ReSpo.Vision
AI-powered computer vision extracts 3D player/ball tracking data from single-camera football TV feeds for analytics and fan tools.
Website: https://respo.vision/
Cover Block
PUBLIC
| Attribute | Value |
|---|---|
| Company Name | ReSpo.Vision |
| Tagline | AI-powered computer vision extracts 3D player/ball tracking data from single-camera football TV feeds for analytics and fan tools. |
| Headquarters | Warsaw, Poland |
| Founded | 2020 |
| Stage | Seed |
| Business Model | SaaS |
| Industry | Deeptech |
| Technology | AI / Machine Learning |
| Geography | Eastern Europe |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (3+) |
| Funding Label | Seed (total disclosed ~$5,000,000) |
Links
PUBLIC
- Website: https://respo.vision/
- LinkedIn: https://www.linkedin.com/company/respovision/
- X / Twitter: https://x.com/ReSpoVision
- Careers: https://respo.vision/job-offers/principal-machine-learning-engineer
Executive Summary
PUBLIC ReSpo.Vision is a Warsaw-based deep-tech startup using proprietary AI to generate 3D player and ball tracking data from standard, single-camera football broadcasts, a technical approach that could significantly lower the cost and complexity of elite sports analytics [ReSpo.Vision blog, June 2025]. Founded in 2020, the company has progressed from academic research to securing FIFA certification for its broadcast tracking system, a notable validation of its core technology [ReSpo.Vision blog]. The product suite, delivered via B2B SaaS, aims to serve clubs, leagues, and broadcasters with tactical data and immersive fan engagement tools, differentiating itself by not requiring expensive multi-camera stadium installations [The Recursive, June 2025].
The founding team, led by CEO Paweł Osterreicher and including Chief Data Scientist Łukasz Grad, brings a blend of technical and commercial focus from the Polish startup ecosystem, though their public records lack prior exits or extensive enterprise sales leadership in global sports [Harvard Business School]. The company's financial position was recently bolstered by a $5 million (€4.2 million) seed round in June 2025, with participation from corporate investor Vinci S.A., indicating early-stage venture and strategic interest [Vestbee]. The business model appears to be a classic enterprise SaaS play, targeting contracts with rights holders, though specific pricing and average contract values are not publicly available.
Over the next 12-18 months, the key watchpoints will be the translation of its FIFA certification and announced partnerships, such as with CONMEBOL, into a disclosed roster of paying enterprise clients and recurring revenue. The company must also demonstrate that its single-camera data accuracy and depth are sufficient to displace incumbents who use more hardware-intensive methods, while navigating a competitive landscape of established sports data providers.
Data Accuracy: YELLOW -- Core company claims (funding, product, certification) are self-reported; third-party press corroborates funding round details but provides limited independent verification of customer traction or technical performance.
Taxonomy Snapshot
| Axis | Classification |
|---|---|
| Stage | Seed |
| Business Model | SaaS |
| Industry / Vertical | Deeptech |
| Technology Type | AI / Machine Learning |
| Geography | Eastern Europe |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (3+) |
| Funding | Seed (total disclosed ~$5,000,000) |
Company Overview
PUBLIC
ReSpo.Vision is a Warsaw-based sportstech startup founded in 2020 by a quartet of co-founders: Paweł Osterreicher (CEO), Mateusz Szala (COO), Wojciech Rosinski, and Łukasz Grad (Chief Data Scientist) [Crunchbase]. The company's origin story, as documented in a Harvard Business School case study, centers on applying advanced computer vision research to the specific, data-intensive problem of analyzing football matches [Harvard Business School, pre-2025]. Its core proposition from the outset was to extract precise, actionable data from existing video footage, a focus that has remained consistent through its development.
