What is the primary problem Spade is solving?

Spade addresses the issue of obscured transaction data. Current card infrastructure often reduces merchant information to unrecognizable strings of letters and numbers. Spade cleans and enriches this data in real-time to provide banks and fintechs with a clear merchant identity, which is essential for fraud prevention and authorization decisions.

How does Spade differentiate its technology from competitors?

The deck highlights speed and depth as key differentiators. Spade reports a p99 latency of less than 50 milliseconds, whereas they claim competitors take up to 2 seconds. Additionally, they emphasize 'data matching and enrichment' rather than just simple 'cleansing,' providing deeper insights like geolocation and merchant logos.

Who are Spade's target customers?

According to Slide 5, Spade targets banks, fintechs, anti-fraud platforms, and card issuers. Their current customer list includes notable names in the corporate card and banking-as-a-service space, such as Ramp, Mercury, and Unit.

What metrics does Spade use to prove its value?

Spade cites several key performance indicators: 99.9% merchant coverage in the US, a 25% reduction in disputes for customers, and 'double-digit' improvements in fraud detection models. These figures aim to show both the breadth of their data and the tangible ROI for financial institutions.

What is missing from the Spade pitch deck?

The deck is missing several standard Series A components, including a slide detailing the specific amount being raised (the 'Ask'), a breakdown of how funds will be used, a financial forecast or revenue growth chart, and a formal competitive matrix.

Spade Pitch Deck: All 13 Slides + Teardown

See all 13 slides of the Spade pitch deck — a 2023 Series A deck — with a slide-by-slide teardown of what the deck does well and where it falls short.

Spade’s 13-slide Series A deck is a masterclass in technical positioning within the fintech infrastructure space. By highlighting a specific, archaic pain point—transaction data that hasn't changed since the 1960s—Spade establishes an immediate need for its real-time merchant intelligence platform. The deck relies heavily on performance benchmarks, such as a sub-50ms latency, and social proof from high-growth fintech customers like Ramp and Mercury. While the deck lacks a traditional 'Ask' slide or detailed financial projections, it successfully communicates a clear value proposition: turning…

Key takeaways

Spade identifies a massive scale problem, noting that 2 billion transactions occur daily on infrastructure dating back to the 1960s (Slide 3).
The platform offers a technical performance edge with a p99 latency of <50ms, compared to a 2-second industry standard (Slide 11).
Spade claims to cover 99.9% of merchants in the US, providing granular data like geolocation and merchant contact info (Slide 5).
The deck uses a 'Sample Transaction' slide to visually demonstrate the transformation of raw, unreadable strings into structured data (Slide 7).
Customer validation is strong, featuring logos from prominent fintechs including Unit, Mercury, Sardine, Ramp, Coast, and Motive (Slide 9).
The product claims to reduce transaction disputes by 25% and generate double-digit fraud model improvements (Slide 11).
The team slide emphasizes pedigree, showing experience from Square, Uber, Venmo, and Blend (Slide 13).
The deck omits a specific funding ask, financial roadmap, or detailed competitive landscape analysis.

Introduction: The Infrastructure Play

Spade’s Series A deck, used to raise $10M in 2023, is a focused narrative on fixing the 'broken' plumbing of the financial world. As reported by Business Insider, this round was intended to scale their merchant intelligence platform. The deck itself is 13 slides long, though only a selection of key slides are analyzed here. It follows a classic infrastructure-as-a-service (IaaS) logic: identify a legacy bottleneck, present a high-performance technical solution, and prove it with early adopter logos.

Slide 1: Title and Positioning

The cover slide establishes Spade as 'The fastest and most accurate provider of real-time merchant intelligence for the card ecosystem.' This is a high-signal opening. It doesn't just say what they do; it claims two specific competitive advantages: speed and accuracy. The branding is minimalist, using a blue-to-purple gradient that is common in modern fintech, signaling that they are a contemporary technology company rather than a legacy financial services provider.

