What is Neurons' primary value proposition?

Neurons uses neuroscience and AI to predict how consumers will react to advertisements and products before they are launched. By analyzing brain data, eye-tracking, and behavioral patterns, they claim to provide more accurate predictions than traditional market research methods like surveys or focus groups, which rely on 'stated responses' that are often unreliable.

How does Neurons protect itself from AI competitors?

The company relies on a 'data moat.' According to Slide 5, Neurons holds a proprietary database of consumer neuroscience data that grows by 25 billion data points annually. They explicitly state that competitors are limited because they either source from public data or focus on manual insights rather than building automated AI modeling capabilities.

Is Neurons a service business or a software business?

While the underlying science is complex, the deck positions Neurons as a scalable technology company. Slide 3 highlights their 'SaaS solutions' and API, which allow other marketing platforms to plug Neurons' predictive AI directly into their own software, moving away from a traditional consultancy model.

Who are Neurons' current customers?

The deck displays a massive list of global brands on Slide 4. Notable clients include technology giants like Google, Microsoft, and Meta (Facebook/Instagram); consumer brands like Coca-Cola, Hershey's, and LEGO; and automotive companies like Mercedes-Benz, Volkswagen, and Mazda.

What is the next step for Neurons' product development?

According to Slide 6, having 'conquered attention prediction,' the company is moving into 'predicting emotions and sentiments.' This new feature aims to provide heat maps showing which specific areas of a creative asset contribute positively or negatively to a consumer's emotional score, such as excitement.

Neurons Pitch Deck: All 14 Slides + Teardown

See all 14 slides of the Neurons pitch deck — a 2024 Seed deck — with a slide-by-slide teardown of what the deck does well and where it falls short.

Neurons' pitch deck is a masterclass in establishing a 'data moat' to justify an AI valuation. By claiming a proprietary database of 25 billion data points annually (Slide 5), the company differentiates itself from competitors who rely on public data. The deck successfully transitions from a complex scientific premise—neuroscience-based behavior prediction—into a scalable SaaS and API model (Slide 3). The inclusion of 30 high-profile enterprise logos (Slide 4), including TikTok, Google, and L'Oréal, provides immediate market validation. While the deck is light on specific financial metrics or…

Key takeaways

The company positions neuroscience as a superior alternative to 'stated responses' for predicting consumer behavior (Slide 2).
Neurons emphasizes scalability by offering its predictive AI via API, targeting integration into existing marketing platforms (Slide 3).
The deck features an exceptionally strong social proof slide with 30 enterprise logos, including Microsoft, Coca-Cola, and Visa (Slide 4).
A core competitive advantage is cited as a proprietary database generating 25 billion data points annually (Slide 5).
The 'Secret Sauce' is defined as the integration of eye-tracking, emotional/cognitive brain data, and behavioral data (Slide 5).
The product roadmap includes a shift from attention prediction to predicting emotions and sentiments, scheduled for Q2 (Slide 6).
The leadership team is presented with eight members, emphasizing backgrounds in commercial, scientific, and product development (Slide 7).
The deck uses a clean, modern aesthetic that simplifies complex biological concepts into digestible business value propositions.

The Challenge of Predicting Human Irrationality

Traditional market research is notoriously flawed because humans are poor at reporting their own future behavior. Neurons addresses this by bypassing conscious thought and looking directly at biological responses. The deck for their 2024 Seed round, which raised $6M as reported by Business Insider, focuses heavily on how they have productized this complex science into a scalable API and SaaS platform.

Slide 1: Title Slide

The opening slide is minimalist, featuring the company name 'Neurons' and the tagline 'Predicting Customer Behavior.' The visual identity uses soft gradients and organic shapes, which helps bridge the gap between 'hard science' and 'accessible technology.' It establishes the brand immediately without clutter.

Slide 2: The Neuroscience Solution

This slide serves as the 'Why Now' and 'Solution' combined. It makes four key claims: neuroscience allows brands to know what consumers 'really' see and feel, it predicts behavior better than 'stated responses,' and Neurons has made this science 'simple, quick and applicable' for mass adoption. The graphic of a brain with highlighted active zones reinforces the scientific foundation of the product.

