Today I’m sharing a curated set of AI pitch decks from frontier labs like OpenAI and DeepMind to early-stage startups backed by top-tier investors.
Some of these companies are already category leaders. Others are just getting started.
But that’s exactly the point.
This is a rare chance to study how both giants and early teams think, position, and pitch when they’re trying to build something that doesn’t fully exist yet.
Most people look at pitch decks to copy slides.
That’s not the value.
The real value is understanding:
how great founders
frame a problem before it becomes obvioushow they
simplify complex technology into a clear narrativehow they
justify why this moment matters now
And in AI, this matters even more.
Because many of the things that feel “normal” today were just bold claims inside these decks a few years ago.
- other Pitch Decks from: Aisera, Arga Labs, Artificial Societies, Axle Health, Charta AI, Code Four, Epiminds, Feroot AI, Gojiberry AI, Gradient, Hedra AI, Lightsprint, MITO AI, Nas.com, Nexad AI, Octave, Omnia, Onti, Sazabi, Thomas, Trellis…
Inside this collection you’ll find:
Frontier AI companieslike OpenAI, DeepMind, Anthropic, Mistral AI, ElevenLabs and Synthesia shaping the direction of the AI industry across foundation models, voice, video and enterprise adoptionAgent infrastructure and AI workflow layerssuch as Nozomio, Aisera, Artisan, Boardy, Arga Labs and Lightsprint, showing how AI systems are becoming more autonomous, contextual and embedded in day-to-day workVertical AI applicationsacross healthcare, security, public safety and enterprise operations, including Axle Health, Charta Health, Feroot, Code Four, Sazabi and ScribeCreative and media platformslike MITO, Hedra, FLORA AI and Synthesia, building new categories around AI-native content creation, design and video productionGTM, marketing and AdTech platformssuch as Octave, Letter AI, Nexad, Omnia and Epiminds, showing how AI is reshaping sales, brand visibility, advertising and distributionEarly-stage AI startupsfrom YC and emerging ecosystems, including Gojiberry, Trellis, Thomas and others, offering a view into where the next wave of AI-native companies may emerge.
Y Combinator just backed its first AI founder.
Not a founder who uses AI → An AI that is the founder, works for itself and was given one instruction: make money.
**1. You learn how top founders think (not just what they build) → **You see how they go from insight → narrative → company.
**2. You understand what great positioning actually looks like → **Clear problem, sharp angle, strong “why now”.
**3. You get a preview of where AI is going → **Before it becomes consensus.
If you’re building in AI, these are worth studying.
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