During the first quarter of 2026, $620 million+ of new cash was invested in the apparel industry's recent technology resurgence. These investments were not speculative — rather they directly support artificial intelligence, digital supply chain solutions, circular commerce models, and other technologies that address critical operational issues today.
The following guide divides the market of fashion tech companies according to stage in their value chain. As a team, you can better understand which tools match your team's capabilities, market size, and level of integration.
Executive Summary: Capital is Moving to Tools That Actually Work
As the market matures, investments are shifting from "basic" generative design technology to established Product Lifecycle Management (PLM), as well as more complex 3D supply chain solutions. Generative design technology has finally gained momentum, shifting rapidly into structured PLMs and complex three-dimensional supply chains.
Meanwhile, AI shopping assistants have experienced tremendous increases in funding and demonstrated that the way consumers find products is changing dramatically. Companies in the resale segment are generating real profits. Vinted saw its profits grow 330% from 2024, and this success confirms that circular infrastructure can be a primary source of profit rather than just a programmatic marketing tool.
There is now a trend away from brands purchasing siloed software. They want platforms that connect fabric simulation directly with factories and online stores.
Leading Fashion Tech Companies in AI Design
The transition from a mood board to a factory-ready specification is typically cumbersome and slow. Generative concept tools are helping brands shorten this time frame.
The best systems not only generate beautiful images; they output technical specifications, structural data, material suggestions, and flats for current design teams to realise and build apparel using this technology.
1. Raspberry AI
Raspberry AI uses demand sensing and generative design to align designs with demand. Recently, they raised $24 million from investors including a16z, who are very optimistic about the company.
This product is best suited for brands that need to quickly align new product ideas with the changing demand of consumers.
2. Fashable
Fashable has raised $31 million and specializes in taking simple text prompts and visual moodboards to create complex, multiple-view garments.
This platform is designed to reduce the length of time it takes to create a new garment from the beginning of the design phase through to production. Fashable enables creative directors to visualize an entire collection in hours rather than weeks.
3. Refabric
Refabric has developed an AI design assistant that has raised $20 million. Its unique ability is its focus on the seamless transition from a digital sketch and pattern to the actual hand-off to manufacturing.
This enables Refabric to be a practical choice for brands looking to accelerate the technical development phase of their product lines.
4. Genpire
Genpire has developed a solution that goes beyond concept generation and allows brands to generate tech packs, virtual try-on assets and marketing images from initial sketches.
Genpire's pricing model is based on the use of credits and offers PRO and Enterprise plans, which deliver a 9 to 13-week reduction in time needed to develop a product.
5. Mercer
Mercer (formerly CALA) offers an editing and collaboration platform that uses AI to connect to an enterprise manufacturing network.
The platform features both a freemium plan and special plans tailored to designers. This allows small founder-led brands access to the platform while also able to scale to support mid-market brands.
Specialists in 3D Clothing and Virtual Sampling
Using traditional fabric samples produces significant waste of materials, time, and shipping costs. Digital sampling eliminates these issues, but companies must be specifically skilled in this field to produce successful results.
Investing in 3D software without employing staff with pattern-making capabilities will result in unsuccessful application of digital sampling. The following companies lead the way in the digital twin/virtual sampling space.
1. CLO Virtual Fashion
CLO Virtual Fashion is widely utilized in the fashion industry as a best-in-class 3D clothing simulation and grading application.
The CLO-SET cloud platform enables remote collaboration on CLO-created 3D garments. Employees working with CLO 3D software must be highly skilled in garment construction and pattern making. CLO uses an enterprise licensing model that requires substantial financial investment.
2. Browzwear
Browzwear has developed pattern-authentic 3D models, enables fit revisions and provides grading through VStitcher and Stylezone solutions.
Browzwear's products connect seamlessly with major PLM systems. Its products are ideal for large design teams due to extensive review workflows and its licensing is sold under an enterprise licensing model and team licensing model.
3. Style3D
Style3D offers the best of both worlds with 3D Studio software integrated with artificial intelligence capabilities and a proprietary Fabric Capture Pipeline.
Designers can analyze how a specific material will drape using Style3D's superior material realism capabilities. Manufacturers can benefit from a modular pricing approach offered to brands by Style3D.
