CalypsoAI Pitch Deck (2022): 14-Slide Breakdown

See all 14 slides of the CalypsoAI pitch deck — a 2022 deck — with a slide-by-slide teardown of what the deck does well and where it falls short.

CalypsoAI’s November 2022 deck is a strategic blueprint for a company moving from specialized government work to broad enterprise application. By positioning themselves as the 'Cybersecurity for AI' leader, they utilize a proprietary threat library developed through work with the US Department of Homeland Security and the Air Force to validate their technology. The deck effectively uses a 'land and expand' narrative, showing how their presence in high-risk government sites provides the 'rich insights' necessary to build a commercial product suite. While the provided slides lack specific finan…

Key takeaways

CalypsoAI: Securing the Machine Learning Frontier

The CalypsoAI deck from November 2022 is a prime example of a 'credibility-first' pitch. In a sector as technical and emerging as AI security, the founders chose to lead with the magnitude of the problem and the weight of their existing partnerships. By the time an investor reaches the product roadmap, the company has already established itself as a trusted partner of the US military and intelligence communities. This teardown examines how they structured this narrative and where the gaps remain.

Slide 1: Title Slide

The title slide is minimalist, featuring the logo and the tagline 'Cybersecurity for AI.' The date 'November 2022' is clearly marked. This is a standard, professional opening that immediately defines the category the company intends to own. The background pattern suggests a mesh or shield, subtly reinforcing the security theme without being distracting.

Slide 2: The Problem - Exponential Threat Growth

Slide 2 focuses on the 'Increasing complexity' and 'new security risks' associated with AI. It features a bar chart showing 'Adversarial attack examples' sourced from Google Scholar. The data shows a clear upward trend: from 199 in 2014 to 8,980 in 2021. Crucially, the slide notes that AI models are 'non-deterministic,' which serves as the technical justification for why traditional cybersecurity tools are insufficient. This slide does the heavy lifting of proving that the problem is both real and growing at an exponential rate.

Slide 3: Industry Impact

This slide expands the problem from a technical niche to a broad economic threat. It lists five verticals: Energy & Utilities, Financial Services, Healthcare, Transport & Security, and Consumer Services. For each, it provides specific examples of demonstrated attacks, such as 'Insurance Fraud: Falsified claims/personas' and 'Malpractice due to medical device attacks.' By citing specific use cases (and using footnotes for sources), CalypsoAI demonstrates that their market is not just government, but every major industry adopting AI.

Slide 4: The Competitive Moat

Slide 4 introduces the 'Proprietary library of AI attacks & defenses.' The company claims to be the 'market leader' based on three pillars: the largest threat library, the most critical customers (US Government), and on-prem insights. The phrase 'developed from the most high-risk, most active sites' is a powerful way to describe their R&D process. It tells investors that their product isn't just theoretical; it's being forged in the most demanding environments on earth.

Slide 5: Battle-Tested Validation

This is the 'social proof' slide, and it is exceptionally strong. It is divided into three sections: 'Currently Protecting,' 'Partnered With,' and 'Industry Accolades.' The mention of a 'Program of record with Department of Homeland Security' and being 'Part of $249m JAIC contract' provides immense valuation support. The logos of PwC, Microsoft, AWS, and Dell further suggest a robust ecosystem of partners. This slide effectively removes 'technology risk' from the investor's mind.

Slide 6: Product Roadmap and Strategy

Slide 6 outlines the transition from a service-heavy government provider to a scalable product company. The timeline shows a shift from 'R&D' in 2019 to 'Expansion into Financial Services' in 2023 and 'Healthcare' in 2024. The product breakdown is clear: Penetration Testing is the current offering, with an ML Firewall, Threat Intelligence, and Edge Detection coming in 2023 and 2024. This gives investors a clear view of how the company intends to capture the enterprise market over time.

Slide 7: The Sales Strategy (ML-Sec-Ops)

The final slide in this sample explains the 'ML-Sec-Ops' concept. It maps the company's sales strategy to the historical evolution of DevOps. By targeting Data Scientists, CDOs, and CISOs with specific value propositions, CalypsoAI shows they understand the enterprise buying committee. This slide is critical because it explains how they will sell a complex technical product to large organizations.

What CalypsoAI Does Well

The deck excels at Category Creation . By repeatedly using the term 'Cybersecurity for AI' and 'ML-Sec-Ops,' they are positioning themselves as the inevitable leader of a new, necessary vertical. Their use of government contracts as a 'moat' is also brilliant; it suggests a level of technical sophistication and 'security clearance' that competitors would find difficult to replicate quickly. The visual design is clean, data-driven, and avoids the 'hype' often associated with AI startups.