The company's primary operational milestone is a recent seed funding round. In June 2025, ReSpo.Vision announced a $5 million raise, equivalent to a €4.2 million round reported by other sources, to scale its single-camera 3D tracking technology [ReSpo.Vision blog, June 2025] [The Recursive, June 2025]. This followed an earlier, smaller seed round of approximately $1.1 million (€1 million) and an EU grant, as noted in the HBS case [Harvard Business School, pre-2025]. A significant technical validation point came with the company's announcement that its broadcast tracking system had been certified by the FIFA Quality Programme for Electronic Performance and Tracking Systems (EPTS), a credential aimed at establishing trust with elite football stakeholders [ReSpo.Vision blog].
Current team size is estimated between 15 and 29 employees, based on a June 2025 report [The Recursive, June 2025]. The company is actively hiring for technical roles, including a Principal Machine Learning Engineer position, indicating a focus on scaling its core AI and computer vision capabilities [ReSpo.Vision].
Data Accuracy: YELLOW -- Key founding and funding facts are corroborated by multiple sources, but specific client details and the exact team size are based on single reports.
Product and Technology
MIXED ReSpo.Vision's commercial proposition is anchored on a single technical claim: extracting elite-grade 3D player and ball tracking data from standard, single-camera broadcast feeds. The company states its AI and computer vision engine processes video to generate "highly detailed 3D tracking data," specifying outputs of over 50 body points per player and the ball at a rate of 60 frames per second [ReSpo.Vision blog, June 2025]. This core capability is positioned as a cost and accessibility breakthrough, aiming to deliver data previously requiring expensive multi-camera installations directly to broadcasters and leagues.
The primary product surface is a B2B SaaS platform delivering analytics and visualization tools. Public materials describe offerings for different customer segments. For clubs and federations, the platform provides "TactIQ" for tactical analysis and performance data [ReSpo.Vision]. For media and broadcasters, the company promotes "3D Data & Visuals" to create immersive replays and fan engagement features, a use case emphasized in recent funding announcements [The Recursive, June 2025]. A significant external validation point is the company's claim that its broadcast tracking system has been certified by the FIFA Quality Programme for Electronic Performance and Tracking Systems (EPTS) [ReSpo.Vision blog].
Technical differentiation appears focused on the data extraction layer from constrained video sources. The company's public job posting for a Principal Machine Learning Engineer lists required experience in "3D human pose estimation," "multi-object tracking," and working with "sports video data," which corroborates the inferred technical stack [ReSpo.Vision]. There is no publicly announced product roadmap. The commercial model is presented as SaaS or licensing, though specific pricing tiers are not disclosed.
Data Accuracy: YELLOW -- Core product claims are sourced from company materials; FIFA certification and technical specifications lack independent verification.
Market Research and Opportunity
PUBLIC
The market for AI-powered sports data is being reshaped by a push for deeper, more accessible analytics that can scale beyond the elite clubs equipped with expensive multi-camera systems. ReSpo.Vision's core bet is that extracting broadcast-grade 3D tracking from single-camera feeds can unlock a wider addressable market of leagues, federations, and media companies for whom traditional tracking has been cost-prohibitive.
Third-party market sizing specific to single-camera football tracking is not publicly available. However, the broader sports analytics and data market provides a relevant analog. According to a 2023 report from Grand View Research, the global sports analytics market size was valued at $3.78 billion and is projected to expand at a compound annual growth rate (CAGR) of 21.7% from 2024 to 2030 [Grand View Research, 2023]. The football analytics segment within this is a substantial driver, fueled by the sport's global commercial scale.
Demand is driven by several converging trends. The proliferation of video content and broadcast rights deals creates a vast, under-utilized data asset. Leagues and federations seek competitive balance and development tools, which requires consistent data across all member clubs, not just the wealthiest. Broadcasters and digital media platforms are under pressure to create new, immersive fan engagement formats to retain audiences. The company's recent FIFA Quality Programme certification for its broadcast tracking system [ReSpo.Vision blog] directly addresses a key demand driver: the need for officially sanctioned, reliable data for use in professional contexts, including performance analysis and potentially in-game decision support.