4. Lectra
Lectra provides production-ready patterns CAD and patterning software, such as Gerber AccuMark, as well as an array of production-related tools, such as the Kubix product database.
With a strong focus on the production side of the industry, Lectra requires companies to make a significant investment. This typically requires heavy consulting services and customized pricing as part of integrating across the global supply chains.
Product Lifecycle Management (PLM) and Supply Chain Tools
The Product Lifecycle Management (PLM) system is the "nervous system" of apparel companies at scale. Without PLM as the "nervous system" of your company, you could have access to the best 3D or AI design technology in the world, and none of that technology will help speed your time to market.
Without centralized data management and governance, the functionalities of those technologies will fail to improve your time to market due to a lack of coordinated supplier communication. Below you will find an overview of several leading PLM companies and platforms.
1. Centric Software
Centric Software offers AI-enhanced PLM tools with visual planning boards and precise BOM (bill of materials) management.
It provides strong overall global data governance, and uses enterprise quoting only. It is primarily focused on large retailers that need absolute control of all of their SKUs (stock keeping units), which can be several thousand SKUs.
2. Bamboo Rose
Bamboo Rose provides a multi-enterprise TotalPLM. This system is designed to facilitate close collaboration with suppliers and is built around the concept of "decision intelligence" (the ability to analyze large quantities of data from multiple sources and make informed decisions based on that data).
The primary mission of this platform is to enable enterprise businesses to manage complex sourcing networks across multiple regions and compliance levels with suppliers, retailers, and consumers.
3. Vue.ai
Vue.ai uses computer vision tagging to create autonomous merchandising and product recommendations.
This platform uses a similar data model to that of a formal PLM system, but is focused on e-commerce and retail. Delivered as a SaaS (Software-as-a-Service) solution, it is specifically designed for online retailers trying to automatically organize and classify large product catalogs.
4. EDITED
EDITED is primarily designed for retailers to analyze, understand, and plan their inventory through the use of real-time competitive market data on demand for specific products and pricing.
It helps retailers make decisions on what to manufacture and how to price their products based on actual data, rather than "gut instinct."
Therefore, this platform is widely used by brands in the mid-market to larger enterprise space who rely on quantitative data, not just creative intuition, to formulate and execute their product strategies.
Evaluating Fashion Tech Companies for Consumer Fit
The inability to wear something properly due to a poor fit leads to a lot of merchandise being returned and lost revenue. As a result, businesses focused on improving e-commerce’s checkout process are rapidly expanding and have received lots of capital to improve their technologies.
The end goal is to help individuals picture what an item will look like, and select that item, accurately, on the first attempt through technology.
1. Daydream
Daydream is currently designing a chatbot to personalize the experience of shopping and finding clothing that matches the buyer's needs.
Daydream raised $87 million in its most recent fundraising round and is working to change how people find clothing online. Instead of using traditional filtering methods, consumers can interact naturally to find items they want based on their likes and dislikes.
2. Veesual
Veesual has developed enhanced virtual try-on features for apparel that are currently gaining traction in both mid-market and luxury.
Veesual has raised $62 million to date, with a planned entry into the U.S. market in late 2026. The Veesual platform allows users to mix and match items on a variety of virtual models.
3. Phia
Phia has a comprehensive database of 40,000+ retailers that allows consumers to compare prices on similar items, as well as find prices for items being resold.
Phia has recently been valued at approximately $150 million following its Series A round of funding. Phia's target market is the highly informed consumer who wants complete transparency when making a purchase and needs any price discrepancies accounted for.
4. Bold Metrics
Bold Metrics is an online tool that utilizes survey results to predict body sizes of online shoppers.
The tool uses a cost-per-acquisition model based on ROI. Bold Metrics is popular among many direct-to-consumer brands that see a significant increase in return rates when customers don't have to submit photos of themselves.
5. True Fit
True Fit is a prominent AI-based size and fit solution developed by major wholesale retailers globally.
It allows enterprises with complex IT systems to integrate True Fit depth of technical ability to deliver highly accurate size recommendations on a large scale, using extensive analysis of the user's previous purchases and brand preferences. True Fit assists in lowering product returns rates and growing conversions significantly.
