VideoDB

We’re proud to share a big milestone in our journey at VideoDB! Our infrastructure is now ??? SOC 2 Type 2, HIPAA, GDPR compliant, and ISO 27001 certified??. This is a huge step in making sure we’re doing everything possible to keep our customers' data safe and secure. The best part? Thanks to our team’s commitment to best practices, getting here didn’t take too long. We’re working with early adopters in healthcare and critical care, and achieving HIPAA compliance lets us support these partners even more effectively. Here’s what this means in practice: ?? Data Security: We prioritize security, using advanced encryption for data both in transit and at rest, plus strict access controls and detailed audit logs. ?? Infrastructure that Grows: Our production environment is built to handle growth, with round-the-clock monitoring and alerting systems to keep things running smoothly. ?? Disaster Recovery: We’ve got backups in place and a solid plan for keeping everyone informed if anything serious happens. ?? Vendor Checks: All our vendors go through the same security scrutiny we follow, so your data is secure from end to end. ?? People Policies: Even though we’re a small team, we’ve set up security policies that everyone follows—from data privacy training to secure passwords. Our audits were done with a respected CPA firm in California, This achievement wouldn’t be possible without our amazing team and the trust our customers place in us!?

The promise that VideoDB is 100x faster & 10x cheaper than traditional video infra is crazy ??. So, naturally people want to see it in action. So, here is our co-founder, Anup giving a 5min demo of VideoDB’s magic ? Imagine a world where instant video answers are possible within chatbots. With VideoDB, you can build this experience today & that too with a few lines of code. Watch it & let me know what let think. What kind of use-cases would you like to see next?

Had an incredible time talking about VideoDB at the AICamp event hosted by the wonderful Sonam G.! It was extremely well organized and it was great to meet 100+ founders and enthusiasts at the Amazon Web Services (AWS) Loft in downtown SF! Do check out AICamp and their events and I hope to meet some of you at the next one!

Yesterday, I had the opportunity to attend the AI after hours event at GitHub with Encord !?? The first speaker Sai Kumar Arava, ML manager @Adobe gave an insightful talk about the use of large language models (LLMs) to simplify queries around marketing analytics. Then, Prajakta Pardeshi , Machine Learning Scientist at Walmart Global Tech explained how AI is revolutionizing the way conservation non-profits identify and secure grants. The third speaker, Anup Gosavi Gosavi, CEO & Co-founder VideoDB, introduced the challenges to adapting multimodal RAG for videos. Shradha Agrawal, Engineering Manager - GenAI, Computer Vision at Adobe, made us discover how generative AI is revolutionising personalised video advertising. Eventually, Meghana Puvvadi Director of Engineering AI/ML Enterprise Assistants at NVIDIA addressed the challenges of bringing agentic AI technologies to production environments. Thank you to all the speakers and organisers of the event!

?? ???????????????? ?????????????????????? ?????? ?????????? ???????? ?????????????????????? & ???????? ??????????????????????! ?? We at VideoDB are thrilled to announce our latest initiative: ?? Research Projects and Grants! ?? We’re seeking passionate individuals and teams to collaborate on pioneering research in video technology and mathematics. This is a unique chance to work on cutting-edge projects with substantial support and resources. ???? ???????? ???? ??????????: ??????? Focused Research Periods: Dive deep for 3-6 months on a project that could redefine the industry. ???? Publications & Exposure: Opportunities to publish in high-impact journals and at renowned conferences. ???? Financial Support: Generous grants including $5k-$10k in cloud credits and a similar amount in cash for project needs. ???? Robust Infrastructure: Full access to VideoDB’s powerful computational resources to power your research. ???? Weekly Mentorship: Regular sessions with our experts to help navigate challenges and accelerate your project’s progress. ?? ????’???? ?????????????? ?????? ???????????????????? ????: ???? ???????????????????? ???????? & ???????????????????? ?????????? ????????????????: Open-source contributions that push the boundaries of text-to-video, image-to-video, and video-to-video transformations. ??? ???????????????????????? ???????????? ????????????:?Setting new standards and developing innovative benchmarks across all types of vision models. ??? ???????????????? ?????????? ??????????????????????????:?From scene detection using LLMs to creating AI that can identify and adapt to complex video sequences. ??? ???????????????????? ???????? ???????????????????? ?????? ???????????????????????? ????????????????:?Translate complex academic insights into practical algorithms and update vector space models with real-time data. Think you have a bold idea that can make a significant impact? We want to hear from you! For more details and how to apply, check out our full program outline here: https://lnkd.in/geXizJq6 #VideoDB #ResearchCollaboration #Innovation #TechGrants #MachineLearning #ComputerVision #AIResearch #MathGeniuses

