Velo 3.0

Product Introduction

1. Definition: Velo 3.0 is an AI-powered video infrastructure platform designed for enterprise and business use. It technically functions as a multimodal AI system that ingests company context (documents, URLs, screenshots, CRM data) and user intent (via prompts or screen recordings) to autonomously generate, edit, localize, and host structured video content.
2. Core Value Proposition: It exists to automate and systematize the creation of reliable, on-brand video content at scale, directly from a company's existing knowledge base. Its primary value is transforming static documentation and repeated verbal explanations into dynamic, updatable, and distributable video assets for demos, training, and support, thereby saving significant production time and ensuring message consistency.

Main Features

1. Context-Aware Video Generation: Velo's core AI engine grounds video creation in a company's specific knowledge. It works by connecting to data sources via connectors and the Model Context Protocol (MCP), analyzing documents, product pages, help articles, and CRM notes. The AI then uses this context to write accurate scripts, generate relevant visuals, and structure a coherent narrative, ensuring the output is factually correct and tailored to the company's terminology and processes.
2. Multimodal Input to Finished Video: The platform accepts two primary inputs: screen recordings or text prompts. From a screen recording, Velo's AI analyzes the visual flow, generates a complementary script, and adds narration. From a text prompt, it builds the entire video from scratch—script, visuals, and voiceover. This feature leverages automatic speech generation, potentially using a cloned voice, and AI-driven visual sequencing to produce a polished cut ready for distribution.
3. Agentic Editing and One-Click Localization: Instead of manual timeline editing, users edit videos by typing text-based changes (e.g., "change the narration in the second scene to mention the new API"). The AI re-renders the video accordingly. Furthermore, the platform can localize any finished video into 25+ languages with a single click, preserving contextual meaning and technical terminology, which is essential for global training and support materials.

Problems Solved

1. Pain Point: The immense time, cost, and specialized skill required to produce, update, and localize professional-quality video content for business purposes. Manual processes lead to bottlenecks, inconsistent messaging, and outdated materials.
2. Target Audience: Product Marketing Managers, Customer Education/Enablement Teams, Learning & Development (L&D) Specialists, Sales Engineers, Customer Support Managers, and SaaS companies needing scalable demo and onboarding systems.
3. Use Cases: Creating up-to-date product demo videos for sales teams; turning help center articles into personalized support reply videos; converting internal SOPs and compliance docs into engaging training modules; producing multilingual release note videos for global user bases; building a library of on-demand explainer videos for customer self-service.

Unique Advantages

1. Differentiation: Unlike traditional video editors (e.g., Premiere Pro) or simple screen recorders (e.g., Loom), Velo is not just a tool for editing existing footage. It is a full-stack system for creating video from knowledge. Unlike generic AI video generators, Velo is specifically architected for "work video," with deep integrations into company data sources (docs, CRM, KB) and enterprise-grade governance features (SSO, RBAC, brand controls).
2. Key Innovation: Its "AI video infrastructure" approach. The platform's ability to stay "grounded" in live company context via connectors/MCP, its text-based "edit-by-typing" paradigm for non-linear editing, and its one-click, context-aware video localization represent a significant technical innovation in moving video production from a creative project-based model to a scalable, automated content workflow.

Frequently Asked Questions (FAQ)

1. How does Velo 3.0 ensure video content is accurate and on-brand? Velo uses your connected company knowledge bases (docs, CRM, help center) as the primary source for script generation, ensuring factual accuracy. Administrators can set brand rules, voice clones, and approved asset libraries within the platform, which the AI adheres to during generation, guaranteeing consistent, on-brand output across all videos.
2. Can Velo update my existing product demo videos when features change? Yes, a core functionality of Velo is maintaining video currency. Because videos are generated from structured context and prompts, you can update the source documentation or provide a new prompt (e.g., "update the demo to include the new dashboard"), and Velo will regenerate the relevant sections, eliminating the need to re-record and re-edit from scratch.
3. Is Velo 3.0 suitable for creating secure internal training videos? Absolutely. Velo is built for enterprise use, offering features like Single Sign-On (SSO), Role-Based Access Control (RBAC), private video hosting, viewer analytics, and SCORM export for Learning Management System (LMS) integration, making it a secure and compliant platform for internal employee training and onboarding video production.
4. What makes Velo's AI video translation better than just adding subtitles? Velo's one-click localization translates the full video experience: it regenerates the script, synthesizes voiceover in the target language (potentially matching voice characteristics), and adjusts on-screen text/graphics. This goes beyond subtitling by creating a native-viewing experience that preserves contextual nuance and technical terms, crucial for effective training and support.