Why is the traction slide placed so early in the deck?

Stilta uses Slide 2 to immediately validate the business model. By showing a 100% weekly growth rate and a jump from $0 to a significant MRR in just five weeks, they eliminate the investor's doubt regarding product-market fit. In a crowded AI market, showing that customers are already paying for the solution is the strongest possible opening.

What does 'agentic AI' mean in the context of this deck?

As described on Slide 4, agentic software refers to AI that doesn't just generate text but performs complex workflows like infringement analysis and invalidation defense. The deck emphasizes that 'Traditional GenAI fails' because legal work requires traceable evidence and complex data handling, which Stilta's agents are purpose-built to manage.

How does Stilta justify a $500,000 ACV?

Slide 5 breaks down the market by company size. For the 45,000 companies with over 100 patent families, Stilta estimates a $500k Annual Contract Value (ACV). This is justified by the massive cost of patent litigation ($0.5M-$3.5M per case) mentioned on Slide 3; if the software prevents one loss or identifies one infringement, it pays for itself multiple times over.

Is the lack of a competitor slide a red flag?

In this specific case, no. Because the deck is only 7 slides and focuses on a very high-growth 5-week window, the founders are signaling that they are moving faster than the market. However, for a Series A, investors would typically expect a more detailed breakdown of how they differ from legacy IP tools like Clarivate or LexisNexis.

What is the significance of the team's background?

The team (Slide 6) combines elite corporate experience (McKinsey, Goldman Sachs) with deep AI engineering (QuantumBlack, AWS). This 'bi-lingual' capability—understanding both high-level business strategy and low-level AI architecture—is critical for selling expensive software to conservative legal departments and C-suite executives.

Stilta Pitch Deck: All 7 Slides + Teardown

See all 7 slides of the Stilta pitch deck — a 2024 Seed deck — with a slide-by-slide teardown of what the deck does well and where it falls short.

Stilta’s pitch deck is remarkably lean, consisting of only seven slides to secure a $10.5M Seed round. The narrative is driven by extreme velocity, highlighting a jump from $0 to significant MRR in just five weeks following a February launch. The deck positions the company at the intersection of 'Innovation' and 'Law,' specifically targeting the inefficiencies of patent litigation where single cases cost up to $3.5M. By emphasizing 'agentic' AI—software that can autonomously navigate complex, traceable evidence—Stilta differentiates itself from generic LLM wrappers. The team slide is a powerh…

Key takeaways

The deck leads with a traction slide showing a 100% weekly growth rate over a 5-week period (Slide 2).
The problem is framed through the lens of asset value, noting that 92% of S&P 500 value is intangible (Slide 3).
Stilta highlights the high cost of failure in their niche, citing patent litigation costs between $0.5M and $3.5M per case (Slide 3).
The product is categorized as 'agentic software,' specifically designed for infringement monetization and litigation defense (Slide 4).
Social proof is established early via a testimonial from a Partner at Willkie Farr & Gallagher (Slide 4).
Market sizing is broken down by patent family volume, projecting a $23B opportunity from 45,000 companies with 100+ patent families (Slide 5).
The team features deep technical roots, including a Chief Architect who 'grew up in a patent attorney family' (Slide 6).
The fundraising ask is explicitly tied to building an 'operating system for IP' and expanding beyond litigation (Slide 7).

The 7-Slide Sprint: How Stilta Raised $10.5M

Stilta’s pitch deck is a masterclass in high-velocity fundraising. In an era where decks are often bloated with 20+ slides of market theory, Stilta uses just seven slides to articulate a compelling case for a $10.5M Seed round. The deck, reported by Business Insider as the vehicle for their 2024 raise, focuses on three pillars: immediate revenue momentum, a high-stakes problem, and an elite technical team. By positioning themselves as 'Agentic AI for Patents,' they move beyond the 'AI wrapper' stigma and into the realm of mission-critical enterprise software.

Slide 1: The Hook

The title slide is minimalist, featuring the Stilta logo and the tagline “Agentic AI software for patents.” The use of the word 'Agentic' is a deliberate choice. It signals to investors that this is not a simple chatbot, but a system capable of executing multi-step workflows. In the 2024 AI landscape, 'agents' represent the next frontier of utility, and Stilta claims this territory immediately.