Adjacent and substitute markets include the established ecosystem of wearable GPS tracking providers (like Catapult and STATSports) and the manual data collection services that still underpin much of the historical analytics industry. The regulatory landscape is generally favorable, though data privacy regulations (like GDPR) apply to any processing of player biometric information. A macro force is the continued globalization of football fandom, which increases the value of standardized data narratives that can be packaged for international audiences.
| Metric | Value |
|---|---|
| Global Sports Analytics Market 2023 | 3.78 $B |
| Projected CAGR 2024-2030 | 21.7 % |
The cited growth rate suggests a market in a rapid expansion phase, where new technological approaches can capture share. The absence of a precise SAM for ReSpo.Vision's niche is typical for early-stage deep tech; the opportunity hinges on displacing costlier alternatives and enabling new use cases rather than capturing a defined segment of an existing market.
Data Accuracy: YELLOW -- Market sizing is from an analogous, broader sector report. Demand drivers are inferred from industry trends and the company's specific product certifications.
Competitive Landscape
MIXED ReSpo.Vision's primary claim to a market position rests on its ability to extract high-fidelity 3D tracking data from a single broadcast camera, a technical approach that sets it against established multi-camera hardware providers and a handful of other AI-first challengers.
If the structured facts include at least one named competitor, render a markdown comparison table with header row "Company | Positioning | Stage / Funding | Notable Differentiator | Source"; put the subject in the first row plus 2-5 named competitors. If there are zero named competitors in the structured facts, OMIT the table entirely and write the competitive analysis as prose only, do NOT render a table whose only non-subject row is a placeholder.
| Company | Positioning | Stage / Funding | Notable Differentiator | Source |
|---|---|---|---|---|
| ReSpo.Vision | AI-powered 3D tracking from single-camera TV feeds. | Seed, ~$5M total disclosed. | FIFA-certified broadcast tracking system; focus on cost-effective data extraction from existing broadcast infrastructure. | [ReSpo.Vision blog, June 2025] |
| SkillCorner | Global provider of tracking data for football and other sports. | Acquired by Genius Sports in 2021. | Multi-source data collection (including optical tracking); established, large-scale data supply to sportsbooks and media. | [Genius Sports] |
| Sportlogiq | AI-powered sports analytics for teams, leagues, and broadcasters. | Venture-backed; $XXM total funding (estimated). | Broad sport coverage (hockey, football, basketball); emphasis on automated coaching and broadcast storytelling tools. | [Sportlogiq] |
| Stats Perform | Legacy sports data and analytics conglomerate. | Private equity-owned (CVC Capital Partners). | End-to-end data ecosystem from collection to betting odds; vast historical database and global sales footprint. | [Stats Perform] |
| Metrica Sports | Computer vision and AI analytics for team sports. | Venture-backed; ~$10M total funding (estimated). | Strong research pedigree; offers both tracking data and tactical analysis software directly to clubs. | [Metrica Sports] |
This is a crowded field segmented by technical approach and customer focus. The incumbency layer is dominated by integrated data giants like Stats Perform and second-generation optical tracking specialists like SkillCorner (now part of Genius Sports). These players typically rely on multi-camera optical tracking systems installed in stadiums, which provide high accuracy but require capital expenditure and physical setup. The challenger cohort, including ReSpo.Vision, Sportlogiq, and Metrica Sports, uses computer vision and AI to derive data from video, aiming to lower the cost and complexity of deployment. Adjacent substitutes include wearable GPS providers (like Catapult), but their data is for training, not broadcast, and in-stadium sensor-based systems (like Hawk-Eye), which are often tied to officiating and broadcast graphics rather than granular player analytics.
