NAB 2026: The Year the “Great Media Reset” Became Reality
The dust has officially settled on the 2026 NAB Show in Las Vegas, and the atmosphere across the newly renovated halls of the LVCC was unmistakable. This wasn’t just another trade show; it was a pivot point. If 2025 was about the industry asking, “What can AI do?”, then 1,100 exhibitors just spent five days answering, “Here is how it earns its keep.”
The overarching theme of the show was the “Great Media Reset.” After years of “growth at any cost,” the industry has shifted its gaze toward sustainability, operational efficiency, and the practical execution of technologies that have finally moved from pilot projects to production mainstays.
Here is what defined the landscape of NAB 2026.
From AI Pilots to Full-Scale Execution
The most visible shift was the doubling of exhibitors in the AI Pavilions compared to last year. We are no longer looking at “experimental” generative tools in isolation. Instead, AI is now natively embedded into the hardware and software we use every day, from AI noise cancellation in Saramonic’s new wireless audio systems to AI-powered subject tracking in the latest 4K ENG cameras from Sony and Canon.
In the world of asset management and collaboration, the conversation has moved toward automating the “boring” parts of creativity. We saw this trend play out across the floor as teams looked for ways to eliminate manual tagging. It’s why we were so energized to show how MediaSilo AI and FLOW AI are fitting into this new era, focusing on making content searchable and actionable without adding to the editor’s plate.
The “Be Your Own Cloud” Movement
While cloud production is the standard, a fascinating counter-trend emerged this year: “Be Your Own Cloud.” Attendees were highly focused on tools that allow for secure, direct streaming and file access from local drives.
This hybrid mindset acknowledges that while the cloud is essential for distribution and scale, there is immense value in maintaining control over local high-performance storage. This is driving a new demand for infrastructure that bridges the gap between on-prem speed and cloud-based flexibility.
The Professionalization of the Creator Economy
The Creator Lab in Central Hall was no longer a side-show, but a destination. The expansion of this area reflects a massive shift: creators are now building scalable, revenue-generating media businesses. Today’s creators are moving away from broad appeal in favor of hyper-focused niche authority, building sustainable businesses around specific, loyal communities. This evolution is driving a demand for “agentic” production models, where AI serves as a unified stack to handle the heavy lifting of organization and formatting.
This professional pivot is exactly where the industry is seeing the value of intelligence-driven workflows like MediaSilo AI and FLOW AI. These tools are becoming essential as creator businesses scale, helping them manage the transition from simple content production to complex multi-platform distribution without losing agility. The barrier between high-end professional post-production and the creator economy has effectively vanished, with both sides prioritizing AI-native ecosystems to automate metadata and streamline the path from capture to monetization.
The Bottom Line
NAB 2026 wasn’t about the “next big thing,” it was about the “right big thing.” The industry has stopped chasing every shiny object and started investing in tools that provide a clear path to profitability and creative freedom.
As we look toward the rest of 2026, the goal is clear: build workflows that are smarter, faster, and more sustainable. We’re proud to be in the game, helping navigate this reset.
Did you miss us at the show? Reach out to see how we’re helping teams bridge the gap between production and post with intelligence and speed.
We have a big week ahead! As the team prepares to head to Las Vegas for NAB, the excitement is building. While the industry is buzzing with talk about new releases and the latest in AI, it’s the perfect time to remind our community that EditShare is built to support your entire media lifecycle from ingest to archive.
Here is a look at what we’re highlighting this year at Booth N1251.
1. Supporting Your Entire Workflow
EditShare isn’t just a storage provider; we provide the foundational infrastructure for your entire production lifecycle. We play across every stage of the process to ensure your team stays creative and productive:
Production & Ingest: Seamlessly ingest your content into a system built for collaboration.
Search & Discovery: We are currently focusing our AI innovation on search. Whether you need to find content on-premise with FLOW or in the cloud via MediaSilo, our AI helps you locate the right clips instantly.
