Collectiwise Pitch Deck: 15-Slide Breakdown

See all 15 slides of the Collectiwise pitch deck, with a slide-by-slide teardown of what the deck does well and where it falls short.

Collectiwise positions itself at the intersection of predictive analytics and collective intelligence, using the 2008 financial crisis as a cautionary tale for poor decision-making. The deck outlines a product capable of mapping thoughts and monitoring 'tail events' through a microservices architecture. While it identifies a massive total addressable market—citing 70 million business app users and billion-dollar opportunities in the UK and USA—it fails to provide the granular detail required for a professional investment round. The presentation lacks a team slide, a clear go-to-market strateg…

Key takeaways

Slide-by-Slide Analysis

Slide 1: Title Slide

The cover slide introduces Collectiwise as a 'Solution for Collective Decision Making.' The background image of the Golden Gate Bridge in fog is a common trope in tech decks, likely intended to signify a bridge to better outcomes or a San Francisco-centric tech ambition. The subtitle 'Investor Pitch Deck' clearly defines the document's purpose, though the slide lacks a specific date or version number.

Slide 2: The Hook - Lehman Brothers

This slide serves as the 'Problem' statement by using a historical case study. It features a graphic titled 'The Week That Changed A Decade,' detailing the timeline of the Lehman Brothers collapse in September 2008. By highlighting the $3.9bn loss and subsequent bankruptcy, Collectiwise implies that their tool could have prevented such a failure by improving the way the organization processed information and made decisions. It is a high-stakes emotional hook, but it lacks a direct transition into how the software specifically addresses these historical pain points.

Slide 3: The Product

Slide 3 provides a high-level overview of product functionality alongside a screenshot of a web-based dashboard. The dashboard shows a 'Welcome back' message for a user named Austin Agbo, an activity feed, and a 'Balance Feed' for placing conditional bets. The bullet points list five key features: mapping thoughts around an opportunity, suggesting relations between ideas, monitoring for tail events, a microservices architecture, and an invitation system for others to value ideas. The mention of 'conditional bets' suggests the platform uses a prediction market mechanism to aggregate collective wisdom.

Slide 4: Technology

The technology slide lists five technical pillars: Special AI Algorithms, Modular APIs, Artificial General Intelligence (OpenCog), Smart Contracts, and GDPR alignment. The inclusion of 'Artificial General Intelligence' is a bold claim, as AGI remains a largely theoretical or nascent field. Referencing OpenCog provides some technical context, but for an investor, this slide raises more questions than it answers regarding the feasibility and proprietary nature of the tech stack. The background image is an abstract geometric pattern, which adds little to the technical explanation.

Slide 5: Market Positioning

This slide uses a four-circle Venn diagram to position Collectiwise at the center of several massive industries. It cites Statista as the source for the following figures: Enterprise Collaboration Solutions at $58.9 billion, Predictive Analytics at $6.2 billion, and Artificial Intelligence at $4.8 billion. 'Collective Intelligence' is the fourth circle but lacks a valuation. This slide is intended to show the 'Total Addressable Market' (TAM), but it conflates three distinct industries rather than defining a specific niche the company can dominate.

Slide 6: Target Audience

Slide 6 is a 'Big Number' slide, stating there are '70 Million people using business apps.' This is a very broad metric that includes everything from Slack to Microsoft Excel. While it demonstrates a large potential user base, it does not help an investor understand the company's specific 'Serviceable Obtainable Market' (SOM). It functions more as a filler slide to emphasize the scale of the digital workplace.

Slide 7: Revenue Projections

The financial slide provides a simplified revenue model for two regions: the UK and the USA. For the UK, it projects $28 million USD monthly based on 7,000 companies paying $4,000. For the USA, it projects $1.1 billion USD monthly based on 19,464 companies paying $6,000. These figures are extremely optimistic and lack a timeframe or a 'bottom-up' build. There is no explanation for why the US price point is 50% higher than the UK, nor how the company arrived at these specific numbers of target companies.

Slide 8: Closing Slide

The final slide is a standard 'Thank You' with the call to action 'Join us on our journey.' It provides the website URL (collectiwise.com). Notably, there is no contact information for a specific founder, no email address, and no phone number, which is a significant oversight for a document intended to initiate investor dialogue.

What Works in This Deck

The Emotional Hook: Using the Lehman Brothers collapse is an effective way to illustrate the cost of bad decision-making. It immediately establishes the 'why' behind the product in a way that most business professionals can understand.

Visual Consistency: The deck uses a consistent color palette of dark navy and light blue. The typography is clean and legible, which makes the deck feel professional at a glance, even if the content is lacking in depth.

Market Context: The Venn diagram on Slide 5 successfully communicates that the company is trying to bridge the gap between collaboration tools and analytical tools. It helps an investor categorize the startup within the broader tech ecosystem.

What Is Missing

The Team: This is the most critical omission. Investors back people, especially at the early stage. Without knowing who the founders are, their technical background in AI, or their experience in enterprise software, it is impossible to evaluate the execution risk.

Traction: There is no evidence that this product has been tested. A slide showing a pilot program, a waitlist, or even user feedback from a beta version is necessary to prove that there is actual demand for 'collective decision-making' software.

The Ask: The deck does not state how much money the company is looking to raise. Without a clear 'Ask' and a 'Use of Funds' breakdown, the deck feels more like a general presentation than a fundraising tool.

Competition: The deck ignores the competitive landscape. Tools like prediction markets (e.g., Augur or Gnosis) and enterprise collaboration giants (e.g., Slack or Microsoft Teams) are direct or indirect competitors that should be addressed.

Founder Takeaways

Avoid 'Top-Down' Market Slides: Citing a $58 billion market is less impressive than showing how you will capture your first $1 million. Founders should focus on their Serviceable Obtainable Market (SOM) rather than broad industry totals. · Be Specific with Tech Claims: Claiming to use 'Artificial General Intelligence' (AGI) is a red flag for many technical investors unless you have the academic credentials and white papers to back it up. Be specific about what your AI actually does (e.g., natural language processing, sentiment analysis). · Include a Clear Business Model: The revenue slide in this deck is too abstract. A better approach is to show a tiered pricing model (e.g., $10/user/month) and a realistic growth trajectory based on a specific sales strategy. · Never Omit the Team: Even if the team is small, their presence is mandatory. Highlight the unique 'founder-market fit' that makes you the right person to solve this specific problem.

Frequently asked questions

What is the core problem Collectiwise is trying to solve?
Collectiwise aims to solve the problem of poor collective decision-making in large organizations. By referencing the Lehman Brothers collapse on Slide 2, the company suggests that systemic failures occur when organizations cannot effectively map thoughts, categorize events, or monitor for 'tail events' (rare, high-impact risks). The platform is designed to aggregate and value ideas from multiple stakeholders to prevent such catastrophic oversights.
What specific technologies does Collectiwise claim to use?
According to Slide 4, the platform is built on 'Special AI Algorithms,' modular APIs, and Smart Contracts. Most notably, it claims to utilize Artificial General Intelligence (AGI) through OpenCog, an open-source software project. The deck also emphasizes that the technology is 'Aligned with GDPR,' which is a critical compliance factor for enterprise collaboration tools handling internal company data.
How does the company define its market size?
The company uses a Venn diagram on Slide 5 to show it sits at the intersection of three multi-billion dollar markets: Enterprise Collaboration Solutions ($58.9 billion), Predictive Analytics ($6.2 billion), and Artificial Intelligence ($4.8 billion). It also references 'Collective Intelligence' as a fourth pillar, though no specific dollar value is assigned to that segment on the slide.
What are the projected revenues mentioned in the deck?
Slide 7 presents two primary revenue targets: $28 million USD monthly in the UK and $1.1 billion USD monthly in the USA. These figures are calculated by multiplying a set number of companies (7,000 in the UK and 19,464 in the USA) by a flat monthly fee ($4,000 and $6,000 respectively). However, the deck does not explain the rationale behind these specific company counts or price points.
What critical information is missing from the Collectiwise deck?
The deck is missing several fundamental components required for a successful fundraise. There is no team slide, leaving investors unaware of who is building the technology. There is no traction slide showing current users or revenue. Additionally, there is no roadmap, no competitive analysis beyond broad market categories, and no 'Ask' slide specifying the amount of funding sought or the valuation.
Cover slide of the Collectiwise pitch deck
Collectiwise pitch deck, slide 1

Collectiwise pitch deck: the facts

Company
Collectiwise
Slides
15
Sector
Enterprise Software

Collectiwise pitch deck PDF

The full Collectiwise 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 CollectiWise pitch deck was used for

Collectiwise is presented in this deck as an enterprise software platform for collective intelligence and collaborative decision-making in large organizations, using idea mapping, AI and microservices to improve the quality and auditability of strategic decisions. The Slideshare source indicates this is an investor pitch deck published in October 2018, targeted at enterprise customers and the broader predictive analytics/AI market. The deck positions the product as a cloud-based subscription platform for enterprises, with pricing examples starting from a monthly subscription model, but it does not disclose any specific funding round terms or investors. No independent external sources were found that tie this specific 2018 deck to a particular financing round, amount, valuation, or investor set beyond what appears in the Slideshare description itself.

What the CollectiWise deck got right

What could have been stronger

How an investor would read this deck

What draws attention

Risks that stand out

Questions this deck invites

What founders can take from the CollectiWise deck

CollectiWise pitch deck: common questions

What is Collectiwise in this pitch deck?

Collectiwise, as described in the 2018 investor pitch deck, is a cloud-based platform for **collective intelligence and collaborative decision making** in enterprises, designed to help organizations map ideas, structure complex problems, and leverage cognitive diversity for better strategic decisions.

What problem is Collectiwise trying to solve?

According to the Slideshare description for the 2018 "Collectiwise pitch deck + investors," the platform targets **large enterprises** and the **predictive analytics/AI markets**, offering tools to map ideas, invite others to evaluate them, and use AI algorithms and modular APIs to improve decision quality.

How does Collectiwise’s platform work according to the deck?

The deck and its Slideshare description state that Collectiwise is developing a **cloud-based platform** using **AI algorithms**, **modular APIs**, and a **microservices architecture** to support idea mapping, relationship suggestions between concepts, and monitoring of tail events in enterprise decision processes.

What is Collectiwise’s business model and pricing in the deck?

The Slideshare description notes that the company planned a **monthly subscription business model starting at $2,000 per month for under 250 users**, implying a SaaS pricing approach for enterprise teams, but it does not provide further detail on upsell tiers or usage-based components.

Did Collectiwise raise funding with this pitch deck?

The 2018 Slideshare pitch deck does not disclose any specific funding round, amount raised, lead investors, or valuation, and no independent external announcements were found that clearly link this deck to a particular financing event.

Sources

Funding and outcome facts on this page were researched on 2026-08-21 from the pages below.

Collectiwise pitch deck slides

Collectiwise pitch deck slide 1 of 15
Collectiwise pitch deck — slide 1 of 15
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Collectiwise pitch deck — slide 2 of 15
Collectiwise pitch deck slide 3 of 15
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Collectiwise pitch deck slide 4 of 15
Collectiwise pitch deck — slide 4 of 15
Collectiwise pitch deck slide 5 of 15
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Collectiwise pitch deck slide 6 of 15
Collectiwise pitch deck — slide 6 of 15

What each slide of the Collectiwise pitch deck says

Slide 2

WHAT PROBLEMS ARE WE SOLVING? Enterprises are making bad decisions which have negative impact on their business and humanity in general. * People use different mental models to describe the same problematic situation. ¢ Poorly informed decision-making process * Bias assessment

Slide 3

BROTHERS p 10 Lehh - 2 announces a $3.9bn loss =7 Sep 13 Federal Reserve mootsi/' e MAN LEHMAN 'THE WEEK THAT ? liquidation option ROTH Sep 14 UK regulators veto rescue bid from Barclays Sep 15 Lehman Brothers files for bankruptcy protection

Slide 4

el 2 ¥ dl 2% 5 / Py LD ey CLOUD BASED PLATFORM FOR pd COLLECTIVE INTELLIGENCE. Nod oN We understand decision making struggle, Saad gs | N £0 e Improvement of risk management ok A * Leverage the diversity of opinion and x fi) y) thoughts TE * Decentralization of decision process HL * Monetization of knowledge x7 RX ® Innovative gamification a * Visualisation of current resources

Slide 5

THE PRODUCT The things that matter. ¢ Mapping people's thoughts around an opportunity or idea ¢ Suggesl possible relations/ categorise events/circumstances between ideas ¢ Monitoring for tail events ¢ Applications built in microservices architecture so parts can be interchanged ¢ Invite other people to value your ideas [ CollectiWise 'Welcome back, Austin Agbo Lorem ipsum dolor sit amet, consectetur adipiscing elit Aenean euismod bibendum laoreet Activity Feed Balance Feed

Slide 6

000 | fr AN ) ! ® 9 HH GROUP MAPPING THE PREDICTIVE EVALUATION OBSERVATION IDEAS ANALYSIS OF IDEAS BUSINESS ARTIFICIAL

Slide text above is read directly from the Collectiwise deck PDF embedded on this page.

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