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Mirage Tech Stack

AI video generation platform with foundation models for creators and businesses

Software Development New York, NY 51–200 employees Privately Held
mirage.app LinkedIn

Mirage builds full-stack foundation models for video creation, spanning text-to-video generation, AI editing, avatar synthesis, and caption automation. The stack reveals a dual-track engineering posture: frontend (React, TypeScript, iOS/SwiftUI) for creator-facing tools alongside GPU-heavy ML infrastructure (PyTorch, CUDA, Triton) for model training and inference. Active hiring across marketing (7 roles) and engineering (6 roles) reflects a product-led growth phase paired with scaling pressures on compute efficiency and user acquisition.

Tech Stack 25 technologies

Core StackFigma React TypeScript Python Node.js SwiftUI PyTorch Iterable Braze Customer.io BigQuery AppsFlyer Adobe Photoshop Adobe Illustrator Apple Search Ads iOS RxSwift ReactiveSwift AVFoundation Core Animation Realm OpenGL CUDA Triton

What Mirage Is Building

◆Challenges

  • Scaling paid acquisition
  • Technical and creative challenges
  • Churn reduction
  • Improving hiring velocity
  • Efficient growth
  • Scaling large-scale video models
  • Optimizing compute-efficient low-latency generation
  • Budget scaling
  • Scaling llm training and inference
  • Reducing latency for multimodal inputs

▲Active Projects

  • Web and mobile experiences
  • A/b testing for subscription metrics
  • Captions by mirage
  • Ios creative tools development
  • Graphics rendering and audio/video processing
  • Novel modeling approaches for large-scale video models
  • Scaling strategies for large-scale video models
  • Improving audio-to-video synchronization
  • Design system evolution
  • Distributed experimentation system

Hiring Activity

Accelerating20 roles · 20 in 30d

Department

Marketing
7
Engineering
6
Product
3
HR
2
Research
2
Design
1

Seniority

Mid
8
Senior
8
Manager
3
Junior
1
Lead
1
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About Mirage

Mirage operates a consumer-facing AI video platform used by over 20 million creators and businesses, with a flagship product (Captions) handling video captioning at scale. The company spans web and mobile experiences, building iOS creative tools alongside backend video processing pipelines for graphics rendering and audio synchronization. Technical roadmap shows focus on scaling large-scale video models, reducing multimodal input latency, and optimizing compute-efficient generation—core friction points for GPU-constrained generative AI products. Based in New York with active hiring in the US and Canada.

HeadquartersNew York, NY
Company Size51–200 employees
Hiring MarketsCanada, United States

Frequently Asked Questions

What tech stack does Mirage use?

Frontend: React, TypeScript, iOS (SwiftUI, RxSwift, AVFoundation). ML/inference: PyTorch, CUDA, Triton. Data: BigQuery. Analytics: AppsFlyer, Braze, Iterable. Design: Figma, Adobe tools.

What is Mirage working on?

iOS creative tools, web/mobile platform scaling, novel video model architectures, audio-to-video sync, compute-efficient low-latency generation, and a distributed experimentation system for subscription metrics.

How this profile is built

Mirage's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.