Review & Approval: Use MediaSilo to share your work externally and gather feedback through a streamlined, professional gateway.
2. AI Security: Sovereignty Over Your Content
Security is a top concern across every industry. We approach security with a multi-layered strategy to give you total peace of mind:
Cloud Security: MediaSilo is SOC 2 compliant and now a member of the TPN (Trusted Partner Network), meeting the rigorous standards required by major studios.
Zero-Training Policy: Our AI is highly secure. We do not train our models on your content, and your data never resides in the open public cloud.
On-Premise Protection: With tools like EditShare Guardian, you have a complete audit trail. You’ll always know who has touched a file and where it has gone, eliminating the risk of files “disappearing” without a trace.
3. Storage for Every Scale: From 100 Terabytes to Petabytes
At EditShare, hardware is our foundation. We believe every team deserves high-performance storage, regardless of their size or industry. We offer tiers for every need:
The Right Fit: Whether you need a small cloud footprint for external collaboration or a robust on-premise setup, we have a solution.
Scalable Performance: Our offerings range from affordably priced 100TB EFS systems to massive, petabyte-scale configurations.
NVMe Innovation: For those requiring high-speed editing and finishing, our NVMe offerings deliver ultimate performance, while our proven spinning-disk solutions offer reliable, large-scale capacity. We even provide integrated archive solutions to protect your content for the long term.
See You in Vegas!
We can’t wait to show you these innovations in person. Stop by Booth N1251 in the North Hall to see our storage and AI tools in action.
Book a demo today to see how we’re making your workflow more searchable, secure, and scalable than ever before.
For technical teams, the transition from basic file sharing to a managed environment often reveals a “MAM Gap”. You have outgrown the lack of control in standard folders, but you are not ready for the six-month deployment of an enterprise-grade asset management system. At EditShare, we bridge this gap by supporting your entire workflow, from script to screen, ensuring that your active library and deep archive remain performant, secure, and searchable.
The Constraint of the Traditional MAM
A traditional, full-scale MAM is a significant infrastructure commitment. It assumes your organization is ready to implement a fixed taxonomy, complex permissions models, and ingest workflows that often require dedicated IT oversight. When lean teams deploy these systems prematurely, the complexity often results in low adoption, with users reverting to unmanaged “old way” sharing to maintain velocity.
The Minimum Effective Dose: MediaSilo as your Library
MediaSilo provides the “minimum effective dose” of media management for your active Library; the assets currently in production or under review. It focuses on three core technical requirements:
1. Organizing the Library
MediaSilo allows you to ingest files quickly without a preliminary metadata project.
Technical Ingest: Upon upload, the system automatically retrieves base technical metadata, including duration and codec information.
Enrichment: Users can immediately add custom tags and metadata to ensure searchability without needing an enterprise-wide taxonomy.
Result: This removes the need for “digital archaeology” by ensuring files live where the team expects them and are discoverable via index-driven search.
2. Secure, Reliable Sharing
Basic sharing handles the transfer; MediaSilo handles the experience.
Granular Control: You gain precise control over who can forward, download, or view your work.
Dynamic Security: Admins can set expiring links and manage access permissions even after a link has been sent.
Playback Integrity: MediaSilo ensures assets will actually play on the client’s device without requiring a support ticket or specific local codecs.
3. Branded Presentation (Spotlight)
High-stakes reviewers judge the quality of the work based on its presentation.
Template Library: Teams can maintain a library of standardized templates to ensure brand consistency across all outgoing links.
Customization: For specific presentations or pitch sessions, users have the ability to customize one-offs to meet the unique requirements of the occasion.
Analytical Utility with MediaSilo AI
We are enhancing the lightweight library experience with MediaSilo AI, focusing on “Gold Medal” utility rather than generative novelties.
Transcription and Captioning: High-accuracy transcripts are generated automatically on ingest, making libraries searchable by dialogue.
