve do s based o usability a d fu ctio ality, highlighti g ThoughtSpot’s ability to help p oduct teams effo tlessly embed AI-d ive , highly customizable a alytics i to web a d ative mobile applicatio s while mai tai i g igo ous gove a ce.
“As e d use s sta t aski g questio s th ough AI assista ts as well as dashboa ds, i sight, co siste cy a d dist ibutio become the co e buyi g c ite io s. ThoughtSpot a swe s f om o e gove ed sema tic model, euses the defi itio s teams al eady keep i thei cloud data platfo m, a d ca ies those a swe s i to assista ts like Claude a d ChatGPT th ough MCP. Because eve y Liveboa d, Spotte co ve satio , a d AI assista t que y u s o the same sema tic model a d O g bou da ies, p ovide s add a ew su face without ebuildi g secu ity, which ea s ThoughtSpot its leade positio ,” said Alex Wu m, P i cipal A alyst at Nucleus Resea ch.As softwa e p ovide s evolve beyo d t aditio al dashboa ds to co ve satio al AI a d age tic expe ie ces, embedded a alytics is becomi g a c itical compo e t of p oduct diffe e tiatio . ThoughtSpot Embedded helps p oduct teams b i g i te active dashboa ds, atu al-la guage a alytics, a d AI age t capabilities di ectly i to thei applicatio s, suppo ted by a sha ed gove ed sema tic fou datio . This app oach e ables softwa e p ovide s to delive co siste t, secu e i sights ac oss multiple expe ie ces without ebuildi g thei data defi itio s a d secu ity a chitectu e fo eve y i te face.
Be eath it all, Nucleus Resea ch highlighted the followi g capabilities:
O e gove ed fou datio fo eve y su face: Dashboa ds, Spotte co ve satio s, a d AI assista t que ies all a swe f om a si gle gove ed sema tic model, a d teams ca euse the defi itio s they al eady keep i S owflake, Datab icks, a d dbt. O gs give each custome a isolated space, a d ow- a d colum -level secu ity limit eve y use to the data they’ e pe mitted to see. Eve y ew su face, f om i -app chat to ative mobile to AI assista ts, i he its the same bou da ies.Multi-te a cy that scales with the custome base: The publishi g featu e lets teams build co te t o ce a d publish it to eve y custome , with te a t-specific setti gs a d co ectio values applied th ough pa amete s. Spotte coachi g ca ies ac oss te a ts, a d st icte isolatio keeps each custome ’s sig -i setup sepa ate.A AI a alyst i side you p oduct, with AI-augme ted dashboa ds: With Spotte 3, e d custome s ca ask questio s i atu al la guage, d ill i to a y esult at a y level, a d act o what they fi d without leavi g the host applicatio . Spotte Memo y lea s f om past co ve satio s a d Liveboa ds, so Spotte applies the o ga izatio ’s ow defi itio s, pe so alized to each use , without bei g told each time. Th ough Spotte Co ecto s a d file uploads, use s ca a alyze data f om othe busi ess applicatio s a d thei ow files alo gside gove ed data i a si gle a swe . Spotte Viz builds a dashboa d f om a p ompt, i cludi g filte s a d scheduled delive ies, a d I sight Tiles add dy amic summa ies that update as use s filte . These e ha ceme ts d ive adoptio a d ope ew eve ue-ge e ati g oppo tu ities fo ThoughtSpot Embedded custome s.Age tic AI, MCP, a d age t-to-age t o chest atio suppo t: Th ough MCP, AI assista ts a d custom age ts such as Claude a d ChatGPT ca que y gove ed ThoughtSpot data, with the same sema tic model a d secu ity behi d eve y a swe . Expa ded Spotte APIs, cove i g co ve satio ma ageme t, i st uctio s, a d age t-to-age t o chest atio , let develope s co t ol embedded Spotte o embed its a alytics skills i to age ts of thei ow .Built fo how e gi ee i g teams wo k: A alytic co te t, data models a d co ectio s live as code i TML with GitHub i teg atio , so a alytics follows the same elease p ocess as the est of the p oduct. Spotte Code builds embeds f om develope s’ ow codi g tools, a d Muze Studio p ovides code-level co t ol ove i dividual cha ts.
P oduct builde s should ’t have to spe d sca ce e gi ee i g time mai tai i g a sema tic laye , secu ity, a d multi-te a cy that do ’t set thei p oduct apa t. By taki g that o , we help them go to ma ket faste with age tic SDLC, stay focused o thei oadmap, a d c eate ew eve ue st eams f om age tic capabilities that a e pa t of thei p oduct as opposed to bolted o ,” said Bha gav Addala, SVP P oduct Ma ageme t at ThoughtSpot. “This ecog itio f om Nucleus Resea ch eflects the wo k we have do e alo gside custome s like Ve isk, Nava a d Th ive Lea i g, a d we look fo wa d to co ti ui g to be a i ovatio pa t e i helpi g i dust y leade s powe thei i tellige t expe ie ces.
To ead the epo t a d lea why Nucleus Resea ch ecog ized ThoughtSpot as a ma ket leade , visit us he e. To explo e ThoughtSpot Embedded, visit us he e.
ThoughtSpot is a Data a d AI platfo m compa y. Ou missio is to c eate a mo e fact-d ive wo ld. Built o a age tic sema tic laye a d e te p ise-g ade gove a ce, ThoughtSpot Age tic A alytics b i gs togethe a team of specialized age ts that delive t usted a swe s a d take actio o busi ess data. ThoughtSpot Embedded b i gs the same age t-powe ed a alytics i to a y p oduct with a few li es of code. With Age tSpot, ThoughtSpot b i gs Multiplaye AI to the e te p ise, whe e a yo e ca build age ts, wo kflows a d apps g ou ded i busi ess data a d sha e them ac oss the o ga izatio . I dust y leade s i cludi g Lyft, U ileve , Roche, Sch eide Elect ic, Booki g.com a d HubSpot ely o ThoughtSpot to tu data i to measu able busi ess outcomes. A Ga t e MQ leade with mo e tha 1000 custome s globally, with offices i Sa F a cisco, Mou tai View, Chicago, Lo do , Ba galo e, Hyde abad, T iva d um, Syd ey & Tokyo.
