FOOCUS

Investor Overview

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Confidential — March 2026

Investment opportunity

The intelligence layer
for global sponsorship

Sponsorship is one of the largest and most powerful marketing channels in the world, yet the least professionally measured. Foocus is building the system that defines what sponsorship value is and how it can be grown.

CEO Introduction — Glenn Myklebust

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01 — Market

The opportunity

A massive market,
poorly served

Global sponsorship spending exceeds $100 billion annually, yet it remains the last great marketing frontier lacking accountability. While digital spend is tracked to the penny, the effects of sponsorship are still being guessed and largely undocumented.

CMOs now demand the same accountability for sponsorships as they do for digital advertising. Sponsorships are activated and fragmented across multiple media platforms, channels, and formats. AI is finally ready to automate the audit at scale. This is the turning point.

TOTAL ADDRESSABLE MARKET $100B+ Global sponsorship spend SERVICEABLE ADDRESSABLE $5-8B Sponsorship measurement & analytics market SERVICEABLE OBTAINABLE €50-100M European sports sponsorship intelligence (5yr target) FOOCUS TODAY MARKET DRIVERS 📈 Growing complexity 🎯 Accountability pressure 🤖 AI maturity
$100B+
Global sponsorship spend
Growing
Growing media complexity, more channels, more fragmentation
Rising
Rising accountability pressure. CMOs demand proof of value
02 — Problem

The problem

Billions spent.
Almost nothing measured.

The core problem is not the absence of data. The opposite is true. There is more data than ever across TV, digital, social, audio, and press. The real problem is that this data is fragmented, inconsistent, and non-actionable. Brands can't defend sponsorship budgets. Rights holders can't document the full value they deliver. Learning doesn't compound.

Brands don't need more logo counting. They need commercial evidence. Most reporting stops at looking for logo exposure. Foocus starts at looking for what drives value and ROI. This is not a tooling gap. It is an operating model gap.

58%
Of brands struggle to understand sponsorship value
66%
Say measuring sponsorship impact is a major challenge
69%
Struggle to prove sponsorship value internally
03 — Solution

Data capture & valuation

From metrics to meaning
using contextual AI

Foocus captures sponsorship presence and performance across channels and formats. It translates that presence into comparable, defensible metrics that marketing teams can trust. And it activates those insights through automated reporting, dashboards, and increasingly recommendations, contextual understanding, and predictive signals.

Our AI engine doesn't just spot logo exposure. It understands the environment, placement, and sentiment of the sponsorship activation, leading to better understanding of value creation. We've built proprietary models trained sport-by-sport, delivering the verified evidence required for high-stakes valuations and negotiations.

Data is collected and standardized via APIs from Meta, TikTok, X, Fathom, GA4, TicketCo, Meltwater and more. Audio monitoring is delivered through our partner Allears (Sweden).

📺

TV & Streaming

Logo detection via computer vision across broadcasts and streaming platforms

📱

Social media

APIs from Meta, TikTok, X, LinkedIn, YouTube. Posts, stories, reels

📰

Press & Online

Meltwater integration for media monitoring, NLP for mention detection

🎧

Audio

Podcast, radio, and TikTok audio via Allears partnership

CAPTURE STANDARDIZE DETECT VALUE REPORT 📺 TV & Streaming 📱 Social Media 📰 Press & Online 🎧 Audio & Podcast 🎫 Events & Venues API Ingestion Meta, TikTok, X, YouTube Meltwater, GA4, Fathom TicketCo, Allears AI Engine Computer Vision NLP Mention Detection Audio Recognition Contextual VLMs Valuation Media value (CPM) Sentiment scoring Cross-channel rollup Benchmarks Activate Live dashboards Automated reports AI recommendations Predictive signals Exportable evidence 🗄 Columnar analytics · Time-series DB
04 — Precision

Measurement accuracy

Precision is the
currency of trust

When sponsorship valuations inform million-euro negotiations, the measurement engine has to be bulletproof. We've built AI models trained sport-by-sport, learning the unique patterns, camera angles, and broadcast formats of each discipline. This isn't generic logo detection — it's purpose-built for the complexity of live sports.

The result is a valuation methodology that holds up in boardrooms and contract renewals. Our models detect brand exposure across TV, streaming, social, press, and events — then translate every detection into a defensible commercial value using standardized media equivalency benchmarks.