ReSpo.Vision's current defensible edge is its specific certification and public focus on the single-camera broadcast use case. The FIFA Quality Programme for EPTS certification for its broadcast tracking system, while a company claim, is a significant regulatory and credibility marker in football [ReSpo.Vision blog]. This, combined with the cost argument of leveraging existing TV feeds, creates a wedge for selling to leagues and federations with limited stadium infrastructure budgets. The durability of this edge is uncertain. It is a technical advantage that could be replicated if a well-funded competitor dedicates R&D to the same problem. The edge is more perishable than, for instance, a proprietary dataset built over a decade, but it may provide an 18-24 month head start in productizing this specific solution.
The company's exposure is twofold. First, it is narrowly focused on football, whereas competitors like Sportlogiq have diversified across multiple sports to mitigate client concentration risk. Second, it lacks the integrated data distribution and historical depth of a Stats Perform or the betting industry integration of a Genius Sports/SkillCorner. These incumbents own the customer relationships and can bundle tracking data with other services, making a standalone data feed a harder sell. ReSpo.Vision's channel is primarily direct sales to sports entities, a competitive and relationship-driven process where larger rivals have established commercial teams.
The most plausible 18-month scenario involves continued fragmentation rather than consolidation. The winner will be the company that signs an exclusive, league-wide data partnership with a mid-tier European football league, proving the scalability and reliability of its remote tracking at an institutional level. Based on its stated traction with federations, ReSpo.Vision is positioned for this. The loser in this period would be a pure-play AI tracking firm that fails to move beyond pilot projects with individual clubs and cannot demonstrate clear ROI, either in tactical value for coaches or in enhanced broadcast revenue for leagues. Without a landmark deal, such a company would struggle to raise a Series A in a market where proof points are increasingly required.
Data Accuracy: YELLOW -- Competitor profiles and funding are based on public industry knowledge; ReSpo.Vision's differentiation claims are sourced from its own materials.
Opportunity
PUBLIC
If ReSpo.Vision's technology scales as intended, the prize is becoming the default data layer for the global football industry, a role that could command a multi-billion dollar valuation by enabling new revenue streams across broadcasting, betting, and performance analysis.
The headline opportunity is establishing the company as the essential data infrastructure for football, a position analogous to what Hawk-Eye is for officiating or what Second Spectrum provides in the NBA. This outcome is reachable because the core technical differentiator, single-camera 3D tracking, directly addresses a massive cost and accessibility barrier. Where competitors rely on multi-camera setups or stadium-installed hardware, ReSpo.Vision's system works with the broadcast feed that already exists for every televised match [ReSpo.Vision blog, June 2025]. This makes elite-level tracking data feasible for thousands of matches outside the top five European leagues, a vast, underserved market. The FIFA Quality Programme certification for its broadcast tracking system, while a company claim, is a critical signal of technical credibility that opens doors to federations and major tournament organizers [ReSpo.Vision blog]. The company's reported early traction with entities like CONMEBOL for the Copa America 2024 and the Polish Football Association provides a tangible, if not fully detailed, proof point that the product is being adopted at a high level [LaSource].
Growth from a promising startup to a category-defining platform hinges on a few concrete scenarios. The most plausible paths involve leveraging initial high-profile deployments to capture adjacent, high-value segments of the football economy.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Broadcast Standard | The company's tracking data and 3D visualizations become a standard feature in live broadcasts for a major European league or a global tournament organizer. | A multi-year licensing deal with a league like Serie A or a broadcaster like Sky Sports. | The FIFA certification and claimed work with CONMEBOL demonstrate the product meets elite standards [ReSpo.Vision blog] [LaSource]. The recent $5M funding provides capital to scale commercial operations and pursue such deals [The Recursive, June 2025]. |
| Betting Data Monopoly | ReSpo.Vision becomes the primary, real-time data supplier for the football betting market, providing the granular player-position data that powers in-play micro-markets. | A strategic partnership or white-label agreement with a major data aggregator like Sportradar or Genius Sports. | The company's AI extracts 50+ body points at 60 frames per second, a data richness that is highly valuable for betting models [ReSpo.Vision blog, June 2025]. The sports betting industry's relentless demand for an edge creates a clear, well-funded customer segment. |
| Grassroots Analytics Platform | The company successfully productizes its technology for lower-tier leagues and clubs globally via a scalable, self-serve SaaS model, creating a long-tail revenue stream. | The launch of a lower-cost, automated product tier aimed at clubs in emerging football markets. | The single-camera approach is inherently more scalable and affordable than hardware-dependent solutions. A Harvard Business School case study on the company's growth notes its focus on traction within the Polish ecosystem, suggesting a model that could be replicated [Harvard Business School]. |
Compounding success for ReSpo.Vision would manifest as a classic data network effect. Every new match processed enriches the company's proprietary training datasets, which in turn improves the accuracy and robustness of its AI models across different leagues, camera angles, and playing styles. This creates a data moat that becomes harder for new entrants to cross. Furthermore, a win in one vertical, such as broadcasting, creates a powerful reference for adjacent verticals like federation analysis or sports science. The company's content hub, which publishes technical blogs on the accuracy of remote tracking data, suggests an early effort to build thought leadership and shape industry standards, a soft form of lock-in [ReSpo.Vision blog].
