Delvify

Streamline fashion material sourcing with AI-powered visual search and real-time collaboration tools to reduce sample waste and accelerate product development.

Delvify screenshot

About Delvify

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

Pros

  • 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.

Cons

  • 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.

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

Pricing

Custom

Price varies

  • 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

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.

Open roles

All AI jobs

Computer Vision / ML Scientist

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

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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