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Home Artificial Intelligence

8thElement and Synthesized Partner to Industrialize Enterprise AI with AI-Native Test Data Automation

July 21, 2026
in Artificial Intelligence, GlobeNewswire, Web3
Reading Time: 10 mins read
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Lo do , GREATER LONDON, July 20, 2026 (GLOBE NEWSWIRE) — Sy thesized, a AI- ative test data automatio platfo m, today a ou ced a st ategic pa t e ship with 8thEleme t, the AI co sulta cy behi d the AIM (Assess, Impleme t, Matu e) f amewo k.

8thEleme t a d Sy thesized Pa t e  to I dust ialize E te p ise AI with AI-Native Test Data Automatio

Sy thesized pa t e s with 8thEleme t to I dust ialize E te p ise AI with AI-Native Test Data Automatio

U de the pa t e ship, Sy thesized will become 8thEleme t’s p efe ed test data automatio pa t e . Its tech ology will be available th oughout AIM e gageme ts, p ovidi g e te p ises with a gove ed oute f om i itial AI assessme t to p oductio deployme t a d co ti uous imp oveme t.

The joi t offe i g is desig ed to help o ga izatio s test models, age ts, a d wo kflows usi g p oductio – ealistic data without copyi g se sitive p oductio data i to o -p oductio e vi o me ts. It suppo ts SAP a d o -SAP la dscapes, i cludi g SAP S/4HANA mig atio s, applicatio -mode izatio p og ams, a d age tic AI deployme ts.

Add essi g the e te p ise AI testi g gap

Ma y e te p ise AI pilots pe fo m well agai st clea , ca efully selected datasets but e cou te difficulties du i g impleme tatio . P oductio data may be est icted to secu e e vi o me ts, co ve tio al maski g ca dis upt elatio ships betwee eco ds, a d sy thetic datasets may ot accu ately eflect eal-wo ld dist ibutio s o edge cases.

These limitatio s ca p eve t teams f om testi g AI systems agai st the a e, skewed, a d complex sce a ios that eveal bias, d ift, a d b ittle behavio .

8thEleme t’s AIM f amewo k p ovides a outcome-based st uctu e fo taki g AI i itiatives f om assessme t th ough impleme tatio to ope atio al matu ity. Sy thesized adds automated, gove ed test data desig ed to p ese ve the statistical cha acte istics a d efe e tial i teg ity equi ed fo ealistic testi g.

Togethe , the compa ies aim to ide tify data- eadi ess isks ea lie , sho te testi g cycles, a d suppo t co ti uous validatio as e te p ise AI systems evolve.

How Sy thesized suppo ts the AIM lifecycle

Assess: Sy thesized’s schema i tellige ce helps ide tify se sitive data, elatio ships, a d quality issues ac oss SAP a d o -SAP e vi o me ts. These fi di gs i fo m 8thEleme t’s assessme t of data, model, p ocess, a d gove a ce eadi ess, e abli g teams to add ess pote tial impleme tatio isks ea lie .

Impleme t: Models, age ts, a d wo kflows ca access p oductio – ealistic test data o dema d. Sy thetic a d masked datasets etai efe e tial i teg ity while educi g the eed to place p oductio copies i o -p oductio e vi o me ts. Automated audit t ails also p ovide evide ce fo gove a ce a d eview p ocesses.

Matu e: Co ti uous test data p ovisio i g suppo ts eg essio testi g, d ift detectio , a d o goi g validatio as systems cha ge. This applies ac oss softwa e eleases, S/4HANA mig atio stages, a d expa sio s of age tic AI wo kflows.

Gove a ce a d egulato y alig me t

The joi t offe i g is desig ed to educe the exposu e of se sitive i fo matio by keepi g p oductio data withi secu e e vi o me ts a d p ovidi g sy thetic o masked data fo developme t a d testi g.

These capabilities ca suppo t o ga izatio al p og ams add essi g GDPR, CCPA, a d HIPAA equi eme ts. Automated audit t ails a d test evide ce ca also assist cha ge-co t ol p ocesses, i cludi g those associated with SOX.

The use of sy thetic data ca educe p ivacy isk but does ot eplace a o ga izatio ’s ow legal, complia ce, o a o ymizatio eview. Releva t equi eme ts a e scoped du i g the Assess phase.

What the pa t e s a e sayi g

“Most e te p ises a e still g adi g thei AI o a test that eality eve sets,” said Sa tosh Rajput, P eside t of 8thEleme t. “A clea dataset may p ove that a model u s, but it does ot p ove that the system is eady fo p oductio . Readi ess depe ds o the quality a d ealism of the data used to validate it. By b i gi g Sy thesized i to the AIM f amewo k, we a e helpi g e te p ises close that gap a d build AI p og ams that ca scale.”

“E te p ise AI p og ams ofte st uggle because teams ca ot safely a d ealistically test systems agai st the complexity of p oductio data,” said Nicolai Baldi , CEO a d Fou de of Sy thesized. “Togethe with 8thEleme t, we a e ope atio alizi g that missi g laye . Embeddi g AI- ative test data automatio th oughout the AIM lifecycle e ables e te p ises to validate AI systems co ti uously u de ealistic co ditio s without comp omisi g p ivacy o delive y speed. That is a impo ta t step i movi g AI f om expe ime tatio to depe dable i f ast uctu e.”

Availability

Joi t AIM a d Sy thesized e gageme ts a e available immediately. I itial a eas of focus i clude test data mode izatio a d automatio p og ams, age tic AI deployme ts i egulated i dust ies, a d AI-d ive applicatio mode izatio ac oss e te p ise data estates.

Fo mo e i fo matio o to equest a b iefi g, co tact Jamie Ke epka:  jamie.ke epka@sy thesized.io.

About 8thEleme t

8thEleme t is a AI co sulta cy that helps e te p ises i dust ialize a tificial i tellige ce th ough its AIM (Assess, Impleme t, Matu e) f amewo k a d outcome-based comme cial model. The fi m wo ks with o ga izatio s ac oss fi a cial se vices, healthca e, a d SAP-d ive i dust ies to move AI i itiatives f om pilot to p oductio while delive i g measu able busi ess value.

Lea mo e at www.8theleme t.ai.

8thEleme t a d Sy thesized Pa t e  to I dust ialize E te p ise AI with AI-Native Test Data Automatio

Sy thesized AI- eady test data ma ageme t platfo m fo AI-Ready e te p ises

About Sy thesized

Sy thesized is edefi i g softwa e quality th ough AI-powe ed test data automatio . Its AI- ative test data ma ageme t (TDM) platfo m e ables e gi ee i g teams to automate the ge e atio , validatio , a d sha i g of p oductio – ealistic test data i mi utes without comp omisi g secu ity, p ivacy, o complia ce. Sy thesized platfo m u ifies SAP a d o -SAP test data ge e atio with e d-to-e d test data ope atio s, e abli g co siste t, busi ess-p ocess-d ive testi g ac oss complex applicatio la dscapes a d suppo ti g AI- eady e te p ises a d age tic QA. Recog ized as a Ga t e Cool Ve do a d a fi alist fo multiple AI i ovatio awa ds, Sy thesized se ves leadi g e te p ises i highly egulated i dust ies f om offices i Lo do a d New Yo k.

P ess I qui ies

Zoe Laycockzoe.laycock [at] sy thesized.iohttps://www.sy thesized.ioMo tacute Ya ds185-186 Sho editch High St eetLo do , E gla d, E1 6HU

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