Accuracy

Sport-specific detection

Each sport has unique visual patterns, camera angles, and broadcast formats. Our models are trained per discipline, delivering detection accuracy that generalised approaches can't achieve.

Valuation

Defensible media value

Every detection is valued against comparable paid media rates — CPM-based, transparent, and auditable. A number that finance teams and boards understand immediately.

Differentiation

Contextual understanding

Beyond counting logos — our models understand context, sentiment, and visibility quality. A 2-second blur and a 10-second centre-screen placement are valued differently.

Coverage

Cross-channel measurement

Unified measurement across TV, streaming, social media, online press, audio, and live events. One methodology, every channel, consistent and comparable.

Validation

Auditable methodology

Every valuation is traceable back to source material. Clients and their partners can verify any number — building the trust that drives contract renewals.

Benchmarks

Market-calibrated rates

Standardized media equivalency benchmarks calibrated to real market rates. Valuations that align with how brands and agencies already think about media spend.

05 — Technology

Scale-ready infrastructure

Built for scale,
velocity, and security

Foocus is a production-grade platform already handling enterprise workloads. Our architecture is designed for horizontal scaling — adding customers, channels, and markets without rearchitecting. A small, senior engineering team ships features weekly with high velocity, while enterprise-grade security and performance are built into every layer.

Performance

Sub-second analytics

Columnar analytics engine handles billions of data points with blazing-fast query times. Real-time dashboards, not batch reports.

Scale

Horizontal architecture

Pipeline orchestration and async processing built for multi-tenant scale. Adding customers and channels is configuration, not engineering.

Security

Enterprise-grade auth

SSO, MFA, and role-based access control. Tenant isolation and data segregation built into the core architecture.

Cost

Efficient ML inference

Proprietary models on optimized infrastructure. Cost per detection is a fraction of cloud CV API pricing, enabling margin-positive scaling.

Delivery

Global edge deployment

Modern frontend deployed on a global edge network. Fast, reliable, and responsive for users across markets.

Velocity

Rapid iteration

TypeScript full-stack with CI/CD automation. Small, senior engineering team shipping features weekly with confidence.

PRESENTATION APPLICATION AI / ML DATA Dashboards Web app · Mobile 📊 Automated Reports PDF · Email · Scheduled 📄 AI Insights Chat Natural language queries 💬 REST API Partner integrations 🔗 Authentication SSO · MFA · RBAC 🔒 APPLICATION SERVICES Ingestion API connectors Processing Pipeline orchestration Valuation CPM · Benchmarks Reporting Templates · Scheduling Notifications Alerts · Digests User Mgmt Roles · Tenants AI / ML ENGINE Computer Vision Logo detection · Brand tracking NLP Pipeline Mention detection · Sentiment SLM / VLM Contextual AI · User insights Audio Recognition Allears partnership Model Training Sport-by-sport DATA & INFRASTRUCTURE 🗄 Analytics engine Columnar analytics · Time-series Cloud infrastructure Object storage · ML compute Edge network CDN · Global delivery 🔄 Job Queue Async processing 📡 Logs Monitoring
06 — Customers

Customers

Co-created with the market.
Trusted across segments.

Foocus wasn't built in isolation. Our dashboards, reports, and AI features have been co-developed in close collaboration with real users, from commercial directors at top-tier clubs to marketing managers at national brands. This approach has created a product that fits real workflows, not theoretical use cases.

The result: exceptional loyalty and retention. Our customers stay because the platform becomes integral to their commercial operations. We have paying clients across all four segments: brands, rights holders, agencies, and athletes, validating the breadth of our platform.

Brands

Teams

Associations & Federations

Agencies

Athletes

07 — Voices

What our customers say

Words from those
who use it daily

"[Testimonial from Thomas Karlsen at Posten/Bring about how Foocus has changed their sponsorship measurement and reporting.]"

Thomas Karlsen

Posten/Bring

"[Testimonial from Pål Breen about how Norsk Toppfotball uses Foocus to help Norwegian football clubs prove sponsorship value.]"

Pål Breen

Norsk Toppfotball

"[Testimonial from Erik Ramm Nørregaard about how the DØDS Federation uses Foocus for their sponsorship portfolio.]"

