Sacra estimates that Veed hit $45 million in annual recurring revenue (ARR) in October 2025, up from $24 million at the end of 2024.

Veed served 25,000 paying customers as of late 2024, for an average revenue per customer of approximately $960 annually. The platform has 10 million monthly active users across its freemium and paid tiers, with one video exported every second.

The company monetizes through subscription plans ranging from $12 to $29 per month for individual users, and enterprise plans for teams requiring single sign-on, role-based permissions, and enhanced security. Veed has also introduced consumption-based pricing for AI features, where users purchase credits to generate videos using various text-to-video models.

Veed raised $35 million in a Series A round in February 2022 led by Sequoia Capital as the sole investor.

Prior to the Series A, Veed bootstrapped its growth from launch in 2018 through early 2022 without external funding. The company has raised a total of $35 million to date.

Veed is a browser-based video editing platform that combines traditional timeline editing with AI-powered automation tools. Users can upload raw footage or record directly in the browser, then edit using a simplified interface that strips away complex menus while maintaining professional-grade capabilities.

The platform's core editing canvas features a timeline workflow with a side-panel interface, allowing users to trim clips, add transitions, and layer multiple video tracks. A built-in teleprompter and screen recording functionality enable users to capture and edit content without leaving the browser tab.

Veed's AI Agent lets users type natural language commands like "remove filler words and add yellow captions" to automate editing tasks instantly. The Gen-AI Studio creates 30-second social videos from text scripts, automatically assembling stock footage, avatars, captions, and music. Users can also generate custom video clips by typing descriptions like "a drone shot of a neon city" through the AI Video Generator.

The AI Playground serves as a model marketplace where users can test different text-to-video generators including Google Veo, PixVerse, and Minimax, then import the best results directly into the main editor. The Clips feature automatically converts long-form content like podcasts into vertical, subtitle-ready social media posts.

Additional AI tools include eye-contact correction, background removal, voice cloning, and automatic subtitle generation with 95% accuracy across 100+ languages. The platform integrates with a library of 2 million stock videos and audio tracks, plus collaboration features like Google Docs-style commenting and shared brand kits.

Veed operates a freemium SaaS model with subscription tiers based on feature access and usage limits rather than seat count. The free tier provides basic editing capabilities, while paid plans unlock advanced AI features, higher export quality, and team collaboration tools.

The company generates revenue through monthly and annual subscriptions, with pricing structured around video export limits, storage capacity, and AI credit allocations. Enterprise customers pay for additional security features, custom branding removal, and dedicated support.

Veed's hybrid approach combines subscription revenue with consumption-based pricing for AI features. Users purchase credits to generate videos using premium text-to-video models, creating an additional revenue stream that scales with usage intensity. This dual model captures both recurring subscription value and variable consumption as customers increase their video production volume.

The platform's browser-first architecture eliminates software installation barriers and reduces customer acquisition friction. By hosting completed videos and providing analytics, Veed captures ongoing value beyond the initial editing workflow, encouraging customers to use the platform as their video distribution hub rather than just a creation tool.

Cost structure includes cloud infrastructure for video processing and storage, plus licensing fees for third-party AI models and stock content libraries. The company maintains gross margins in the 60-70% range typical of data-heavy SaaS businesses, balancing infrastructure costs against subscription revenue growth.

CapCut dominates with 500+ million monthly active users and deep integration with TikTok's distribution and effects library. ByteDance monetizes through ad templates and premium storage while leveraging TikTok's share functionality to drive organic growth, creating a powerful moat around social video creation.

Canva brings 170+ million users from design into video editing, bundling timeline animation with brand management workflows. The company's enterprise relationships and Creative Suite integration allow marketing teams to maintain consistent branding across all content types, positioning video as an extension of existing design workflows rather than a separate tool category.

Adobe Express and Premiere Rush leverage Firefly's text-to-video capabilities to generate IP-safe content directly within Creative Cloud. Adobe's enterprise lock-in and bundled pricing at $4.99-$29.99 monthly undercuts standalone video platforms while providing seamless integration with professional editing tools for customers requiring both casual and advanced capabilities.

