Nezve Syntho

Wana rumwe ruzivo nezve Syntho, kukosha kwayo uye timu

Nezve Syntho

Wana rumwe ruzivo nezve kambani yedu

Syntho iAmsterdam-based company inoshandura tech indasitiri neAI-yakagadzirwa synthetic data. Semutungamiri anotungamira wekugadzira data software, chinangwa cheSyntho ndechekupa simba mabhizinesi pasi rese kugadzira uye kukwirisa emhando yepamusoro Synthetic Data pachiyero.

Syntho inogadzirisa matambudziko matatu makuru ekuwana data:

AI-yakagadzirwa data yeanalytics: Tedzera maitiro ezviverengero, hukama, uye hunhu hwe data rekutanga mudhata rekugadzira rine simba reartificial intelligence (AI) algorithms. Vatengi vanogona kugovera data rekugadzira uye kuishandisa kune AI modhi.
Smart de-identification: De-identification inzira inoshandiswa kuchengetedza ruzivo rwakadzama nekubvisa kana kugadzirisa ruzivo rwunozivikanwa nemunhu (PII) kubva mudhatabhesi kana dhatabhesi.
Test data management: Wedzera data rekugadzira mune yakasimba mhinduro yekuve nechokwadi chekuvanzika kwedata, huchokwadi, uye kushandiswa munzvimbo dzekuyedza. Nekugadzira echokwadi synthetic datasets, inogonesa kuyedzwa kwakazara uku uchichengetedza ruzivo rwakadzama, kukurumidza kutenderera kutenderera, uye nekugonesa kugovera zviwanikwa.

Inzwa wakasununguka kuongorora zvinyorwa zvedu zvechigadzirwa kana taura nesu kuti tiratidze.

Zvatinoita: AI Yakagadzirwa Synthetic Data pachiyero

Syntho, kuburikidza nezvayo Syntho Engine, ndiye anotungamira mupi weSynthetic Data software uye akazvipira kugonesa mabhizinesi pasi rese kugadzira uye kushandisa emhando yepamusoro Synthetic Data pamwero. Nekuita kuti data rekuvanzika riwanikwe uye riwanikwe nekukurumidza, Syntho inogonesa masangano kuti akurumidze kutorwa kweruzivo rwunofambiswa nedata. Saizvozvo, Syntho ndiye anokunda ane mukurumbira Philips Innovation Award, UNESCO Challenge pa VivaTech uye yakanyorwa seGenerative AI yekutanga "kutarisa" nayo NVIDIA. Saka, sei uchishandisa data chaiyo iwe uchigona kushandisa synthetic data?

Tsika dzedu

utsanzi

Innovation yakakosha kukosha kweSyntho uye simba rekufambisa riri shure kwekubudirira kwedu. Isu tinoedza kushandisa simba rekuvandudza kugadzira akasiyana uye anovimbisa mhinduro dzinotisiyanisa kubva kune vatikwikwidza uye kuwedzera mikana yedu yekuzadzisa zvinangwa zvedu.

Privacy

PaSyntho, isu tinobata zvakavanzika seyakakosha kukosha. Isu tinonzwisisa kukosha kwakakosha kwekuchengetedza zvakavanzika uye chengetedzo yedata remunhu. Ndosaka mhinduro dzedu dzesoftware dzakanyatso gadzirirwa kugadzirisa matambudziko ekuvanzika kwedata ayo masangano anotarisana nawo, achipa vatengi vedu chivimbo nerunyararo rwepfungwa rwavanoda kuti vashande zvakachengeteka.

Collaboration

Kudyidzana kuri pamwoyo paSyntho. Tinoziva simba rekushanda pamwe chete nekutsigirana kuti tibudirire pazvinangwa zvedu nezvinangwa zvedu zvinobudirira. Isu tinokoshesa kushandira pamwe mukati mechikwata chedu uye nevatengi vedu uye vatinoshanda navo, uye takazvipira kusimudzira nharaunda inokurudzira kutaurirana kwakavhurika, kuremekedzana, uye kushanda pamwe kunobudirira.

vanhu

PaSyntho, tinotenda kuti vanhu ndivo pfuma yedu yakakosha. Chikwata chedu, vatengi, uye vatinoshanda navo ndivo vari kukurudzira kubudirira kwedu. Isu takazvipira kugadzira nharaunda inoisa pamberi pekugara zvakanaka uye basa-hupenyu hwebasa revashandi vedu, kusimudzira tsika yakanaka uye inotsigira yekambani inosimudzira kukura kwemunhu nehunyanzvi, inokurudzira hunyanzvi uye hunyanzvi, uye kupemberera maonero akasiyana uye mamiriro ehupenyu hwedu. team.

Sangana nechikwata

Marijn ane ruzivo rwekombuta sainzi, engineering yeindasitiri nemari uye anga achishanda semupi wezano mundima dzekuchengetedzwa kwecyber uye data analytics.

Wim Kees ane nhoroondo mune zvehupfumi, zvemari uye zvekudyara uye ane ruzivo mukugadzirwa kwechigadzirwa (kusanganisira software) & zano.

Simon ane dzidzo muhungwaru hwekugadzira uye ruzivo mukudzidza kwemichina. Semusayendisiti wedata akashanda nehuwandu hwe data mukati memakambani akasiyana siyana.