<p><b>Startup description</b></p><p>My product is an AI video localisation platform that helps businesses, creators, agencies, and media teams turn existing video content into multilingual versions using AI dubbing, voice generation, and lip-sync technology.</p><p>The project started from a clear problem I had seen across years of working in audio, video, branding, and production: traditional dubbing and localisation is slow, expensive, fragmented, and difficult to scale. Brands and content teams often need translators, voice artists, editors, audio engineers, video teams, and multiple tools just to create one localised version of a video.</p><p>It was built to make that workflow faster and more accessible. The platform gives users a way to create dubbed, voiced, and lip-synced video content for different markets without rebuilding the whole production process from scratch.</p><p>The business is early-stage but has already shown commercial validation, including paying users, strong market interest, and enterprise-level conversations.</p><p><b>Key highlights:</b></p><ul> <li>AI video localisation platform</li> <li>Dubbing, voice generation, and lip-sync workflow</li> <li>Built for creators, agencies, production houses, media companies, e-learning providers, and brands</li> <li>Approximately $96,000 collected during the first three months of commercial activity</li> <li>300+ paid users/customers during early launch activity</li> <li>Self-serve churn has been under 3% based on early commercial usage</li> <li>Enterprise pilots and commercial conversations underway</li> <li>Large market opportunity as platforms, creators, and businesses increasingly need multilingual video content</li> <li>Clear opportunity for a buyer to scale through sales, partnerships, SEO, paid ads, and agency channels</li> </ul> <p><b>Team</b></p><p>It has been founder-led, with support from technical and commercial team members.</p><p>The founder has led the overall business strategy, product direction, customer conversations, investor discussions, commercial positioning, and sales activity.</p><p>Technical work has been handled by the product/engineering side of the business, including platform development, AI workflow integration, API/vendor setup, infrastructure, and product improvements.</p><p>Commercial support has included sales, outreach, enterprise conversations, and business development activity.</p><p>The business would suit a buyer who either has technical resources in-house or is comfortable managing a lean technical team and third-party AI/API suppliers.</p><p><b>Tech Stack</b></p><p>It uses a combination of platform software, AI tools, and third-party technology integrations to deliver video localisation workflows.</p><p><b>The core technology stack includes:</b></p><ul> <li>Web platform for users to access and manage projects</li> <li>AI voice generation/text-to-speech capability</li> <li>AI dubbing workflow</li> <li>Lip-sync technology integration</li> <li>Video processing workflow</li> <li>Third-party API/vendor integrations where required</li> <li>Cloud infrastructure for hosting, storage, processing, and delivery</li> <li>Website, brand assets, sales materials, and operational documentation</li> </ul> <p>The platform has been designed around practical video localisation workflows rather than being positioned as just another standalone AI dubbing tool. The value is in bringing the workflow together for users who want to create multilingual content faster.</p><p><b>Marketing and growth</b></p><p>Growth to date has mainly come from founder-led sales, direct outreach, referrals, social media activity, product demos, and inbound interest.</p><p><b>The main growth activities have included:</b></p><ul> <li>Direct outreach to agencies, production houses, media companies, creators, and content owners</li> <li>Founder-led demos and sales conversations</li> <li>LinkedIn content and business development</li> <li>Warm introductions and referrals</li> <li>Social proof from AI video/dubbing examples</li> <li>Enterprise and partnership conversations</li> </ul> <p>The business has not yet been scaled through paid advertising, SEO, affiliate marketing, or structured content marketing. This is a major opportunity for a buyer. A new owner could grow it by building predictable acquisition channels around SEO, YouTube, LinkedIn, paid search, creator partnerships, agency partnerships, and outbound sales.</p><p><b>Revenue and profit</b></p><p>It is an early-stage business and has not yet been operating commercially for a full 12 months.</p><p>The business generated approximately $96,000 in revenue collected during the first three months of commercial activity.</p><p>Revenue has come from early commercial users, platform access, and business/enterprise opportunities. The business also has potential for recurring revenue through SaaS plans, usage-based billing, enterprise contracts, and agency/customer retainers.