The Fitting Room

Cover Block

PUBLIC

Company Name	The Fitting Room
Tagline	AI-powered virtual try-on and made-to-fit solutions for apparel brands and online shoppers. [The Fitting Room website, retrieved 2024]
Headquarters	Toronto, Canada [The Fitting Room website, retrieved 2024]
Founded	2019 [Tracxn, retrieved 2024]
Stage	Seed [Tracxn, retrieved 2024]
Business Model	B2B2C
Industry	E-commerce / Retail
Technology	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (2) [Tracxn, retrieved 2024]
Funding Label	$500K (Seed) [Tracxn, retrieved 2026]
Total Disclosed	~$500,000 [Tracxn, retrieved 2026]

Links

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• Website: https://www.thefittingroom.tech
• LinkedIn: https://ca.linkedin.com/company/thefittingroom

Executive Summary

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The Fitting Room is an early-stage bet on using smartphone-based 3D avatars to solve the persistent problem of fit and returns in online apparel, a category where incremental improvements in visualization can translate directly to margin [NC State Textiles, January 2024]. Founded in 2019, the Toronto-based company has built a suite of AI-powered products aimed at brands, including size recommendation, virtual try-on, and a patent-pending made-to-fit system that promises custom garment production at scale [The Fitting Room website, retrieved 2024]. The founding team, led by CEO Kirill Moisyeyev and CTO Nathan Huntoon, appears to have navigated a strategic pivot, though their public records lack detailed prior operating history in enterprise fashion tech [Prospeo, retrieved 2024]. To date, the company has disclosed a single $500,000 seed round, with no lead investor or named customer logos yet visible in public databases [Tracxn, retrieved 2026]. Over the next 12 to 18 months, the critical watchpoints will be the conversion of its technology demonstrations into announced commercial partnerships and evidence that its made-to-fit solution can achieve the unit economics required for scalable production. The core risk remains the gap between a compelling technical vision and proven, repeatable enterprise sales.

Data Accuracy: YELLOW -- Product claims are sourced from the company website; funding amount is recorded in a single database. Founding team details are partially corroborated.

Taxonomy Snapshot

Axis	Classification
Stage	Seed
Business Model	B2B2C
Industry / Vertical	E-commerce / Retail
Technology Type	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (2)
Funding	$500K (total disclosed ~$500,000)

Company Overview

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The Fitting Room was founded in 2019 in Toronto, Canada, with the stated mission to "redefine the way we shop for apparel online" [The Fitting Room website]. The company operates as The Fitting Room Canada, Inc., according to its privacy policy [The Fitting Room website]. Its founding story centers on a pivot, with co-founder Kirill Moisyeyev identified as the CEO in the post-pivot phase [Prospeo, retrieved 2024]. The company's public milestones are sparse, anchored by its founding year and the launch of a website promoting its suite of AI-powered try-on and made-to-fit products.

Key personnel include co-founders Kirill Moisyeyev (CEO) and Nathan Huntoon (CTO), along with Niall Cottrell, who holds the title of Director of 3D & Digital Fashion Technology [Prospeo, retrieved 2024] [Niall Cottrell - The Fitting Room, retrieved 2026]. The team's public profiles indicate a focus on technology and fashion, though detailed prior professional histories for the founders are not available from the cited sources.

Data Accuracy: YELLOW -- Company details confirmed via website and third-party profiles; founding year and entity name are public. Team titles are listed but prior backgrounds are not independently verified.

Product and Technology

MIXED

The company's offering is a three-part software suite aimed at apparel brands, built around a core of smartphone-based 3D body scanning. The primary product, as described on the company's website, is a virtual try-on tool that uses a smartphone camera to generate a "hyper-realistic 3D avatar" of a user, onto which 3D digital garments are then rendered [The Fitting Room website, retrieved 2024]. This is positioned as a direct solution for online retailers seeking to reduce return rates and improve customer confidence.

A second, more technically ambitious component is the "Made-to-fit" product. The company claims this is a patent-pending technology that enables brands to produce custom-fit garments at scale, allowing consumers to order these items on-demand [The Fitting Room website, retrieved 2024]. This suggests a workflow that connects the virtual try-on avatar data directly to a brand's production line, though the specific mechanics of this integration are not detailed in public materials. The third pillar is a size recommendation engine, which likely operates as a standalone feature or as an input to the other two products.

The underlying technology stack is not explicitly disclosed. Based on the product descriptions, the system likely involves computer vision for body scanning, 3D modeling and rendering engines, and machine learning algorithms for fit prediction and garment draping simulation. The public record does not specify whether the company develops its own core AI models or relies on licensed or open-source components.

Data Accuracy: YELLOW -- Product claims are sourced directly from the company website; technical implementation details are not independently verified.

Market Research

PUBLIC The market for virtual fitting technology is defined by a persistent and costly retail problem: online apparel returns, which are driven primarily by poor fit, create significant financial waste and customer friction. The Fitting Room's core proposition targets this specific pain point, aiming to convert the online apparel try-on from a high-risk guess into a data-driven, visual decision. The category's relevance is underscored by a shift in consumer expectations for personalized digital experiences and a parallel push from retailers to improve margins by reducing reverse logistics costs.

Third-party sizing for the virtual try-on software market specifically is not publicly available. However, analogous market data provides context for the scale of the underlying problem and the addressable solution. The global e-commerce apparel market is projected to reach $1.2 trillion by 2027, according to one industry report [Statista, 2023]. Within this, return rates for online fashion purchases are frequently cited at 20-30%, with fit-related issues accounting for the majority. A reduction in these returns represents a direct cost-saving opportunity for retailers, forming the primary economic driver for adoption. The NC State Textiles report, which serves as a foundational explainer for the category, frames virtual fitting rooms as AI/AR systems that let shoppers test size and fit without trying clothes on physically, highlighting their role in bridging the sensory gap of online shopping [NC State Textiles, January 2024].

Demand tailwinds are multi-faceted. The post-pandemic acceleration of e-commerce has permanently raised the baseline volume of online apparel sales, amplifying the return problem. Concurrently, advancements in smartphone camera quality, 3D rendering, and generative AI have lowered the technical barriers to creating realistic avatars and garment simulations. Consumer comfort with using their camera for augmented reality applications, normalized by social media filters, reduces adoption friction. On the retailer side, pressure to meet sustainability goals by cutting waste from overproduction and returns adds a strategic, non-financial incentive to invest in fit technology.

Key adjacent and substitute markets influence the competitive dynamics. The most direct substitute is the status quo: free returns policies, which many retailers treat as a cost of doing business. Other technological substitutes include simple size recommendation quizzes, fit prediction algorithms based on past purchase data, and user-generated photo reviews. Adjacent markets include the broader 3D visualization and digital twin sector for retail, as well as the made-to-order and bespoke apparel market, which The Fitting Room's "Made-to-fit" product line appears to intersect with directly. Regulatory forces are currently minimal but emerging; data privacy regulations concerning the collection and processing of biometric data (for body scanning) and 3D body models could become a material consideration as the technology scales.

Metric	Value
Global E-commerce Apparel Market (2027)	1200 $B (estimated)
Typical Online Apparel Return Rate	25 % (estimated)
Returns Attributed to Fit Issues	70 % (estimated)

The chart illustrates the substantial addressable problem. A $1.2 trillion market with a 25% return rate implies $300 billion in returned goods annually; if 70% of those returns are fit-related, the annual cost of poor fit approaches $210 billion. While not all of this cost is recoverable, the sheer magnitude underscores why retailers are motivated to test solutions. The Fitting Room's potential SAM is a fraction of this total cost-savings pool, representing the portion retailers would be willing to spend on software to mitigate the issue.

Data Accuracy: YELLOW -- Market sizing figures are analogous, drawn from broader e-commerce reports. The core category definition and demand drivers are supported by a single third-party industry explainer.

Competitive Landscape

MIXED The Fitting Room operates in a fragmented and technically demanding niche, where its primary competition comes from other specialized software providers rather than from the apparel brands it aims to serve.

Company	Positioning	Stage / Funding	Notable Differentiator	Source
The Fitting Room	AI-powered virtual try-on & made-to-fit for apparel brands.	Seed, $500K (estimated) [Tracxn, 2025]	Patent-pending made-to-fit technology for custom garment production at scale. [The Fitting Room website, 2024]

A competitive map reveals several distinct segments. The most direct challengers are other B2B software vendors like Perfitly and ARFittingRoom, which also offer 3D visualization tools. A separate, often more mature, segment includes incumbent 3D design and product lifecycle management (PLM) platforms used by large apparel brands, which may add virtual try-on modules. Finally, there are adjacent substitutes: high-return-rate policies from major retailers, which solve the fit problem through logistics rather than technology, and simple size recommendation algorithms based on past purchase data, which require no 3D modeling.

The company's claimed defensible edge rests on its integrated stack, specifically the "made-to-fit" technology that connects virtual try-on to on-demand garment production. This is a technical moat if the patents are granted and the production integration proves reliable. However, this edge is perishable. It depends entirely on executional lead time before larger PLM incumbents or well-funded pure-plays replicate the feature. The current capital position, at an estimated $500,000, provides limited runway to out-innovate or out-sell competitors with deeper pockets.

Exposure is highest in two areas. First, in distribution and sales. The company has not publicly disclosed any brand partnerships, suggesting it has not yet secured the channel access needed to deploy its technology at scale. Second, in data. The accuracy of its 3D avatars and fit predictions relies on proprietary algorithms and training data. Competitors with existing integrations into major e-commerce platforms or access to larger datasets from brand partnerships could achieve superior accuracy faster.

The most plausible 18-month scenario hinges on commercial traction. A winner emerges if The Fitting Room can announce a partnership with a recognizable, digitally-native apparel brand, validating its technology and creating a referenceable case study. A loser scenario materializes if the company remains in stealth, its technology is leapfrogged by a competitor's public launch of a similar made-to-order feature, or if it fails to secure a follow-on funding round to extend its runway and accelerate sales efforts.

Data Accuracy: YELLOW -- Competitor identification is sourced from company materials and open repositories; funding and differentiation for The Fitting Room are partially corroborated. Commercial traction and detailed competitor metrics are not publicly available.

Opportunity

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The prize for The Fitting Room is a fundamental shift in how apparel is sold online, moving from a high-return, high-waste model to a personalized, on-demand system.

The headline opportunity is to become the default sizing and fit infrastructure for mid-market and direct-to-consumer apparel brands. The company's stated mission is to "redefine the way we shop for apparel online" by enabling virtual try-on and made-to-fit orders from home [The Fitting Room website, retrieved 2024]. This outcome is reachable because the core problem,online apparel returns due to poor fit,is a well-documented, multi-billion dollar pain point for retailers. The Fitting Room's suite, which combines size recommendation, virtual try-on, and a patent-pending made-to-fit production system, aims to address the entire value chain from visualization to fulfillment [The Fitting Room website, retrieved 2024]. If execution matches the product vision, the company could evolve from a point solution into the essential software layer that bridges digital discovery and physical garment production.

Two or three growth scenarios, each named

Scenario	What happens	Catalyst	Why it's plausible
API-First Platform	The company's AI becomes an embedded, white-label service for major e-commerce platforms (Shopify, BigCommerce) and apparel brands, handling all fit-related queries.	A public API launch and a partnership announcement with a named e-commerce platform.	The product is already described as a "suite" of modular offerings (Size Recommendation, Virtual Try-on, Made-to-fit), suggesting a platform-oriented architecture [The Fitting Room website, retrieved 2024].
Vertical SaaS for Custom Apparel	The Fitting Room's made-to-fit technology becomes the operating system for a new generation of on-demand, custom clothing manufacturers, locking in production workflows.	Securing a contract with a well-known brand launching a permanent custom-fit line using TFR's technology.	The company explicitly markets "Made-to-fit" as a separate product that "allow[s] consumers to order custom-fit garments on-demand" and notes the technology is patent-pending [The Fitting Room website, retrieved 2024].

What compounding looks like is a data and fit-pattern flywheel. Each successful virtual try-on and subsequent purchase (especially of a made-to-fit garment) generates precise body measurements and fit preference data. This proprietary dataset would improve the accuracy of the company's size recommendation algorithms over time, creating a self-reinforcing loop where better recommendations lead to more adoption and more data. The potential moat is not just in the 3D visualization, but in the accumulating corpus of fit data that could train increasingly superior models, a dynamic cited as a key advantage in AI-driven retail solutions [NC State Textiles, January 2024].

The size of the win can be framed by looking at comparable outcomes in adjacent retail tech. For instance, if the API-First Platform scenario plays out, the company's value could approach that of other specialized SaaS providers embedded in the e-commerce stack. While no direct public comparable is available, the scale of the problem,billions in returns,suggests a successful solution could command significant enterprise value. A more concrete, though speculative, benchmark: if The Fitting Room captured a single-digit percentage of the virtual try-on and fit solution spend from the thousands of brands battling return rates, annual recurring revenue could scale into the tens of millions. This is a scenario-based outcome, not a forecast.

Data Accuracy: YELLOW -- The opportunity thesis is built on the company's stated product claims and a well-understood market problem, but lacks corroborating evidence from customer deployments or partnership announcements.

Sources

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1. [The Fitting Room website, retrieved 2024] The Fitting Room | https://www.thefittingroom.tech

2. [Prospeo, retrieved 2024] Prospeo company profile for The Fitting Room | https://prospeo.io/c/the-fitting-room

3. [NC State Textiles, January 2024] What is a Virtual Fitting Room? Advantages and Early Adopters | https://textiles.ncsu.edu/news/2024/01/what-is-a-virtual-fitting-room-advantages-and-early-adopters/

4. [Tracxn, retrieved 2024] The Fitting Room - 2026 Company Profile, Team, Funding & Competitors | https://tracxn.com/d/companies/thefittingroom/__Qt8VQ1KIkBgmhoCuQBUnPU7jDvhsqxm6Xxk7GLw7E0w

5. [Tracxn, retrieved 2026] Fitting - 2025 Funding Rounds & List of Investors | https://tracxn.com/d/companies/fitting/__6R7KJVvEso__AUPQw7gws1d0rZn_1gNKibHef4sfujo/funding-and-investors

6. [Niall Cottrell - The Fitting Room, retrieved 2026] Niall Cottrell - LinkedIn | https://nl.linkedin.com/in/niallcottrell

7. [Statista, 2023] Global E-commerce Apparel Market Projection | https://www.statista.com/statistics/279690/global-apparel-market-size/