Slide 3: The Problem of Legacy Infrastructure

Slide 3 sets the stakes. It states that 'Every day, 2 billion transactions happen on card data infrastructure that hasn’t changed since the 1960s.' This is a classic 'why now' and 'why this matters' slide. By anchoring the problem in the 1960s, Spade frames the current system as archaic and unfit for modern needs. The slide explains that due to strict data standardization and character limits, merchant identities are obscured by 'a string of letters and numbers' by the time they reach an issuing bank. The right side of the slide visually reinforces this with a wall of unreadable transaction strings, creating a visceral sense of the chaos banks have to deal with.

Slide 5: The Solution and Data Depth

Slide 5 introduces Spade’s real-time merchant intelligence as the bridge for this gap. The slide is highly technical, which is appropriate for a Series A infrastructure pitch. It claims that in less than 50ms, Spade can link a transaction to a 'granular merchant identity' covering 99.9% of US merchants. The slide breaks down exactly what data is returned: Consistent Merchant ID, granular geolocation (lat/long), clean merchant name/logo, and contact information. This slide is critical because it defines the product not just as a cleaner, but as an enrichment engine that enables 'informed authorization decisions' and 'fraud prevention.'

Slide 7: The 'Before and After' Visual

Slide 7 is perhaps the most effective slide in the deck. It provides a 'Sample transaction' comparison. On the left, it shows the raw data: 'CRDFRMCOM' with a generic MCC code and a phone number. On the right, it shows the Spade-enriched output: 'Credcall, LLC,' a digital channel, a specific industry category (Banking and Finance - Credit Reporting), a match score of 93.8, and a full address with coordinates. This visual proof-of-concept makes the abstract value proposition of the previous slides concrete. It shows an investor exactly what the customer is buying.

Slide 9: Customer Validation and Social Proof

For a Series A, traction is paramount. Slide 9 displays logos of 'Industry leaders' using Spade’s data. The list includes Unit, Mercury, Coast, Sardine, Ramp, and Motive. These are not just random companies; they are high-growth fintechs and 'banking-as-a-service' platforms that handle massive transaction volumes. Including Ramp and Mercury specifically signals that Spade is already integrated into the workflows of the most sophisticated new players in the card ecosystem. This slide serves as a proxy for technical due diligence—if Ramp is using it, the tech likely works at scale.

Slide 11: Differentiators and Use Cases

Slide 11 moves into the 'moat' and 'expansion' territory. It lists three key differentiators: 1) Speed ( The final slide presented is the team slide. It features the three founders: Oban MacTavish (CEO), Cooper Hart (CTO), and Tess Bloch (Operations). Below them, it mentions '+ 10 team members' and displays logos from Square, Uber, Venmo, Blend, Lyft, Acorns, and Pinwheel. This is a 'pedigree' slide. It tells investors that while the team is small, they come from the exact companies (Square, Venmo, Uber) that have had to solve these transaction data problems internally in the past. It suggests a high level of domain expertise and 'founder-market fit.'

What Works in the Spade Deck

Specific Technical Benchmarks: Spade doesn't just say they are fast; they cite a p99 latency of The 'Before and After' Contrast: Slide 7 is a masterclass in showing, not telling. By placing the unreadable raw string next to the enriched data, they eliminate the need for complex explanations of how the API works. The value is self-evident.

Strategic Customer Selection: The logos on Slide 9 are perfectly aligned with their target market. By winning the 'modern' fintech stack first (Ramp, Mercury), they create a narrative of inevitability when they eventually move toward legacy banks.

What is Missing from the Spade Deck

The Financials: There is a total absence of revenue figures, growth rates (MoM or YoY), or unit economics. While this information is often kept in a separate data room, a Series A deck usually includes at least a trend line or a 'North Star' metric growth chart to show momentum.

The Ask: The deck ends without a slide stating how much they are raising or what the milestones for the next 18-24 months are. While the publisher reports a $10M raise, the deck itself doesn't guide the investor toward a specific transaction.

Competitive Landscape: While they mention 'competitors' in passing on Slide 11 regarding latency, they don't name them or provide a feature-by-feature comparison. In a crowded fintech data space, investors would likely want to know how they stack up against incumbents like Plaid or specialized players like Snowdrop Solutions.

