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Ana Sayfaya Dön

AI has transformed how video is created. We think the next wave is about understanding it. Over the past few years, we've seen remarkable advances in video generation, editing, avatars, and creative tooling. An increasingly important problem is teaching machines to search, analyze, reason over, and extract insight from... video - across massive libraries and live streams alike. We're calling this video intelligence, and we're actively looking to back founders building here. We're most excited about companies pushing on the core capabilities: - Video-native models - multimodal embeddings, temporal reasoning, and retrieval built specifically for video rather than adapted from image or text - Real-time and large-scale pipelines - infrastructure for processing, indexing, and querying video at the speed and scale enterprises actually need - Agentic and reasoning layers - systems that don't just retrieve clips but answer questions, surface anomalies, and take action on what they see The models and infrastructure to make this real are appearing to be crossing a capability threshold right now. Multimodal foundation models are maturing, storage costs have collapsed, and enterprises are sitting on years of unstructured video with no way to use it. That infrastructure unlocks a wide range of applications including media and sports workflows, security and physical operations, enterprise knowledge management, advertising analytics, robotics, and consumer products, where video has historically been dark data. If you're building in video intelligence at the model layer, the platform layer, or in a vertical application, we'd love to talk!show more

Jason Cui

5,163 subscribers

36,829 görüntüleme • 5 ay önce •via X (Twitter)

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Troy Kirwin profil fotoğrafı

Troy Kirwin5 ay önce

this will unlock a wave of compelling use cases

Pradip Romay profil fotoğrafı

Pradip Romay5 ay önce

That's us, Jason. We're a game engine architect and an award-winning filmmaker building a fully agentic studio for professional video. We replace manual node workflows with an orchestration layer, and are currently experimenting with multi-sensor data capture to build 3D datasets of physical shoots, unlocking next-gen post-production capabilities.

Lester profil fotoğrafı

Lester5 ay önce

my feud with claude yesterday lol

Tom Hammer 🔨 profil fotoğrafı

Tom Hammer 🔨5 ay önce

If Blockbuster only knew what they were missing

Macy Mills profil fotoğrafı

Macy Mills5 ay önce

this background!!!!! 🔥🔥🔥🔥 let's go Jason!

Kenan Saleh profil fotoğrafı

Kenan Saleh5 ay önce

@RKRigney 🔥

speedrun profil fotoğrafı

speedrun5 ay önce

Another Jason banger

Ryan K. Rigney profil fotoğrafı

Ryan K. Rigney5 ay önce

📺 V I D E O 🧠 I N T E L L I G E N C E

Josh Lu profil fotoğrafı

Josh Lu5 ay önce

@shawntsao 👀👀

Samira Behrouzan profil fotoğrafı

Samira Behrouzan5 ay önce

here 👏 for 👏 everything 👏 video 👏 intelligence 👏

Jason Walls profil fotoğrafı

Jason Walls5 ay önce

And ffmpeg to edit

Julien Rosilio profil fotoğrafı

Julien Rosilio5 ay önce

You've literally defined our company @oriane_xyz

Andy Zhang profil fotoğrafı

Andy Zhang1 ay önce

@ramennoods_ 🔥🔥🔥

Felix Hartmann profil fotoğrafı

Felix Hartmann5 ay önce

👀 @oriane_xyz

Ruud van der Linden profil fotoğrafı

Ruud van der Linden5 ay önce

Computer vision and video-native models are making video much more understandable. Another layer I find interesting: when video is generated or assembled from structured inputs, the creation process itself becomes a source of intelligence. You know which data, rules, segments, offers, lengths, and sequences went into each version. If you then measure viewer behavior at the segment level – drop-off, skips, dwell time, replays, CTA clicks – you can learn what actually works for different audiences. That feels like a path from video understanding to self-optimizing video.

