Akta at CES 2026: The AI-first video platform, powered by Gemini, gets even bigger
January 7, 2026
CES has always been where the future shows up first. This year, Akta is bringing something the broadcast and streaming industry has been demanding for years: a truly AI-First video platform—built with Google Gemini at the core of every product and service—designed to deliver premium viewer experiences with radically more efficient operations.
As audiences expect more live and on-demand video across every screen, the challenge isn’t just quality—it’s scale, speed, and sustainability. Teams are being asked to do more with less, while still shipping world-class experiences. Akta’s mission heading into 2026 is simple: make streaming better, faster, and more resilient—without adding complexity.
At CES, Akta is announcing a new wave of capabilities that take that mission to the next level.
Built on Google Gemini: Intelligence at the Center of Everything
Akta’s AI-First platform isn’t “AI added on top.” It’s AI designed into the workflow—from how content is processed and prepared, to how it’s delivered, monitored, and monetised.
With Google Gemini powering the core intelligence layer, Akta helps customers turn video operations into something smarter and more automated—where the platform can anticipate needs, accelerate decision-making, and eliminate the manual work that slows teams down.
This is the foundation for what Akta been innovating on for the past many months—and what’s coming next.
Announcing at CES…
● AI Powered Search
At CES, Akta is showcasing AI-Powered Search—a Gemini-powered intelligence layer that lets broadcasters and media publishers find, understand, and act on content instantly, across live, VOD, archives, metadata, transcripts, and more.
What it does
Instead of hunting through folders, imperfect metadata, and fragmented systems, teams can search in plain English and get exact clips, segments, and answers—with the context needed to take action.
AI-Powered Search can:
● Search inside video (speech + on-screen context) to find moments, quotes, names, topics, and events
● Auto-generate and normalise metadata so results improve over time (even for back catalogue)
● Return precise segments, not just full programs—ready for clipping, publishing, or syndication
● Recommend next steps (e.g., “create highlights,” “package a FAST block,” “publish to socials,” “flag compliance”)
Why it matters for broadcasters & publishers
This is less about “search” and more about time-to-monetisation.
Operational impact
● Cuts hours of manual logging and review into minutes
● Speeds newsroom + production workflows (find the soundbite, pull the clip, publish fast)
● Reduces dependency on tribal knowledge (“who knows where that segment is?”)
Content value & audience growth
● Makes your archive usable—turning years of content into a living library
● Improves discoverability for niche and regional content (especially multilingual)
● Enables faster content packaging for FAST, OTT, and social distribution
Revenue and compliance
● Faster clip creation = more inventory and more sponsor-friendly moments
● Better metadata = better targeting, better ad performance
● Easier audit trails for rights, compliance, and accessibility workflows
AI-enabled content optimisation
Also at CES, Akta is showcasing AI-enabled content optimisation—a Gemini-powered capability that automatically improves quality, efficiency, and performance for every piece of content across live, FAST, and VOD.
Instead of relying on static presets and manual tuning, Akta continuously analyses content complexity, audience devices, network conditions, and playback performance—then intelligently optimises how each asset is prepared, delivered, and monetised.
What it does
AI-enabled content optimisation helps teams:
● Optimise encoding parameters dynamically (bitrate ladders, buffering, quality targets) to reduce bandwidth without sacrificing perceptual quality
● Auto-improve metadata and packaging for better discoverability, recommendations, and faster publishing
● Adapt delivery strategies based on real playback outcomes (startup time, rebuffering, QoE signals)
● Identify and fix underperforming assets (quality issues, loudness inconsistencies, caption gaps, broken markers, malformed metadata)
● Recommend the next best action (create highlights, repackage for FAST, localise, adjust ad break strategy, prioritise content)
Why it matters for broadcasters & media publishers
This is optimisation with business outcomes:
Better viewer experience
● Faster startup, fewer stalls, and more consistent quality across devices
● Higher engagement for live events and premium programming
Lower cost to operate
● Reduced bandwidth and compute through smarter encoding and delivery decisions
● Less manual QA and fewer “fire drills” after issues hit production
More content value
● Automated packaging and performance-driven recommendations turn more of your library into monetisable programming
● Faster turnaround for clips, segments, and localised versions
The Bigger Story: Agentic, Customer-Driven Innovation for 2026
As we begin 2026, Akta remains laser-focused on customer outcomes—and on building market-leading product quality and functionality driven by real-world operational needs.
This next chapter is about more than features. It’s about agentic-powered workflows that reduce complexity, minimise manual effort, and help teams ship better experiences with the resources they already have.
Akta is building the platform where:
● AI doesn’t just inform—you can act on it
● Workflows don’t just run—they optimise themselves
● Teams don’t just keep up—they pull ahead