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Flock

Category: AI in Marketing

An AI-native visual commerce platform that enables fashion and beauty brands to generate high-fidelity, brand-consistent on-model imagery from flat lays or ghost mannequin photos. Flock was founded in 2022. The company is led by Manvitha Mallela. Based in New York, USA. Team size: 11-50. Total funding raised: $7.5M. Latest round: Seed ($6.0M, Feb 2024). Key investors include Work-Bench, January Ventures, Red Bike Capital, Outlander VC, AI Furnace, Red Swan Ventures, F4 Fund, Hustle Fund, Dorm Room Fund, MBA Fund.

Founded
2022
Headquarters
New York, USA
Team size
11-50
Total funding
$7.5M

Value proposition

Eliminates the 'content bottleneck' by replacing expensive, slow traditional photoshoots with instant AI-generated imagery, while increasing conversion through hyper-personalized 'one-to-one' commerce.

Products and solutions

Brand-Trained Visuals / AI On-Model Generator (flat-lay to high-fidelity model conversion), AI-Generated Models (diversity across ethnicity, size, age), Virtual Try-On, Visual Analytics (A/B tests and conversion-informed optimization), Dynamic Visual Delivery / personalization across channels, Brand DNA training (200+ brand-specific visual parameters)

Unique value

Unlike generic image generators, Flock is 'brand-aware,' meaning it preserves the specific visual identity and garment integrity of a label while allowing for infinite model variations.

Target customer

Fashion and beauty brands, e-commerce retailers, and apparel manufacturers looking to scale content production.

Industries served

Fashion & Apparel, Beauty & Cosmetics, E-commerce, Retail Technology

Technology advantage

Combines proprietary deep learning models with a 'merchandiser-first' workflow designed by founders with executive experience at Walmart and Bloomingdale's, ensuring the AI solves actual retail operational hurdles.

How they differentiate

Flock differentiates through 'brand-aware' generative AI that preserves specific garment integrity and brand-specific lighting/aesthetics, rather than just generating generic human models. It is built by retail veterans from Walmart and Bloomingdale's to solve specific merchandising bottlenecks.

Main competitors

Botika, Lalaland.ai, Vue.ai (Mad Street Den), Veesual

Key partnerships

Work-Bench (Lead Investor/Strategic Partner), Early-access fashion and beauty retail partners, Wharton Startup Challenge (Winner/Alumni network)

Notable customers

Billion-dollar fashion and beauty brands (enterprise), Global luxury accessories holding company, $1B+ multi-brand apparel holding company, Heritage women's fashion brand

Major milestones

Won the Wharton Startup Challenge, Raised $1.5M Pre-seed led by Outlander VC (Jun 2024), Raised $6M Seed round led by Work-Bench (Feb 2026), Launched brand-aware visual commerce platform for high-fidelity model generation, Expanded into virtual try-on and visual analytics for fashion ecommerce

Growth metrics

Winner of the Wharton Startup Challenge; ~42 employees (Tracxn as of Jun 2026); Raised $1.5M Pre-seed (Jun 2024) then $6M Seed (Feb 2026) for $7.5M total; customers report up to 90% photoshoot cost savings and 30%+ conversion lift.

Market positioning

Enterprise-grade AI visual commerce platform for fashion and beauty brands.

Geographic focus

North America (Headquartered in New York), with a global reach for e-commerce retailers.

Patents and IP

No registered patents publicly disclosed; utilizes proprietary fine-tuned diffusion models and datasets.

About Manvitha Mallela

Manvitha (Vita) Mallela is a retail and e-commerce expert with over a decade of experience. She previously served as a Senior Category Manager at Walmart (via the Jet.com acquisition) and held merchandising roles at Bloomingdale's. She holds an MBA from The Wharton School and a BS from NYU Stern.

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