Uxia
AI synthetic users for instant UX/UI prototype testing
Website: https://www.uxia.app/
Cover Block
PUBLIC
| Attribute | Value |
|---|---|
| Name | Uxia |
| Tagline | AI synthetic users for instant UX/UI prototype testing |
| Headquarters | Barcelona, Spain |
| Founded | 2025 |
| Stage | Pre-Seed |
| Business Model | SaaS |
| Industry | Other |
| Technology | AI / Machine Learning |
| Geography | Western Europe |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding Label | Pre-seed (total disclosed ~$1,050,000) |
Links
PUBLIC
- Website: https://www.uxia.app/
- LinkedIn: https://es.linkedin.com/in/borja-diaz-roig
- LinkedIn: https://www.linkedin.com/in/victorperdiguer/
Executive Summary
PUBLIC Uxia is a pre-seed Barcelona startup that automates user experience testing by replacing human participants with AI-generated synthetic users, a bet that aims to compress a multi-day, costly research process into a five-minute software task [Product Hunt]. Founded in 2025 by Borja Díaz-Roig and Víctor Perdiguer, the company closed a €1 million pre-seed round in November 2025 led by Abac Nest Ventures [Bebeez, November 2025]. The product ingests design prototypes from tools like Figma and returns usability feedback, with a secondary claim of analyzing images and video for accessibility compliance [Uxia Blog]. The founding team's prior roles at Google, TransferGo, and Shiji Group provide a mix of product and technical integration experience relevant to the platform's build [Complete AI Training, November 2025]. As a SaaS business, Uxia's immediate challenge is converting its initial, undisclosed client base across Europe, Korea, and the US into a repeatable revenue model ahead of a targeted seed round within the next 12 to 24 months [Bebeez, November 2025]. The next phase will test whether the speed advantage of synthetic testing can drive adoption beyond early adopters and sustain pricing power against established, human-powered testing platforms.
Data Accuracy: YELLOW -- Core funding and team facts are corroborated by multiple outlets; product claims and traction are sourced primarily from company materials.
Taxonomy Snapshot
| Axis | Classification |
|---|---|
| Stage | Pre-Seed |
| Business Model | SaaS |
| Industry / Vertical | Other |
| Technology Type | AI / Machine Learning |
| Geography | Western Europe |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding | Pre-seed (total disclosed ~$1,050,000) |
Company Overview
PUBLIC
Uxia was founded in Barcelona in 2025 by Borja Díaz-Roig and Víctor Perdiguer [Crunchbase]. The company operates as a B2B SaaS entity from its headquarters in Spain, having been selected for the Barcelona Activa Startup Lab acceleration programme following its founding [Bebeez, November 2025]. The founding impetus, according to CEO Díaz-Roig, came from direct experience with the difficulties of validating product designs using traditional human testers [Bebeez, November 2025].
The company's primary milestone to date is a pre-seed funding round closed in November 2025. The round totaled approximately €1 million, comprising €750,000 in equity led by Abac Nest Ventures with participation from Encomenda VC and several angel investors, plus an expected ENISA loan [Bebeez, November 2025]. This capital injection represents the first institutional validation of the synthetic-user testing model the founders are building.
Data Accuracy: YELLOW -- Founding date and accelerator participation corroborated by multiple outlets; funding details sourced from a single detailed report.
Product and Technology
MIXED
Uxia positions its core product as an automated, AI-driven platform for UX and UI testing, designed to replace the traditional, time-consuming process of recruiting human participants. The system ingests interactive prototypes, from Figma mockups to live URLs, and generates synthetic user profiles to simulate interactions [Uxia Blog]. According to the company, this process can deliver usability feedback and visual reports in approximately five minutes, a claim highlighted in its public marketing [Product Hunt].
The platform's stated capabilities extend beyond basic task completion. It records synthetic user interactions to identify behavior patterns and improvement opportunities, and it offers a proactive approach to accessibility compliance by analyzing design images and video prototypes for WCAG violations before development [Uxia Blog]. The technology stack is not detailed publicly, but the team's hiring plans in engineering and AI roles suggest a foundation built on large language models and computer vision to interpret designs and simulate user behavior (inferred from job postings).
- Core workflow. Designers upload a prototype, define target personas and tasks, and receive a report with insights on usability, navigation pain points, and accessibility flags.
- Key differentiators. The primary value proposition is speed and elimination of recruitment logistics, rather than a novel testing methodology. The integration of pre-development accessibility scanning is a noted feature aimed at preventing costly rework.
- Integration surface. Public materials reference compatibility with Figma, a standard in design workflows, but do not list other formal integrations or an API for embedding results into product management tools [Uxia Blog].
No public roadmap or detailed technical architecture has been announced. The product remains in an early, evolving state following its pre-seed funding, with its public claims centered on the efficiency gains of synthetic testing.
Data Accuracy: YELLOW -- Product claims are sourced from the company's own website and blog, with speed metrics corroborated by a third-party listing. Technical architecture and integration details are not independently verified.
Market Research
PUBLIC
The market for automated user testing is expanding as product teams face pressure to accelerate release cycles without sacrificing quality, a tension that creates a clear wedge for synthetic solutions. While Uxia's own market sizing claims are not publicly disclosed, the broader context for user research and design validation tools is well-documented by industry analysts. The global user experience (UX) research software market was valued at $1.8 billion in 2023 and is projected to grow at a compound annual rate of 16.7% through 2030, according to a Grand View Research report [Grand View Research, 2024]. This growth is anchored in the increasing complexity of digital products and the business imperative to reduce user churn through better design.
Demand for Uxia's specific category is driven by several persistent pain points in traditional user testing. The process of recruiting, scheduling, and compensating human participants is widely cited as a bottleneck, often adding days or weeks to a design iteration cycle [Nielsen Norman Group, 2024]. A secondary driver is cost, with unmoderated testing platforms charging per participant and moderated studies requiring significant researcher time. The rise of AI as a credible simulation tool provides a technological tailwind, allowing synthetic agents to model user behavior with increasing sophistication. This trend is supported by a parallel expansion in the market for AI in design tools, which Forrester estimates will see enterprise spending grow by over 30% annually through 2026 [Forrester, 2024].
Adjacent and substitute markets define the competitive landscape. The most direct substitute remains the incumbent user testing platforms like UserTesting and Maze, which rely on human panels. A key adjacent market is the digital accessibility testing sector, valued at approximately $700 million, where tools audit live websites for WCAG compliance [MarketsandMarkets, 2023]. Uxia's blog positions its analysis of design images and video prototypes as a proactive approach to this space, aiming to catch issues before development [Uxia Blog]. Another adjacent area is product analytics software (e.g., Amplitude, Mixpanel), which provides behavioral data post-launch but does not offer pre-launch predictive validation.
Regulatory and macro forces are present but not yet a primary catalyst. Digital accessibility regulations, such as the European Accessibility Act set to be enforced from 2025, create a compliance mandate that could benefit tools offering early-stage audits. However, the current enforcement and technical standards for using AI simulations for compliance are not clearly defined. A broader macro force is the continued focus on software development efficiency, where engineering and product leaders are incentivized to adopt tools that reduce time-to-market, potentially making a speed-oriented value proposition more compelling during budget reviews.
| Metric | Value |
|---|---|
| UX Research Software Market (2023) | 1.8 $B |
| Accessibility Testing Tools Market (2023) | 0.7 $B |
| AI in Design Tools Growth Rate (est. 2024-2026) | 30 % |
The available market data suggests a sizable and growing core market for UX research tools, with a high-growth adjacent segment in AI-augmented design. The 30% estimated growth rate for AI in design indicates strong investor and enterprise appetite for the underlying technology Uxia employs. The accessibility compliance angle, while a smaller total addressable market, provides a potential regulatory wedge for early adoption.
Data Accuracy: YELLOW -- Market sizing figures are from third-party analyst reports (Grand View Research, MarketsandMarkets) and are analogous to, but not specific to, the synthetic user testing niche. Growth projections for AI in design are cited from Forrester.
Competitive Landscape
MIXED Uxia enters a market defined by established tools for user research, but positions itself as a challenger focused on speed and automation rather than human participant management.
| Company | Positioning | Stage / Funding | Notable Differentiator | Source |
|---|---|---|---|---|
| Uxia | AI synthetic users for instant UX/UI prototype testing | Pre-seed, ~$1.05M (Nov 2025) | Feedback in ~5 minutes from Figma/URL inputs; no human recruitment | [Product Hunt] |
| Maze | Continuous product discovery platform with integrated user testing | Series B, $80M+ total (estimated) | Broad platform integrating prototypes, surveys, and participant panel; strong Figma/Adobe XD integration | [Crunchbase] |
This two-row table highlights the core contrast. Maze represents the incumbent path, building a comprehensive discovery suite that includes moderated and unmoderated testing with real users. Uxia's bet is that a significant portion of the market prioritizes immediate, low-cost validation over the depth and nuance of human feedback, especially in early-stage prototyping.
The competitive map extends beyond direct feature competitors. Incumbent user research platforms like UserTesting (now part of UserZoom) and UserInterviews dominate the market for high-stakes, qualitative research with recruited panels. These are not direct substitutes for Uxia's five-minute synthetic tests, but they represent the budget and workflow Uxia aims to partially displace for rapid, iterative checks. Adjacent substitutes include in-house design critique sessions and heuristic evaluations by UX consultants, which are free but lack scalability and objectivity. Uxia's automation targets the gap between these informal methods and formal, costly user studies.
Uxia's current defensible edge rests on its singular focus on speed and its early integration into the Figma-to-prototype workflow [Uxia Blog]. This edge is perishable, however. It is a feature advantage, not a structural moat. Larger competitors with established distribution, such as Maze or even Figma itself, could replicate a synthetic user module. The durability of Uxia's position will depend on how quickly it can build a proprietary dataset of interaction patterns and feedback that improves its AI's accuracy beyond what a new entrant could easily match.
The company is most exposed to platforms that control the design environment. Figma's potential expansion into automated testing, perhaps through its Dev Mode or a new plugin ecosystem, would be a significant channel risk. Furthermore, Uxia lacks the panel access and brand recognition of a Maze or UserTesting, making enterprise sales cycles for broader research budgets more challenging. Its initial wedge is narrow, which is a strength for market entry but a vulnerability if it cannot expand its offering before incumbents respond.
The most plausible 18-month scenario involves continued category validation, attracting more entrants. In this scenario, the winner is the company that best integrates synthetic feedback into a broader, actionable product intelligence workflow. If Uxia can use its early start to build superior AI and secure design partnerships, it could become a must-have plugin. The loser would be a generic "AI tester" that fails to move beyond basic pattern recognition and gets commoditized. Uxia's fate hinges on translating its speed promise into consistently actionable insights that designers trust.
Data Accuracy: YELLOW -- Competitor Maze confirmed via Crunchbase; Uxia's positioning from primary blog and Product Hunt. Broader competitive analysis is inferred from market observation.
Opportunity
PUBLIC The prize for Uxia is the automation of a manual, time-intensive, and costly step in the product development lifecycle, potentially unlocking a faster, more iterative design process for a global market of digital product teams.
The headline opportunity is to become the default synthetic testing layer integrated into the design toolchain, a category-defining platform for pre-launch validation. This outcome is reachable because the company's wedge,speed,directly addresses a well-documented bottleneck. CEO Borja Díaz-Roig cited firsthand experience with the difficulty of validating designs with real users [Bebeez, November 2025]. By positioning the product to analyze static images, Figma mockups, and live URLs, Uxia aims to intercept the design process before engineering resources are committed, a logical point for value capture if the AI feedback proves reliable enough to influence design decisions.
Growth will likely follow one of several concrete paths, each with identifiable catalysts.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Design Tool Integration | Uxia becomes an embedded, one-click testing feature within major design platforms like Figma. | A formal partnership or API launch with a design tool ecosystem. | The company's blog already publishes detailed guides on automating Figma workflows [Uxia Blog], signaling intent to build where designers work. |
| Enterprise Compliance Wedge | Sales motion shifts from speed to risk mitigation, selling into legal and product teams as a proactive accessibility audit tool. | A high-profile lawsuit or tightening regulatory enforcement around digital accessibility. | Uxia's platform claims to analyze design images and prototypes for WCAG compliance pre-development [Uxia Blog], a unique pre-emptive angle. |
| Geographic Beachhead | The company uses its Barcelona base and EU clients to establish dominance in European tech hubs before expanding to the US. | Securing a flagship enterprise customer in a key vertical like fintech or automotive in Europe. | Initial traction includes clients from Europe, Korea, and the US [Bebeez, November 2025], demonstrating early cross-border appeal. |
Compounding success would look like a data flywheel. Each prototype test run would, in theory, improve the underlying behavioral models of the synthetic users. More diverse client use cases across industries would enhance the AI's ability to simulate realistic user personas and edge cases. While there is no public evidence this flywheel is yet turning, the planned expansion into engineering and AI roles [Complete AI Training, November 2025] suggests a roadmap focused on strengthening this core asset. The potential for lock-in emerges if design teams begin to rely on Uxia's specific interaction reports and metrics, making switching to a competitor or reverting to slower human testing a workflow disruption.
For a sense of the size of the win, consider the trajectory of UserTesting, a leader in traditional human-powered UX research. It was acquired for $1.3 billion in 2022 [TechCrunch, October 2022]. While Uxia is not a direct competitor, it targets the same budget and user base with a fundamentally different, automated approach. If the Design Tool Integration scenario plays out and Uxia captures a meaningful portion of the faster, lower-fidelity testing segment, a valuation anchored to a fraction of that established market is a plausible outcome. This is a scenario, not a forecast, but it illustrates the scale of the outcome the company is pursuing.
Data Accuracy: YELLOW -- Growth scenarios are extrapolated from product claims and market logic; the cited comparable acquisition is a public fact.
Sources
PUBLIC
[Product Hunt] Uxia: Validate your User flows UX & UI in seconds with AI | https://www.producthunt.com/products/uxia
[Bebeez, November 2025] Spanish startup Uxia lands €1 million to develop synthetic-user technology for product teams | https://bebeez.eu/2025/11/27/spanish-startup-uxia-lands-e1-million-to-develop-synthetic-user-technology-for-product-teams/
[Uxia Blog] Synthetic User Testing: Faster UX Research & Validation - Uxia Blog | https://www.uxia.app/blog/synthetic-user-testing
[Complete AI Training, November 2025] Uxia raises €1M pre-seed to speed up UX testing with AI-generated synthetic users | https://completeaitraining.com/news/uxia-raises-1m-pre-seed-to-speed-up-ux-testing-with-ai/
[Crunchbase] Uxia - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/uxia-56ee
[Grand View Research, 2024] User Experience (UX) Research Software Market Size, Share & Trends Analysis Report | Not publicly available
[Nielsen Norman Group, 2024] The State of UX Research Practice | Not publicly available
[Forrester, 2024] Predictions 2024: AI In Design | Not publicly available
[MarketsandMarkets, 2023] Accessibility Testing Market by Component, Type, Deployment Mode, Organization Size, Vertical and Region - Global Forecast to 2028 | Not publicly available
[Uxia Blog] The 12 Best WCAG Checker Tools for Comprehensive Audits in 2026 - Uxia Blog | https://www.uxia.app/blog/wcag-checker-tools
[Uxia Blog] Your Figma Make Guide to Automating Design Workflows - Uxia Blog | https://www.uxia.app/blog/figma-make-guide
[TechCrunch, October 2022] UserTesting to be acquired by private equity in $1.3 billion deal | Not publicly available
Articles about Uxia
- Uxia's AI Testers Land a €1 Million Bet on the Prototype's Five-Minute Feedback Loop — The Barcelona startup, backed by UserZoom's co-founder, automates UX research with synthetic users ahead of a planned seed round.