Founder's Playbook: What to Copy

Use the 'Legacy' Frame: If you are building infrastructure, frame the status quo as 'archaic.' Spade’s mention of the 1960s is a powerful way to make their solution feel like a mandatory upgrade rather than a luxury.

Quantify the Pain: Don't just say your product saves money. Say it 'reduces disputes by 25%.' These specific figures give investors a hook to build their own ROI models during due diligence.

Focus on Pedigree: If your team comes from industry giants, use those logos prominently. In early-stage fintech, where trust and security are everything, having 'Venmo' or 'Square' on your team slide acts as a significant de-risking mechanism.

Keep it Visual: Spade avoids long paragraphs. They use icons, flowcharts (Slide 5), and data samples (Slide 7) to tell the story. This makes the deck highly skimmable, which is how most VCs will consume it on a first pass.

Frequently asked questions

What is the primary problem Spade is solving?: Spade addresses the issue of obscured transaction data. Current card infrastructure often reduces merchant information to unrecognizable strings of letters and numbers. Spade cleans and enriches this data in real-time to provide banks and fintechs with a clear merchant identity, which is essential for fraud prevention and authorization decisions.
How does Spade differentiate its technology from competitors?: The deck highlights speed and depth as key differentiators. Spade reports a p99 latency of less than 50 milliseconds, whereas they claim competitors take up to 2 seconds. Additionally, they emphasize 'data matching and enrichment' rather than just simple 'cleansing,' providing deeper insights like geolocation and merchant logos.
Who are Spade's target customers?: According to Slide 5, Spade targets banks, fintechs, anti-fraud platforms, and card issuers. Their current customer list includes notable names in the corporate card and banking-as-a-service space, such as Ramp, Mercury, and Unit.
What metrics does Spade use to prove its value?: Spade cites several key performance indicators: 99.9% merchant coverage in the US, a 25% reduction in disputes for customers, and 'double-digit' improvements in fraud detection models. These figures aim to show both the breadth of their data and the tangible ROI for financial institutions.
What is missing from the Spade pitch deck?: The deck is missing several standard Series A components, including a slide detailing the specific amount being raised (the 'Ask'), a breakdown of how funds will be used, a financial forecast or revenue growth chart, and a formal competitive matrix.

Cover slide of the Spade pitch deck — Series A 2023 — Spade pitch deck, slide 1 (2023)

Spade pitch deck: the facts

Company: Spade
Year: 2023
Stage: Series A
Slides: 13
Sector: Fintech
Deck type: Fundraising
Outcome: $10M Raised
Headquarters: N. America

Spade pitch deck PDF

The full Spade 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 Spade pitch deck was used for

This pitch deck is Spade’s **Series A fundraising deck from 2023**, used to raise **$10M** to scale its real-time merchant intelligence platform for card issuers and the broader card ecosystem.[1][2][3] The company focuses on enriching card transaction data in real time, mapping messy authorization strings to accurate merchant profiles to improve fraud detection and customer experience.[2][6][8] The Series A round was led by Flourish Ventures with continued participation from Andreessen Horowitz (a16z), Gradient Ventures, Y Combinator, Dash Fund, and Everywhere Ventures (The Fund).[2][3][5][11][12] Funds were earmarked to grow the team, expand merchant intelligence products, and support international expansion beyond the US.[2][6][11]

Business model: Spade provides a real-time merchant intelligence and transaction enrichment API for the card ecosystem, linking raw card authorization strings to verified merchant identities, categories, logos, and geolocation so card issuers can improve fraud models and customer experience.[2][6][9]

Round: Series A.[1][2][3]
Lead investor: Flourish Ventures.[2][3][5][11][12]
Investors: Flourish Ventures, Andreessen Horowitz (a16z), Gradient Ventures, Y Combinator, Dash Fund, Everywhere Ventures (The Fund)
Headquarters: New York, United States.[2][3][6]

Year: 2023.[1][2][3]

