Delvify

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About
Delvify is an AI-driven materials platform specifically engineered to modernize the fashion industry's supply chain. It acts as a centralized digital hub where brands, suppliers, and manufacturers can connect to discover and manage textiles. By digitizing material libraries, the platform aims to replace fragmented manual workflows—such as tracking updates through disparate spreadsheets and emails—with a single source of truth. This transformation helps teams move from chaotic sourcing processes to confident, data-backed decision-making that aligns with modern fashion cycles. The platform operates using advanced search algorithms that offer both visual and technical discovery. Users can upload a photo of a material sample to find instant visual matches or utilize deep-text filtering to search by specific fiber types, finishes, minimum order quantities (MOQ), and ESG certifications. Beyond discovery, Delvify facilitates deep collaboration through shared pinboards and moodboards. These tools allow cross-functional teams and external partners to approve materials or request revisions in real-time, significantly reducing the friction traditionally found in the fabric approval process. Delvify is designed for a broad range of stakeholders within the apparel industry. Fashion brands use it to gain 24/7 access to supplier libraries, while suppliers benefit from increased visibility and a secure space to showcase their digital inventory. Manufacturers also find value in the platform by utilizing accurate, pre-approved material data from the start, which helps eliminate costly production rework and delays. This interconnected ecosystem ensures that every party in the production chain is working with the same information, leading to higher hit rates for new collections. What sets Delvify apart is its heavy emphasis on sustainability and quantifiable speed. The platform reports that users can reduce sampling waste by 25% and accelerate their time-to-market by 35%. By integrating live inventory tracking and ESG tags directly into the search experience, it enables designers and sourcing managers to make environmentally responsible choices without sacrificing development speed. The tool is purpose-built to help the textile industry transition toward a net-zero economy through precision and reduced physical waste.
Pros & Cons
Visual search capability allows for instant material matching using only a sample photo.
Reduces physical sample waste by 25% through improved first-time selection accuracy.
Provides 24/7 access to live supplier libraries and inventory levels.
Includes specific ESG tags to help teams meet corporate sustainability requirements.
Demonstrates a significant 35% reduction in time-to-market for fashion brands.
Platform effectiveness relies on suppliers actively digitizing their material libraries.
Pricing is not transparently listed and requires a custom demo booking.
The tool is exclusively specialized for the fashion and apparel industry.
Use Cases
Fashion design teams can use digital pinboards to organize fabrics and share moodboards with stakeholders for instant feedback.
Sourcing managers can search for specific fibers or finishes while filtering for MOQ and ESG compliance to meet strict production targets.
Textile suppliers can digitize their inventory to increase their visibility to global brands and reduce manual inquiry handling.
Manufacturers can access approved material specifications in real-time to eliminate production rework and reduce delays.
Platform
Features
• ai-powered visual search
• real-time team collaboration
• live inventory tracking
• supplier library digitization
• digital pinboards
• side-by-side material comparison
• esg and sustainability tags
• material specification filtering
FAQs
What search methods does Delvify support?
Delvify supports visual search, allowing users to upload a photo of a sample to find matches, as well as text-based search for filtering by fiber, finish, and MOQ.
How does the platform help with sustainability goals?
The tool helps reduce textile waste by 25% through accurate fabric selection and includes built-in ESG tags to provide transparency within the supply chain.
Can I collaborate with external suppliers on the platform?
Yes, Delvify provides built-in collaboration tools that allow brands to share collections and moodboards with suppliers for real-time approvals.
What is the typical impact on development speed?
Users typically see a 35% faster time-to-market and a 15-second material search experience compared to traditional manual methods.
Pricing Plans
Custom
Unknown Price• AI-powered visual search
• Digital material library
• Real-time collaboration tools
• ESG tag tracking
• Live inventory access
• Supplier library management
• Side-by-side material comparison
• Pinboard and moodboard creation
Job Opportunities
Computer Vision / ML Scientist
Streamline fashion material sourcing with AI-powered visual search and real-time collaboration tools to reduce sample waste and accelerate product development.
Benefits:
Attractive remuneration
New and exciting work to make a more sustainable world
Share option scheme in a fast-growing start-up
Matching pension opportunity
Travel to our offices
Education Requirements:
Bachelor’s degree in statistics, machine learning, or related discipline
PhD or Masters in Computer Science/Electrical Engineering or related fields
Experience Requirements:
Experience using frameworks such as Tensorflow, Keras, Pytorch. Etc.
Experiences with computer vision project using image classification, object detection, image segmentation and image mask
Deep understanding of machine learning model hosting for inference and model optimization
Coding skills in Python, Java or C++
Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis
Other Requirements:
Ability to work in a fast-paced start-up environment
Proficiency with a statistical analysis package and associated scripting languages such as Python, R, Matlab, SAS
Emerging talent welcome to apply
Responsibilities:
Use the data to research, design, implement, and deploy scalable computer vision, deep learning, and image processing solutions
Develop tools to assist with algorithm development, algorithm testing, and image quality evaluation and validation
Work closely with infrastructure engineers to make sure that your algorithms will effectively scale
Measure the impact of your changes and come up with ideas for how to maximize that impact
Prepare the reporting of data analysed in visual form
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Account Manager - Delvify MMP
Streamline fashion material sourcing with AI-powered visual search and real-time collaboration tools to reduce sample waste and accelerate product development.
Benefits:
Share scheme
Company pension
Office snacks
Education Requirements:
Bachelor’s degree in business, marketing, or a related field
Experience Requirements:
1-2+ years of experience in sales, preferably in the fashion industry or related field
Proven track record of meeting or exceeding sales targets
Excellent communication, negotiation, and interpersonal skills
Strong organizational and time management skills
Knowledge of the fashion industry and familiarity with fashion and technology trends
Other Requirements:
Self-motivated, proactive, and able to work independently as well as part of a team
Proficiency in Microsoft Office and CRM software
Responsibilities:
Drive revenue growth and meet or exceed sales targets
Identify and target potential clients, build and maintain a pipeline of leads
Understand client’s needs and tailor solutions to meet their business objectives
Onboard customers to Delvify’s MMP
Build and maintain strong relationships with clients
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Full Stack Developer (Frontend/Backend)
Streamline fashion material sourcing with AI-powered visual search and real-time collaboration tools to reduce sample waste and accelerate product development.
Benefits:
Share scheme
Company pension
Office snacks
Healthcare
Experience Requirements:
Experience working in a development environment and across a range of skillsets
Node.js and ReactJS
MongoDB and SQL Database Systems (MySQL, Postgres)
No-SQL (GraphQL, DynamoDB)
Cloud architecture, specifically AWS (S3, EC2) and Azure
Other Requirements:
Experience with Agile, Scrum methodology in DevOps environment
Experience with Micro Services with containerisation hosted on AWS
Git version control
Responsibilities:
Working on Frontend and/or Backend using modern micro-service applications
Building the stack that hosts our AI models
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Ratings & Reviews
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