Synthesia leads AI avatar generation with $146 million ARR, focusing on corporate training and marketing use cases where personalized video scales better than traditional production. The company has expanded beyond avatar creation into hosting and analytics, directly competing with Veed's vision of an all-in-one platform.

HeyGen reached $95 million ARR by combining a consumer-facing video studio with developer APIs, allowing other platforms to embed avatar generation. This dual approach creates both direct competition and potential partnership opportunities, as HeyGen can power AI features for incumbents while building its own user base.

Descript pioneered document-style video editing where users edit by modifying transcripts rather than timelines. The company's Regenerate feature lets editors fix mistakes by typing new words that are synthesized in the speaker's cloned voice, blurring the line between editing and content generation.

Kapwing and other browser-first editors compete directly on ease of use and collaboration features. These platforms focus on social media content creation with templates and automated resizing for different platforms, targeting the same small business and creator market as Veed's core user base.

Traditional video hosting platforms like Vimeo and Wistia are adding editing capabilities to retain customers who might otherwise export content to external platforms. By bundling creation with distribution and analytics, these incumbents aim to capture more of the video workflow value chain.

Veed's AI Playground positions the company as a distribution layer for third-party generative models, similar to how app stores monetize through revenue sharing. By aggregating models from Google, MiniMax, and other providers, Veed can collect fees on every video generation while offering customers access to the latest AI capabilities without direct vendor relationships.

The model marketplace approach creates recurring revenue opportunities as new text-to-video models launch and existing ones improve. Veed can negotiate volume discounts with model providers while charging customers premium pricing for access, capturing margin on the difference and building a sustainable competitive moat around model curation and integration quality.

Revenue sharing agreements with AI labs like DeepMind and OpenAI could generate significant income as video generation volume scales. The marketplace model also reduces Veed's need to develop proprietary AI capabilities, allowing the company to focus on user experience and workflow optimization while leveraging best-in-class generation technology.

Large organizations represent a major expansion opportunity as remote work and digital communication drive demand for internal video content. HR departments use AI avatars for onboarding and compliance training, while sales teams create personalized outreach videos at scale using automated voice cloning and background customization.

Enterprise customers typically require higher security standards, advanced analytics, and integration with existing marketing automation platforms. Veed's browser-based architecture simplifies deployment compared to desktop software, while AI features reduce the specialized skills traditionally required for video production within corporate environments.

The shift toward video-first communication in business settings expands the addressable market beyond traditional creative professionals to include every knowledge worker who needs to create presentations, training materials, or customer-facing content. This democratization of video creation multiplies the potential user base while increasing average contract values through team-wide deployments.

International markets offer significant growth potential as video content creation becomes standard practice for businesses worldwide. Veed's automatic translation capabilities and browser-based delivery model reduce localization barriers compared to desktop software requiring regional distribution partnerships.

Vertical-specific features could capture specialized workflows in education, healthcare, and professional services. E-learning platforms need automated course creation tools, while healthcare organizations require compliant video communication solutions. Each vertical represents an opportunity to develop targeted features and pricing models that command premium pricing over horizontal solutions.

The creator economy expansion into emerging markets creates new customer segments as internet infrastructure improves and smartphone adoption increases. Veed's lightweight browser requirements make the platform accessible in regions where high-end desktop hardware remains expensive, potentially capturing market share before local competitors establish strong positions.

AI commoditization: As text-to-video models become widely available through APIs and open-source releases, Veed's AI features risk becoming commoditized. Competitors can integrate the same underlying models, reducing differentiation and pressuring margins on AI-powered video generation, which represents an increasingly important revenue stream for the company.

Platform dependency: Veed's browser-based architecture relies heavily on web standards and cloud infrastructure controlled by Google, Amazon, and other platform providers. Changes to WebRTC APIs, browser security policies, or cloud pricing could significantly impact the product experience and cost structure, while platform-native editing tools from social media companies threaten to bypass third-party editors entirely.

Free alternative proliferation: The video editing market faces constant pressure from free alternatives including built-in social media editors, bundled productivity suite tools, and open-source software. As these free options improve their AI capabilities and user interfaces, Veed must continuously justify its subscription pricing through superior features and workflow integration, making customer retention increasingly challenging.