Resale, Rental, and Circular Clothing
The secondary market has become a powerful driver of growth for the retail sector. The expanding infrastructure around the resale, rental and circular economy allow traditional brands to launch their own bespoke resale or repair services. These services retain customers within their ecosystems while creating additional revenue streams.
1. Vinted
Vinted is the leading peer-to-peer resale marketplace in Europe and beyond, with a reported €76.7 million in net income for the 2024 financial year and a massive 330% increase over the previous year's profit.
Vinted has also established itself as a key provider of financial services and has expanded its offering through the launch of Vinted Pay.
2. Trove
Trove has developed white-label resale and trade-in platforms for established brands, enabling companies to capture the lifetime value of garments rather than lose this revenue to third-party marketplaces. Trove provides its solutions via a software as a service (SaaS) model.
3. Rent the Runway
Rent the Runway continues to be the dominant player in the subscription rental space.
The company promotes a strong circularity message by having a very large shared closet. This allows customers to access luxury and designer products without the commitment of paying full retail prices.
4. SOJO
SOJO is taking a different approach to circularity through repair and alteration services.
The platform connects customers and brands with local tailors to extend the life of garments, reduce returns due to minor fitting issues, and support broader sustainability objectives without having to change supply chains.
The Final Read: Building a Connected Tech Stack
The brands that will be the most successful in 2026 will not be buying software in isolation. They will be building connected ecosystems. If a brand invests in generative design but does not upgrade their fundamental product data infrastructure to support this, then the new design ideas will not work with the supply chain.
Getting to market quickly requires the ability to communicate from the first digital sketch to the e-commerce website. When looking to evaluate any of these types of systems, it is recommended that you have a baseline of logic that compares available capabilities of software to your business problems.
Example:
If you are transferring information from concept to specification too slowly, explore generative AI Design Assistants.
If you are wasting too many physical samples that are damaging your margins, consider implementing 3D Garment Simulations.
If you are seeing a spike in your e-commerce returns, implement Fit Intelligence and Size Prediction Software.
If you are losing revenue on the secondary market, create a white-label Circular Resale Platform.
Software cannot fix broken internal processes. It is important to ensure that your technical team's skill sets match with the tools that you eventually select to implement within your organization before implementing it into your processes.
Frequently Asked Questions
The FAQ section of this guide will help you identify your biggest potential roadblocks with 3D sampling technology implementation.
Why do so many 3D implementations get stalled after the purchase phase?
The biggest reason is that most design teams do not have a solid understanding of how to create patterns. This gap creates a lack of knowledge about how to structure a garment using tools like CLO and Browzwear. A design team who only knows how to sketch flat garment ideas will likely stop producing garments once they have access to a 3D simulation tool where they have no concept of how the garment will move in the physical world.
Therefore, brands will need to either invest in training regarding the use of 3D software or hire specialized technical designers experienced in 3D technical design prior to purchasing the software.
How should a mid-tier or mid-market brand sequence their technology investments?
The first step should be to establish data discipline across the entire organization. The brand should first build a secure and organized product life cycle management system to house their product bill of materials (BOM), supplier communication, and standard specifications before introducing 3D sampling technology.
Once these systems are established, a brand can introduce 3D sampling technology into their design processes. Once the supply chain is able to handle the speed of producing concepts in a 3D-way, then the brand can implement AI generative design technology after it has been fully operationalized.
Does utilizing virtual try-on technology reduce the number of e-commerce returns?
Yes, however, the accuracy of the data will determine how well a brand is able to reduce returns. In general, survey-based data collection (which ask consumers which brands and fits they prefer) provide a higher level of confidence in predicting size accuracy.
Consumers using camera-based body scanning to generate a size prediction may generally have more accurate predictions than through survey methods because the data is collected in real-time. However, the technology has lower consumer acceptance rates than survey data collection due to privacy issues. Camera-based body scanning technology works optimally when integrated directly into the core product detail page.
What is the largest barrier to launching a branded resell channel?
The largest barrier is reverse logistics. Brands must develop and maintain a facility that can process used goods, including inspecting, cleaning, photographing and authenticating each item prior to re-listing the item.
Brands cannot use their normal return docks for this type of operation due to the complexity of reverse logistics. This is why most major retailers utilize fashion tech companies or third-party SaaS providers to build and operate their resale programs.