Facial and Logo Recognition and Scene Detection: The system automatically identifies key individuals and breaks video into navigable segments.
In-House Security: Our AI processing occurs within a secure cloud environment. Your content never leaves our environment to be processed elsewhere and is never used to train third-party models.
If you have outgrown basic folders but are not ready for a deep IT infrastructure project, you have found the “MAM Gap”. MediaSilo fits exactly there, providing the security, searchability, and performance required from script to screen.
Finding a specific moment in your library, a jersey logo, a crowd reaction, or a specific interview setup often feels like digital archaeology. When a producer remembers a shot but can’t locate it, the result is hours of manual scrubbing that drains creative momentum. Because video is unstructured data, there is no inherent metadata that tells you what is happening on-screen. Historically, the only solution was manual logging, which is slow, expensive, and rarely complete.
At NAB this year, we’ll be showing off FLOW AI, our new analytical AI engine designed to bring intelligence directly into media management and workflow automation. It does the unsexy but essential work: finding logos, recognizing faces, describing scenes, and adding the context needed for true semantic search inside our core FLOW asset management interface. It’s a major step forward in how EditShare customer teams can understand, organize, and move faster with the content they create every day.
We have some previous experience with audio and video AI processing. Our generation one offering was expensive, slow, and required two different products to actually accomplish most tasks. We learned from that experience.
We could have treated the next version of AI as a web-based integration: sending files to AWS or Google, pulling results back, and stitching it into the UI. But that approach creates exactly the kind of fragile, multi-vendor complexity media teams are trying to escape (and failed the first time). Our customers don’t want another system to configure or another support boundary when deadlines hit: they want intelligence that’s native to the workflow they already trust. That’s why we made AI a core part of FLOW, building on the broader platform transformation we described in The Rebirth of FLOW. Along the way, we also strengthened FLOW’s underlying search performance, because sophisticated customers managing millions of assets were pushing the platform to its limits. We optimized for that scale.
This approach does come with a trade-off today: AI video processing requires a dedicated GPU server, adding additional entry costs. We built the first version for serious editing teams and media management professionals who aren’t dabbling with a few clips, but need to analyze and organize 500+ hours of content every year, like reality TV productions, large corporate marketing teams, and sports organizations.
Over time, we’ll fold GPU capability into our core server architecture to eliminate extra hardware and reduce friction, and we’re also focused on displaying FLOW AI results inside DaVinci Resolve or Adobe Premiere.
We’re building AI that actually works in real media operations, not demos.
Book a 1:1 demo or stop by booth N1251 to see how these tools perform in real-world media operations and how native intelligence can turn your archive into a functional, searchable asset.
NAB 2026 is shaping up to be the “AI Show,” but for most video editors and post-production supervisors, the excitement is mixed with a healthy dose of skepticism. Between the ecosystem friction found in once-seamless tools and the constant noise of new plugins, it’s hard to tell what will actually save you three hours on a Tuesday and what is just a shiny toy.
Before you hit the floor, here is a guide to the four kinds of AI you’ll encounter, and how to spot the real problem solvers.
1. The Generative “Shiny Toys”
These are the booths with the longest lines. They show you how to swap a background or generate a voiceover in seconds. It’s impressive technology, but for many high-end pros, these are silver medal features. They are fun to play with, but they don’t solve the digital archaeology of digging through thousands of folders just to find one three-second soundbite.
The Reality Check: If it’s cool for a demo but doesn’t fit into a secure, professional delivery workflow, it might just be a toy.
2. The “Black Box” Harvesters
Many AI tools operate by sending your content to a third-party cloud for processing. This often comes with “fine print” that allows them to use your footage to train their machine learning models, which is a massive dealbreaker for corporate and legal teams concerned about biometric data and intellectual property.
The Problem Solver: Look for “white-glove” security. AI should happen inside a secure, private cloud environment where your content is never used to train someone else’s model. Full stop.
