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[Slide 3] The problem impact slide tells a great story.Image Credits: Fifth Dimension AI
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[Slide 5] So why couldn’t you just use OpenAI?Image Credits: Fifth Dimension AI
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[Slide 11] Assuming that the core tech is transferable, this is a great way to show the company’s growth ambitions.Image Credits: Fifth Dimension AI
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[Slide 7] Redactions aside, this slide raises more questions than answers.Image Credits: Fifth Dimension AI
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AI is an interesting space to be in , peculiarly with a few major player on the market . The name of the plot for Fifth Dimension is to find hard points of differentiation from the oecumenical purpose AIs on the market and a hard go - to - market story that sets them apart . Does Fifth Dimension have those things ? Let ’s find out !
We ’re look for more unique pitch decks to tear down , so if you want to take your own , here ’s how you may do that .
Slides in this deck
Fifth Dimension AI used a tight 13 - lantern slide deck to raise its round . The deck is almost as shift , but the team did remove some of the customer logos and client quotes , as it prefer to keep those tightlipped to their vest . Here are the slides :
Three things to love
AI is a disorderly free - for - all right now , specially when it comes to the fundraising cycles . Data from PitchBook show thatfundraising for AI startupsis outpacing every other ship’s company vertical at the moment . Still , you do have to stand out somehow . Here are some of the highlights from Fifth Dimension ’s deck of cards :
Bringing the problem to life
I love that the company used quotes to help give the trouble some three - dimensionality :
The very abbreviated snipping of stories are representative of admin and analytical work across XII of professions . It ’s precisely the sort of work computer aremeantto be good at . That ’s the market place the company is wading into .
This also is a great example of using benefits - forward storytelling : You ’re not sell an LLM or a practical supporter . You ’re deal a result to some very specific job , experience by intelligibly delineate target audiences .
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Consider the undermentioned playground slide a masterclass in “ show , do n’t order ” :
Decent differentiation
OpenAI is a formidable contender , as is IBM ’s Watson , as are oodles of other platform . The motion becomes : How can a tiny inauguration with $ 3 million in the camber stand out ? Well , small genuine estate companies are unlikely to write their own code to tailor-make the big platform . An off - the - shelf small tool , pretrained and customise to the employment case , may have a fighting fortune by selling a more target , niche product into upright where it can get some foothold . It ’s a high - risk approach path ; the other platforms are rolling out feature film sets at quite a clip , and their tremendous economies of scale mean that they are ordinarily very cheap .
As a information point , a tool I built that ’s now analyzed tight to 1,000 pitch deck , has used less than $ 25 worth of AI credit entry to do it , in totality . When the competitors are almost unfathomably cheap , you ’d best have a strong differentiator , because you are n’t give way to be contend on price .
Adjacent-market sizing
Fifth Dimension does something very canny on slides 10 and 11 : It shows that the first grocery it is last after is tremendous , but it cause the argument that the adjacent markets that this unlocks are even bigger . The company total dangerously near to butterfly with being unfocused , but that notice aside , this is very well done :
Now , there are company progress AI puppet in each of these verticals . Findable is work up a solutionfor proptech , Likely AIandHouseCanaryare doing it for real estate , and the finance industry ? Well , there ’s no shortage of tools for that market place , and as we ’ll get to in just a moment , Fifth Dimension fail to add together a rival sloping trough to its slide deck .
There are a few red-faced flags in the deck of cards , which would give me a mountain of interruption as a likely investor . In the rest of this teardown , we ’ll take a expression at three things Fifth Dimension AI could have improved or done differently , along with its full tar deck !
Three things that could be improved
There ’s a hatful of things right with Fifth Dimension ’s pack of cards , but there are a few major offspring as well .
What about the competition?
Every high - data industry is a potential target for AI , and we are headed toward a startup bloodbath . If you ’re break to build something in this space , you ’d best screw who your competitors are — and be well separate from them . The absence of a competitive landscape microscope slide is pretty much inexcusable . It means one of three things : The troupe does n’t think it has competitors ( that ’s bad ) , it ’s scared of the competitor ( also not great ) , or the founding team is unsophisticated enough that it does n’t think it need to spill the beans about the contention .
Dismal traction slide
You ca n’t say you ’ve signed up your first five paying customers and then not report how much they are paying and how the revenue is rise over time . sure enough , the company only has three month ’ worth of datum , but slap it in a spreadsheet and change state it into a chart .
“ We have paying client ” and then not enjoin how much revenue you are making is begging for some in - profundity diligence and crabbed - test .
Doing 30 research interviews is a bare lower limit . No gold virtuoso ; that ’s literally the very least you could do as a founding father .
And finally , “ developed a sales grapevine ” is the fuzziest , fluffiest grip metric function I ’ve envision in a while . What ’s the time value of the pipeline ? How many client are change over ? There ’s so much datum miss here that my Spidey senses are tingling .
A suspicious fuzziness on the tech side
It ’s indecipherable what the technology advantage is in this case . The company vaguely hints at proprietary data on itsmoatslide , but it does n’t say anything about whether it built its own role model or if it is using a customized off - the - ledge AI resolution . If I squint , I see a companionship here that I could well replicate in a month of growth .
The company does n’t really describe anything that ’s hard or unequaled . That ’s clear me scared : Most of the AI decks I see these days have an obvious advantage due to proprietary , defensible engineering . There ’s none of that present tense here . Before I ’d consider investing , I ’d postulate to do a deep prima donna on the tech .
startup postulate to explicate why what they ’re doing is moderately severe to replicate . The real land market is huge , cutthroat , and has some major players in it ( doa quick Google search for material estate CRM , and you ’ll see what I mean ) . If this tech is built on top of something like OpenAI , you ’d better conceive that any of the big CRM companies with product focused on the real estate market will have competing solutions on the marketplace before long . The scary reward that these officeholder have is that they alreadyhavethe client foot , so they start with a tremendous head start .
The full pitch deck
If you want your own Pitch Deck Teardown featured on TC+,here ’s more information . Also , control outall our Pitch Deck Teardowns and other pitch advice , all collected in one ready to hand place for you !
