Problem/Solution Report

Problem: AI filmmaking has evolved rapidly but remains messy for professionals—tools are fragmented across generation, control, editing, and finishing; model choice changes shot to shot; and editorial integration is brittle. Martini’s own positioning highlights the proliferation of tools and “wild, creative, and crazy workflows,” which distract teams from storytelling and create friction for collaborative production.

Solution: Martini offers a web‑based, collaborative, AI‑native editor that integrates multiple leading models in one professional timeline, then bridges seamlessly into established NLEs through XML export. Concretely, Martini supports top models (e.g., Veo 3/3.1, Kling 2.1/2.5, Runway Gen‑4, Sora 2, and others) and uniquely emphasizes editorial‑grade control such as start‑frame and end‑frame control on compatible models. Creators can generate cinematic AI shots directly in the browser, assemble them in a timeline, and export XML for Adobe Premiere Pro, DaVinci Resolve, and other editors.

Professional value proposition: By unifying model access inside a timeline and providing precise in/out frame controls, Martini reduces hand‑offs and media management complexity while aligning with pro editorial conventions. The XML bridge respects incumbent toolchains, letting studios and agencies bring AI‑generated content into established color, audio, and finishing pipelines without re‑architecting their stack.

Go‑to‑market and community: The company is in early access/beta, courting professional creators and studios via a creative partnership program, and presenting itself as a filmmaker‑led team. This aligns with the need for hands‑on support, feature co‑development, and credible demonstrations of pro‑grade output.

Market and Competitors Report

Market context: Generative video tooling is maturing quickly. Runway, Pika, and Luma lead with frontier models and UIs tailored for creators; Adobe Premiere is embedding AI into mainstream editing; Krea aggregates multiple models with asset workflows for creators; and ComfyUI powers advanced graph‑based pipelines for technically sophisticated users. Against this backdrop, Martini’s differentiation is a pro‑first, collaborative, model‑agnostic editor with editorially precise control and NLE‑ready XML export.

Key competitors and benchmarks:

• Runway: Leader in generative video with Gen‑4.5, positioning itself as “the world’s best video model,” and signaling enterprise/studio credibility through partnerships (e.g., Lionsgate, NVIDIA). Strong at frontier quality and creative control within its own ecosystem.
• Pika: Popular creator‑oriented generative video platform emphasizing ease, speed, and creative experimentation.
• Luma Dream Machine: Frontier model for video generation with high‑fidelity outputs and viral creator adoption.
• Adobe Premiere Pro: Dominant NLE infusing AI (e.g., Object Mask), reinforcing its centrality to pro post workflows and offering mobile editing.
• Krea: Aggregates leading image/video models (Veo, Kling, Runway, etc.) in one subscription with asset management, upscaling, LoRA fine‑tuning—appealing to prosumers and some professional teams.
• ComfyUI: Node/graph interface enabling highly customizable Stable Diffusion/Gen‑AI pipelines, favored by technical power users and studios building bespoke workflows.

Martini’s competitive edge: Unlike single‑model UIs or closed ecosystems, Martini integrates multiple best‑in‑class models directly into a professional web timeline and prioritizes editorial accuracy (start/end frame control where supported), then hands off via XML into Premiere/Resolve. This lowers switching costs, preserves established finishing workflows, and enables teams to pick the best model per shot inside a single collaborative environment. For discerning professional buyers, these workflow assurances—plus the founders’ filmmaking pedigree—can be decisive advantages.

Risks & considerations: Rapid model commoditization and feature replication by incumbents; success hinges on sustaining superior editorial controls, collaboration features, latency/cost efficiency, and deep NLE interoperability.

Sources include company site, model‑support page, and competitor product pages.

Founders and Background Report

Martini is founded by Koh Terai and Long Hoang. The company publicly presents itself as “built by filmmakers, for filmmakers,” which is consistent with the founders’ blended backgrounds in cinematography, design, and software engineering. The site’s Credits page lists Koh Terai as Director of Photography and Long Hoang as Director of Technology, underscoring a dual leadership model that marries professional filmmaking craft with deep technical execution.

Koh Terai is an award‑screened cinematographer with formal training in design. Y Combinator describes him as a “Cannes‑screened cinematographer” with a Stanford Design background and CS experience. Stanford’s d.school directory further confirms he pursued the MS in Design, Class of 2025. Outside of academia, Koh has a filmography as a cinematographer with credits including Mosaic (2017) and other shorts, reflecting practical on‑set and visual storytelling experience relevant to Martini’s professional focus.

Long Hoang leads technology for Martini and brings a long‑standing engineering and entrepreneurial profile. His personal portfolio chronicles early entrepreneurship, building apps and online services since age 11, plus involvement in robotics (HKUST robotics team/underwater ROVs), microservices, IoT, and language/tooling projects (e.g., a Turing‑complete functional language). Public social profiles present an engineering‑first persona (“Turns Beer into Code”), and the YC profile lists him as a founder. Together, the founders bring complementary strengths—cinematography/design and systems/engineering—aligned with Martini’s goal of elevating AI filmmaking into professional‑grade workflows.

Martini is part of Y Combinator’s Winter 2026 batch, founded in 2025 and based in San Francisco, indicating early‑stage momentum and access to YC’s network and guidance for go‑to‑market and product iteration. The company is associated with C47 Inc. (as shown in the site footer), and lists direct contact for partnerships and inquiries.