3. The Creative’s Brain (FLOW AI)
For production teams managing massive amounts of media and cold storage, the real problem is the archive. FLOW AI acts as a Production Asset Management (PAM) powerhouse designed for the rigors of on-premise hardware.
Massive Indexing: FLOW AI is built to search through 100TB+ of storage including archives, turning years of current and old footage into searchable assets.
Frame-Accurate Discovery: Because FLOW is the “Editor’s Companion,” it provides sub-second precision (e.g., finding a face at exactly the right place) because that’s where you need to make the cut.
Future-Proofed: The upcoming release includes more 3rd-party storage integrations to help you truly own and extract value from your archive.
4. The Library Gateway (MediaSilo AI)
While FLOW handles the archive, MediaSilo AI is designed for your library: the active and past projects you are currently sharing for review, approval and delivery.
The “Gold Medal” Feature: Automatic Transcription and Captioning. It replaces expensive, slow third-party services with instant SRT/VTT generation on ingest.
Enhanced Discovery: It isn’t just about the frame; it’s about the content. MediaSilo makes it easy to manage and share assets without enterprise overhead or clunky workflows.
Remote Workflow Hero: It allows remote editors to instantly grab transcripts and captions the moment a file is uploaded, ready to be brought straight into the NLE.
Making Sense of the Ecosystem: One Engine, Two Missions
At the EditShare booth, we’re showcasing how these two systems work together while serving unique purposes.
FLOW for the surgical, on-prem production management and archive
MediaSilo for the collaborative, cloud-based library and transcription
Because they share the same engine, your intelligence, including face, logo, and speech detection, remain consistent and secure from the first ingest to the final archival search.
Stop by Booth N1251 at NAB
Don’t get distracted by the shiny toys. Come see how we’re solving the digital archaeology problem and making media libraries usable again.
Would you like to see the gold medal AI in action?
Moving past the “cool factor” to find the tipping point where search friction starts costing you real money.
AI indexing is rapidly becoming a standard feature in media workflows. It’s easy to assume that adopting it is simply part of staying current. But at EditShare, we believe that’s the wrong starting point.
The more useful question isn’t “What can AI do?” but rather: Does it change the economics or throughput of your specific operation?
The Tipping Point: From “Annoying” to “Expensive”
We’ve all heard the complaint: “We produce more than we can find.” For a small team, that’s a minor annoyance. For a high-volume production house, it’s a business failure.
The “tipping point” occurs when search friction manifests as a tangible loss. We’ve seen it happen in three specific ways:
The Duplicate Shoot: A team flies a crew out to capture “generic city b-roll” because no one can find the high-quality drives from six months ago.
The Missed Deadline: An editor spends six hours “scrubbing” through raw footage to find a specific interview soundbite, pushing the delivery past the broadcast window.
The Lost Opportunity: A brand wants to do a “throwback” campaign, but the archive is such a “black hole” of unindexed data that the creative idea is killed because the labor cost to find the clips exceeds the project budget.
When AI Indexing Doesn’t Make Sense
If your team produces one-off projects that are delivered and rarely revisited, the long-term value of indexing every frame is limited. An archive that is rarely accessed does not suddenly become valuable just because it has more metadata. Searchability enables reuse, but it does not create reuse on its own.
When the Math Changes
Where AI indexing begins to make financial sense is in environments where volume and reuse are structurally important.
The Scalability Gap: At a modest scale, manual logging is manageable. At a large scale, it’s either ignored or becomes a massive labor expense. AI converts unstructured video into searchable metadata (faces, objects, speech) at a fraction of the cost of human labor.
The Inventory Mindset: An indexed archive behaves like inventory. An unindexed archive behaves like storage. If you regularly repurpose content, localize material, or monetize archives, searchability directly affects your margins.
