7/7 Scalable and user-friendly:.✅smooth API integration with your existing platform.✅intuitive UI available via the Coactive platform .✅additional SQL & analytics tools. Let's monetize your media archive. Book a demo at #AI #ML #Metadata #MediaArchives

6/7 Powerful search features:.✅learns custom terms in minutes (no coding).✅search across media formats (video, images, audio).✅advanced natural language & reverse image lookup. Give your team superpowers! Book a demo at #AI #ML #Metadata #MediaArchives

5/7 We built Coactive to turbocharge busy teams reliant on media archives. Our multimodal AI search tools can deliver vastly higher quality results, faster - helping your teams to discover and monetize great content. Here's how. #AI #ML #Metadata #MediaArchives #MediaTech

4/7 Media archivists, analysts, and content creators everywhere are drowning in irrelevant results, manual scrubbing, and complex filters. Enter: Coactive AI for enterprise 💪🏽 . #AI #ML

3/7 Picture Maeve’s search:.➡️ She needs footage of Tuvalu islanders' daily life.➡️ Specific angles showing rising waters.➡️ Deadline breathing down her neck. What the archive gives her:. 📸 Rogue holiday images.🗺️ Wrong islands.⏰ Outdated results. Surely there's a better way?.

2/7 Legacy search is like "digging for buried treasure with one hand tied behind your back," explained Maeve. Her job requires finding the perfect visuals for unique news stories, every day. But retrieving them from media archives is a struggle. She gave us an example. #AI #ML.

1/7 Why do companies struggle to monetize their media archives? . We spoke with international journalist Maeve Campbell to find out more. We wanted to learn what it’s like for professionals who depend on media archives and legacy search tools. She flagged major issues. #AI #ML.

This is a super powerful feature for anyone sitting on large video archives, streaming content and broadcast footage. If that sounds like you, get in touch!.

These customizable labels utilize Coactive’s multimodal AI to automatically classify videos based on any attributes of your choice. ✂️ Create minute-by-minute cut sheets .💰 Assign advertisement tags .✅ Add context-specific metadata to improve asset management.

Until now, understanding video content meant slow, costly manual metadata tagging. Introducing Coactive Dynamic Tags: instantly create and categorize video metadata at search speed using our multimodal AI. 🎥✨ Perfect for large archives. Learn more:

On the latest episode of @mastersofscale, @codyaustun shares his incredible journey from South Jersey as a @QuestBridge scholar to CEO unlocking untapped value in oceans of visual content. Listen 👉 #QuestBridge #MastersOfScale.

This Memorial Day, we honor those who served and celebrate veterans like Caitlin, who transitioned to tech. 🇺🇸 "Military skills are highly valued in tech." . 👉 #MemorialDay #MilitaryToTech

We are deeply grateful to our investors: Cherryrock Capital, @EmCollective and @greycroftvc and previous investors @a16z, @BessemerVP, and @ExceptionalCap. Forbes: . Coactive Blog:

Three years ago, our founders set out on a mission to build a metadata-free future and bring the full power of analytics to images and video data. Today, we’re thrilled to announce that we’re accelerating a major milestone toward this goal with $30M in Series B funding! 🎉

🌟 From Cyber Olympiad champ to Bay Area drama star, Mehul Raje brings her creativity to Coactive, transforming unstructured data. Want to join a team that values diverse talents?. 👉 Mehul's journey: 🔗 Job openings: #AI #JoinUs.

RT @AWSstartups: AWS Startups April Founder Spotlight 🌟. Meet Cody Coleman, the co-founder & CEO of @CoactiveAI, on a mission to shape the….

We are excited to announce Coactive is an early participant in @MLCommons new AI Safety (AIS) working group!. This initiative is aimed at developing standard AI safety benchmarks and encouraging innovative test development. Learn more:

Read more via @BusinessInsider: #AI #MachineLearning.

Breaking news! 📣 We’re thrilled to share that we’ve raised $14M in seed and Series A funding led by @a16z and @BessemerVP to bring context to visual content #data.

Does your ML training data reflect the real world? By retraining established CV models on the new, socioeconomically diverse Dollar Street Dataset, we improved the classification accuracy of items from low-income households by 50%. Here’s how: