What were the specific terms of the OneScreen.ai angel round?

As stated on Slide 1, the company raised $1.2 million using convertible notes. The notes carried a $5 million valuation cap and a 20% discount for investors, which are standard terms for a high-potential pre-seed or angel stage startup in the North American market.

How does OneScreen.ai define the problem in the OOH advertising market?

Slide 2 identifies three core issues: fragmentation (no single owner has more than 10% of inventory), manual operations (94% of transactions use archaic tools like faxes), and lack of transparency regarding location, pricing, and availability, even for the media owners themselves.

What is the 'IoP' search algorithm mentioned in the deck?

Slide 5 introduces the 'IoP' (Internet of Places) search algorithm as one of the company's 'real world firsts.' It appears to be a proprietary method for mapping and searching fragmented OOH inventory to help marketers find specific billboard locations, such as those reaching 'Affluent Empty Nesters.'

What are the company's primary financial targets?

According to Slide 7, the company is aiming for a Monthly Recurring Revenue (MRR) of $10,000 and a Marketplace GMV of $1 million per quarter. They also target a 1:1 ratio between their 90-day Net ARPU ($10k) and their CAC ($10k).

How does the deck utilize social proof?

The deck features two prominent testimonials. Slide 3 includes a quote from Rob Biederman (Catalant Technologies) calling the incumbent landscape an 'operational sh*t show,' while Slide 4 features Barry Frey (CEO of DPAA) endorsing the timing of the startup's entry into the market.

OneScreen.ai Pitch Deck: All 14 Slides + Teardown

See all 14 slides of the OneScreen.ai pitch deck — an Advertising deck — with a slide-by-slide teardown of what the deck does well and where it falls short.

OneScreen.ai’s pitch deck is a masterclass in identifying a 'broken' market and using external validation to build credibility. By highlighting that 94% of out-of-home (OOH) ads are still sold via manual methods like fax and email, the founders established a clear pain point. The deck successfully raised $1.2 million in an angel round using a convertible note with a $5M cap. While the presentation is light on specific product features, it excels at demonstrating market demand through raw customer quotes and industry leader endorsements. The inclusion of clear unit economic targets, such as a…

Key takeaways

The company raised $1.2 million via convertible notes with a $5M cap and a 20% discount (Slide 1).
The OOH industry is valued at $30B+, yet 50% of inventory goes unsold due to fragmentation (Slide 2).
Manual processes dominate the sector, with 94% of sales occurring via phone, email, and fax (Slide 2).
Local owners control 88.3% of the fragmented OOH inventory ownership, presenting a massive aggregation opportunity (Slide 5).
The product is positioned as a three-part solution: a comprehensive directory, an 'IoP' search algorithm, and a workflow SaaS platform (Slide 5).
OneScreen.ai targets a 90-day payback period with a $10k CAC and a $10k 90-day net ARPU (Slide 7).
The deck uses a 'Why Now?' slide featuring the CEO of the DPAA to link COVID-19 market shifts to tech adoption (Slide 4).
Marketplace Gross Merchandise Volume (GMV) targets are set at $1M per quarter (Slide 7).

OneScreen.ai: Solving the 'Operational Sht Show' of OOH

OneScreen.ai entered the market with a clear mission: to modernize the out-of-home (OOH) advertising industry. As reported by Business Insider, the company raised $1.2 million in a pre-seed/angel round to build a centralized platform for a notoriously fragmented industry. The deck consists of 14 slides, though several are repetitive placeholders in the provided sequence. The core of the pitch relies on the massive delta between the industry's $30B+ size and its archaic, manual workflows.

Slide 1: The Financial Ask and Allocation

The deck opens immediately with the results of the round. Slide 1 states that OneScreen.ai raised $1.2 million to 'transform the fragmented and manual out-of-home industry.' Crucially, it lists the instrument: Convertible Notes with a $5M Cap and a 20% Discount . This level of transparency is rare in public decks but highly effective for establishing the company's valuation baseline.

The slide also includes a 'Use of Funds' pie chart. The largest allocation is R&D at 32.9% , followed by Marketing at 27.6% and Sales at 16.8% . G&A (13.8%) and Customer Success (8.9%) round out the budget. This distribution suggests a product-led growth strategy that still requires significant engineering investment to aggregate the fragmented data sources mentioned later in the deck.

Slide 2: The $30B Problem

Slide 2 uses data from Statista to visualize the growth of outdoor advertising expenditure from 2000 to 2022. The chart shows a steady climb, peaking near $40B in 2019 before a slight dip. The text highlights a staggering inefficiency: 50% of inventory goes unsold . The slide breaks down the 'Why?' into three pillars:

Fragmented: No single entity owns more than 10% of the inventory. · Manual: 94% of inventory is sold via phone, email, and faxes. · Archaic: Basic data points like location, availability, and pricing are often unknown to the owners themselves.

By quantifying the manual nature of the business (94%), the founders create a compelling case for a digital transformation play.

Slide 3: The Voice of the Customer

Instead of a standard 'Problem' slide, Slide 3 uses a high-impact testimonial from Rob Biederman, Chairman and Co-Founder of Catalant Technologies. The quote is blunt: 'OOH was by far our best ABM channel, but we literally couldn't buy it because [incumbent] was such an operational sht show.' This slide serves two purposes: it validates the market demand ('We wanted to spend more money') and identifies the friction point that OneScreen.ai intends to remove. The inclusion of the 'LUMAscape' for Out of Home on the left side of the slide visually reinforces how cluttered and confusing the current ecosystem is for marketers.

Slide 4: The 'Why Now?' and Industry Endorsement

Timing is a critical component of any pitch. Slide 4 features Barry Frey, President and CEO of the DPAA (Digital Place Based Advertising Association). Frey notes that COVID-19 accelerated the industry's willingness to adopt new technology and economic models. This external validation from a major industry body head provides a level of credibility that internal founder claims cannot match. It positions OneScreen.ai not just as a new tool, but as the inevitable beneficiary of a post-pandemic shift in advertising behavior.

Slide 5: The Solution Architecture

Slide 5 outlines the product offering, which it calls 'The real world's first...' three-pronged solution:

Comprehensive Directory: A pie chart shows that 88.3% of inventory is held by 'Local Owners,' while giants like Lamar, Outfront, JCD, and CCO hold only small fractions. OneScreen.ai aims to be the aggregator for these local owners. · 'IoP' Search Algorithm: A screenshot shows a map interface with the caption 'Best Billboards to Reach Affluent Empty Nesters.' This suggests a data-driven approach to placement that goes beyond simple geography. · Workflow SaaS Platform: A visual of a 'Buy Now' button over the industry LUMAscape implies that OneScreen.ai simplifies the entire transaction into a single digital interface.

Slide 6: Expanding the Definition of OOH

Slide 6 introduces the concept of 'Connected Everything: Place-Based CTV.' It shows a bar/restaurant setting with multiple screens. The slide distinguishes between 'Regular Television' and 'Place-Based CTV' (Connected TV). This indicates that OneScreen.ai isn't just targeting traditional billboards, but any digital screen in a public space, significantly expanding their Total Addressable Market (TAM) into the digital signage and retail media sectors.

Slide 7: Targets and Unit Economics

The final content slide, Slide 7 , focuses on the business model and efficiency. The company sets clear near-term targets:

MRR: $10,000 · Marketplace GMV: $1M per Quarter · 90 Day Net ARPU: $10k · CAC: $10k · Payback Period Target: 90 Days

The slide includes a graphic of 'The ARPU <-> CAC Spectrum,' placing OneScreen.ai in a similar quadrant to HubSpot (high ARPU, high CAC) rather than Square (low ARPU, low CAC). By targeting a 1:1 ARPU-to-CAC ratio within the first 90 days, the company is signaling a highly efficient sales motion for an enterprise-adjacent product.

What OneScreen.ai Does Well

The deck is exceptionally strong at market education . Many investors may not realize that a $30B industry is still operating via fax machines. By highlighting the 94% manual stat and the 88.3% local ownership stat, the founders make the opportunity feel like an 'obvious' gap in the market. The use of aggressive social proof —specifically the 'operational sht show' quote—is a bold move that likely resonated with investors who have experienced similar frustrations in other legacy industries.

Furthermore, the financial transparency on Slide 1 and Slide 7 is refreshing. Most pre-seed decks hide their valuation caps or avoid specific unit economic targets. By putting these numbers front and center, OneScreen.ai projects confidence in their business model and their understanding of SaaS metrics.

What is Missing from the Deck

The most glaring omission is a Team Slide . While the publisher-reported facts mention the company is based in North America and raising an angel round, the deck itself does not introduce the founders or their relevant experience in advertising or technology. In an angel round, the 'who' is often as important as the 'what,' and this deck relies entirely on the 'what.'

Additionally, there is no Competition Slide . While Slide 3 mentions an 'incumbent' as a 'sht show,' it doesn't name names or explain how OneScreen.ai differs from other OOH platforms like Adomni or Vistar Media (which actually appear in the LUMAscape on Slide 3). A founder should typically include a 2x2 matrix or a feature comparison table to show their unique competitive advantage.

Finally, the Product Roadmap is thin. Slide 5 shows a few screenshots, but there is no timeline for when the 'IoP' algorithm or the full SaaS workflow will be fully operational across the 88.3% of local inventory they hope to capture.

Founder's Playbook: Lessons to Copy

Founders should emulate the 'Why Now?' slide (Slide 4). By linking their startup to a major global shift (COVID-19) and backing it with a quote from an industry authority, they turn a speculative venture into a timely necessity. If you are entering a legacy industry, find the 'Barry Frey' of your sector to validate your timing.

Another takeaway is the quantification of inefficiency . Don't just say an industry is 'old.' Say it is '94% manual via fax and email.' Specificity creates a sense of urgency. Investors love to solve for 'unnecessary friction,' and OneScreen.ai defines that friction with mathematical precision.

Lastly, the Unit Economics Spectrum (Slide 7) is a great way to show investors you understand your business's place in the broader SaaS ecosystem. By comparing themselves to HubSpot and Square, they give investors a mental model for how the company will scale and what kind of sales force it will eventually need to hire.

Frequently asked questions

What were the specific terms of the OneScreen.ai angel round?: As stated on Slide 1, the company raised $1.2 million using convertible notes. The notes carried a $5 million valuation cap and a 20% discount for investors, which are standard terms for a high-potential pre-seed or angel stage startup in the North American market.
How does OneScreen.ai define the problem in the OOH advertising market?: Slide 2 identifies three core issues: fragmentation (no single owner has more than 10% of inventory), manual operations (94% of transactions use archaic tools like faxes), and lack of transparency regarding location, pricing, and availability, even for the media owners themselves.
What is the 'IoP' search algorithm mentioned in the deck?: Slide 5 introduces the 'IoP' (Internet of Places) search algorithm as one of the company's 'real world firsts.' It appears to be a proprietary method for mapping and searching fragmented OOH inventory to help marketers find specific billboard locations, such as those reaching 'Affluent Empty Nesters.'
What are the company's primary financial targets?: According to Slide 7, the company is aiming for a Monthly Recurring Revenue (MRR) of $10,000 and a Marketplace GMV of $1 million per quarter. They also target a 1:1 ratio between their 90-day Net ARPU ($10k) and their CAC ($10k).
How does the deck utilize social proof?: The deck features two prominent testimonials. Slide 3 includes a quote from Rob Biederman (Catalant Technologies) calling the incumbent landscape an 'operational sh*t show,' while Slide 4 features Barry Frey (CEO of DPAA) endorsing the timing of the startup's entry into the market.

Cover slide of the OneScreen.ai pitch deck — Pre-seed / Angel — OneScreen.ai pitch deck, slide 1

OneScreen.ai pitch deck: the facts

Company: OneScreen.ai
Year: Not stated
Stage: Pre-seed / Angel
Slides: 14
Sector: Advertising / Out-of-Home (OOH)
Deck type: Fundraising
Outcome: $1.2M Raised
Headquarters: North America

OneScreen.ai pitch deck PDF

The full OneScreen.ai 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 OneScreen.ai pitch deck was used for

This deck is a 14-slide pre-seed/angel fundraising presentation used by OneScreen.ai around mid-2021 to raise approximately $1.2M in early funding for its out-of-home (OOH) advertising platform.[1] It positions the company as a data-driven marketplace that lets brands search, purchase, execute, and measure OOH campaigns, aiming to fix inefficiencies in a fragmented, roughly $30B outdoor advertising market.[1] The round tied to this deck was led by TechFarms Capital, with participation from prominent angel investors including HubSpot cofounders Brian Halligan and Dharmesh Shah and other marketing and SaaS operators.[1][2][3][8][10]

Business model: OneScreen.ai provides a software-enabled, data-driven platform to help brands search, buy, run, and measure out-of-home (OOH) advertising campaigns, acting as a marketplace and analytics layer between advertisers and OOH inventory owners.[1][4][7][13]

Round: Pre-seed / Angel[1][8][10]
Lead investor: TechFarms Capital[1][8]
Investors: TechFarms Capital, Brian Halligan, Dharmesh Shah, Wayfund (Wayfair alumni fund), Mike Volpe, Todd Garland, Jeanne Hopkins, Kipp Bodnar
Founded: 2020[5][9][11]
Founders: Andrei O., Greg Wise, Sam Mallikarjunan[11]
Headquarters: Boston, Massachusetts, United States[5][9]
Industry: Advertising technology (AdTech) / Out-of-Home (OOH) advertising[1][4][7][9][13]

Year: 2020–2021 (pre-seed round reported around late 2020, covered by press in mid-2021).[1][8][10]

Raised: Approximately $1.2M–$1.5M in pre-seed/angel funding tied to this 14-slide deck.[1][8][10]

Total funding: Between $4.5M and approximately $9.37M in disclosed funding, including a pre-seed round around 2020–2021 and subsequent seed/early-stage rounds.[5][8][10][12][13]

Use of funds as presented: To build and expand OneScreen.ai’s software platform and marketplace for searching, buying, running, and measuring out-of-home advertising campaigns, including data integrations and inventory aggregation.[1][4][5][7][12][13]

What happened after the OneScreen.ai deck

Following the pre-seed/angel round supported by this deck, OneScreen.ai continued to raise additional seed funding, expanded its platform and inventory coverage, and reached profitability while increasing revenue and headcount; the company remains an active, privately held AdTech player in the OOH market.[6][10][12][13]

Closed a pre-seed/angel round of approximately $1.2M–$1.5M in 2020–2021 led by TechFarms Capital with participation from
Subsequently raised around $3M in a seed round led by Asymmetric Capital Partners and Impellent Ventures later in 2021.[
By early 2022, reported raising a cumulative $4.5M to develop a fintech-enabled OOH marketplace via an all-in-one platfo
Continued raising capital, reaching total funding around $4.7M–$9.37M and becoming profitable while significantly growin

What the OneScreen.ai deck got right

Strong, data-backed market sizing and problem framing. The deck is anchored in a clearly quantified, fragmented **~$30B OOH market**, immediately establishing a large opportunity and a compelling problem narrative around inefficiencies in outdoor advertising.[1]
High-caliber social proof and advisory network. The presentation leans heavily on testimonials and backing from high-profile marketing and SaaS operators, including HubSpot cofounders and other notable angels, providing strong social proof of the team and concept.[1][2][3][10]
Clear and comprehensive product proposition. The product vision—an end-to-end platform to search, buy, run, and measure OOH campaigns—offers a clear workflow improvement and aligns with investors’ familiarity with SaaS marketplaces and analytics tools.[1][4][5][7][13]
Relevant, experienced founding team. Founders and early team members come from relevant backgrounds (former HubSpot and SaaS/marketing leaders), which helps address execution risk in B2B AdTech and supports the credibility of the deck’s claims.[1][3][11]
Early narrative later supported by observable company traction. Subsequent funding rounds and reported revenue growth suggest that the pre-seed narrative in this deck translated into real traction, which retroactively validates the deck’s focus on platform potential and market demand.[6][10][12][13]
Compelling data and analytics thesis for a legacy media market. The emphasis on using movement, behavioral, and anonymized location data to optimize and measure OOH campaigns positions OneScreen.ai as a modern, data-driven solution in a legacy media category, which is compelling for investors.[5][12][13]

What could have been stronger

Limited visibility into early traction and revenue. Available descriptions indicate the deck leaned heavily on market inefficiency data and industry testimonials, but there is no evidence that it presented concrete early traction metrics (e.g., paying customers, booked campaigns, revenue), which would limit investors’ ability to assess execution risk at the pre-seed stage.[1]
Competitive positioning not clearly articulated. The deck is described as focusing on a fragmented $30B OOH market and inefficiencies, but there is no mention of a detailed competitive landscape or clear differentiation versus other emerging automated OOH platforms, leaving how OneScreen.ai stands out somewhat unclear from the deck alone.[1][2]
Heavy reliance on social proof over financial depth. With a strong emphasis on testimonials from well-known industry operators and investors, the deck appears to rely heavily on social proof, but externally available descriptions do not reference detailed unit economics or path-to-profitability assumptions, which could be a gap for more financially focused investors.[1][2][10][13]

How an investor would read this deck

What draws attention

Strength of founding team with prior HubSpot and SaaS/marketing experience and backing by prominent operators like HubSpot cofounders Brian Halligan and Dharmesh Shah.[1][2][3][10][11]
Large, fragmented **~$30B OOH market** with clear inefficiencies in buying, measurement, and attribution that a software platform can address.[1][2][4][5][7][13]
Clear product concept: a marketplace and analytics platform that makes OOH campaigns searchable, purchasable, and measurable using behavioral and location data.[1][4][5][7][12][13]
Early validation from multiple angel investors and funds focused on marketing/AdTech and the later ability to raise additional seed funding.[1][3][6][8][10][12][13]