Creative Throughput: Editors are your most valuable (and expensive) assets. When a skilled editor spends 45 minutes looking for a clip instead of cutting, that is an opportunity cost. AI doesn’t replace their judgment; it simply narrows the search space so they can get back to storytelling.
The Reality Check
AI is a lever, not a magic wand. It is brilliant at pattern recognition, like finding a logo, a specific face, or a spoken word. It still struggles to interpret emotional nuance or “vibe.”
Furthermore, the technology only works if the workflow changes. Media must be centralized, and metadata must be visible exactly where the editors work. Without adoption, indexing is just background noise.
The “office” is no longer a single building when it comes to media production. It’s a global network of edit suites, home offices, and field locations. But for years, the barrier to seamless collaboration has been the dreaded VPN (Virtual Private Network).
Traditional VPNs are often the “bottleneck” of creativity. They are notoriously difficult for IT departments to manage, confusing for freelance editors to set up, and, most importantly, frequently underperform when handling high-resolution media.
That’s why we created SwiftLink, powered by our partnership with ZeroTier. Here is how we solve the remote access puzzle for good.
The Problem: The “VPN Wall”
Remote production usually hits one of two walls:
The Enterprise Wall: Corporate IT departments are often reluctant to grant external freelancers access to the main corporate VPN due to security risks or complexity.
The Capability Wall: Smaller production houses may not have the technical “wherewithal” to build or maintain a high-performance VPN that can handle the rigors of real-time video editing.
When connectivity fails, editors resort to shipping hard drives or struggling with “SMB over WAN,” which simply doesn’t work for professional workflows.
The Solution: SwiftLink + ZeroTier
SwiftLink integrates ZeroTier directly into the EditShare ecosystem to create a “Private Cloud” that is secure, affordable, and incredibly fast.
1. Instant Access for Freelancers
Instead of a complex manual setup, an admin simply generates a 16-digit network ID.
Ease of Use: The freelancer installs the ZeroTier stack, enters the ID, and is “off to the races.”
Security: Access is “fine-grained.” Even with the ID, an admin must manually authorize the freelancer’s machine in the dashboard before any media is visible.
Affordability: This isn’t an enterprise-cost solution. At roughly $2 per month per user/node, it’s a professional-grade tool at a fractional price point.
2. “Peer-to-Peer” Performance
Unlike traditional VPNs that route all traffic through a slow central server, ZeroTier acts as a “cloud broker.” Once the connection is made, it gets out of the way.
The Result: A direct, peer-to-peer connection between the editor’s laptop and the EFS server.
Workload: You can browse media spaces performantly. If your local bandwidth is low, you can seamlessly switch to proxy workflows in Adobe Premiere Pro, then relink to high-res—all through the same secure tunnel.
3. Connecting the Global Studio (Site-to-Site)
SwiftLink isn’t just for individuals; it’s for entire facilities. You can link up to nine distinct sites (e.g., LA, London, and a field unit) into a single ecosystem.
Disaster Recovery: Automatically synchronize media between a master site and a DR site.
Follow-the-Sun Editing: Pass media effortlessly between global offices so production never stops.
The Bottom Line
SwiftLink removes the “IT middleman” and the “physics bottleneck.” Whether you are a solo freelancer needing to mount a media space as if you were in the room, or a global studio syncing terabytes of data, SwiftLink makes the connection invisible so you can focus on the story.
“We can’t violate the laws of physics… but we’re going to make the most efficient use of that pipe.”
A “secure perimeter” is no longer enough in today’s media production. As workflows become increasingly distributed, the industry is shifting toward a Zero-Trust model: Never trust, always verify.
In our latest episode of Cut to the Chase, Chris Zeid (Manager of Technical Support & Services) and Simon Lamprell (VP of SaaS Product & Engineering) discuss how MediaSilo doesn’t just store content, it secures the entire production process.
1. Project Access. How MediaSilo goes beyond the password.
The traditional username-and-password model is one of the weakest links in security. MediaSilo replaces this legacy approach with identity-bound access methods designed for the modern studio.
