What specific problem does Grasp solve for financial firms?

Grasp targets the extreme inefficiency of junior-level work in financial advisory. According to Slide 3, firms charge over $100,000 per week for four junior consultants whose tasks are 90% manual. Grasp automates the finding, sorting, and synthesis of information into deliverables like Excel and PowerPoint, theoretically allowing firms to reduce costs or increase output quality.

How does Grasp differentiate itself from ChatGPT or AlphaSense?

On Slide 7, Grasp uses a 2x2 matrix to position itself. It distinguishes itself from 'General-purpose AI' (ChatGPT) by being domain-adapted, and from 'Financial databases' (AlphaSense/Grata) by offering end-to-end workflow automation rather than just AI-enabled search. It also positions itself as a more accessible alternative to the proprietary in-house solutions built by firms like McKinsey or BCG.

What is the size of the market Grasp is attacking?

Slide 9 values the total financial advisory market at $1.4 trillion. It notes that $1.2-$1.3 trillion of that is currently spent on 'Human work,' while only $100-$200 billion goes to data providers like S&P Global and Gartner. Grasp intends to capture a portion of that massive human-labor spend by redistributing it toward AI providers.

What are the backgrounds of the Grasp founders?

The team (Slide 11) combines business pedigree with technical depth. CEO Richard Karlsson and CCO Johan Cederqvist both have backgrounds at McKinsey & Company and the Stockholm School of Economics. CTO Simon Hällqvist comes from Ericsson’s AI team with an M.Sc. in Machine Learning from KTH. The founders have a 10-year working history together.

Is there a clear financial 'Ask' in the deck?

No. The 11-slide deck provided does not include a slide detailing the amount of capital being raised, the valuation, or the specific milestones the team intends to hit with the funding. While Business Insider reports a $1.9M raise, the deck itself focuses entirely on the problem, solution, market, and team.

Grasp Pitch Deck: All 11 Slides + Teardown

See all 11 slides of the Grasp pitch deck — a 2024 Seed deck — with a slide-by-slide teardown of what the deck does well and where it falls short.

Grasp’s 11-slide Seed deck is a masterclass in identifying a high-value, high-friction niche: the manual labor of junior analysts in financial advisory. By highlighting that top-tier firms charge over $100k per week for work that is 90% manual, Grasp creates an immediate economic justification for their AI assistant. The deck successfully differentiates the product from general-purpose AI (ChatGPT) and pure data providers (S&P Global) by positioning itself as an end-to-end workflow tool. While the deck is light on specific unit economics and a formal 'ask' slide, the strength of the founding…

Key takeaways

Top-tier firms charge >100 KUSD per week for a team of four junior consultants whose work is ~90% manual (Slide 3).
The repetitive workflow consists of finding trusted sources, sorting relevant info, and synthesizing into xlsx or ppt (Slide 3).
Grasp positions itself as a 'Domain-adapted AI' that handles end-to-end workflows, unlike general-purpose tools like ChatGPT or Perplexity (Slide 7).
The total financial advisory market is valued at $1.4 trillion, with $1.2-$1.3 trillion currently spent on human work (Slide 9).
Grasp identifies its addressable market as a significant portion of the current human-labor spend in advisory (Slide 9).
The founding team has worked together for over 10 years, combining McKinsey advisory experience with Ericsson AI expertise (Slide 11).
The product output includes automated M&A target lists, strategic buyer lists, and market reports (Slide 5).
The deck omits a specific 'Ask' slide detailing the exact use of funds or the valuation sought during the 2024 round.

Grasp Pitch Deck Analysis

Grasp is a Swedish startup that entered the market in 2024 with a clear mission: to replace the 'grunt work' of investment banking and management consulting with an AI-driven assistant. In a sector where junior analysts are famously overworked and billing rates are astronomical, Grasp’s value proposition is rooted in pure economic efficiency. The following teardown examines the 11-slide deck used to secure their $1.9M Seed round.

