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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

["AI On-Model Generator (Flat-lay to high-fidelity model conversion)","Diversity & Inclusion Suite (Customizable model ethnicity, size, and age)","Brand-Aware Image Optimizer (Ensures alignment with specific brand lighting and aesthetic guidelines)","Automated Scene & Background Generator"]

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

["Early-access fashion retailers","Beauty e-commerce brands","Apparel manufacturers"]

Major milestones

["Won the Wharton Startup Challenge","Raised $1.5M Pre-seed funding (2022)","Raised $6M Seed round led by Work-Bench (Feb 2024)","Launched 'brand-aware' visual commerce platform for high-fidelity model generation"]

Growth metrics

Winner of the Wharton Startup Challenge; Team size expanded to 11-50 employees; Successfully transitioned from Pre-seed to a $6M Seed round within 18 months.

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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