Key Technical Takeaways:
Magic Link System: Users are invited via unique, time-sensitive links, ensuring that only the intended recipient can access the workspace.
SSO & MFA: For enterprise environments, MediaSilo supports Single Sign-On (SSO) and Multi-Factor Authentication (MFA), adding a critical secondary layer of verification.
No Shared Credentials: By eliminating static passwords, you eliminate the risk of credential stuffing and unauthorized account sharing.
2. Granular Permissions: Production-Minded Access
Security shouldn’t be “all or nothing.” A freelancer needs different permissions than an executive producer. MediaSilo was built with the production process in mind, offering granular control over who sees what, and what they can do with it.
Key Technical Takeaways:
Limited Visibility: Grant access to a specific set of assets while keeping the rest of the workspace invisible to the user.
Functional Restrictions: Define exactly what a user can do. You can allow a contractor to upload deliverables without giving them access to the rest of the account or the ability to review other assets.
Freelancer Integration: Securely onboard external talent without compromising the integrity of your corporate firewall.
3. Forensic Protection & Behavioral Intelligence
What happens when content leaves the platform for review? This is the point of maximum vulnerability. MediaSilo utilizes a multi-layered defense strategy to deter leakers and provide 100% accountability.
Key Technical Takeaways:
Visual & Dynamic Watermarking: Overlay name-and-email-specific watermarks to act as a powerful deterrent.
Forensic Layer: Embed an invisible ID unique to the user and the specific viewing session. Even if someone records the screen with a smartphone, the leak can be traced back to the source using as little as 20 seconds of footage.
Behavioral Analytics: Track who watched, from where, and for how long. Detailed insights allow you to monitor for irregular activity and identify the source of compromises before they escalate.
Security That Enables Creativity
At EditShare, we believe that when you don’t have to worry about the safety of your assets, you have more room to be creative. MediaSilo gives you the peace of mind that your “work-in-progress” projects are protected by the most advanced security features in the SaaS space.
In the current media landscape, “Video AI” has become a catch-all term that has lost its meaning. When a headline screams about AI, is it talking about generating a photorealistic cat from a text prompt, or is it talking about an algorithm that can index 500 hours of raw footage in minutes?
The distinction matters. For media organizations, lumping these together creates a “Chasm of Trust.” One category is creatively exciting but operationally risky; the other is the engine of the modern media supply chain.
To build a sustainable 2026 roadmap, we have to stop talking about AI as a monolith and start looking at the four distinct categories of the video AI landscape.
1. Generative AI: The High-Hype Creative Frontier
Intent: Create video from scratch.
The Job to be Done: “Make something that didn’t exist before.”
This is the AI of Runway, Pika, and OpenAI’s Sora. It’s text-to-video, requiring no real-world actors or original footage. While it’s arguably the most “flashy” category, it remains the most operationally risky for professional workflows. Issues regarding copyright, IP safety, and “hallucinations” mean that for now, adoption is high for ideation and pre-viz, but low for high-stakes production.
2. Editing-Assist AI: The Creative’s Power Tool
Intent: Enhance existing footage during the edit.
The Job to be Done: “Help me finish faster or fix a technical problem.”
This category lives inside the NLE (Adobe Premiere, DaVinci Resolve). It’s the “Generative Fill,” the background removal, and the audio cleanup tools that editors have rapidly adopted. Why? Because it lives inside familiar tools and doesn’t threaten the creative process—it simply removes the “drudgery” of manual fixes.
3. Selection & Rough-Cut AI: Finding the Story
Intent: Move from raw footage to an editable sequence.
The Job to be Done: “Help me find the best takes faster.”
This is a burgeoning category focused on automated selects and string-outs. For unscripted, social, and high-volume content, selection AI is a massive time-saver. However, editors remain cautious here; trust in “automated storytelling” is still being earned, and control remains the top priority.
