New applicatio b i gs togethe stochastic loss a d deal modeli g with i vesto epo ti g i a si gle, i teg ated wo kflow, helpi g teams make mo e i fo med, faste decisio s
NEW YORK, Oct. 21, 2026 (GLOBE NEWSWIRE) — Ko a, the ope SaaS platfo m powe i g p ope ty a d casualty (P&C) ei su a ce a d i su a ce-li ked secu ities (ILS) t a sactio s, today a ou ced the lau ch of Ko a Deal A alysis, a applicatio that helps ma ket pa ticipa ts a alyze the qua titative a d qualitative aspects of casualty, o -catast ophe p ope ty, a d specialty ei su a ce a d ILS oppo tu ities.
Deal A alysis e ables cedi g ( e)i su e s, MGAs, f o ti g ca ie s, a d the ei su a ce b oke s who ep ese t them to st uctu e, p ice, a d publish fo mal isk a d i vestme t epo ts fo thei ma keti g. O the capital side, ILS i vesto s a d collate alized ei su e s ca use the same a alytical f amewo k to evaluate ei su a ce submissio s o eco omic te ms like IRR a d MOIC i stead of accou ti g met ics like combi ed atio. They ca assess isk eliably by usi g t a spa e t, back-tested stochastic models that a swe impo ta t questio s about the p obability of dow side sce a ios.
“St uctu i g a d evaluati g a ILS t a sactio equi es u de sta di g ot o ly what losses may look like, but how they develop ove time, flow th ough the deal st uctu e, a d affect each pa ty’s eco omics,” said Kyle Saf a , Head of Data Scie ce at Ko a. “Deal A alysis b i gs those pieces togethe — loss modeli g, ei su a ce st uctu e, collate al equi eme ts, capital st uctu e, a d i vesto etu s — i a t a spa e t modeli g e vi o me t whe e ei su a ce b oke s a d capital p ovide s ca test assumptio s, compa e alte ative st uctu es, a d u de sta d the dist ibutio of pote tial outcomes. This gives teams a ite ative a d explai able way to p ice isk, st uctu e t a sactio s, a d assess deal viability.”
Deal A alysis uses AI to ext act key i fo matio a d histo ical loss t ia gle data f om ei su a ce submissio s, helpi g teams quickly eview a d st uctu e the histo ical expe ie ce eeded fo a alysis. Histo ical pe fo ma ce ca be viewed i i sightful ways usi g a p op ieta y g aphics lib a y, a d use s ca access Ko a’s deep database of i dust y pe fo ma ce to compa e a d ble d data.
F om the e, teams ca use that histo ical data to model p ospective losses usi g a va iety of methods, f om t aditio al actua ial tech iques to Ko a’s mode , hie a chical Bayesia models that p ovide full p obability dist ibutio s of futu e loss atios. Ko a’s Bayesia loss models a e based o published, pee – eviewed methodologies, a d a e desig ed to wo k with the thi histo ical data ofte p ovided by MGAs by i co po ati g p io s i fo med by i dust y data.
Afte modeli g losses, use s ca test alte ative t a sactio st uctu es a d model i vesto s’ MOIC, a d IRR. A alysis a d fo ecasted esults ca the be packaged i to i vesto – eady epo ts, givi g teams a co siste t way to commu icate the assumptio s, eco omics a d pote tial outcomes of a t a sactio .
“As alte ative capital takes a la ge sha e of ei su a ce, b oke s a d i vesto s eed bette tools to evaluate isk a d t a sactio eco omics,” said Me edith Ba es-Cook, Se io P i cipal at Datos I sights. “Platfo ms that b i g actua ial modeli g, deal st uctu i g, a d i vesto epo ti g i to o e e vi o me t make these t a sactio s easie to assess, compa e, a d explai .”
Afte a deal goes live, the data a d i sights ge e ated du i g the i itial evaluatio a e ca ied fo wa d i the Ko a platfo m a d made available as claims develop, suppo ti g o goi g deal a d po tfolio pe fo ma ce mo ito i g a d co ti uous evaluatio of the t a sactio , as well as bette -i fo med e ewal decisio s.
“Risk o igi ato s a d capital p ovide s a e ultimately looki g at the same u de lyi g isk f om diffe e t pe spectives, yet much of the a alysis still happe s th ough disco ected sp eadsheets, static epo ts a d ma ual wo kflows,” said Umai Rasool, Ge e al Ma age of Ko a. “Deal A alysis gives both sides a mo e t a spa e t a d epeatable way to model isk, evaluate t a sactio eco omics a d alig o deal te ms. By b i gi g those wo kflows togethe o the Ko a platfo m, we’ e c eati g a st o ge a alytical fou datio fo co ecti g isk with capital.”
To lea mo e about Ko a Deal A alysis a d watch a p oduct demo video, visit
Ko a is a ope SaaS platfo m p ovidi g ( e)i su e s, ma agi g ge e al age ts (MGAs), ei su a ce b oke s, a d i stitutio al i vesto s with a e d-to-e d suite of applicatio s a d AI-d ive wo kflows to evaluate, p ice, epo t o , a d ma age ei su a ce a d i su a ce-li ked secu ities (ILS) t a sactio s. Ko a’s i teg ated data a d a alytics capabilities, built by the team that pio ee ed the casualty ILS ma ket, make isk t a sfe a d post-t a sactio p ocesses mo e sta da dized, efficie t, a d i tellige t. With a missio to b i g g eate t a spa e cy to p ope ty a d casualty (P&C) i su a ce isk, Ko a helps isk o igi ato s st eamli e access to b oade a d mo e dive se sou ces of capital while p ovidi g collate alized a d t aditio al ei su e s a d i stitutio al i vesto s with a way to ealize att active etu s eliably a d at scale. Fo mo e i fo matio o Ko a, visit www.ko a.com a d follow us o Li kedI a d X.
Rob Savitskyp @ko a.com