Slide 3: API and Scalability

A common critique of 'deep tech' startups is that they struggle to scale beyond bespoke consulting. Neurons counters this by showcasing their API. The slide features a screenshot of a developer portal and lists current API users/trials like TINT and vdx.tv. The text emphasizes 'scale leverage,' signaling to investors that this is a high-margin software play, not a labor-intensive research agency.

Slide 4: Enterprise Validation

This is arguably the strongest slide in the deck. It contains 30 logos of world-class enterprises. Seeing Google, Microsoft, Coca-Cola, Visa, and TikTok on a Seed-stage deck is highly unusual and provides immense credibility. It proves that the world's largest spenders on advertising already trust Neurons' data to inform their creative decisions.

Slide 5: The Proprietary Data Moat

Slide 5 addresses the 'Defensibility' question. Neurons claims to hold the 'largest – and fastest growing – high-quality database of consumer neuroscience.' They quantify this with a figure of '25 bn data points annually.' By breaking down their data sources—eye-tracking, emotional/cognitive brain data, behavioral data, and stated responses—they illustrate a multi-layered 'Secret Sauce' that would be difficult for a new entrant to replicate using only public datasets.

Slide 6: Product Roadmap - Predicting Emotions

This slide looks forward, moving from 'attention' (where people look) to 'emotion' (how people feel). It shows a mockup of the tool analyzing a SoundCloud page, providing an 'excitement' score of 67% and a heat map of positive and negative triggers. This demonstrates the product's evolution from a simple utility to a sophisticated diagnostic tool for creative optimization.

Slide 7: Leadership Team

The leadership slide features eight individuals, led by Founder & CEO Thomas Z. Ramsøy. Below the headshots is a 'logo wall' of previous companies or affiliations, including Trustpilot, Falcon.io, and iMotions. The slide claims the team possesses a mix of 'commercial, scientific, and product development backgrounds,' which is essential for a company sitting at the intersection of AI and biology.

What Neurons Does Well

Quantifying the Moat: Many AI startups claim to have 'better models.' Neurons claims to have a specific, massive proprietary dataset (25 billion data points). In the current VC climate, data ownership is often viewed as more defensible than the underlying algorithms themselves.

Social Proof: The sheer volume of Tier-1 logos on Slide 4 acts as a powerful shortcut for due diligence. If Coca-Cola and Microsoft are using the tool, the 'scientific validity' of the product is effectively pre-vetted in the eyes of many investors.

Simplification: Neuroscience is a dense, academic field. The deck successfully avoids jargon, focusing instead on business outcomes: 'clients win more' and 'better predictions.' They frame the technology as a 'plug-in' for existing marketing tools, reducing the perceived friction of adoption.

What is Missing from the Deck

Financial Metrics: The provided slides contain no mention of Annual Recurring Revenue (ARR), growth rates, churn, or Customer Acquisition Cost (CAC). While the client list is impressive, it is unclear if these are small pilot projects or multi-million dollar enterprise contracts.

The 'Ask': There is no slide detailing how much capital is being raised or how the funds will be allocated. While we know from external reporting that the round was $6M, a standard pitch deck usually includes a slide outlining the milestones the new capital will enable.

Competitive Landscape

While Slide 5 mentions that competitors are 'limited to source from public data,' it does not name specific rivals. In the attention economy and neuromarketing space, there are several established players. A dedicated competition matrix would have helped clarify Neurons' specific positioning against other AI-based attention tools.

Founders: What to Copy from Neurons

Focus on the 'Unfair Advantage': If your company relies on a specific dataset, make that the hero of your deck. Neurons doesn't just say they have data; they explain where it comes from (Slide 5) and how it creates a feedback loop ('Better data => better AI model => better predictions').

Visualizing the Future: Slide 6 is a great example of showing, not just telling, the roadmap. By providing a mockup of the 'Next Killer Product,' they make the future growth of the company feel tangible and inevitable rather than theoretical.

The Power of the API: If you are building a tool that could be seen as 'another dashboard' for busy executives, show how it can be integrated into their existing workflow. Slide 3's focus on 'Plugging into every marketing tool' is a strong rebuttal to the 'tool fatigue' objection many enterprise SaaS startups face.