Erik Ramm Nørregaard

DØDS Federation

"[Testimonial from Espen Østerhaug about how Playbook uses Foocus to scale sponsorship intelligence across their athlete portfolio.]"

Espen Østerhaug

Playbook

08 — Traction

Traction & growth

Foundation first.
Growth next.

Foocus has built €250K ARR with zero sales and marketing spend, and that's by design. When you're building a platform that values sponsorships worth millions, precision matters more than speed. We chose to spend our early years building the technology right — a valuation engine that is accurate, scalable, robust, and reliable — developed hand-in-hand with demanding enterprise customers like Telenor, Betsson, COOP, KPMG, Norsk Tipping, Eliteserien, and the Olympic Committee.

The historic revenue reflects a deliberate strategy: we have prioritized product depth over sales growth, funded primarily through customer revenue. The result is a production-grade platform already used in real commercial negotiations by athletes, brands, teams, and associations.

Over the past 6–8 months, we've shifted focus to outbound sales, and the response has been immediate. Pipeline is growing, inbound demand is increasing, and new European markets are opening up — without any dedicated marketing effort. The foundation is built. This funding round is about scaling what already works.

Revenue & EBITDA in €thousands (historical) and €millions (forecast) Revenue (historical) Revenue (forecast) EBITDA (positive) EBITDA (negative) HISTORICAL FORECAST €44K +22K 2021 €176K -20K 2022 €187K +20K 2023 €231K -11K 2024 €242K -33K 2025 €0.7M -€0.25M 2026 €1.7M +€0.8M 2027 €4.5M +€2M 2028 €11M +€7M 2029 Seed round Based on signed contracts, renewal rates, and qualified pipeline. Customers increase contract size as they add markets, sports, and sponsorship assets.
€250K
ARR, built with zero sales & marketing spend
4
Segments validated: brands, rights holders, agencies, athletes
0
Sales & marketing spend to date. 100% organic
09 — Model

Monetization

High-margin model
with natural expansion

Annual subscriptions based on portfolio complexity. Customers expand spend as they add features, markets, sports, and assets. Historical data creates high switching costs over time.

Tier 1 — Free
Free
Social media analytics
Basic reporting features
Tier 2 — Basic
€10–100K
+ Press monitoring
+ TV monitoring
+ Logo detection
+ AI chat & recommendations
Tier 3 — Enterprise
€100K+ /yr
+ Multimarket support
+ Podcasts & radio
+ Tailored reporting
+ Outbound API
10 — Landscape

Competitive landscape

From monopoly
to fragmentation

For decades, sponsorship measurement has been a near-monopoly dominated by Nielsen Sports. Their position was built on ownership of official TV ratings data in most markets — the only channel that mattered when sponsorship was primarily about logo exposure on broadcasts and in print.

Over the past 5–6 years, a wave of startups has emerged focusing on digital and social measurement. But we believe we are ahead of the curve — delivering real-time, cost-effective measurement across all channels (TV, social, press, streaming, audio, and events) at scale.

Our partnership with OLOQIKI gives us API-based TV statistics across all countries and channels, including streaming estimates that no other provider can deliver today.

Company Market focus Core proposition Position
Nielsen Sports Global TV & press exposure measurement, official ratings data ownership Market leader
Shikenso Analytics EU AI-powered sponsorship analytics, logo detection on digital channels Challenger
Blinkfire Analytics EU / US Social media valuation, brand exposure tracking Challenger
Camaleonic Analytics EU Sports sponsorship measurement, TV & social analytics Startup
Relo Metrics US Broadcast exposure measurement, computer vision Challenger
Zoomph US Social & digital sponsorship analytics, audience insights Challenger
SponsorPulse US / CA Sponsorship research & audience data platform Startup
Trajektory US Data management for sponsorship and fan data Startup
Foocus Nordics → Global Real-time, cross-channel AI measurement & valuation at low cost Challenger
11 — Partners

Strategic partners

Partnerships that
extend our reach

We've built strategic partnerships that extend our data coverage and geographic reach, without the cost of building everything in-house. Each partner fills a critical capability gap and strengthens our cross-channel proposition.

OLOQIKI

TV statistics internationally. API-based access to broadcast data across all countries and channels, including streaming estimates.

