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Image Credits:Protecto(opens in a new window)
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[Slide 10] Competitive alternatives are a great way to look into competitive landscapes.Image Credits:Protecto
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[Slide 11] A rock-solid team slide.Image Credits: Protecto
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[Slide 5] Take sensitive, private data. Replace with similar, fake data. Makes sense to me.Image Credits: Protecto
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[Slide 8] That’s not a case study.Image Credits: Protecto
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[Slide 14] Almost completely irrelevant information.Image Credits: Protecto
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[Slide 12] This go-to-market is too vague.Image Credits: Protecto
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In an earned run average where data is Billie Jean King and its loudness and complexity are exploding , Protectoaims to do away with the long - stand dilemma stage business face between leveraging AI ’s power while see data privacy . As the acceptance of generative AI tools like ChatGPT skyrockets , wayward data point becomes easier to find , operation and do naughty thing with . Protecto ’s APIs are design to protect sensitive data point across the AI aliveness hertz while maintaining its utility .
The company announced it raised a$4 million semen support roundled by Together Fund , with contributions from Better Capital , FortyTwo VC , Arali Ventures and Speciale Invest . This round boost Protecto ’s total support to $ 5 million .
We ’re looking for more unique pitch decks to tear down , so if you want to submit your own , here ’s how you could do that .
Slides in this deck
Protecto made redactions to the shortsighted - term and five - yr goals and to specific details of the penny-pinching - terminus Cartesian product roadmap before submitting its deck of cards to TechCrunch . The timeline for the goals and milestones related to the semen support round was also redacted . Still , there ’s peck to learn from the 14 - slide deck :
Three things to love about Protecto’s pitch deck
There ’s alotmissing from this deck , but there are some good things to spotlight , too .
Competitive alternatives
This microscope slide does n’t talk about lineal competitors ( there are one or two ) . But the company does a good line showing this information anyway :
Competitive option are businesses , methods or overture that are dissimilar from yours but that satisfy the same customer needs or solve the same problem . For instance , if you operate a coffee shop , a direct rival would be another coffee shop , while a militant alternative might be a teahouse or a fast - food eating house that also sells deep brown among other beverages . These competition matter because they represent alternative solution for your customers , highlighting the grandness of understanding broader market moral force and client preferences .
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Understanding and analyzing these competitive alternatives can be powerful as an extra layer of insight , bring out likely opportunities for distinction and helping to name unmet client needs . Having said all of that , Protecto should have included lineal competitor , but this slide is still a neat example of how a startup can explore its position in the securities industry .
Helloooo, team
This squad chute is so hearty — the only downside is that they put it as the eleventh glide :
To stand out in a suddenly crowded AI space , you ’d intimately bring receipt that show you ’ve got the chopper to rip it off . The left - script side of the slide has too much info ( why are funding , product and client on the team slide ? ) but the part on the right wing has a ton of great selective information .
According to his LinkedIn , CEO Amar Kanagaraj spend almost eight years at Microsoft , including a stint in hunt and AI . CTO Baskaran Alagarsamy spend seven twelvemonth as a “ managing director ” at Apple India . I ’d have loved to see more detail on on the dot what he was managing there ( and why this slide says 18 eld , while his LinkedIn enounce seven years ) , but this is the beginning of a really satisfying squad . If I were induct in this space , a team of this caliber would offend my interest group and I would probably set up a meeting .
An elegant solution
Privacy and AI can get mentality - achingly complicated , tight . I apprize Protecto ’s efforts to simplify it to a power point where most people can sound what ’s croak on in the technical school .
Three things that Protecto could have improved
sales talk deck pattern is n’t usually that important , but the design of this pack of cards is in particular bad . There are also far more serious flaws hidden among these page .
These case studies aren’t case studies
In a 14 - lantern slide pack of cards , Protecto waste swoop 4 as an interstitial ( it just state “ our platform ” ) . It then wastes two coast with the title “ case studies . ” However , a more precise term would be “ use cases . ”
A full instance study would include a lot more information about how successful it was ( did the production follow in removing all the secret data ? How was that measure ? ) , how long it took to integrate , and how glad the client was with the solution . Slide 9 is another “ case study ” that is like : a use example , not a case study .
The headline of a swoop is a hope the rest of the slide has to fulfill . In this case , I was allow down both times , expecting one type of information and get another . Proper face studies would have been really helpful in telling the chronicle here .
Not a great “use of funds” slide
Redactions aside , there ’s not much here .
The company define out to raise $ 3 million . The use of funds , however , is so fluffy ; every hummer point here makes me need to ask : “ But how do you know it is go ? ”
Basically , all of this is just incorporated - grade jargon . Even if the founder themselves purchase it , investors probably wo n’t .
Yes , it ’s scary to get predictive and specific . What if you break ? All plans and projection are forecasting . We bed . The investor know . The point is to show how you ’re cogitate through these predictions ; investor can learn a lot about you as a founding father . That ’s extremely valuable — and not optional .
This is a brainstorm, not a plan
There ’s a phone number of trouble with this slide . The company is argue it will rise through mathematical product - led growth . That ’s great and all , but that rarely work in closing off — it needs to be done in conjunction with other marketing channel . “ If you ramp up it , they will come ” is not a thing in the crowd inauguration ecosystem .
I would require to know what these consolidation actually mean , and how client find them . I ’d care to sympathize how Snowflake and Databricks toy into this program . And what it is imagining with “ solution integrators ” ?
This microscope slide is a pile of word on a pageboy , not an actionable , measurable go - to - marketplace programme .
And then there ’s all the clobber missing from the deck overall …
The problem with this deck overall is that it does n’t explain why this job is hard to solve and why this company is the one to puzzle out it . Maybe it ’s overly simplified in the deck , but just based on what ’s here , I think I could round up a handful of developer and build most of this merchandise over the yoke of a couple weeks . That can not be dead on target , can it ? Because if so , there ’s nothing here . But since that ’s probably not the case , it intend that there ’s just a problem with the storytelling . Yes , this is a grown problem ; now explicate why it ’s a hard - to - solve problem .
The full pitch deck
If you want your own pitch pack of cards teardown have on TechCrunch , here ’s more information . Also , check outall our Pitch Deck Teardownsall collected in one ready to hand home for you !
