Startup profile · funding coverage
QuiverAI funding, valuation and investors
AI lab generating editable SVG vector graphics from images and text via its Arrow model.
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Funding, valuation & investors
Answer-first snapshotLatest funding
Seed
$8.3M · 2026
Latest known valuation
Not publicly disclosed
Total disclosed equity funding
$8.3M
Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.
Current status
private
seed
Investors in latest funding
Lead: Andreessen Horowitz
Overview
QuiverAI is an AI research lab building vector-native image generation models. Its Arrow 1.0 model generates editable SVG graphics from text prompts and reference images, targeting professional design workflows where raster AI outputs require rework. Founded by Joan Rodriguez (PhD), QuiverAI raised an $8.3M seed round led by Andreessen Horowitz in 2026. The company positions itself against raster-first tools like Midjourney and DALL-E by producing structured vector output that designers can manipulate in Figma, Illustrator, and similar tools. Early focus is on iconography, illustrations, and UI assets where vector fidelity matters more than photorealism.
Why QuiverAI is interesting
Founder Joan Rodriguez treats visuals as structured code, not pixels — Arrow outputs designer-editable SVGs rather than raster images that can't be modified.
Product & use cases
QuiverAI's Arrow model generates editable SVG vector graphics from text and images. Output is structured code designers can modify, unlike raster AI image generators.
- Generating editable icons and illustrations for design systems
- Converting reference images to vector assets for brand work
- Creating UI graphics that scale without quality loss
Key facts
- Seed (2026): $8.3M led by a16z for Arrow 1.0 vector-native model
- Founded by Joan Rodriguez (PhD)
- Generates editable SVG output vs raster AI images
- Targets professional design workflows in Figma and Illustrator
Funding history (newest first)
Seed
2026 $8.3MSource: https://a16z.com/announcement/investing-in-quiverai/
Investors in our directory
Funds linked from QuiverAI's profile — open a fund page for stage focus and related deal articles.
Competitive landscape
Edge: Vector-native output (SVG) rather than raster pixels. Designers get editable assets instead of PNGs that require retracing or manual cleanup.
Most generative AI image tools output raster files unusable in professional vector workflows. QuiverAI and Recraft target the gap between AI generation and designer-ready assets. Adobe Firefly has distribution advantage through Creative Cloud. QuiverAI's Arrow model thesis is that vector-native training produces fundamentally better design outputs than raster-to-vector post-processing.
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Midjourney adjacent
Dominant raster image generator; no native vector output for professional design workflows.
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Adobe Firefly incumbent
Adobe's generative tools integrated into Creative Cloud; adding vector features but not vector-native from inception.
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Recraft direct
AI design tool with vector and brand-consistent generation; closest direct competitor on editable output.
Notable stories
- Founder Joan Rodriguez built QuiverAI on the thesis that AI should generate structured visual code (SVG), not pixels designers cannot edit (a16z announcement, 2026).
Industries
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FAQs about QuiverAI
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