Raised: $10M Series A round closed/announced December 6, 2023.[2][3][5][6][11][12]

Industry: Fintech; payments / fraud prevention / transaction data enrichment infrastructure.[2][6][8]

Total funding: Public sources indicate Spade has raised at least $10M in a December 2023 Series A round; later coverage references a total funding of $56.1M after a $40M Series B announced in April 2026.[2][10]

Use of funds as presented: Grow the team (including doubling headcount), continue development of merchant intelligence and fraud‑focused products, and expand operations internationally beyond the US card ecosystem.[2][6][11]

What happened after the Spade deck

The 2023 Series A pitch deck successfully supported Spade’s $10M raise to expand its real‑time merchant intelligence platform. Following this round, the company deepened its product and market presence, ultimately securing a larger $40M Series B funding round in 2026 and articulating a broader vision as a data and AI platform for financial services.[2][6][9][10]

Closed a $10M Series A round led by Flourish Ventures with continued participation from Andreessen Horowitz, Gradient Ve
Used Series A funding to grow the team, further develop merchant intelligence products, and begin international expansio
Subsequently announced a $40M Series B round in April 2026 led by Oak HC/FT with participation from Andreessen Horowitz,

What the Spade deck got right

Clear, mission‑critical value proposition in card fraud and authorization. Spade’s deck is backed by a clearly articulated **real‑time merchant intelligence** value proposition for the card ecosystem, addressing a concrete, high‑stakes problem—clean transaction data for fraud detection and authorization—which resonates with banks and fintech issuers.[2][6][8]
High‑credibility investor syndicate validating the deck. The Series A round attracted a **strong syndicate of specialized fintech and infrastructure investors**, including Flourish Ventures as lead and continued participation from Andreessen Horowitz, Gradient Ventures, Y Combinator, Dash Fund, and Everywhere Ventures, signaling high external validation of the deck’s story and metrics.[2][3][5][11][12]
Compelling technical benchmarks aligned with issuer pain points. External coverage notes that the deck leans on **technical benchmarks** (e.g., speed and accuracy of merchant intelligence) and issuer‑relevant metrics, which is compelling for a data infrastructure product where performance directly affects fraud outcomes and cardholder experience.[1][2][6][11]
Effective use of customer logos to demonstrate traction and ecosystem fit. Business Insider’s teardown highlights the deck’s use of **customer logos** to validate Spade’s position in the modern fintech stack, effectively signaling traction and ecosystem integration without over‑relying on narrative alone.[1]
Strong articulation of data asset and platform defensibility. Funding and investor commentary consistently frame Spade around its **ground truth merchant database** and real‑time enrichment API, suggesting the deck communicates a defensible data asset and platform, not just a single feature or point solution.[2][6][9]
Narrative that scales from point solution to broader data and AI platform. The success of this deck in closing the Series A and paving the way for a much larger Series B in 2026 indicates that the Series A narrative created a coherent bridge from immediate fraud/authorization pain points to a broader **data and AI platform** vision that later investors could underwrite.[8][9][10]

What could have been stronger

Limited explicit linkage from technical benchmarks to quantified business outcomes. External write‑ups of the deck highlight Spade’s strong technical benchmarks and customer logos but provide little evidence that the deck clearly quantifies business outcomes (e.g., specific fraud loss reductions, lift in authorization rates, or ROI) tied to those metrics. This may leave some investors wanting more direct linkage from performance benchmarks to financial impact and customer value.[1]
Sparse visibility into unit economics and pricing in publicly discussed sections. The deck is described as validating Spade’s place in the modern fintech stack with technical benchmarks and customer logos, but available coverage does not mention detailed unit economics, pricing, or margin structure. For a Series A infrastructure company, the absence (or downplaying) of these elements in the externally discussed deck sections could be a concern for investors focused on path to profitability.[1]
Customer logos may not clearly differentiate depth of customer relationships. While the deck reportedly leans on customer logos to demonstrate traction, external commentary does not describe whether the deck distinguishes between pilots, paid production deployments, and long‑term contracts. If the logos are not clearly segmented by relationship depth, some investors may question the durability and monetization of that traction.[1]
Potentially light competitive landscape analysis in the deck. Public descriptions emphasize Spade’s technical performance (speed and accuracy) and positioning in the fintech stack, but do not reference any detailed competitive landscape slide content (e.g., specific competitors and relative performance). If such detail is limited in the deck, investors may perceive a gap in how Spade situates itself versus alternative transaction enrichment or fraud‑prevention solutions.[1][2][8]

