IRVINE, Calif., Nov. 05, 2026 (GLOBE NEWSWIRE) — Cogility, develope of the Cogy t.ai Decisio I tellige ce Platfo m fo high-co seque ce decisio e vi o me ts, today a ou ced the elease of ve sio 2.23 of Cogy t.ai.
The latest ve sio co ti ues to e ha ce the AI capabilities withi Cogy t.ai — v2.23 expa ds how the platfo m i teg ates ge e ative AI ac oss model autho i g, data co ectivity, a d a alyst collabo atio , givi g teams mo e ways to apply la ge la guage models while p ese vi g the explai able, auditable fou datio of the platfo m.
Cogy t.ai v2.23 b i gs la ge la guage models di ectly i to the o-code autho i g e vi o me t. Cogy t.ai is ow available as a data sou ce by default i eve y p oject, a d eve t types ca efe e ce it to co figu e LLM p ompts a d i put pa amete s withi the model itself. Model autho s ca ow ble d ge e ative AI with the platfo m’s dete mi istic Expe t AI (HCEP) logic — e ichi g patte s with LLM-d ive easo i g while etai i g the t a spa e cy a d auditability that high-co seque ce decisio s dema d.
These capabilities exte d to the Wo kstatio chatbot as well, with imp oved t aceability of use p ompts a d model cha ges th ough clea e visual cues, so a alysts ca bette follow a AI-assisted esult was p oduced.
HTTP equests ow suppo t path a d body pa amete s a d sta da d w ite methods, e abli g iche two-way i teg atio with exte al systems a d se vices. Pa amete s a e o ga ized i a ew tabbed i te face fo easie co figu atio .
The elease makes st eami g data easie to co figu e, a d the e a e ew optio s to g oup eco ds i to a sha ed state, u statelessly fo optimized ETL p ocessi g. A ew Test Co ectio butto lets use s validate data sou ce co ectivity befo e deployme t, a d a ewo ked co st ai t-defi itio flow makes buildi g models mo e i tuitive.
A alysts ca ow post comme ts di ectly to eve ts, e abli g tighte coo di atio ac oss i vestigative teams. Wo kspace ma ageme t is also mo e flexible: a alysts ca eo de wo kspaces via d ag a d d op, assig mea i gful ico s a d colo s to sig al each wo kspace’s pu pose, a d be efit f om clea e messagi g a d st eamli ed editi g th oughout. E ha ceme ts to the Object Detail Viewe — i cludi g a “View Mo e” optio fo lo g fields a d espo sive colum ha dli g — make eviewi g eve t details faste a d easie .
Fo the full list of e ha ceme ts, see the p oduct elease otes.
Cogility develops a decisio i tellige ce platfo m fo gove me t age cies a d comme cial o ga izatio s ope ati g i complex, high-co seque ce e vi o me ts. Its Cogy t.ai platfo m helps o ga izatio s ide tify eme gi g isks, u de sta d patte s of behavio , a d make timely, high-co fide ce decisio s.
Cogy t.ai combi es pate ted Expe t AI Hie a chical Complex Eve t P ocessi g (HCEP), behavio al a alytics, o-code model autho i g, a d cloud-scale data p ocessi g to t a sfo m la ge volumes of dive se data i to explai able a d auditable i sights. Its t a spa e t, expe t-defi ed app oach e ables o ga izatio s to u de sta d how co clusio s a e eached, i vestigate the u de lyi g activity, a d mai tai huma ove sight of co seque tial decisio s.
Media Co tact: Stua t Booth, sbooth@cogility.com




 