What is Missing from the Deck

While the narrative is strong, the provided slides leave several critical questions unanswered. There is no Team Slide in this 7-slide sample, which is a major omission for a technical teardown. Investors need to see the pedigree of the engineers and researchers building this 'largest threat library.' Furthermore, there are no financial metrics . While they mention being part of a $249m contract, they don't state their specific share of that revenue or their current ARR from enterprise clients. Finally, the 'Ask' is missing . We don't know how much they are raising or what the specific milestones for that capital are, other than the general product roadmap.

Founder Takeaways: What to Copy

Leverage High-Stakes Validation: If you have government or enterprise pilots, frame them as 'battle-testing' your tech for the broader market. · Define the Category: Use consistent terminology (like ML-Sec-Ops) to own a specific space in the investor's mind. · Map to Historical Success: Comparing your sector's growth to a known quantity (like the rise of DevOps) helps investors understand the potential trajectory and exit opportunities. · Use Specific Use Cases: Don't just say 'AI is dangerous.' List specific ways it can be exploited in healthcare, finance, and infrastructure to make the threat feel tangible.

Frequently asked questions

What is CalypsoAI's primary value proposition?
CalypsoAI positions itself as the provider of 'Cybersecurity for AI.' Their core value lies in a proprietary library of adversarial attacks and defenses. They argue that because AI models are non-deterministic, they require a fundamentally different security approach than traditional software. They leverage their experience with high-risk government clients to provide 'battle-tested' security for machine learning models in the enterprise sector.
How does CalypsoAI validate its market leadership?
The company uses high-level government partnerships and industry accolades for validation. Slide 5 lists a program of record with the DHS, a role in a $249m JAIC contract, and partnerships with major firms like PwC and Microsoft. They also cite being a Gartner 'Cool AI Vendor' and their involvement in shaping NIST standards as proof of their standing in the AI security market.
What does the product roadmap look like?
As of November 2022, the roadmap shows a transition from testing to active defense. Their penetration testing platform was 'Available Today,' with an ML Firewall (Security Gateway) scheduled for Q1 2023. Further down the line, they planned to release Threat Intelligence in Q1 2024 and Edge Detection in Q4 2024, aiming for an end-to-end security solution across the risk stack.
What is the 'ML-Sec-Ops' strategy mentioned in the deck?
CalypsoAI draws a parallel between the 2010s evolution of DevOps into Dev-Sec-Ops and the current 2020s evolution of ML into ML-Sec-Ops. Their strategy is to target different stakeholders within an organization: Data Scientists for model robustness, CDOs for critical vulnerability management, and CISOs for organizational-wide AI security and infrastructure protection.
What critical information is missing from this pitch deck?
Based on the 7 slides provided, the deck is missing a team slide, which is crucial for assessing technical expertise. It also lacks any mention of current revenue, burn rate, or specific unit economics. Most importantly, there is no 'Ask' slide detailing how much capital they are raising or how those funds will be allocated to achieve the stated roadmap.
Cover slide of the CalypsoAI pitch deck — 2022
CalypsoAI pitch deck, slide 1 (2022)

CalypsoAI pitch deck: the facts

Company
CalypsoAI
Year
2022
Slides
14
Sector
Cybersecurity / AI
Deck type
Investor Pitch Deck

CalypsoAI pitch deck PDF

The full CalypsoAI 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 CalypsoAI pitch deck was used for

This is CalypsoAI’s November 2022 investor pitch deck, a 14-slide fundraising deck in the cybersecurity/AI sector. The deck was used around the company’s November 2022 Series A financing and frames the raise around global expansion and product innovation. The deck’s core claim is that CalypsoAI had already built a proprietary adversarial-attack and defense library, with the US government as a high-risk customer base providing real-world threat exposure.

Business model: AI security / model validation software that secures, monitors, and red-teams AI and machine learning systems for enterprise and government customers.

Round
Series A
Year
2022
Raised
$13M
Lead investor
Paladin Capital Group
Investors
Paladin Capital Group, Lockheed Martin Ventures, Frontline Ventures, Manta Ray Ventures, Lightspeed Venture Partners, Pallas Ventures, 8VC
Founded
2018
Founders
Davey Gibian, Neil Serebryany, Victor Ardulov
Headquarters
Dublin, Ireland; also reported in New York, NY / San Francisco, CA across sources
Industry
Cybersecurity / AI security
Total funding
$38.2M

Use of funds as presented: Global expansion and innovation; the company also framed the raise around product development and scaling AI/ML security capabilities.

What happened after the CalypsoAI deck

The deck appears to have been used for the November 2022 $13M Series A financing. CalypsoAI later raised an additional $23M in 2023 and was ultimately acquired by F5 in 2025, but those later outcomes were not part of the deck itself.

