Coactive AI

We are so honored to be recognized as a 2024 Intelligent Applications 40 Rising Star! The #IA40 are the top private companies building with #AI and #GenAI that will shape our future. Thank you @MadronaVentures and @NYSE for the recognition. Our customers are doing incredible things with Coactive. Big things ahead!

The next San Jose Innovates Meetup is going to be held at... 🥁🥁🥁....Coactive AI! Come out and join us on Wednesday, November 13 @ 5 PM for a fireside chat with our co-founders William A. Gaviria Rojas, Cody Coleman, and Matt Mahan, the mayor of San Jose. This will be followed by time to mingle and enjoy light refreshments with others in the San Jose AI ecosystem. You can RSVP here using the passcode "sanjoseinnovators!". Looking forward to seeing you there! https://hubs.ly/Q02WB8gR0

You know what's scary? Searching a vast video database for "spookiest Halloween moments" and seeing your search results return pages of duplicative frames ☠️☠️☠️ With the release of Coactive’s Intelligent Sampling, you can now opt to only see key moments in the results. 🙀 the most scream-worthy moments ⚽ ️the major plays 👋🏻 hand gestures that indicate a key point in a speech 🌊 switching from anchor to background footage in a news broadcast ✨ the key jokes and transitions in a talkshow At Coactive AI, our mission is to unlock visual content. With Intelligent Sampling, we’re taking another step toward achieving that mission. This feature is available to all Coactive customers via the user interface and the API. (...and Happy Halloween! 🎃)

Latest blog post from Coactive AI -- monetizing your visual assets. You can't sell content you or your customers can't find. And if you don't know the attributes of your assets, you'll end up devaluing them & won't understand what's driving content performance. https://lnkd.in/gEF2VurS

🗨️"Metadata enrichment is SO manual - with the volume required it's completely untenable to scale it up, so analytics are off the menu." That's the current state of play, according to one multimedia archivist we recently spoke with. Media companies are grappling with digital transformation projects for exactly that reason. ➡️ The lure: monetizing vast media archives ➡️ The urgency: analog tools and services are being sunsetted, while digital content libraries are set to explode, fueled by AI content production. Without efficient content discovery, asset storage will remain loss-making. ➡️ The messy middle ground: studios are relying heavily on archivists to bridge critical data gaps The current process for monetizing media assets involves multiple steps and challenges: 1. Client approaches studio with a creative need 2. Studio estimates costs based on perceived availability 3. Studio submits request to archive team 4. Media archivist begins extensive search 5. Archivists submit closest matches, usually approximate Historic trade-offs in metadata creation are haunting media and entertainment businesses today: 😭 Inconsistent metadata across formats 😭 Difficulty in identifying highest quality versions 😭 Challenges in future-proofing archives 💡The solution: multimodal AI The advent of multimodal AI presents a paradigm shift in addressing these challenges. AI-powered metadata enrichment and multimodal search capabilities can accelerate content discovery, improving both the quality and quantity of licensable assets. With the Coactive Multimodal Application Platform, media companies can unlock the full potential of their content libraries, turning historical assets into future revenue streams. Ready for a demo? Get in touch today: https://hubs.ly/Q02VK_Jw0 ***** This is part of our Industry Perspectives series. We share insights from professionals working with digital assets, along with best practice use cases for multimodal AI. Follow Coactive AI for more. Read the full blog, including use cases, here: https://hubs.ly/Q02VLbBF0

Are your teams facing the same media archive challenges as journalist Maeve? Follow Coactive AI for more industry perspectives and multimodal AI. #MediaArchives #Metadata #MetadataEnrichment #AIsearch #ContentDiscovery

We spoke to journalist Maeve Campbell, to hear first-hand how legacy search tools and metadata issues are impacting media archive users. Is your team facing the same challenges? #MediaArchives #Metadata #MetadataEnrichment #AIsearch #ContentDiscovery This is part of our Industry Perspectives series. Follow Coactive AI for more.

🎬 Media Industry Insight: Unlocking Archive Goldmines💰 Our recent interview with a US media giant's director revealed a startling truth: "There's no way in 2024... an archive as rich and vast as ours should be losing money. We should be *making* a lot of money." The culprits? ☠️ Poor or non-existent metadata ☠️ Outdated archiving systems ☠️ Inefficient search and retrieval processes These issues are preventing media companies from efficiently monetizing their vast content archives. Our interviewee shared that in their case, decades of keyword metadata was entered as single phrases, making it invisible to search tools! The impact? 😶 Delayed licensing deals, higher costs, frustrated clients, and untapped revenue. Is your company facing similar challenges with content monetization? 💡 Multimodal AI is the answer: 1️⃣ Enrichment: Create custom metadata using multimodal inputs 2️⃣ Discovery: Search across images, videos, and audio with text, image, and keyword prompts 3️⃣ Analytics: Extract insights from visual datasets to unlock untapped value Read the full interview here: https://hubs.ly/Q02VlDQ90 #MediaIndustry #ContentMonetization #DigitalTransformation #MultimodalAI #M&E #MediaArchives #Metadata

We are thrilled to welcome Daniel Ross as the Founding ML Ops Engineer of Coactive AI! His first day marks a special milestone as we continue growing our teams worldwide. Daniel, we’re so happy to have you on board. We can't wait to see all the incredible things you'll accomplish! #WelcomeToCoactive #Engineering #MLOps #TeamMontreal #CultureAsAProduct #CoactiveAI

Are you "Digging for buried treasure with one hand tied behind your back"? That's how one journalist described searching media archives with legacy tools. Sound familiar? We recently did a deep-dive into the challenges of monetizing media archives. Here's our TL;DR: 😭 Legacy metadata and search tools are holding media companies back from efficiently monetizing their vast content libraries. 😭 Traditional keyword searches often lead to broad results, forcing teams to waste time manually filtering and scrubbing through content. Coactive's multimodal AI search revolutionizes content discovery with features like: 💡 Intelligent Search: learns your company's unique terminology in minutes 💬 Natural Language Search: find precisely what you need using conversational queries 🖼️ Image-to-Image Search: use visual prompts instead of words Real-world impact? 👉🏿 Find more of what works, faster than ever Is your team still struggling with outdated search methods? It's time to unlock the full potential of your media archive. Request a demo at https://hubs.ly/Q02V1FPC0 Or read the full blog here: https://hubs.ly/Q02V1FQx0 #MediaArchives #AISearch #ContentDiscovery #MediaMonetization #MultimodalAI