Robert Bailey profil fotoğrafı

Robert Bailey5 ay önce

Built it. Just submitted for SR007. Prismiq ingests the actual video. Visuals, audio, diarized transcript, thumbnails, channel context, genre specializations. Reasons over 11 categories, then shows the creator why they lost the click and retention, suggests the fix. Co-founder @themichaeltao co-invented iPhone Portrait Mode at Apple (8 yrs). I was an IC prototyping for Camera & Photos (6 yrs). We left Apple to build this. · DMs open

Dhanush T profil fotoğrafı

Dhanush T5 ay önce

Funny how working on this and never naming it, just calling it Infra for files or brain for world models, visual Intelligence sounds way cooler than all of that, and sir, this has a lot of upsides, storage and bandwidth reach low price, and WM becomes fast and powerful with this

Danny profil fotoğrafı

Danny5 ay önce

See you soon.

agasthya profil fotoğrafı

agasthya5 ay önce

dm me, making video editing as simple as drawing instructions on the screen ;)

faizan khan profil fotoğrafı

faizan khan5 ay önce

this is genuinely useful. As a docs vendor I will pay for this. So many use-cases are stuck in product demo videos. Would love to convert them into docs, and go the other way as well.

Dhanush T profil fotoğrafı

Dhanush T5 ay önce

I am doing exactly this, shot my chance, sir. I am already deep into this visual intelligence, hoping to join a16z and build my revolution Deep tech Infra VFS, where objects and logics are deduplicated in servers across countries and Merkle hashes attached for AI. I will do this

Malika Aubakirova profil fotoğrafı

Malika Aubakirova5 ay önce

Lets go! 🔥

Chandan Galani profil fotoğrafı

Chandan Galani5 ay önce

We are building at Execution LAyer !!!

Andy Zhang profil fotoğrafı

Andy Zhang5 ay önce

@andrewchen 🔥🔥🔥

Sumon Sadhu 🌏 🐯 profil fotoğrafı

Sumon Sadhu 🌏 🐯5 ay önce

See

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eComrads

457,726 görüntüleme • 3 ay önce

Shaun Maguire on SpaceX IPO: "Starship is the railroad to space." "In 2019, it was very predictable that Starlink would work and produce a massive amount of revenue, and we called that right." "We're now in a very similar point to where Starlink was in 2019 with AI infrastructure and orbital compute." "I think people are really underestimating how far along the orbital compute product is right now." On the $22 trillion TAM: "What do you think is the TAM for intelligence? What's the TAM for all compute infrastructure 50 years from now?" "People are underappreciating how much infrastructure is going to be built in space and how much easier it is to access energy in space." "We're at the beginning of this AI era, and we're going to double or triple the total amount of intelligence that we have access to over the next decade — so yes, I absolutely believe in the TAM, and I would even argue it's an underestimate." How much is the "railroad to space" worth in the era of AI and orbital compute? Now imagine the railroad company also owns the AI and the orbital compute. Elon Musk Shaun Maguire

Shaun Maguire on SpaceX IPO: "Starship is the railroad to space." "In 2019, it was very predictable that Starlink would work and produce a massive amount of revenue, and we called that right." "We're now in a very similar point to where Starlink was in 2019 with AI infrastructure and orbital compute." "I think people are really underestimating how far along the orbital compute product is right now." On the $22 trillion TAM: "What do you think is the TAM for intelligence? What's the TAM for all compute infrastructure 50 years from now?" "People are underappreciating how much infrastructure is going to be built in space and how much easier it is to access energy in space." "We're at the beginning of this AI era, and we're going to double or triple the total amount of intelligence that we have access to over the next decade — so yes, I absolutely believe in the TAM, and I would even argue it's an underestimate." How much is the "railroad to space" worth in the era of AI and orbital compute? Now imagine the railroad company also owns the AI and the orbital compute. Elon Musk Shaun Maguire

KanekoaTheGreat

39,709 görüntüleme • 4 ay önce

In the next 2-3 years, the skills you need to build an ETL process will fundamentally differ from anything we've done in the last decade. The EXTRACT and LOAD steps of an ETL pipeline have been solved forever. They are boring, and I suspect they will continue to be boring. But the TRANSFORM step is where the money is at (and where innovation will continue happening!) An ETL pipeline that can use Large Language Models effectively to transform data is a whole new ballgame. I recorded a video to talk about this. And more importantly, I talk about how you can build ETL pipelines to transform UNSTRUCTURED data (the kind of data that's really hard to handle).

In the next 2-3 years, the skills you need to build an ETL process will fundamentally differ from anything we've done in the last decade. The EXTRACT and LOAD steps of an ETL pipeline have been solved forever. They are boring, and I suspect they will continue to be boring. But the TRANSFORM step is where the money is at (and where innovation will continue happening!) An ETL pipeline that can use Large Language Models effectively to transform data is a whole new ballgame. I recorded a video to talk about this. And more importantly, I talk about how you can build ETL pipelines to transform UNSTRUCTURED data (the kind of data that's really hard to handle).