Slide 1-2: Branding and Positioning

The deck opens with a minimalist aesthetic. Slide 1 and 2 establish the brand name and the core tagline: "The AI Assistant for finance professionals." This is a classic 'high-concept pitch' that avoids technical jargon in favor of a clear role description. By calling it an 'Assistant,' they set expectations for a tool that augments or replaces specific human tasks rather than just providing a new data dashboard.

Slide 3: The Economic Problem

Slide 3 is the strongest slide in the deck. It quantifies the 'inefficiency' of the status quo with a striking figure: "top-tier firms can charge >100 KUSD per week for a team of four junior consultants." It further notes that these consultants, fresh from university, perform work that is "~90% manual and repetitive."

A footnote on this slide breaks down the time allocation: 50% on finding information, 40% on creating output materials, and only 10% on internal meetings and client interactions. This immediately identifies the TAM (Total Addressable Market) not just as a software budget, but as a labor replacement opportunity. The visual icons on the right side of the slide—Find, Sort, Synthesize—map out the exact workflow Grasp intends to automate.

Slide 4-5: The Solution and Product Output

Slide 5 illustrates the 'Grasp' engine. It shows a simple flow: an advisory professional wants to create lists or research markets, they input the request into Grasp, and the output is generated. Crucially, the slide shows screenshots of actual deliverables: "Your list of M&A targets is ready," "Your list of strategic buyers is ready," and "Your market report is ready."

By showing Excel spreadsheets and formatted reports, Grasp proves they understand the 'last mile' of financial consulting. The value isn't just in the data; it's in the delivery format that the senior partner can immediately use in a client presentation.

Slide 6-7: Competitive Landscape and Differentiation

Slide 7 uses a 2x2 matrix to define the competitive landscape. The axes are 'Data Type' (General vs. Domain-specific) and 'AI Sophistication' (No AI vs. Domain-adapted AI). Grasp places itself in the top-right quadrant as the only "End-to-end financial advisory workflow tool."

General-purpose AI: ChatGPT and Perplexity, which lack the specific financial domain training. · Pure data providers: S&P Global, Statista, and Euromonitor, which provide raw data but not the 'work.' · Financial databases with AI search: AlphaSense and Grata, which help find info but don't necessarily build the final PPT/XLSX deliverables. · In-house solutions: Proprietary tools built by McKinsey, BCG, and PwC, which are not available to the broader market of mid-tier and boutique firms.

Slide 8-9: Market Opportunity and Redistribution

Slide 9 presents a sophisticated view of the market. Rather than just showing a growing bar chart, it describes a "massive redistribution of the $1.4 trillion financial advisory market."

The slide compares the 'Historical' market to the 'Future' market. Historically, $1.2-$1.3 trillion is spent on human work. Grasp argues that AI will eat into this human-labor slice. They highlight their addressable market as a significant portion of that trillion-dollar labor spend. This is a bold claim, suggesting that Grasp isn't just a $20/month SaaS tool, but a platform that can capture a portion of the value previously reserved for junior analyst salaries.

Slide 10-11: The Team

The final slide (Slide 11) focuses on credibility. The founding team is a mix of 'insider' knowledge and 'outsider' technical skill. Richard Karlsson (CEO) and Johan Cederqvist (CCO) provide the domain expertise, with backgrounds at McKinsey and various financial institutions (Fidelio Capital, Deutsche Bank, Nordea). Simon Hällqvist (CTO) provides the technical backbone, coming from Ericsson’s AI team.

The slide emphasizes three key points: the founders have worked together for 10+ years , they have deep user experience from top-tier firms, and the tech team has a strong track record of building AI tools with limited resources. This addresses the two biggest risks in a Seed round: 'Can they build it?' and 'Do they understand the customer?'

What Works in the Grasp Deck

The 'Junior Analyst' Anchor: By anchoring the problem to the $100k/week cost of junior consultants, Grasp makes their software feel like a bargain, regardless of the actual price point. · Workflow Focus: They don't just talk about 'AI'; they talk about xlsx and ppt outputs. This shows a deep understanding of how work actually gets done in finance. · Market Redistribution Narrative: Instead of saying the market is growing, they say the market is being disrupted. This is a more compelling narrative for VCs looking for 'category-defining' companies. · Team Pedigree: The combination of McKinsey and Ericsson is a 'perfect' founding pair for a FinTech AI startup.

