Velo is a significant application of browser agent technology within the generative media stack. While many agents are designed for task completion—such as booking travel or scraping data—Velo's agent is used for semantic observation. It watches a user's workflow to understand the intent behind actions, allowing it to recreate those actions in a sanitized, professional video format.
For the AI agent ecosystem, Velo represents a move toward "agentic documentation." It demonstrates how agents can be used to translate human interaction into structured media assets. This matters to the broader community as it highlights a use case for agents that goes beyond simple automation and into the realm of creative assistance and high-fidelity synthetic output.
Velo is a video production platform designed to automate the creation of software demonstrations. The company addresses a fundamental bottleneck in the sales and product lifecycle: the difficulty of producing high-quality walkthroughs. Most product demos suffer from human error, fumbles, and the repetitive nature of recording multiple takes. Velo solves this by decoupling the actions performed in a software interface from the final video presentation.
Unlike standard screen recorders that capture a flat video stream, Velo uses a browser agent to observe how a user interacts with an application. This agent maps the intent behind clicks, scrolls, and data entry. Because the platform understands the underlying structure of these interactions, it can generate a clean, stabilized sequence of the workflow. This removes common issues like cursor jitters, slow page loads, or accidental navigation errors that typically require a user to restart a recording.
Once the flow is captured, Velo uses synthetic media to produce the final asset. The platform creates an AI avatar that uses the creator’s likeness and voice to present the material. This allows the person who built the product to remain the face of the presentation without needing to be on camera or follow a script during the initial recording. The system includes an editor that can rewrite scripts with context, adjust cursor styles, and apply brand kits to ensure the final output matches corporate standards.
Founders Sourav Sanyal (CEO) and Ajay Kumar (CTO) started the company following Sanyal's experience trying to record a simple 15-minute product walkthrough. After five takes and two hours of effort, the founders realized that the current tools for "showing" software had not kept pace with the tools for "building" it. They aimed to create a solution that gives builders the same level of leverage for presentation that tools like Cursor or Claude provide for development.
Based on a lean team of eight people, the company is engineering-heavy, with four engineers and a specialized ML engineer. This technical focus is directed at the challenges of high-fidelity voice cloning and the semantic understanding required for the browser agent to accurately interpret complex software flows.
Velo sits at the intersection of video editing and agentic automation. It competes with established incumbents like Loom by promising higher production value with less effort. It also challenges interactive demo tools like Navattic by providing a more traditional, linear video format that is preferred for platforms like LinkedIn, YouTube, or email marketing.
Existing users include teams at Botminds AI, Signeasy, and Experfy, who use the platform for sales demos, internal training, and customer success walkthroughs. By providing shareable links and detailed analytics, Velo attempts to be the primary interface for how software is explained across the knowledge economy.
AI-powered product demos created by a browser agent with custom avatars.
Velo is hiring