NAB 2026
Find clarity through video chaos
Meet Snicket Labs at the NAB Show Las Vegas - (W2018)
Behind the momentum of “More content! More AI! More automation! More scale!” is a quieter reality most teams are wrestling with:
Libraries are growing faster than visibility
Duplication is becoming harder to quantify
Finding the truly unique asset among countless versions takes longer than it should
Storage bills rise in the background
AI processing costs increasing, often without proportional benefit
This NAB, our team will be on the show floor sharing how our award winning solutions can help you bring clarity back into your video libraries, and take back control of your operation.
Content intelligence, built for video at scale
Our content intelligence solutions are built for the people who work with video every day… the teams creating it, storing it, distributing it, and trying to stay ahead of its relentless growth.
Using proprietary fingerprinting technology grounded in mathematics (not generative AI) we analyse video libraries at scale to identify duplicate and near-duplicate content. Not just exact copies, but alternate cuts, subtle edits, versioned deliverables, reformatted assets, and even fixed-rig camera feeds where only moments of change distinguish one file from another.
Match eliminates duplication and derivative clutter across your archive. It helps you store only what you need, find what matters faster, and reduce unnecessary infrastructure overhead.
What once felt inevitable, becomes manageable, even reversible.
Enrich ensures your AI workflows begin with cleaner, smarter datasets. By reducing unnecessary processing volume before content enters AI pipelines, you improve granularity, sharpen results, and avoid paying to analyse the same material repeatedly.