</p><p>Financials should be viewed as early commercial validation rather than a mature, optimised SaaS business. The company has been in product development, launch, and early commercial validation mode, so profit is not yet the main indicator of the opportunity.</p><p><b>Important metrics:</b></p><ul> <li>Revenue collected in early commercial activity: approximately $96,000</li> <li>Average monthly net revenue over six months: approximately $16,000</li> <li>Churn: under 3% based on early self-serve activity</li> <li>Gross margin: dependent on usage, vendor costs, AI processing, and selected workflow</li> <li>CAC: not yet fully established because growth has mainly been founder-led</li> <li>LTV: not yet fully established due to the early stage of the business</li> <li>ARR/MRR: still developing as the business moves from early commercial validation into repeatable SaaS and enterprise sales.</li> </ul> <p><b>Return on investment</b></p><p>A buyer could potentially achieve return on investment by scaling the existing platform through stronger commercial execution.</p><p><b>The main routes to ROI include:</b></p><ul> <li>Converting more self-serve users into recurring paid plans</li> <li>Selling enterprise or agency packages</li> <li>Building partnerships with production houses, media companies, localisation agencies, and e-learning providers</li> <li>Creating managed service packages around AI dubbing and video localisation</li> <li>Adding SEO and paid acquisition</li> <li>Improving onboarding and retention</li> <li>Expanding into YouTube creators, media libraries, training content, and global brands</li> </ul> <p>The payback period will depend on the buyer’s acquisition price, operating costs, growth strategy, and ability to convert existing demand into repeatable revenue.</p><p>A strategic buyer with an existing customer base, agency operation, localisation business, media network, or creator audience could potentially accelerate ROI faster than a buyer starting from scratch.</p><p><b>Startup assets</b></p><ul> <li>The brand name and associated branding assets</li> <li>Website and domain</li> <li>Platform/software assets, subject to final technical handover scope</li> <li>AI dubbing, voice generation, and lip-sync workflows</li> <li>Existing product structure and operational setup</li> <li>Customer/user data, subject to privacy and legal requirements</li> <li>Existing commercial materials</li> <li>Sales collateral and pitch materials</li> <li>Pricing documents</li> <li>Business documentation</li> <li>Social media accounts and marketing assets where transferable</li> <li>Supplier/API/vendor setup details where transferable</li> <li>Operational documentation and process notes</li> <li>Lead and pipeline information where transferable</li> <li>Founder handover support for an agreed transition period</li> </ul> <p>Any third-party APIs, software dependencies, licensed tools, or vendor accounts would be transferred or restructured where possible, subject to each provider’s terms and approval.</p><p><b>Risks</b></p><p>As with any early-stage SaaS/AI business, there are risks a buyer should understand.</p><p><b>Key risks include:</b></p><ul> <li>The business is still early-stage and has not yet built a long-term revenue history</li> <li>Revenue has been driven heavily by founder-led activity</li> <li>Some parts of the workflow may rely on third-party AI/API providers</li> <li>AI video and dubbing is a fast-moving and competitive market</li> <li>Enterprise sales may take time to convert</li> <li>Product quality must remain high as customer expectations increase</li> <li>Buyer may need technical support to maintain and improve the platform</li> <li>Usage costs can vary depending on video volume, processing, and vendor pricing</li> </ul> <p>These risks can be reduced by improving the sales process, strengthening vendor relationships, building recurring revenue plans, focusing on specific customer segments, improving onboarding, and developing a clear technical roadmap.</p><p><b>Summary</b></p><p>It is a strong early-stage opportunity in the AI video localisation market.</p><p>The product is already built around a clear and growing need: businesses and creators want to reach global audiences, but traditional dubbing and localisation is too slow, too expensive, and too fragmented.</p><p>It gives a buyer a platform, brand, early revenue, paying users, commercial validation, and a clear market angle in AI dubbing, voice generation, lip-sync, and multilingual video production.</p><p>The biggest upside is commercial execution. A buyer with experience in SaaS, AI tools, video production, media, localisation, agency services, or B2B sales could take the existing foundation and scale it through stronger marketing, partnerships, outbound sales, and recurring revenue packages.</p><p>This could be especially valuable for a buyer who already has access to creators, agencies, production teams, media companies, e-learning customers, or businesses producing regular video content.</p><p>✅&nbsp;$96,000 TTM revenue</p><p>✅ 300 customers</p><p>✅ Business model: SaaS</p><p>✅ Built with AWS, Vercel, Firebase</p>