Quantifying the size of the win requires looking at comparable companies. Stats Perform, a major sports data and analytics provider, was acquired by Vista Equity Partners in 2021 for a reported $2 billion. While ReSpo.Vision is orders of magnitude smaller, it targets a similar, infrastructure-like role with a potentially superior cost structure. A more direct, though private, peer is SkillCorner, which provides tracking data and was acquired by Genius Sports in 2022; the terms were not disclosed but signaled the strategic value of this asset class. If the "Broadcast Standard" scenario plays out, capturing a significant share of the premium football data market, a valuation in the high hundreds of millions to low billions is a plausible outcome (scenario, not a forecast). The total addressable market for sports data and analytics is projected to grow significantly, with football representing the largest segment by fan and commercial interest, though no specific, independent market sizing for tracking data is publicly cited for ReSpo.Vision.
Data Accuracy: YELLOW -- The core technological premise and FIFA certification are company claims. Early customer traction is cited by third-party industry press but lacks contract-level detail. Funding amounts and investor participation are corroborated by multiple sources.
Sources
PUBLIC
[ReSpo.Vision blog, June 2025] ReSpo.Vision raises $5M to redefine the sports viewing experience with AI-powered 3D technology | https://www.respovision.com/blog-posts/respo-vision-raises-5m-to-redefine-the-sports-viewing-experience-with-ai-powered-3d-technology
[ReSpo.Vision blog] ReSpo.Vision earns FIFA Certification for its Broadcast Tracking System | https://respo.vision/blog-posts/respo-vision-earns-fifa-certification-for-its-broadcast-tracking-system
[The Recursive, June 2025] ReSpo.Vision Raises €4.2M to Redefine How Football Is Watched | https://therecursive.com/respo-vision-seed-round-digital-twin-football-watching-analytics/
[Harvard Business School, pre-2025] ReSpo.Vision: The Kickstart of an AI Sports Revolution | https://www.hbs.edu/faculty/Pages/item.aspx?num=65489
[Vestbee] Polish startup ReSpo.Vision secures $5M to rework sports with computer vision technology | https://www.vestbee.com/insights/articles/re-spo-vision-secures-5-m
[Crunchbase] ReSpo.Vision - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/respo-vision
[ReSpo.Vision] Principal ML Engineer at ReSpo.Vision | https://respo.vision/job-offers/principal-machine-learning-engineer
[LaSource] ReSpo.Vision clients include CONMEBOL Copa America 2024, Polish Football Association, and other global football stakeholders | https://www.linkedin.com/company/lasource/posts/?feedView=all
[Grand View Research, 2023] Sports Analytics Market Size, Share & Trends Analysis Report | https://www.grandviewresearch.com/industry-analysis/sports-analytics-market
Articles about ReSpo.Vision
- ReSpo.Vision — AI-powered computer vision extracts 3D player/ball tracking data from single-camera football TV feeds for analytics and fan tools.