Slide 2: Traction as a Weapon

Most decks save traction for the end. Stilta puts it on Slide 2. The headline, “From $0 to $[X]k MRR in 5 weeks,” is the core of their pitch. The bar chart shows a steep hockey-stick curve starting in February (Week 7) and accelerating through March (Week 12). They highlight a “+100% Weekly growth rate” and note that “~25% is committed annually.” This slide serves to silence any questions about market demand. It proves that the founders didn't just build a tool; they built something the market was desperate to buy the moment it launched.

Slide 3: The $3.5M Problem

Slide 3 defines the 'Problem' by linking it to macro-economic value. They state that “92% of S&P 500 value is intangible,” yet the systems protecting that value are broken. The slide lists three critical pain points:

Patent litigation costs $0.5-3.5M per case. · Traditional GenAI fails because evidence must be traceable and work is data-specific. · Manual workflows lead to months-long lead times.

By anchoring the problem in the multi-million dollar cost of a single case, Stilta sets the stage for high-ticket enterprise pricing.

Slide 4: The Agentic Solution

The 'Solution' slide introduces the product interface and its three core pillars: Prosecution (generate), Litigation (defend), and Portfolio (manage). The slide focuses heavily on the 'Litigation' aspect, showing a detailed product screenshot of an infringement analysis. A key element here is the testimonial from Barrington Dyer, a Partner at Willkie Farr & Gallagher , who calls the pain point a “10/10” and credits Stilta with finding a specific 2010 PDF that changed a case. This is high-value social proof that validates the software's efficacy in a real-world legal setting.

Slide 5: Bottom-Up Market Sizing

Stilta avoids the 'trillion-dollar market' trap by providing a specific, bottom-up calculation on Slide 5. They identify two primary segments:

45,000 companies with 100+ patent families, targeted at a $500k ACV , representing a $23B opportunity. · 1.6M companies with 5-100 patent families, targeted at a $20k ACV , representing a $32B opportunity.

They cite that the $20k ACV is “Already charged by Stilta today for one such customer,” which grounds their projections in reality rather than speculation. The total IP market is pegged at $55B, with a specific $4B niche for Litigation Software.

Slide 6: The Pedigree Team

The team slide (Slide 6) is designed to project competence and reliability. The four founders—Oskar Block (CEO), Petrus Werner (CTO), Oscar Adamsson (CPO), and Tobias Estreen (Chief Architect)—boast backgrounds at McKinsey & Company, Goldman Sachs, AWS, and QuantumBlack. The slide highlights specific achievements, such as leading “+10 agentic AI projects” and generating “+$1B in client value.” A subtle but important detail is mentioned for Tobias Estreen: he “grew up in a patent attorney family,” suggesting a lifelong, intuitive understanding of the domain they are disrupting.

Slide 7: The Series A Roadmap

The final slide, 'Ask,' outlines the plan for the $10.5M Seed round (noted as raising $[X]M in the slide text). The goals are clear: “Hit +$[X] in ARR by end of 2026” and maintain “+[X]% m/m growth.” The use of funds is split between accelerating Go-To-Market (GTM) efforts—specifically hiring patent attorneys to bridge the gap between tech and law—and expanding the engineering team to move “beyond litigation” into the broader IP operating system.

What Stilta Does Exceptionally Well

The primary strength of this deck is its urgency . By showing a 100% weekly growth rate over a 5-week period, the founders create a 'fear of missing out' (FOMO) for investors. They aren't asking for money to see if the product works; they are asking for money to keep up with the demand they've already triggered. Additionally, the deck is highly verticalized . It doesn't claim to solve 'legal tech' broadly; it focuses intensely on the high-value, high-pain niche of patent litigation, which allows for the $500k ACV projections that make the venture math work.

What is Missing from the Stilta Deck

Despite its success, the deck leaves several stones unturned. There is no competitor slide . While the traction suggests they are winning, investors will eventually want to know how they stack up against incumbents like CPA Global or newer AI entrants. There is also no mention of unit economics beyond the ACV. We don't see the Cost of Goods Sold (COGS) for running these 'agentic' workflows, which can be computationally expensive. Finally, the deck lacks a 'Why Now' slide. While the rise of LLMs is the implicit answer, a slide dedicated to the recent shifts in patent law or AI capabilities would have strengthened the narrative.

Founder Takeaways: The Stilta Blueprint

Founders should look at Stilta as a template for Traction-First storytelling . If you have a product that is exploding, you don't need 20 slides. You need to show the graph, explain why the problem is expensive, and prove you have the team to scale it. Specific ACV modeling is another takeaway; by breaking the market down by 'patent families,' Stilta shows they understand their customer's internal metrics. Lastly, the use of hyper-specific testimonials (citing a specific 2010 PDF) is far more effective than generic 'this software is great' quotes. It proves the tool solves the 'needle in a haystack' problem inherent in legal discovery.