4. Analytical & Operational AI: The Engine of ROI
Intent: Search, review, and manage content at scale.
The Job to be Done: “Operate my content business more efficiently.”
This is where EditShare lives. This isn’t about creating pixels; it’s about understanding them. It’s the layer of AI that sits within your Production Asset Management (PAM) and review systems to provide:
Automated transcription and facial/logo detection.
Media-specific accuracy tuned for high-security environments.
The ability to search a 100TB archive for a specific face and find it in under 10 seconds.
Analytical AI is where real adoption is happening because it offers a clear ROI. It removes friction from high-analysis jobs where AI actually makes business sense.
Crossing the Chasm
Crossing the AI chasm in media isn’t about replacing the editor; it’s about removing the “Search Tax” and the “Chaos Tax” that plague high-output teams. When AI is embedded directly into your storage, your PAM, and your review workflows, it ceases to be a “feature” and becomes an operational standard.
At EditShare, we are focused on the “Grown-Up” side of AI. The side that prioritizes security, predictability, and business value over flashy prompts.
See the Future of Operational AI at NAB 2026
We are heading to Las Vegas this April to showcase how we’ve embedded these analytical and operational AI layers directly into FLOW and MediaSilo. If you are ready to move past the hype and into a high-efficiency AI roadmap, we’d love to show you what we’ve built.
Book a 1-on-1 strategy meeting with our team at NAB 2026.
In the high-pressure landscape of 2026, media teams are constantly tasked with delivering more content in less time. To stay ahead, your infrastructure needs to do more than just store files, it needs to act as a force multiplier.
In this installment of our Cut to the Chase series, EditShare’s Shanna is joined by FLOW product expert Lucy Seaborne to dive into three features that turn FLOW into the ultimate “Swiss Army Knife” for post-production efficiency.
1. EditShare One: Ending the “App Juggling” Era
For years, media professionals have been forced to bounce between different applications to search, log, and ingest media. This “context switching” is a silent productivity killer. EditShare One solves this by providing a unified, browser-based experience that serves as a single point of entry for the entire team.
Rather than managing a fragmented toolkit, users access tailored modules designed for their specific roles. Whether it’s a producer checking a simplified dashboard or a media manager scheduling complex ingest feeds, the interface remains consistent and accessible from any browser. By centralizing these tasks, teams can eliminate the friction of software silos and focus entirely on the creative output.
2. Speed Over Friction: The Seamless Proxy Workflow
Remote work is no longer a luxury; it’s the standard. However, the biggest hurdle for remote editors has traditionally been the “relinking drama” between low-res proxies and high-res masters. Lucy highlights how FLOW removes this bottleneck by automatically generating high-quality proxies the moment media hits the system.
This allows editors to begin cutting on a standard Wi-Fi connection immediately—even for 8K projects—without waiting for massive file transfers. The real magic happens during the finish: with a single toggle in the FLOW panel, the NLE switches back to the high-res media for final color and export. This creates a friction-free bridge between the rough cut and the final delivery, regardless of where the editor is located.
3. FLOW Automation: The Assistant Who Never Sleeps
Manual “grunt work”—like transcoding, moving files to the correct folders, and sending “media is ready” notifications—can consume up to 20% of a creative team’s day. FLOW Automation functions as a background assistant that handles these repetitive tasks without human intervention.
By building customizable, “set it and forget it” workflows, administrators can ensure that every file is QC’d, renamed, and delivered to the right department automatically. With hundreds of possible configurations, this engine doesn’t just save time; it virtually eliminates the risk of human error in file management, keeping the creative team focused on the story rather than the folder structure.
Reclaim Your Creative Time
The goal of FLOW isn’t just to manage assets—it’s to return hours to your production schedule. From a unified interface to an automation engine that handles the heavy lifting, these features are designed to help your team work smarter, not harder.
Watch the full episode below to see these features in action and learn how to get your creative time back.