What the CalypsoAI 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 CalypsoAI deck

CalypsoAI pitch deck: common questions

What fundraise was this deck tied to?

CalypsoAI raised $13M in a Series A financing announced in November 2022, led by Paladin Capital Group with participation from Lockheed Martin Ventures, Frontline Ventures, Manta Ray Ventures, Lightspeed Venture Partners, Pallas Ventures, and 8VC.

How long is the deck and when was it made?

The deck is a 14-slide November 2022 investor pitch deck.

What was CalypsoAI’s main positioning in the deck?

The company’s pitch at the time was that its proprietary attack-and-defense library and deployment in high-risk government environments created a defensible moat.

Did CalypsoAI raise more money after this deck?

External sources indicate CalypsoAI later raised $23M in a Series A-1 in June 2023, bringing total funding to $38.2M.

Who founded CalypsoAI?

The research points to CalypsoAI being founded in 2018 by Davey Gibian, Neil Serebryany, and Victor Ardulov, though the deck itself does not supply founder details.

Sources

Funding and outcome facts on this page were researched on 2026-08-22 from the pages below.

CalypsoAI pitch deck slides

CalypsoAI pitch deck slide 1 of 14
CalypsoAI pitch deck — slide 1 of 14
CalypsoAI pitch deck slide 2 of 14
CalypsoAI pitch deck — slide 2 of 14
CalypsoAI pitch deck slide 3 of 14
CalypsoAI pitch deck — slide 3 of 14
CalypsoAI pitch deck slide 4 of 14
CalypsoAI pitch deck — slide 4 of 14
CalypsoAI pitch deck slide 5 of 14
CalypsoAI pitch deck — slide 5 of 14
CalypsoAI pitch deck slide 6 of 14
CalypsoAI pitch deck — slide 6 of 14

What each slide of the CalypsoAI pitch deck says

Slide 2

Al adoption & complexity are increasing With parameters getting exponentially larger 3 years: 16000x increase in the largest model parameters Coadle 1.6T params _ ~N o ~N @&0OpenAL GPT-3 1758 params | |} [| T-NLG SAnvbia. 00 @&OpenAL Mega-LM &0penAT Google GPT-2 _— GPT BERT params 1.5B oT 0.338 params params pela — - 2018

Slide 3

Increasing complexity is opening up new security risks With adversarial actors exploiting new surfaces Adversarial attack examples = (source: "Adversarial Attacks” - Google Scholar) 6870 3470 1680 = B 199 257 350 | | 2014 2015 2016 2017 2018 2019 2020 2021 Documented instances and examples of adversarial attack types have grown exponentially. The attack surface of Al models is fundamentally different from traditional software due to their non-deterministic nature.

Slide 4

Adversarial attacks can now affect any model type Examples from our best-in-class proprietary adversarial threat repository A gradient based attack is the most common type of Al attack. These attacks work by modifying the gradients of inputs. We defend against more than 30 types of gradient-based attacks By modifying the probability of object detection, attackers cause misclassification and large scale model attack. We defend against more than 10 types of score-based attacks Al Attackers can attack an Al model without any knowledge of the algorithm. They do this by attacking the decision boundaries that an Al algorithm uses to make decisions NP OB Modifying characters or words to mislead mo…

Slide 5

Increasingly, attacks are affecting every industry With the potential to erode trust & cripple critical infrastructure ATTACKS ON Al MODELS HAVE ALREADY BEEN DEMONSTRATED IN THE FOLLOWING USE CASES: UTILITIES FINANCIAL SERVICES HEALTHCARE TRANSPORT & SECURITY" CONSUMER SERVICES Distributed grid Insurance Fraud: Malpractice due to medical CCTV and security cameras: Misleading Human & Virtual management - Falsified claims/ device attacks - Mislead detection Assistants: personas - Make objects/people invisible - Misread sentiment Battery Management Transaction Fraud: - Leveraging Systems - Falsifying signatures Airport Scanners: psychoacoustics and Industrial Control - Spoofing transactions -…

Slide 7

Our proprietary library of Al attacks & defenses is already regarded as the market leader Developed from the most high-risk, most active sites We have developed the largest library of adversarial attacks and defenses across model types. This robustness is key to being the market leader in our category. Our library benefits from having the most high-risk, critical customers in the world: the US government. Through this client base, we are exposed to a greater range of attacks than most other companies. Because we are actively deployed on-prem in critical government sites, we are able to gather rich insights into risk mitigation products, opportunities, and strategies that apply across vertic…

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

Related fundraising guides (24)

Decks from the same year (1)

Browse companies alphabetically (1)

More pitch deck teardowns (16)

Recently published pitch deck teardowns (12)

Fundraising library · Pitch deck examples · Investor directory · Founder database