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Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

List of Runway Video Editing Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
Assembly Media 50 $5M United States Runway AI Runway Video Editing Video Editing 2019 n/a In 2019, Assembly implemented Runway Video Editing to accelerate masking and matte generation within its Video Editing post production workflows. The deployment centered on Runway Video Editing as a compositing and automated rotoscoping layer used by Assembly editors and finishing artists. The implementation was embedded into an AWS cloud based virtual machine architecture, where a team of seven Autodesk Flame artists operate on interconnected VMs to collaborate in a secure environment and scale capacity up and down. Runway was introduced as a complementary tool to Flame, providing automated matte extraction and background control capabilities that feed directly into finishing and color workflows. Operational scope covered 3 to 8 concurrent projects ranging from high security studio films to beauty and luxury brand work, with Runway used for shot level tasks such as hair mattes and selective background grading. A recent use case for Pat McGrath Labs required Runway generated mattes for 28 shots including moving hair on four models, with usable masks available to the finishing team within hours. Governance and process changes focused on making Runway the first step for mask generation in the finishing pipeline, standardizing a workflow where Runway outputs are imported into Flame for compositing and final grade. The editor and team reported that Runway enabled delivery of accurate masks in minutes instead of days and saved weeks of manual roto work on certain beauty projects, establishing a consistent operational pattern for iterative shot preparation.
Cbs Media 6000 $9.4B United States Runway AI Runway Video Editing Video Editing 2020 n/a In 2020, CBS implemented Runway Video Editing across the Late Show with Stephen Colbert production workflows. Runway Video Editing was adopted by the six-person graphics team and used alongside the show’s separate post department, embedding into the production pipeline that begins with Research and writers and proceeds through production, graphics execution, and editorial handoff, with a focus on accelerating graphics-heavy comedy segments in the Video Editing category. The implementation centered on Runway Video Editing capabilities for rapid rotoscoping and automated masking, enabling frame-accurate isolation of talent and background elements with click-to-execute workflows. The team applied these capabilities to compositing and graphics integration for animated segments, shifting routine frame-by-frame rotoscoping work previously performed in After Effects Rotobrush into an automated editing layer. Operationally the tool was incorporated into handoff workflows between graphics and post, supporting iterative feedback loops with writers, producers, and the Research Department, and it was applied to both daily topical segments and larger productions such as a commemorative music video featuring Sara Bareilles and Josh Groban. Runway Video Editing functioned as a content creation and editing layer within the Late Show production stack, accelerating creative iteration without replacing the broader post-production or scheduling systems. Governance emphasized embedding Runway into existing editorial approval and turnaround processes, with the graphics team owning execution and the post department retaining final assembly and delivery. The deployment produced an explicit outcome cited by the team, reducing specific edit tasks on Late Show segments from five hours to five minutes, which materially shortened iteration cycles for topical content and music video projects.
New Balance Retail 8000 $6.5B United States Runway AI Runway Video Editing Video Editing 2021 n/a In 2021, New Balance implemented Runway Video Editing within its computational design practice under the leadership of Onur Yüce Gün. The deployment became part of the computational design team’s daily workflows, and Runway Video Editing was used to support design iteration, prototype visualization, and instructional coursework. The application is referenced in the Video Editing category and was positioned to accelerate concept exploration for product and additive manufacturing related experiments. The implementation emphasized AI driven generative editing capabilities that designers at New Balance used to explore diffusion model driven imagery and iterative asset prototyping. Functional usage focused on generative editing, style transfer, timeline based editing workflows, and rapid iteration of visual assets to inform computational design decisions. Runway Video Editing was leveraged as both a production tool and a teaching aid, reinforcing model informed creative exploration rather than replacing analytical design methods. Operational coverage centered on Onur Yüce Gün’s computational design team, practitioners involved in dfAM and design for additive manufacturing, and academic style instruction delivered internally and in external lectures. The platform was embedded into daily design processes and course curricula, increasing accessibility for designers and students who required rapid visual iteration. No specific enterprise system integrations are documented, the narrative emphasizes practical adoption within design and instructional domains. Governance of the rollout prioritized capability familiarization, workflow definition, and knowledge capture to ensure generated outputs remained relevant to product objectives. Adoption included training and curricular integration under the computational design group, and ongoing experimentation with diffusion models to refine relevance. New Balance reports greater visibility and accessibility of AI enabled editing tools for practitioners and instructors since the implementation.
Professional Services 200 $23M United Kingdom Runway AI Runway Video Editing Video Editing 2020 n/a
Professional Services 120 $15M United States Runway AI Runway Video Editing Video Editing 2020 n/a
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Buyer Intent: Companies Evaluating Runway Video Editing

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Runway Video Editing. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Runway Video Editing for Video Editing include:

  1. Hecht Kugellager, a Germany based Distribution organization with 28 Employees
  2. Bank of America, a United States based Banking and Financial Services company with 213000 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

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