Startup profile for Mirage: latest funding, latest known valuation, total disclosed funding, investors, status, sources, and why the company is interesting. Part of the Venture Capital Tracker startup directory.

Startup profile · funding coverage

Mirage funding, valuation and investors

AI video company (formerly Captions) building agentic video editing and marketing tools.

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Funding, valuation & investors

Answer-first snapshot

Latest funding

Growth

$75M · March 2026

Latest known valuation

Not publicly disclosed

Total disclosed equity funding

$75M

Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.

Current status

private

growth · New York, NY

Investors in latest funding

Lead: General Catalyst CVF

Sources: latest funding Last verified: 2026-07-25

Overview

Mirage (formerly Captions) builds AI models and apps for professional video creation and editing through natural language. The company's Captions app handles end-to-end workflows from raw footage to polished video. Mirage raised $75M in growth financing from General Catalyst's Customer Value Fund in March 2026, bringing total funding above $175M.

Why Mirage is interesting

Rebranded from Captions to Mirage as an AI lab — $75M growth financing from General Catalyst CVF with 20M+ users and 250M+ videos created.

Product & use cases

Mirage develops AI video models for pacing, framing, and agentic editing. Captions is the flagship consumer/prosumer app; the company also sells enterprise video creation suites for marketing teams.

  • AI video editing for creators and influencers
  • Bulk marketing video production for enterprises
  • Short-form social video with agentic editing prompts

Key facts

  • Growth (Mar 2026): $75M from General Catalyst CVF — Fortune, TechCrunch
  • 20M+ users, 250M+ videos created — company blog
  • Rebranded from Captions to Mirage in 2025-2026

Funding history (newest first)

Investors in our directory

Funds linked from Mirage's profile — open a fund page for stage focus and related deal articles.

Competitive landscape

Edge: 20M+ users and proven unit economics attracted General Catalyst CVF non-dilutive growth capital — distribution scale rare among AI video startups.

AI video editing is crowded with CapCut's free distribution and Runway's generative models. Mirage/Captions differentiated on agentic full-workflow editing and taste. Enterprise marketing expansion tests whether creator traction converts to B2B ARPU.

  • CapCut (ByteDance) direct

    Dominant free video editor; massive distribution.

  • Runway direct

    AI video generation and editing.

  • Descript direct

    AI video/audio editing for creators.

  • Meta Edits direct

    Meta's AI video editing app.

Notable stories

  • Mirage rebranded from Captions to position as an AI lab building models for advertising and marketing, not just a consumer editing app — per TechCrunch March 2026.

Industries

AI & Machine Learning Media & Entertainment Enterprise SaaS

Related funding articles

Venture Capital Tracker pieces that cover Mirage's financing or category context.

FAQs about Mirage

Practical answers founders, operators, and investors typically search for.

AI video company (formerly Captions) building agentic video editing.
Captions is the product; Mirage is the company name after 2025 rebrand.
General Catalyst (/fund/general-catalyst) CVF led $75M growth round. Prior backers include a16z, Index, Kleiner, Sequoia.
Over $175M total per company announcements.
CapCut is free with ByteDance distribution. Mirage/Captions focuses on agentic professional editing.
HubSpot, CoreWeave, King among enterprise customers cited in press.
GC CVF investment suggests strong unit economics; exact profitability not disclosed.
2025-2026 from Captions to Mirage.
AI handles full workflow from footage to finished video via text prompts.
a16z-backed AI media company.

By Venture Capital Tracker

Last updated:

Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.