Frequently asked questions

Why is the traction slide placed so early in the deck?: Stilta uses Slide 2 to immediately validate the business model. By showing a 100% weekly growth rate and a jump from $0 to a significant MRR in just five weeks, they eliminate the investor's doubt regarding product-market fit. In a crowded AI market, showing that customers are already paying for the solution is the strongest possible opening.
What does 'agentic AI' mean in the context of this deck?: As described on Slide 4, agentic software refers to AI that doesn't just generate text but performs complex workflows like infringement analysis and invalidation defense. The deck emphasizes that 'Traditional GenAI fails' because legal work requires traceable evidence and complex data handling, which Stilta's agents are purpose-built to manage.
How does Stilta justify a $500,000 ACV?: Slide 5 breaks down the market by company size. For the 45,000 companies with over 100 patent families, Stilta estimates a $500k Annual Contract Value (ACV). This is justified by the massive cost of patent litigation ($0.5M-$3.5M per case) mentioned on Slide 3; if the software prevents one loss or identifies one infringement, it pays for itself multiple times over.
Is the lack of a competitor slide a red flag?: In this specific case, no. Because the deck is only 7 slides and focuses on a very high-growth 5-week window, the founders are signaling that they are moving faster than the market. However, for a Series A, investors would typically expect a more detailed breakdown of how they differ from legacy IP tools like Clarivate or LexisNexis.
What is the significance of the team's background?: The team (Slide 6) combines elite corporate experience (McKinsey, Goldman Sachs) with deep AI engineering (QuantumBlack, AWS). This 'bi-lingual' capability—understanding both high-level business strategy and low-level AI architecture—is critical for selling expensive software to conservative legal departments and C-suite executives.

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

Stilta pitch deck: the facts

Company: Stilta
Year: 2024
Stage: Seed
Slides: 7
Sector: Legal tech
Deck type: Fundraising
Outcome: $10.5M raised

Stilta pitch deck PDF

The full Stilta 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 Stilta pitch deck was used for

This deck is a **seed‑stage fundraising presentation** for Stilta, a Swedish legal‑tech startup building agentic AI for patent litigation and broader IP work.[3][11] It was used to raise a **$10.5M Seed round led by Andreessen Horowitz**, with participation from Y Combinator and operators from leading AI companies such as OpenAI, Legora, Lovable, Sana and Listen Labs.[1][2][3][7][8][12][13] The deck emphasizes a short but intense traction window and a deeply technical founding team from McKinsey’s/QuantumBlack’s AI practice, targeting a multi‑tens‑of‑billions IP market.[3][11][13][15] It represents Stilta’s first external funding, following its founding in late 2025 and product launch in early 2026.[3][14][15]

Business model: Stilta provides an **agentic AI platform for high‑stakes patent work**, automating prior art search, invalidity and infringement analysis, and IP portfolio management for law firms and in‑house IP teams.[3][11][13][15]

Round: Seed.[1][2][3][7][8][11][13][15]
Raised: $10.5M Seed round.[1][2][3][7][8][12][13][15]
Lead investor: Andreessen Horowitz (a16z).[1][2][3][7][8][12][14]
Investors: Andreessen Horowitz (a16z), Y Combinator, Microsoft, Founders and operators from OpenAI, Founders and operators from Legora, Founders and operators from Lovable, Founders and operators from Sana, Founders and operators from Listen Labs
Founded: December 2025[3][15]
Founders: Oskar Block, Oscar Adamsson, Tobias Estreen, Petrus Werner[1][3][15]
Headquarters: Stockholm, Sweden, with operations/hiring focus in Stockholm and New York.[3][7][8]
Industry: Legal tech / AI patent litigation software.[3][7][11][13]
Total funding: $10.5M total funding (seed round).[1][2][3][7][8][12][15]

Year: 2026 (funding announcement in May 2026). [2][3][7][8][12][14][15]

Use of funds as presented: Hiring engineers, go‑to‑market staff, and patent experts; expanding teams in Stockholm and New York; scaling the agentic AI platform for patent litigation and high‑stakes IP workflows.[3][7][8][12][14]