AI has a major blind spot - It is great with text, but simple requests for video, especially recorded video, go unfulfilled. Obvious question is why?... Read on to find out & let us know what you think...

?? Create video clips with just a prompt ?? LLMs are fantastic with text, but when it comes to videos, they lack the necessary infrastructure. They don’t really help with creating video clips????♀? That’s where ??VideoDB comes in—it provides the essential infrastructure to make this possible. To help you get started with prompt driven video editing, we’ve created ?PromptClip ???? https://lnkd.in/gBuD-9kg an open-source repo (100+ ??). We launched it few months ago, and now many startups are using it to build AI-driven video editors. ?? Our latest update now supports visual and multimodal prompts, making it even more exciting to use. Check more examples at https://lnkd.in/g6KBSPg2 #LLM #multimodal #clip #video #AI #editor #opensource Prompt? “Mr. Bean is attempting to cheat by peeking at the answer sheet of the man beside him”

Hey Everyone ?? ??Open Source Alert?? Some of you might already know, but for those who don't, we are the same team that built Spext (https://spext.co). With Spext, we focused on creating an amazing user experience for interacting with video recordings, scaling it to 10,000 hours of video before pivoting to VideoDB (the story behind our pivot is one for another time ??). Over the last three years, we've developed beautiful interfaces for: ?? AI-driven video editing: Edit videos by editing text directly in the browser. Link to video editor ?? https://lnkd.in/gmveVBFm ?? Search across videos: Implement RAG over a collection of videos. Try it here ???? https://lnkd.in/gN8_C3r9 ?? Chat-based editing and clipping workflows for creators. Here’s an example workflow ??https://lnkd.in/gUd_X_rQ ??? Beautifully designed video player: A cross-platform video player that supports search and chapters.?Try it here ????https://lnkd.in/gwSUQRTd We believe these UI tools offer great value to anyone working in this space, so we’ve decided to ??open source all of them?? in the coming weeks ?? We're excited to kickstart our open-source project on video agents, designed to help you build tools and agents that can interact with natural language and run complex video pipelines for you ???? and these UI interfaces are going to be integral part of it. If you're interested in collaborating on any part of this project, feel free to reachout to me ?? #opensource #video #editor #AI #LLM #RAG #agent #infra #ML #multimodal

Prompts are crucial in extracting information from large vision models. Strategic prompt engineering can significantly enhance the ability to extract detailed information from video frames, opening up new possibilities for advanced video search and analysis. ?? ???? Here’s a comprehensive guide on mastering video scene indexing through prompt engineering. Check it out and let us know your thoughts - https://lnkd.in/gaUT8YY2 #video #indexing #RAG #search #multimodal #AI #LLM

AI is great is with text, but with video, especially recorded video, simple requests go unfulfilled. The obvious question..... why?! The reason is we need to let go of concept of "Video files" and reimagine "Video-as-data", not files. Our co-founder, Anup Gosavi, presented this concept at an incredible event at Strange Ventures & got requests to share it broadly. Here is the presentation. How does reimagining "Video-as-data" affect your industry? Share with us ??