Raspberry AI Tech Stack

Generative AI design platform for fashion brands and retailers

Software Development New York, New York 11–50 employees Privately Held

Raspberry AI builds generative AI software for fashion product development and merchandising. The stack spans PyTorch, TensorFlow, and Hugging Face for model work, with Adobe Creative Suite and Midjourney/DALL-E for design output—a classic ML-to-creative-tools bridge. Active projects center on diffusion model quality, enterprise sales strategy, and end-to-end design workflows, while pain points cluster around production deployment, model controllability, and scaling enterprise support. The hiring mix is sales-heavy (5 roles) relative to engineering (3), signaling a shift from product-market fit exploration toward revenue scaling.

Tech Stack 29 technologies

Core StackPyTorch AWS Adobe Illustrator Adobe Photoshop Zendesk Intercom Figma React Next.js TypeScript FastAPI Python BigQuery TensorFlow Hugging Face Ashby GCP Azure Midjourney DALL-E Google Docs Google Slides Google Sheets Microsoft 365 Loom HTML CSS Firefly ComfyUI

AdoptingGoogle Docs Google Slides Google Sheets Microsoft 365

What Raspberry AI Is Building

◆Challenges

Transforming design and merchandising processes
Scaling enterprise sales
Building repeatability in high-growth ai startup
Improving diffusion model performance
Deploying prototypes to production
Improving quality of generated designs
Enhancing controllability of generative models
Adopting generative ai in workflows
Reducing user support tickets
Scaling support infrastructure

▲Active Projects

Enterprise-level deals across retail brands
Creative pipeline building
Defining elite enterprise selling in ai era
Improving diffusion model quality and performance
Research on diffusion model architectures
Technical roadmap for creative ai tools
End-to-end design workflows for designers
Enterprise selling strategy development
Repeatability framework for high-growth ai startup
Customer onboarding program

Hiring Activity

Steady15 roles · 5 in 30d

Department

Sales

Support

Engineering

Design

Executive

Product

Seniority

Senior

Junior

Lead

Notable leadership hires: Chief of Staff

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About Raspberry AI

Raspberry AI develops generative AI software that accelerates design and product development for fashion brands and retailers. The platform translates consumer demand analysis into design concepts and marketing campaigns within minutes—compressing a process that traditionally takes months. The product integrates design generation (via diffusion models and Adobe tools), analytics, and campaign customization to help brands reduce time-to-market and increase sell-through likelihood. The company operates from New York and works with enterprise fashion retailers and brands on full design-to-production workflows.

HeadquartersNew York, New York

Company Size11–50 employees

Hiring MarketsUnited States

Frequently Asked Questions

What is Raspberry AI's tech stack?

PyTorch, TensorFlow, Hugging Face, and AWS/GCP/Azure for ML infrastructure. Creative output runs through Adobe Photoshop, Midjourney, DALL-E, and Firefly. Frontend is React/Next.js/TypeScript; backend uses FastAPI and Python with BigQuery for analytics.

What does Raspberry AI's product do?

The platform generates fashion designs and creates personalized marketing campaigns based on consumer demand analysis. It compresses design cycles from months to minutes and includes virtual photoshoot capabilities and audience segmentation for inclusive marketing.