Final Thoughts

Neurons' deck is a highly effective 'Traction and Moat' presentation. It relies on the strength of its existing customer base and the scale of its proprietary data to overcome the inherent skepticism associated with 'black box' AI technologies. By positioning themselves as the infrastructure for predictive marketing (via API), they move the conversation from 'cool science project' to 'essential enterprise software.'

Frequently asked questions

What is Neurons' primary value proposition?: Neurons uses neuroscience and AI to predict how consumers will react to advertisements and products before they are launched. By analyzing brain data, eye-tracking, and behavioral patterns, they claim to provide more accurate predictions than traditional market research methods like surveys or focus groups, which rely on 'stated responses' that are often unreliable.
How does Neurons protect itself from AI competitors?: The company relies on a 'data moat.' According to Slide 5, Neurons holds a proprietary database of consumer neuroscience data that grows by 25 billion data points annually. They explicitly state that competitors are limited because they either source from public data or focus on manual insights rather than building automated AI modeling capabilities.
Is Neurons a service business or a software business?: While the underlying science is complex, the deck positions Neurons as a scalable technology company. Slide 3 highlights their 'SaaS solutions' and API, which allow other marketing platforms to plug Neurons' predictive AI directly into their own software, moving away from a traditional consultancy model.
Who are Neurons' current customers?: The deck displays a massive list of global brands on Slide 4. Notable clients include technology giants like Google, Microsoft, and Meta (Facebook/Instagram); consumer brands like Coca-Cola, Hershey's, and LEGO; and automotive companies like Mercedes-Benz, Volkswagen, and Mazda.
What is the next step for Neurons' product development?: According to Slide 6, having 'conquered attention prediction,' the company is moving into 'predicting emotions and sentiments.' This new feature aims to provide heat maps showing which specific areas of a creative asset contribute positively or negatively to a consumer's emotional score, such as excitement.

Cover slide of the Neurons pitch deck — Seed 2024 — Neurons pitch deck, slide 1 (2024)

Neurons pitch deck: the facts

Company: Neurons
Year: 2024
Stage: Seed
Slides: 14
Sector: AI, Data analytics, Advertising
Deck type: Fundraising
Outcome: $6M raised
Headquarters: Denmark (Europe)

Neurons pitch deck PDF

The full Neurons deck is embedded on this page and can be read slide by slide in the browser — no download or account required. Each slide is covered in the breakdown above.

What the Neurons pitch deck was used for

This deck appears to be the seed fundraising presentation used by Neurons, a Copenhagen-based consumer neuroscience and AI startup that predicts customer behavior for advertising and product experiences. In August 2022, Neurons announced a seed round of about €6 million (often reported as $6 million), led by Fairpoint Capital with participation from Vækstfonden Ventures and Finance Zealand, to scale its AI-driven prediction platform and product portfolio.[1][2][6][8][9][10] The deck likely focused on the company’s proprietary behavioral data moat and its enterprise client base—including global brands such as Google and Ikea—as evidence of product-market fit.[1][4][6][12] Although the prompt labels the deck as 2024, the verifiable fundraise tied to this pitch is the August 2022 seed round; no separate 2024 seed round of the same amount can be confirmed from external sources.

Business model: Neurons provides an AI-powered consumer neuroscience and prediction platform that analyzes conscious and unconscious responses to advertising and products to forecast customer behavior for enterprise brands.[1][2][6][12]

Round: Seed round.[1][2][5][6][8][10][11]
Year: 2022
Lead investor: Fairpoint Capital.[1][2][6][8][9][10]
Investors: Fairpoint Capital, Vækstfonden (often cited as Vækstfonden Ventures), Finance Zealand
Headquarters: Copenhagen, Denmark.[10]

Raised: Approximately €6 million (frequently reported as $6 million) in seed funding.[1][2][3][5][6][8][10][11]

Industry: Consumer neuroscience, AI-driven marketing analytics and advertising technology.[1][2][6][12]