What happened after the Stilta deck

Following its late‑2025 founding and early‑2026 product launch, Stilta used this Seed deck to secure $10.5M in its first external funding round, led by Andreessen Horowitz with YC and prominent AI operators. The company has since moved from pilots to early enterprise adoption among major law firms and corporations, and is expanding its team in Stockholm and New York to scale its agentic AI patent‑

Founded in December 2025 by former McKinsey/QuantumBlack engineers.[1][3][15]
Accepted into Y Combinator Winter 2026 batch.[3][11][15]
Launched product in February 2026.[15]
Closed $10.5M Seed round led by Andreessen Horowitz in May 2026, with participation from Y Combinator and operators from
Signed enterprise customers such as Roche, Alfa Laval, and Maersk, and several of the world’s largest IP firms as custom
Began hiring engineers, go‑to‑market staff, and patent experts across Stockholm and New York, expanding beyond the found

What the Stilta deck got right

Tier‑one investor validation at Seed. The deck is backed externally by a **$10.5M Seed round led by Andreessen Horowitz**, plus Y Combinator and prominent AI‑operator angels, which strongly validates the narrative and reduces perceived financing risk for future investors.[1][2][3][7][8][12][14]
Focused wedge in a large, high‑stakes IP market. Stilta operates in a **specific, high‑value niche—patent litigation and IP enforcement**—where workflows are complex, high‑stakes, and expensive, making agentic automation particularly compelling and defensible.[3][7][11][13][15]
Deeply technical founding team from elite AI backgrounds. Coverage highlights a founding team drawn from **McKinsey’s/QuantumBlack’s AI practice and other top engineering roles**, supporting a deck narrative that centers on deep technical expertise and ability to build sophisticated multi‑agent architectures.[1][3][11][15]
Early traction with marquee law‑firm and enterprise customers. The product has already been adopted or piloted by **Am Law 100 firms, Fortune 500 companies, and some of the world’s largest IP firms**, along with specific enterprise customers such as Roche, Alfa Laval, and Maersk—lending strong credibility to traction claims made in the deck.[7][11][15]
Technological differentiation versus general LLMs. Stilta explicitly positions a **multi‑agent AI architecture** that searches patents, scientific literature, web archives, and USPTO history in parallel and claims roughly **3x recall versus general LLMs** on invalidity tasks, giving the deck a clear differentiation story.[11][15]
Compelling momentum narrative in a short timeframe. Public materials show a rapid sequence of milestones—founding in late 2025, YC W26, product launch in February 2026, and Seed in May 2026—which reinforces the deck’s emphasis on **speed and momentum in the first months of the company**.[3][11][15]

What could have been stronger

Limited disclosed financial metrics at Seed. Public coverage of the Seed round focuses on the amount, investors, and team but does **not share detailed financial or usage metrics** (e.g., revenue, pricing, retention), suggesting the deck may lean heavily on qualitative momentum rather than quantified business performance.[1][2][3][7][8][11][15]
Traction framed via logos and pilots rather than detailed adoption data. Articles describe strong customer logos and pilots (Am Law 100 firms, Fortune 500s, major IP firms), but there is **no granular breakdown of deployment depth** (e.g., percent of workflows automated, case outcomes, or contractual commitments), which means the deck likely lacks hard proof of durability of adoption beyond early traction.[7][11][15]
Market wedge and ICP prioritization not sharply quantified in public materials. While sources mention a focus on patent litigation and high‑stakes IP, there is **no externally visible segmentation by use case or buyer persona** (e.g., litigation vs. portfolio management vs. licensing), making it harder for investors to see an explicitly prioritized wedge in the $55B+ IP market the deck targets.[3][11][13]
Economics and pricing structure not visible externally. The coverage does not show clear information about **pricing model or unit economics**, which limits an investor’s ability to assess scalability of the AI‑heavy workflow and long‑term margins based only on the deck.[1][2][3][7][8][11][15]

How an investor would read this deck

What draws attention

Validation that Stilta’s **agentic AI architecture** materially outperforms general LLMs on patent invalidity and infringement tasks, including benchmark design and reproducibility.[11][15]
Depth and durability of traction with **Am Law 100 firms, Fortune 500s, and top IP firms**, beyond initial pilots or proof‑of‑concepts.[7][11][15]
Founding team’s ability to **navigate complex patent litigation and regulatory environments** while scaling software and data pipelines.[1][3][11][15]
Clarity on the **initial wedge** within the broader IP market and pathways to expand into adjacent workflows (portfolio management, licensing, M&A IP due diligence). [3][11][13]