Risks that stand out

Execution risk in aggregating sufficient OOH inventory and building the marketplace liquidity needed for a two-sided platform in a fragmented industry.[1][2][4][7][13]
Competitive risk from other automated OOH buying platforms and traditional media agencies expanding their own data and analytics capabilities.[2][5][13]
Dependence on third-party data sources (movement, behavioral, location data) and evolving privacy regulations, which could affect targeting and measurement approaches.[5][12][13]
Uncertainty around how quickly brands would reallocate budgets from digital channels to OOH and embrace a new software-driven buying workflow, impacting adoption and revenue growth trajectories.[1][4][7][10][13]

Questions this deck invites

What specific early customer or pilot campaigns were live at the time of this pre-seed round, and what performance or ROI metrics did they demonstrate?
How did OneScreen.ai’s platform technically integrate with OOH inventory owners, and what portion of U.S. OOH inventory was already accessible through the platform at the time of the deck?
How does OneScreen.ai differentiate from other automated OOH buying platforms and demand-side tools in terms of data depth, ease of use, and pricing model?
What were the projected gross margins, customer acquisition costs, and payback periods assumed in the pre-seed financial model underlying this deck?
How did the company plan to navigate regulatory and privacy considerations when using anonymized location and behavioral data for campaign targeting and measurement?

What founders can take from the OneScreen.ai deck

Anchoring a pre-seed narrative in a clearly quantified and fragmented market (a ~$30B OOH sector with evident inefficiencies) can make the opportunity size and problem urgency immediately legible to investors.[1]
Leveraging testimonials and participation from high-profile operators (such as HubSpot cofounders and experienced SaaS/marketing leaders) can provide strong social proof that complements an early-stage product story.[1][2][3][10]
Positioning the product as an end-to-end solution (search, buy, run, measure) for a traditionally offline, opaque category helps investors see both workflow simplification and data/analytics upside in one platform.[1][4][5][7][13]
Clear articulation of how data (movement, behavior, anonymized location) improves campaign targeting and measurement can turn a legacy media category like OOH into a modern, software-friendly thesis that investors understand.[5][12][13]
Demonstrating that an early, relatively small pre-seed round laid the groundwork for subsequent larger seed rounds and revenue growth (as seen in later company milestones) reinforces the importance of using the deck to explain how this capital unlocks specific platform and go-to-market milestones.[6
Highlighting founders’ relevant domain backgrounds (e.g., former HubSpot and marketing leaders) can help mitigate execution risk in complex, B2B, data-heavy markets like OOH advertising.[1][3][11]

OneScreen.ai pitch deck: common questions

What does OneScreen.ai do?

OneScreen.ai is an AdTech startup that offers a data-driven platform for brands to search, buy, run, and measure out-of-home (OOH) advertising such as billboards and transit ads.[1][4][7][13] It functions as a marketplace and analytics tool, using movement and behavioral data and anonymized location data to optimize and track campaigns.[5][13]

What fundraise was this 14-slide OneScreen.ai deck used for?

The 14-slide deck was used for OneScreen.ai’s pre-seed/angel round in 2020–2021, in which the company raised about $1.2M–$1.5M in early funding to build its OOH advertising platform.[1][8][10] The round was led by TechFarms Capital, with well-known angels and operators also participating.[1][2][3][8][10]

Who invested in OneScreen.ai’s early pre-seed/angel round?

According to reporting, the pre-seed/angel round was led by Florida-based TechFarms Capital.[1][8] Other disclosed investors include HubSpot cofounders Brian Halligan and Dharmesh Shah, Wayfair’s alumni fund Wayfund, Lola.com CEO Mike Volpe, BuySellAds.com CEO Todd Garland, and HappyNest CRO Jeanne Hopkins, among others.[1][2][3][8][10]

How much money did OneScreen.ai raise with this pitch deck?

Business Insider reports OneScreen.ai raised $1.2M in pre-seed funding for this deck.[1] Other funding databases list a pre-seed round of about $1.5M in November 2020,[8] while later company communications reference a cumulative $4.5M–$4.7M raised across subsequent rounds.[12][13] For this specific deck, the best directly sourced figure is approximately $1.2M.[1]

What were the key themes and selling points in OneScreen.ai’s deck?

The deck emphasizes fixing inefficiencies in a fragmented ~$30B OOH advertising market and presents OneScreen.ai as a data- and marketplace-driven solution.[1] It leans heavily on market inefficiency statistics and testimonials from high-profile marketing and SaaS operators (several of whom became investors) to validate the problem and the team’s capability to solve it.[1][2][3][10]