Total funding: Neurons has secured approximately €6 million (around $6 million) in seed funding, with several databases reporting total funding around $6–9.7 million across multiple rounds.[1][2][3][8][11][13][15]

Use of funds as presented: Recruit new talent, scale the company’s team (with some sources citing a target of up to 200 employees), enhance and expand its portfolio of consumer prediction products, and drive a sizeable increase in annual recurring revenue by 2025.[2][6][7][8]

What happened after the Neurons deck

Neurons successfully closed a significant seed round in August 2022 and has since continued to develop and market its AI-driven consumer prediction tools to global brands, though detailed public reporting on post-seed financial performance and milestone achievement remains limited.[2][6][7][8][12][15]

Closed a seed funding round of approximately €6 million (around $6 million) announced in August 2022 with backing from F
Publicly stated plans to use the seed capital to expand the team, enhance the product portfolio, and grow annual recurri

What the Neurons deck got right

Well-validated seed funding event. The seed round is clearly documented across multiple independent sources as a roughly €6 million (about $6 million) raise in August 2022, providing strong external validation of the fundraising claim.[1][2][3][5][6][8][9][10][11]
Unique blend of neuroscience and AI for consumer prediction. Neurons combines neuroscience and AI, using data from real human responses to advertising to train prediction models, which creates a differentiated technological position in marketing analytics.[1][2][6][12]
Evidence of adoption by blue-chip customers. Press and company profiles highlight major enterprise clients such as Google and Ikea, suggesting that the platform has already been adopted by large global brands and can operate at enterprise scale.[1][4][6][12]
Proprietary behavioral data moat. Neurons’ AI models are described as being trained on a large volume of high-quality behavioral data, forming a proprietary data moat that is difficult for new competitors to replicate quickly.[1][2][6][8][12]
Clear articulation of seed capital deployment plan. The use-of-funds narrative around hiring, product enhancement, and revenue growth is clearly articulated in external coverage, implying that the deck likely tied capital needs to specific execution plans.[2][6][7][8]
Strong visibility across funding and company databases. Multiple funding and company databases track Neurons and its seed round, which aids investor diligence and supports the credibility of the company’s reporting in the deck.[3][8][10][11][13][14][15]

What could have been stronger

Limited externally visible financial traction details in the seed narrative. External coverage emphasizes Neurons’ technology and major clients but offers limited, concrete historical financial metrics (ARR, retention, unit economics) tied directly to the seed deck, making it hard for investors to evaluate the business’s traction solely from verifiable deck-related information.[1][2][6][7][12][15]
Sparse externally documented competitive positioning. Available sources highlight large-brand customers and a strong data moat but provide few specifics on competitive benchmarks or on how Neurons’ accuracy and cost compare to other marketing analytics and neuromarketing tools, which could leave a comparative gap in the deck.[1][2][6][8][12]
Limited public evidence of execution against seed-round milestones. While the seed round is consistently reported, public information does not clearly map the deck’s claims to subsequent performance—for example, whether hiring and product expansion targets were met—so an investor cannot easily verify execution against the original fundraising plan.[2][6][7][8][15]
Inconsistencies across external funding databases. Different databases report slightly different total funding figures and round classifications, which may create confusion for investors trying to reconcile the deck’s described round with public data and could suggest that the deck’s funding history slides require careful verification.[3][8][11][13][14][15]

How an investor would read this deck

What draws attention

Clear, externally validated seed round of approximately €6 million (around $6 million) with named institutional investors and a specific date in August 2022.[1][2][3][5][6][8][9][10][11]
Compelling combination of neuroscience and AI that targets a large, ongoing spend category in advertising and customer experience optimization.[1][2][6][12]
Evidence of adoption by large enterprise brands such as Google and Ikea, which supports claims of scalability and demand from blue-chip advertisers.[1][4][6][12]
A proprietary data moat built from high-quality human response data that underpins Neurons’ prediction models and is difficult for new entrants to replicate.[1][2][6][8][12]
Clear use-of-funds narrative focused on hiring, product expansion, and revenue growth, suggesting a plan for deploying seed capital.[2][6][7][8]