Risks that stand out

Dependence on continued differentiation versus rapidly improving **general LLMs and horizontal legal‑AI platforms**, which could narrow Stilta’s performance advantage over time.[11][15]
Complexity of **sales cycles in enterprise legal and IP**, where adoption requires deep integration into existing workflows and trust from conservative buyers, potentially slowing growth despite strong interest.[7][11][15]
Reliance on accurate and comprehensive **external data sources** (patent databases, scientific literature, prosecution history), where licensing, access, or changes in availability could affect product capabilities.[3][11][15]
Legal and ethical exposure around advising on **litigation strategy and patent validity**, especially if AI outputs are misused or misunderstood by practitioners.[3][11][15]

Questions this deck invites

What concrete benchmark data supports the claim of approximately **3x recall versus general LLMs** on invalidity and prior‑art tasks, and how were those benchmarks constructed?[11][15]
How many active, paying customers does Stilta have today among **Am Law 100 firms and Fortune 500 companies**, and what share of their patent workflows run through Stilta’s platform?[7][11][15]
What is Stilta’s **pricing model** (per‑matter, per‑seat, usage‑based, or enterprise license), and what are the early indicators of gross margin and payback period for sales and onboarding?[1][2][3][7][8][11][15]
How does Stilta source, maintain, and govern access to **patent, scientific literature, and prosecution‑history data**, and what are its data‑security and confidentiality guarantees for sensitive litigation matters?[3][11][15]
What is the roadmap for expanding from patent litigation into other **IP workflows** (portfolio strategy, licensing, valuation) without diluting focus or over‑extending the product?[3][11][13]

What founders can take from the Stilta deck

A very **short deck can still support a large Seed round** when paired with strong external validation: tier‑one investors (Andreessen Horowitz), YC backing, and prominent AI‑operator angels.[1][2][3][7][8][12][14]
Positioning around a **clearly defined, high‑value niche**—patent litigation and IP enforcement—helps an AI startup stand out versus generic legal‑AI tools, especially when coupled with credible technical benchmarks.[3][11][13][15]
Highlighting a **deeply technical founding team** from McKinsey’s AI practice and QuantumBlack, along with rapid post‑founding milestones (YC, product launch, enterprise pilots), can compensate for limited historical financials at Seed.[1][3][11][15]
Early traction framed through **marquee customers and Am Law 100 / Fortune 500 logos** signals market demand and reduces perceived go‑to‑market risk, even if detailed metrics are not public.[7][11][15]
Explicitly contrasting a **multi‑agent architecture** with generic LLM tools in the deck, backed by performance claims, is a powerful way to articulate defensibility in a crowded AI market.[11][15]
Using the deck to anchor a narrative around transforming a **multi‑billion‑dollar IP market** with agentic workflows helps investors connect technical innovation to a sizable business opportunity.[3][11][13]

Stilta pitch deck: common questions

What does Stilta do?

Stilta is a **legal‑tech startup focused on patent litigation and IP management** that uses agentic AI to handle prior art searches, invalidity and infringement analysis, and IP portfolio work for leading IP law firms and corporate IP teams.[3][11][13][15]

How much did Stilta raise in its Seed round, and who invested?

Stilta announced a **$10.5M Seed round** led by Andreessen Horowitz, with participation from Y Combinator and a group of founders and operators from companies such as OpenAI, Legora, Lovable, Sana, Listen Labs, and Microsoft.[1][2][3][7][8][12][14]

When was Stilta founded and what is its background?

Stilta was founded in **December 2025** by four former McKinsey/QuantumBlack engineers—Oskar Block, Oscar Adamsson, Tobias Estreen and Petrus Werner—and went through **Y Combinator’s Winter 2026 batch** before closing its Seed round in May 2026.[1][3][11][14][15]

Who uses Stilta’s product today?

Stilta’s platform is used by **Am Law 100 firms, Fortune 500 companies, and fast‑growing startups**, including enterprise customers such as **Roche, Alfa Laval, and Maersk**, and several of the world’s largest IP firms as customers or pilot partners.[7][11][15]

How is Stilta’s AI different from generic LLM tools?

At the time of the Seed deck, Stilta positioned itself against traditional manual patent research and generic LLMs by highlighting that its **multi‑agent architecture** can search patents, scientific literature, web archives, and USPTO history in parallel and achieve roughly **3x higher recall on invalidity tasks** than general‑purpose LLMs.[11][15]