What is Missing from the Grasp Deck

The Ask: There is no slide detailing how much they are raising or what the milestones are. While we know they raised $1.9M, a pitch deck usually benefits from a clear roadmap of how that capital will be deployed. · Unit Economics: There is no mention of pricing models. Is it per-seat, per-report, or a percentage of labor saved? · Traction: The deck is very conceptual. There are no mentions of pilot programs, early design partners, or waitlist numbers. For a 2024 Seed round, investors usually look for at least some evidence of 'proof of concept' with a real firm. · Data Sources: While they mention 'trusted sources,' they don't specify if they have proprietary data partnerships or if they are scraping public filings and web data. In finance, data provenance is a major compliance hurdle.

Founder's Guide: What to Copy

The 2x2 Matrix Strategy: Use Slide 7 as a template. Don't just list competitors; group them by 'what they lack' (e.g., 'No AI' or 'General Data') to make your position in the top-right quadrant feel inevitable. · Quantify the Inefficiency: If you are building B2B software, find the 'human cost' of the problem you are solving. Grasp's use of the '$100k per week' figure is a brilliant way to frame the ROI. · Show the Output: Don't just show the UI of your app. Show the final file the user sends to their boss. That is the actual 'value' the customer is buying. · Highlight Team Longevity: If you have worked with your co-founders for a long time, state it explicitly. 'Worked together for 10+ years' is a massive de-risking signal for investors who fear founder conflict.

Frequently asked questions

What specific problem does Grasp solve for financial firms?: Grasp targets the extreme inefficiency of junior-level work in financial advisory. According to Slide 3, firms charge over $100,000 per week for four junior consultants whose tasks are 90% manual. Grasp automates the finding, sorting, and synthesis of information into deliverables like Excel and PowerPoint, theoretically allowing firms to reduce costs or increase output quality.
How does Grasp differentiate itself from ChatGPT or AlphaSense?: On Slide 7, Grasp uses a 2x2 matrix to position itself. It distinguishes itself from 'General-purpose AI' (ChatGPT) by being domain-adapted, and from 'Financial databases' (AlphaSense/Grata) by offering end-to-end workflow automation rather than just AI-enabled search. It also positions itself as a more accessible alternative to the proprietary in-house solutions built by firms like McKinsey or BCG.
What is the size of the market Grasp is attacking?: Slide 9 values the total financial advisory market at $1.4 trillion. It notes that $1.2-$1.3 trillion of that is currently spent on 'Human work,' while only $100-$200 billion goes to data providers like S&P Global and Gartner. Grasp intends to capture a portion of that massive human-labor spend by redistributing it toward AI providers.
What are the backgrounds of the Grasp founders?: The team (Slide 11) combines business pedigree with technical depth. CEO Richard Karlsson and CCO Johan Cederqvist both have backgrounds at McKinsey & Company and the Stockholm School of Economics. CTO Simon Hällqvist comes from Ericsson’s AI team with an M.Sc. in Machine Learning from KTH. The founders have a 10-year working history together.
Is there a clear financial 'Ask' in the deck?: No. The 11-slide deck provided does not include a slide detailing the amount of capital being raised, the valuation, or the specific milestones the team intends to hit with the funding. While Business Insider reports a $1.9M raise, the deck itself focuses entirely on the problem, solution, market, and team.