Kantar

TV measurement in the Nordics. Official ratings data for Norway, Sweden, Denmark, and Finland.

Meltwater

Press and media monitoring. Global coverage of online, print, and broadcast news mentions.

Allears

Audio monitoring from Sweden. Podcast, radio, and TikTok audio analysis for mention and brand detection.

12 — The Ask

Investment round

€1–1.3M to build the leading
sponsorship intelligence platform

Foocus has market credibility, paying customers, and clear product direction. The constraint today is technical capacity, not demand. This capital round exists to remove that bottleneck and convert traction into repeatable growth.

€1–1.3M
Raising
€5.5M
Pre-money valuation
18–24 mo
Runway to Series A readiness
55%
Tech team & product development
30%
Sales acceleration
10%
Operations & customer success
5%
Buffer
13 — Roadmap

Execution plan

From founder-led delivery
to product-led scale

Q2–Q3 2026
Growth Foundation
Strengthen team with 2–3 tech + 1 sales & customer success. Self-service onboarding for Tier 2 customers. Reduce founder involvement in delivery by 50%.
Q3 2026
Scalability
Ship AI recommendation engine (beta). Automate logo training process. Improve AI-generated reporting.
Q4 2026
Expansion
UK and Spain market entry (3–5 anchor clients). Selected Western European paid pilots with Tier 1 brands. Partnership with 4–5 local agencies in key target markets.
Q1–Q2 2027
Infrastructure
Boost team to 5–6 engineers, 3 on sales, marketing & customer success. ARR target: 2–3× growth. NRR target: 110%.
14 — Product

Product vision

From measurement tool
to intelligence platform

Foocus is intentionally moving beyond reporting toward decision support. This round funds the transition from Phase 1 to Phase 2.

Phase 1 — Today

Prove value

  • • Real-time cross-channel measurement
  • • Standardized valuation metrics
  • • Defensible reporting
Phase 2 — Next

Understand drivers

  • • Pattern recognition across sponsorships
  • • Context-aware recommendations
  • • Predictive value signals
Phase 3 — Later

Support decisions

  • • Optimization automation
  • • Portfolio intelligence
  • • Market benchmarking at scale
15 — Team

Meet the founders

Built by people who
understand the game

Foocus was founded by a team that combines deep domain expertise in sponsorship and media with strong technical capabilities in AI, machine learning, and product development. We've worked on both sides of the sponsorship table, as buyers, sellers, and advisors.

Glenn Myklebust

Glenn Myklebust

CEO & Co-founder

Former GroupM, Mindshare, and Implement Consulting. 15+ years in media strategy and commercial advisory. Built sponsorship practices for major Nordic agencies.

LinkedIn
Mark Poulsen

Mark Poulsen

CTO & Co-founder

Former IndyRiot and Builton. ML engineering background with expertise in computer vision, data pipelines, and scalable AI systems. Built detection models from scratch.

LinkedIn
Kim André Rønning

Kim André Rønning

CPO & Co-founder

Former Mindshare and Kristiania University College. Data analysis, effect measurement expertise combined with hands-on marketing and sponsorship industry experience.

LinkedIn
Lars Ole Høiby

Lars Ole Høiby

CSO & Co-founder

Former Stratkom, Aabø PR, and SponsorService. Deep commercial network in Nordic and European sponsorship. 20+ years of industry relationships.

LinkedIn

Backers & advisors

Rita Anson

Angel investor / EBAN / Scaling

Michael Holland

Angel investor, ex-Microsoft

Gerhard Heiberg

Ex-IOC CEO

Per Ravn Omdal

Ex-UEFA

Andreas Ygre Wiig

Ex-pro athlete & snowboarder

16 — Vision

The vision

Every sponsorship decision,
powered by intelligence

Foocus is not just measuring sponsorship value. It is building the system that defines what sponsorship value is and how it can be grown. After this round, Foocus should scale revenue without scaling headcount linearly. Core AI-driven insights should be embedded in the product.

Most importantly, Foocus should be perceived not as a reporting tool, but as infrastructure for understanding and growing sponsorship value.

Interested in
a conversation?

We'd love to discuss how Foocus is building the intelligence layer for the global sponsorship industry.

Get in Touch

Glenn Myklebust, Founder & CEO
+47 97 00 01 84  •  glenn@foocus.ai