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Enterprisesand 2 more customers valuesLess
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More details
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- Commercial Company
- Ecosystem
- Applications
- Business
- Software Applications
- Specialization
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- Media
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- Enterprises, Consumers, Small Businesses
- Delivery models
- Hosted Software
- Revenue models
- Subscription, Usage Based
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About
Martini builds a collaborative, AI-native platform for professional filmmaking, integrating multiple generative models into workflows for filmmakers, studios, agencies, and other creative professionals. Its differentiator is a virtual film-set approach—with camera positioning, lens and movement controls, reframing, timeline tools, and real-time collaboration—rather than prompt-only video generation.
Market
Martini competes in the professional generative-AI video and filmmaking-software market, which is separating consumer-friendly generators from professional production tools. It positions itself as a model-agnostic “film set for AI video” and collaborative production workspace—closer to “Figma for generative film” than a standalone text-to-video generator. Its differentiation is cinematography-first control combined with multi-model generation, team collaboration, a professional timeline, and XML handoff into established post-production tools.
Martini targets professional filmmakers, artists, creative studios, agencies, and serious production teams creating AI video, with buyer personas including directors, cinematographers, creative leads, and editors. Its customer range spans independent filmmakers and creators through studio and agency teams.
At a Glance
Problem
Martini addresses the mismatch between how filmmakers work and how generative-video tools typically work. Existing systems often reduce direction to prompt-and-seed experimentation, while professional filmmakers think in terms of intentional shots, camera placement, lenses, movement, and collaboration. The result is “prompt roulette”: creators may spend substantial time iterating without reliably getting the precise shot they want.
The pain is also operational. Production teams are forced to stitch together multiple generation, editing, and collaboration tools, creating fragmented workflows and coordination overhead. Martini’s primary use case is therefore collaborative cinematic production—especially for studios, agencies, and filmmakers creating commercials, gallery work, social content, or other short-form films that require repeatable shot direction rather than one-off AI clips.
Product / Service
Martini is a cloud-based AI filmmaking platform that sits on top of multiple third-party image and video models rather than training its own models. It gives users a virtual film set with camera-position, lens, and movement controls; lets them enter generated or uploaded images and video to reframe and reshoot; and supports composition in virtual 2D or 3D environments. The benefit is a more cinematography-native way to direct AI output and explore shots.
It also provides a production layer for teams: real-time sharing of prompts, edits, and feedback; a built-in timeline for rough assemblies; and XML export into professional editing software. Martini is delivered as a web subscription and usage platform. Its current pricing uses “Olives,” with one Olive equal to $0.10 and generation charged by the second across available models; the site lists a free Indie plan, a $30-per-month Pro plan for solo professionals, a $150-per-month Studio plan with team controls, and custom Enterprise plans.
Market
Martini competes in the emerging market for professional AI-video production and filmmaking workflow software: a layer above raw generative models that aims to bring cinematography, editing, and collaboration into one environment. Its adjacent and direct alternatives include Runway and LTX Studio, as well as newer production-oriented platforms such as Electric Sheep, Arcana Labs, and MovieFlo.AI. Martini differentiates around camera control and collaborative production rather than simply offering another text-to-video generator.
The company appears to be early-stage but commercially launched. Martini says more than 200 films have been made with the platform, including TV commercials, gallery artwork, and viral online content; it is listed by Y Combinator as a Winter 2026 company founded in 2025 by Long Hoang and Koh Terai, with a two-person team in San Francisco. Live free and paid plans establish a monetization path, but the public materials reviewed do not disclose revenue, paying-customer counts, or funding, so the available evidence supports early traction rather than proof of scaled commercial adoption.
Founders & Leadership
Funding History
Y Combinator
Recent News
Martini presented its AI-video production workspace on Y Combinator’s Launch platform as a collaborative tool for filmmakers, studios, and creative agencies. The offering is described as a film-set-style workspace for creating AI videos.
A public profile published August 13, 2026, reported that Martini is backed by Y Combinator’s Winter 2026 batch and is building a professional AI-video production platform with camera controls, multi-model orchestration, and team collaboration. Public company funding data records a $500,000 seed round from Y Combinator.
VP Land reported that Martini debuted at NAB 2026 with a pitch aimed at professional filmmakers. The article describes Martini as a browser-based platform for generative AI image and video production.
VP Land covered Martini’s launch of a collaborative workspace that gives filmmakers virtual camera positioning, lens and movement controls, reframing and reshooting tools, and shot-composition capabilities for AI-generated video. The platform also includes real-time collaboration, a timeline, XML export, and integrated image, video, and world models.
Y Combinator listed Martini in its Winter 2026 batch and described it as a collaborative, AI-native platform for professional filmmaking. The company says its tools integrate generative models into professional workflows, and more than 200 films had been made with Martini.
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Get notified when they postBusiness Model
Martini monetizes through subscription plans, reportedly starting at $15 per month, supplemented by usage-based Olive credits that are included with subscriptions or purchased separately for AI generation. It also offers a free tier with public projects and model access to attract users.