Oxolo extracts selling points from any e-commerce URL, writes a script, adds a digital presenter, and produces a formatted ad for YouTube, TikTok, or Amazon – in minutes, not days.
ENTRY ANGLES
Video optimization platforms for conversion rate improvement · AI-powered A/B testing automation for video content · Measurement and optimization infrastructure for video performance
VERTICALS
CAPABILITIES
Optimization infrastructure and measurement layer, AI-driven video iteration and generation, A/B testing and performance analytics
WHICH IS WHY B2B PLATFORMS ...
“The old truth that B2B startups are better applies to AI especially. If you can embed your platform into a company's workflow, they'll be reluctant to pull it back out”
Pointing a URL at a product page and getting a finished video ad back in minutes isn't a feature – it's a workflow transformation for e-commerce teams who currently spend days and significant budget on the same outcome. That's the core offering from Oxolo: paste a product page link, and the platform's AI extracts the key selling points, writes a script, adds a digital presenter, and produces a formatted video ready for YouTube, TikTok, Amazon, or whatever channel is needed.
The output is editable. Users can revise the AI-written copy, swap the presenter, add text overlays, drop in custom scenes. A Shopify plugin is in development for users who want to integrate creation and insertion directly into their store workflow; API access is available for everyone else.
Pricing is credit-based: creating a video costs 5 credits, with revisions and optimizations at 1 credit each. Subscription tiers run from $24.99 per month for 25 credits to $799 for 6,000, with enterprise pricing above that.
Oxolo's most distinctive capability isn't video creation – it's video optimization. The platform tracks engagement analytics when video is embedded via its link, and surfaces the data in a dashboard. From there, users can run A/B tests across video variants, or hit "optimize with AI" to generate a new version designed to improve on the metrics from the previous one.
The company is based in Germany, has 160,000 users across 75 countries, adds around 3,500 new users daily, and claims 10x revenue growth. It has just closed its first institutional round at €13M.
The internet has become a video medium. As Videobot noted – [covered here](/review/obychnoe-skoro-stanet-video) – 54% of companies now embed video on their landing pages, and the performance data consistently favors it: pages with video index better in search, hold attention longer, and convert at higher rates. The argument for video in marketing is no longer theoretical.
What remains genuinely hard is production economics. Professional video is expensive and slow. That friction has historically made it a tool available mainly to well-resourced teams. AI generation removes much of that friction – but the competitive landscape in this space is already developing quickly.
Several adjacent startups illustrate the range of approaches. Videobot, which raised €2M in its first round, built a video chatbot format for websites, with meaningfully better conversion results than text-based bots. Gan.ai – [covered here](/review/fishka-dlja-marketinga-i-prodazh) – built a personalization layer on top of recorded video: upload a video, mark moments for personalized data insertion, and the platform generates individual versions for each customer by pulling names and purchase history from a CRM. It raised $5.25M. Viddy – [covered here](/review/nemerenoe-kolichestvo-zhelajushhih-jeto-sdelat), backed by $500K from Y Combinator – converts store traffic through shoppable video widgets that let customers browse and buy without leaving the ad.
Oxolo's combination of automated creation, engagement analytics, and AI-driven iteration puts it toward the more capable end of this spectrum. The investor appetite confirms it: €13M on a first check is a meaningful signal.
The path that brought Oxolo here is worth noting. The founders have been working on AI and video since 2020 – an avatar generation product for public figures ran into legal complications; a children's AI companion hit voice recognition problems. The pivot to B2B was explicit: "It's hard to build an AI app that makes money. There are many beautiful technology platforms solving no real problems," the founder said. "The old truth that B2B startups are better applies to AI especially. If you can embed your platform into a company's workflow, they'll be reluctant to pull it back out – which is why B2B platforms retain customers well, and why investors like them."
The opportunity space is video plus AI plus B2B. Video is the structural trend; AI is the enabling change; B2B is what transforms a consumer novelty into something people pay for consistently.
The most actionable direction is building platforms that use video to improve conversion – from ad impressions or page visits into purchases. The range of viable approaches is wide, from simpler tools like Viddy to more comprehensive platforms like Oxolo. But the shared requirement across all of them is optimization infrastructure. Inserting a video somewhere isn't the product; making it perform measurably better over time is. Viddy automates A/B testing across landing page templates; Oxolo automates optimization of the video content itself. Any platform in this category that skips the measurement layer is leaving the most defensible part of the value proposition on the table.
Oxolo's current position – rapidly growing users, AI-driven iteration, and a clear B2B embedding thesis – makes it a useful reference point. The founders spent three years finding their product-market fit in this space. That accumulated judgment is visible in the architecture.