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

Grasp pitch deck: the facts

Company: Grasp
Year: 2024
Stage: Seed
Slides: 11
Sector: AI, Fintech
Deck type: Seed Pitch Deck
Outcome: $1.9M Raised
Headquarters: Sweden (Europe)

Grasp pitch deck PDF

The full Grasp 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 Grasp pitch deck was used for

This deck is Grasp’s **2024 seed round pitch deck**, used to raise **$1.9M (about €1.7M / SEK 20M) in May 2024** for its AI assistant platform for investment banks and management consultants.[1][2][3][9][12][13] The company, founded in 2020 in Stockholm by former McKinsey consultants and an AI engineer, positioned Grasp as an AI assistant that automates manual research work for top-tier financial firms, competing with incumbents like AlphaSense and McKinsey’s in‑house tools.[1][2] The funds were raised from Yanno Capital and Philian Invest to accelerate product development of Grasp’s generative‑AI platform and support global expansion into more finance firms.[2][3][4][9][12][13] Business Insider’s feature presents this specific 11‑slide deck and explains how Grasp framed its product, market, and competitive positioning during the seed raise.[1]

Business model: Developer of an AI assistant / AI analyst platform that automates complex, manual research and analysis tasks for investment banks and management consultants using generative AI and language models.[2][3][4]

Round: Seed / early‑stage VC.[1][2][3][6][7][9][15]
Lead investor: Yanno Capital[2][3][6][7]
Investors: Yanno Capital[1][2][3][6][7][9][10][12], Philian Invest[1][2][3][6][7][9][12]
Founded: 2020[1][2][9]
Founders: Richard Karlsson[2], Johan Cederqvist Devér[2], Simon Hällqvist[2]
Headquarters: Stockholm, Sweden (Hantverkargatan 8, 112 21 Stockholm)[2][3][9][15]

Year: 2024[1][2][3][6][7][9][12][13][15]

Raised: Approximately $1.9M (about €1.7M / SEK 20M) in equity funding via a seed / early‑stage VC round.[1][2][3][6][7][9][12][13][15]

Industry: Financial software / AI assistant for finance professionals (investment banking, management consulting, private equity).[2][3][4][9]

Total funding: Approximately $9M total funding as of the $7M Series A announcement in October 2025 (seed $1.9M + Series A $7M).[2][8][10]

Use of funds as presented: To accelerate development of Grasp’s generative‑AI assistant platform for finance professionals and to support global expansion, including scaling product and sales capability.[2][3][4][7][9][12]

What happened after the Grasp deck

The 2024 seed deck supported Grasp’s successful $1.9M raise from Yanno Capital and Philian Invest to accelerate its AI assistant for finance professionals; within roughly eighteen months, the company expanded its customer base and secured a $7M Series A led by Octopus Ventures, validating the thesis presented in the seed‑stage pitch.[1][2][3][8][9][10][12][15]

Grasp completed its **$1.9M seed / early‑stage VC round** around May 14, 2024, led by Yanno Capital with Philian Invest
By mid‑2024, Grasp had **launched its SaaS solution** (December 2023) and reported **SEK 3M ARR**, indicating paying cus
In October 2025, Grasp announced a **$7M Series A** funding round led by Octopus Ventures, with participation from Yanno
By the time of the Series A, Grasp’s AI analyst was reportedly used by **almost 200 investment banks, management consult

What the Grasp deck got right

Strong, domain‑specific problem focus in financial services. Grasp addresses a **clear, high‑value pain point**: automating laborious research and analysis tasks for investment bankers and management consultants, a workflow the founders know well from their McKinsey background.[1][2][3][4][9][15] This domain specificity likely resonated with investors reviewing the seed deck.
Early ARR and live SaaS traction at seed-stage. Multiple sources report that by mid‑2024 Grasp had launched its SaaS solution (December 2023) and achieved **SEK 3M ARR**, indicating paying customers and rapid early traction around the time of the seed raise.[9] For a seed‑stage AI SaaS company, this level of ARR provides tangible evidence of product‑market fit, strengthening the pitch.
Balanced founding team with deep domain and technical expertise. The founding team combines **ex‑McKinsey consultants** and an experienced AI engineer (Richard Karlsson, Johan Cederqvist Devér, Simon Hällqvist), giving credibility on both customer insight and technical execution for GenAI in finance.[1][2]
Clear technology vision around GenAI and multi-agent automation. Grasp’s narrative and later Series A communications emphasize **multi‑agent systems and proprietary generative‑AI models** tailored to finance workflows, reinforcing the impression that the seed deck presented a thoughtful technology vision rather than a generic AI wrapper.[2][3][4][8][10][15]
Seed thesis validated by later Series A and broad adoption. Subsequent funding and adoption—**$7M Series A** and nearly **200 finance firms** using the AI analyst by 2025—show that the thesis and positioning in the seed deck translated into measurable growth, suggesting the deck effectively communicated a scalable opportunity.[8][10]
Clear competitive framing against well-known incumbents. The seed materials and coverage explicitly frame Grasp against incumbents like **AlphaSense** and McKinsey’s in‑house tools, which likely helped investors quickly locate the product within an existing competitive landscape and understand the magnitude of the opportunity.[1]