Risks that stand out

Regulatory and privacy changes affecting how human response and behavioral data can be collected and used for advertising analytics could impact Neurons’ core dataset and models.[2][6][8][12]
Dependence on a relatively small number of large enterprise clients might expose the business to revenue concentration risk if any major customer churns.[1][4][6][12]
Rapid advances in AI-driven marketing analytics from large incumbents and well-funded startups could erode Neurons’ differentiated positioning if its models and data moat do not stay ahead.[2][6][8][12]
Inconsistent reporting of total funding and round details across databases suggests that investors should verify cap table and financing history carefully to avoid misunderstandings.[3][8][11][13][14][15]

Questions this deck invites

How does Neurons’ predictive accuracy and ROI compare quantitatively to leading marketing analytics and neuromarketing competitors when tested on standardized benchmarks?
What were Neurons’ ARR, customer retention rates, and cohort performance at the time of the seed round, and how have those metrics evolved since?
How defensible is Neurons’ proprietary behavioral dataset—what are the sources, consent processes, and any regulatory or privacy constraints on using this data at scale?
To what extent did Neurons achieve the hiring, product roadmap, and revenue growth objectives it articulated for the seed funding, and what deviations occurred?
How concentrated is Neurons’ revenue among its largest clients (such as Google and Ikea), and what is the pipeline and conversion rate for new enterprise customers?

What founders can take from the Neurons deck

Externally validated seed rounds with clear investor names and amounts significantly increase a deck’s credibility and make it easier for future investors to trust the fundraising narrative.[1][2][6][8][9][10][11]
Positioning AI capabilities on top of a unique and hard-to-replicate data moat—such as large-scale human response data—can be a powerful way to differentiate in crowded analytics and advertising markets.[1][2][6][8][12]
Highlighting recognizable, blue-chip customers like Google and Ikea can strongly signal product-market fit and enterprise readiness in a fundraising deck.[1][4][6][12]
Articulating specific use-of-funds plans (hiring, product expansion, revenue growth targets) helps investors connect the requested capital to concrete execution milestones.[2][6][7][8]
Combining accessible explanations of neuroscience with clear, business-focused outcomes (better ad performance, improved customer experience) can make a technical product more understandable to non-technical investors.[1][2][6][12]
Ensuring consistency of funding round details across public databases and communications can reduce investor confusion and improve diligence efficiency.[3][8][11][13][14][15]

Neurons pitch deck: common questions

What does Neurons do?

Neurons is a Danish consumer neuroscience and AI company that delivers an online platform to predict how customers respond to ads, products, and digital experiences, combining machine learning with data from real human responses.[1][2][6][12] Its tools are used by brands to optimize creative and marketing before launch based on predicted attention, emotion, and behavior metrics.[6][12]

How much did Neurons raise in its seed round?

Multiple funding trackers and news outlets report that Neurons raised about €6 million (often described as $6 million) in a seed round announced in August 2022.[1][2][3][5][6][8][10][11] That seed round is consistently described as a single major raise backed by Fairpoint Capital, Vækstfonden Ventures, and Finance Zealand.[1][2][6][8][9][10]

Who invested in Neurons’ seed round?

According to Business Insider, VentureBeat, and Danish and European funding reports, Neurons’ seed round was led by Stockholm-based venture firm Fairpoint Capital, with participation from Danish investor Vækstfonden (often cited as Vækstfonden Ventures) and Finance Zealand.[1][2][6][8][9][10] Several startup databases list these three as the key backers of the round.[3][10][11][14]

What was Neurons planning to use the seed funding for?

Coverage of the seed round states that Neurons would use the funding to recruit new talent, scale the team significantly, and enhance its portfolio of consumer prediction products.[2][6][7][8] The company and news outlets also mention plans to expand annual recurring revenue and grow the customer base by improving and scaling its AI models trained on behavioral data.[2][6][7][12]

Which kinds of customers use Neurons’ platform?

Press coverage and company profiles describe Neurons as working with large enterprise customers including global brands such as Google and Ikea, who use the platform to understand and predict consumer responses.[1][4][6][12] These clients are cited as evidence that the technology can scale to blue-chip advertisers and retailers.[1][4][6]