Santiago

56,412 görüntüleme • 1 yıl önce

This is how you build the next generation of AI applications. You need an idea, a good model architecture, and a great harness. That's what MUZIM did. It's an app that runs local multimodal and vision models offline to parse and index your images, videos, and documents frame by frame. • Super fast on-device processing • On-device video & image understanding • You can also bring your API keys for heavy reasoning • Your data stays where it is / nothing goes to the cloud You can do a couple of things with this: 1. Vibe searching for whatever you remember in photos or raw video clips. The app will jump straight to the exact frame and timestamp of the video. This is search as it should be. 2. Use local-running agents to perform tasks on your files. I show a couple of examples in my video. You can check it out here: Thanks to the MUZIM by OpenSoul team for showing me the tool and partnering with me on this post.

This is how you build the next generation of AI applications. You need an idea, a good model architecture, and a great harness. That's what MUZIM did. It's an app that runs local multimodal and vision models offline to parse and index your images, videos, and documents frame by frame. • Super fast on-device processing • On-device video & image understanding • You can also bring your API keys for heavy reasoning • Your data stays where it is / nothing goes to the cloud You can do a couple of things with this: 1. Vibe searching for whatever you remember in photos or raw video clips. The app will jump straight to the exact frame and timestamp of the video. This is search as it should be. 2. Use local-running agents to perform tasks on your files. I show a couple of examples in my video. You can check it out here: Thanks to the MUZIM by OpenSoul team for showing me the tool and partnering with me on this post.

Santiago

65,953 görüntüleme • 1 ay önce

AG1 Residency Program is a 10-week residency in Tokyo where founders from around the world live together, build together, and focus intensely on creating great products. Applications for Batch 3 are now open! Every batch, AG1 brings founders to Tokyo from across the world, including the US, China, Korea, and many other countries. For Batch 3, there is one type of founder we’re particularly excited to meet: Founders using AI not just to build better software, but to build new infrastructure and products that make AI accessible to ordinary people. We believe the next wave of AI will not only be about better models. It will be about turning intelligence into something people can actually use in their everyday lives, across work, commerce, education, entertainment, and the physical world. And we think Japan is one of the most interesting places in the world to build this: Japan is one of the world’s most advanced economies, yet many parts of society remain surprisingly under-digitized. There is still a huge gap between what technology can do and what people actually use every day. That gap creates an unusually fertile environment for founders: strong infrastructure, sophisticated consumers, large incumbent industries, and countless workflows that AI can fundamentally reinvent. If you want to build products that bring AI out of the lab and into the real world, we want you at AG1. It’s a rare opportunity to spend 10 weeks in Tokyo living and building side by side with ambitious founders from all over the world. And most importantly, check out the new AG1 video we just made! Applications and shares are very much appreciated 👇

AG1 Residency Program is a 10-week residency in Tokyo where founders from around the world live together, build together, and focus intensely on creating great products. Applications for Batch 3 are now open! Every batch, AG1 brings founders to Tokyo from across the world, including the US, China, Korea, and many other countries. For Batch 3, there is one type of founder we’re particularly excited to meet: Founders using AI not just to build better software, but to build new infrastructure and products that make AI accessible to ordinary people. We believe the next wave of AI will not only be about better models. It will be about turning intelligence into something people can actually use in their everyday lives, across work, commerce, education, entertainment, and the physical world. And we think Japan is one of the most interesting places in the world to build this: Japan is one of the world’s most advanced economies, yet many parts of society remain surprisingly under-digitized. There is still a huge gap between what technology can do and what people actually use every day. That gap creates an unusually fertile environment for founders: strong infrastructure, sophisticated consumers, large incumbent industries, and countless workflows that AI can fundamentally reinvent. If you want to build products that bring AI out of the lab and into the real world, we want you at AG1. It’s a rare opportunity to spend 10 weeks in Tokyo living and building side by side with ambitious founders from all over the world. And most importantly, check out the new AG1 video we just made! Applications and shares are very much appreciated 👇

Luke LI@Asu Capital Partners--e/acc

72,663 görüntüleme • 1 ay önce