What could have been stronger

Limited externally visible proof points or case studies in seed‑round narrative. External coverage of the 2024 seed round highlights product and vision but provides little evidence of **customer case studies or quantified ROI per client** within the pitch narrative; the seed story mentions ARR and number of users later, but the Business Insider deck description focuses more on positioning against incumbents than on detailed performance metrics.[1][9]
Aggressive competitive framing without fully articulated GTM strategy against incumbents. Grasp’s positioning pits its AI assistant directly against **entrenched incumbents** like AlphaSense and McKinsey’s proprietary tools, which may raise investor concerns about **sales cycle length, switching costs, and defensibility**; publicly available materials emphasize automation benefits but do not fully address go‑to‑market strategy against such powerful incumbents at seed stage.[1][2][3]
Technical differentiation and IP not deeply evidenced in public seed‑round materials. Reports about the seed raise describe Grasp’s technology in broad terms (multi‑agent systems, proprietary generative AI, language models) but do not provide **clear external validation of unique IP, patents, or technical moats** beyond being a tailored GenAI assistant for finance professionals.[2][3][4][10][15]

How an investor would read this deck

What draws attention

Demonstrated **market need** for automating manual research and analysis in investment banking and consulting, a high‑value pain point supported by Grasp’s focus on top‑tier financial firms.[1][2][3][4][9]
Evidence of **early traction** and revenue: SwedishTechNews reports Grasp had launched its SaaS solution in December 2023 and reached **SEK 3M ARR** by mid‑2024, indicating paying customers and product‑market fit at the time of the seed raise.[9]
Strong **founding team** of former McKinsey consultants and an AI engineer, suggesting deep understanding of the target user’s workflow and the technical capacity to build a tailored GenAI platform.[1][2]
Clear **use of funds** narrative: accelerating AI platform development and scaling global expansion into finance; investors Yanno Capital and Philian Invest publicly endorse this strategy.[2][3][4][7][9][12]
Subsequent **Series A round** and adoption by ~200 finance firms by 2025 validate that the story told in the seed deck translated into later growth, making the deck an effective representation of an enduring thesis.[8][10]

Risks that stand out

Competition from large incumbents (e.g., AlphaSense, internal tools at McKinsey and other global firms) that may respond with similar GenAI capabilities and have deeper pockets and embedded relationships.[1][2][3][4][10]
Potential **regulatory and compliance challenges** around using generative AI in finance, including data governance, hallucinations, and explainability demands from risk and compliance teams.[2][3][4][10]
Reliance on continued **quality and reliability of AI outputs**; if Grasp’s assistant produces inaccurate or non‑auditable analysis, adoption by Tier‑1 banks and consultancies could be constrained.[2][3][4][8][10]
The need to maintain a strong **technical moat** as foundation models evolve rapidly and competitors can build similar assistants on top of commoditized AI infrastructure.[2][3][4][10][15]

