Kasspe pai s a p op ieta y AI age t stack with a huma Neva i ope ato o eve y pla , a d is built to move f om sig -off to a fi st booked meeti g withi two weeks athe tha the six-week amp typical of t aditio al outbou d p og ammes.
The expe ie ce fo clie ts is delibe ately simple: they ope thei cale da a d see qualified meeti gs. Behi d the sce es, Kasspe sou ces a d ve ifies co tact data, w ites a d se ds pe so alised out each ac oss email a d Li kedI , keeps messages la di g, a d outes i te ested eplies st aight i to the dia y.
Kasspe is ot a g ee field expe ime t. The se vice p oductises the outbou d systems Neva i built, automated a d efi ed fo its ow busi ess developme t, bo of the fi m’s fi st-ha d expe ie ce of spe di g heavily o i te al SDRs, exte al age cies a d disco ected softwa e platfo ms that failed to delive .
Fou de s p epa i g a aise face the same st uctu al p oblem as sales teams: ge e ic pitches ble d i to c owded i vesto i boxes, ma ual esea ch is slow a d low-yield, a d past co ve satio s go cold without co siste t follow-up.
Kasspe applies its co e methodology, buye i te t sig als, out each volume a d hype -pe so alisatio , to both p oblems. Fo fu d aisi g, it systematises i vesto ide tificatio , qualificatio a d pe so alised out each, a d uses t a sc iptio -based follow-up to keep histo ical i vesto elatio ships wa m, so that aisi g capital happe s i pa allel with buildi g the busi ess athe tha i stead of it.
At the co e of the platfo m is a sig al e gi e that t acks whe a pote tial buye o i vesto e te s a buyi g state, mo ito i g i e catego ies of i te t sig al: job cha ges, fu di g ou ds, competito e gageme t, ews me tio s, hi i g spikes, eve t activity, co te t e gageme t, membe ship of eleva t p ofessio al g oups, a d accepted co ectio equests. These sig als shape who is co tacted, whe , a d with what message.
Wa m Leads i side Kasspe : co tacts su faced by live i te t sig als, each with a sco e a d the easo they a e wa m.
O ce clie ts a e wo , the same e gi e flags ea ly i dicato s of chu , such as egative se time t detected i meeti g t a sc ipts o equests that go u a swe ed, givi g teams the cha ce to i te ve e befo e a elatio ship is lost.
Because eve y message goes out i the clie t’s ame, huma ove sight is built i athe tha bolted o . A Neva i ope ato eviews a d t iages eve y eply, out each is tu ed to each clie t’s b a d voice, a d othi g is se t that eads like a bot. Fo fou de s whose eputatio with i vesto s is the asset, that ove sight is the poi t.
Kasspe ‘s comme cial model depa ts f om softwa e co ve tio . Clie ts pay fo se di g capacity athe tha seats:
o pe -seat cha ges, o mailbox fees a d o setup fees;
co tact e ichme t beyo d the i cluded mo thly allowa ce p iced at cost, flat ac oss eve y tie ;
pla s f om £1,000 pe mo th, with mi imum te ms measu ed i mo ths athe tha yea s;
e te p ise p og ammes ta geti g mo e tha 80 qualified meeti gs pe mo th.
Booked meeti gs a d qualified leads flow di ectly i to HubSpot, Piped ive, Salesfo ce o Go High Level th ough ative i teg atio s at the eleva t tie s.
Neva i is a AI- ative e te p ise i f ast uctu e fi m ope ati g at the i te sectio of St ategy, Gove a ce, T ust a d A tificial i tellige ce, embeddi g AI di ectly i to decisio -maki g a d ope atio al wo kflows to d ive measu able, eal-wo ld outcomes fo o ga isatio s.
Headqua te ed i the UK with p oducts available globally, Neva i wo ks with clie ts ac oss ve tu e capital, p ivate equity a d FTSE- a d S&P-listed o ga isatio s, a d mai tai s a co ti uously mo ito ed complia ce p og amme th ough its Global Pa t e s. Its wo k has bee i depe de tly ecog ised with multiple awa ds, i cludi g a 2026 Global Recog itio Awa d a d ho ou s at the 2026 Best Busi ess Awa ds.
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