Questions this deck invites

What specific **workflows** (e.g., company screening, commercial due diligence, industry landscaping) does Grasp’s AI assistant handle end‑to‑end, and how are these workflows measured in terms of **time saved** and **quality of output** for
How does Grasp technically and commercially differentiate itself from **AlphaSense and consulting firms’ in‑house tools**, including data coverage, model architecture, integrations, and pricing?[1][2][3][4]
What are Grasp’s **data sources** and compliance processes (e.g., data licensing, privacy, security) given that it operates in heavily regulated financial environments?[2][3][4][10]
What are the company’s **go‑to‑market dynamics**: average sales cycle length, typical buyer (bank vs. consulting partner vs. CIO), churn rates, and expansion revenue within existing accounts?[2][3][4][9][10]
How has ARR evolved since the reported **SEK 3M ARR** around mid‑2024, and what does the revenue mix look like across investment banking, consulting, and private‑equity segments?[9][8][10]

What founders can take from the Grasp deck

A **very focused use case**—automating research and analysis for investment banks and consultancies—can be compelling for investors when it aligns with the founding team’s prior experience, as shown by Grasp’s ex‑McKinsey founders building tools for their former peers.[1][2]
Positioning an AI product against **specific incumbents** (AlphaSense, McKinsey’s in‑house tools) helps frame the market and competitive landscape clearly, even if it raises questions about differentiation and barriers to entry.[1]
Demonstrating **early ARR and live SaaS usage** before a seed raise (Grasp launched in December 2023 and reported SEK 3M ARR by mid‑2024) can significantly strengthen a seed deck’s credibility for a B2B AI SaaS startup.[9]
Clarifying **use of proceeds**—accelerating AI platform development and global expansion—supported by investor statements, provides a concrete narrative for how capital will translate into product and commercial milestones.[2][3][4][7][9][12]
Connecting the seed‑stage thesis to later outcomes (Grasp’s $7M Series A and adoption by ~200 finance firms) illustrates how a **well‑articulated initial story** around automating knowledge work can remain consistent as the company scales.[8][10]
Targeting a **narrow but high‑value segment** (finance professionals) for GenAI can attract investors who prefer domain‑specific AI applications with clearer monetization paths over broad, horizontal AI tools.[2][3][4][9][10]

Grasp pitch deck: common questions

What does Grasp do?

Grasp is a Stockholm‑based financial software startup that develops an AI assistant (often described as an AI analyst platform) for **investment banks, management consultants, and other finance professionals**, automating complex research and analysis tasks using generative AI and language models.[1][2][3][4][9][15]

How much did Grasp raise in the seed round featured in the pitch deck, and who invested?

Grasp raised **approximately $1.9M (about €1.7M / SEK 20M)** in **May 2024** in a **seed / early‑stage VC round**.[1][2][3][6][7][9][12][13][15] This round was led by **Yanno Capital**, in partnership with **Philian Invest**, which together acquired just under 13% ownership and funded Grasp’s product development and global expansion.[2][3][7][9][12]

Where can I find Grasp’s 2024 seed pitch deck?

The **2024 seed pitch deck** is an 11‑slide presentation featured by **Business Insider**, which shows how Grasp positioned its AI assistant to automate manual research for top‑tier financial firms and to compete with tools like **AlphaSense** and McKinsey’s in‑house solutions.[1] Business Insider’s pitch‑deck article hosts the deck and commentary on Grasp’s fundraising narrative.[1][11][14]

What was the purpose of Grasp’s 2024 seed funding round?

According to Grasp and multiple funding reports, the **$1.9M seed round** was intended to **accelerate development of the GenAI platform**, expand capabilities of the AI assistant, and **support global commercial expansion** into more investment banks and consulting firms.[2][3][4][9][12][13] Subsequent communications reiterate that funds were used to scale product and sales teams and broaden adoption among finance professionals.[4][8][10]

What happened after the seed round? Did Grasp raise more funding or gain traction?

After the 2024 seed round, Grasp announced a **$7M Series A** in October 2025 led by **Octopus Ventures**, with participation from existing investor **Yanno Capital**.[8][10] By that time, Grasp reported nearly **200 investment banks, management consultancies, and private‑equity firms** using its AI analyst globally, with plans to further expand features (including end‑to‑end commercial due diligence and generating pitch decks and investment memorandums).[8][10]