How an investor would read this deck

What draws attention

Validation of **technical performance benchmarks** (e.g., latency under 50 ms, ~99% accuracy) that directly drive fraud detection and authorization decisions.[2][6][11]
Depth and quality of **issuer and fintech relationships** represented by customer logos, including pilots vs. full production use.[1]
Evidence that Spade’s real‑time transaction enrichment materially improves **fraud loss, authorization rates, and customer experience** for card issuers.[2][6][8]
The scalability and defensibility of Spade’s underlying **ground truth merchant database**, including coverage, refresh cadence, and data acquisition strategy.[2][6][9]
Plan to use Series A proceeds to build a category‑defining **data and AI platform for financial services**, and how this bridges to later‑stage rounds like the Series B.[8][9][10]

Risks that stand out

Reliance on high technical performance and data quality claims (speed, accuracy, coverage) without independently validated benchmarks in the publicly discussed portions of the deck could pose execution and credibility risk if actual performance under large‑scale issuer loads diverges.[1][2][6][11]
If customer logos in the deck include early‑stage pilots rather than long‑term production deployments, there is a risk that apparent traction may not translate into durable ARR or strong net revenue retention.[1]
Competition risk from other transaction enrichment, merchant data, and fraud‑prevention providers, particularly large incumbents or data aggregators that may already be deeply embedded with issuers and networks.[2][8][9]
Data and regulatory risk associated with operating a real‑time merchant intelligence platform at scale, including compliance with data privacy, security, and card network rules across multiple jurisdictions as Spade expands internationally.[2][6][11]

Questions this deck invites

How do Spade’s reported latency and accuracy benchmarks (e.g., under 50 ms and ~99% accuracy) perform across different issuer integrations and edge cases, and how are these metrics measured and audited? Investors would want to see real cust
What specific fraud, authorization, and customer experience outcomes have marquee issuers achieved using Spade (e.g., percentage reduction in fraud losses, lift in approval rates, reduced false declines), and how are these outcomes presente
How deep and durable are the issuer and fintech relationships behind the customer logos in the deck (contract terms, retention, expansion, and share of transaction volume processed through Spade)?[1]
How does Spade’s merchant data coverage, enrichment quality, and API performance compare to alternative transaction enrichment or fraud‑prevention providers, and what concrete advantages (technical or commercial) does Spade demonstrate in t
What are Spade’s unit economics at Series A—pricing model, gross margins, infrastructure costs per transaction—and how does the company plan to improve these as volume scales, particularly given its ambition to be a data and AI platform for

What founders can take from the Spade deck

A Series A deck for a fintech infrastructure company can credibly lean on **technical benchmarks and customer logos** to demonstrate product‑market fit and integration into the modern fintech stack, especially when the problem is highly technical (e.g., real‑time fraud detection).[1]
Explicitly tying **technical metrics to business outcomes** (fraud loss reduction, authorization lift, customer satisfaction) is critical; external commentary around Spade’s deck suggests investors care how speed and accuracy translate into issuer economics, not just raw performance claims.[1][2][6]
For data‑infrastructure plays like Spade, clearly describing the underlying **data asset and moat** (ground truth merchant database, coverage, enrichment quality, and update cadence) helps investors understand defensibility beyond the API surface.[2][6][9]
Including recognizable **issuer and fintech logos** in a deck can quickly validate traction and ecosystem relevance, but investors will probe the depth of those relationships, so founders should be prepared with contract and usage details.[1]
Communicating how a Series A round will be used to build toward a broader **data and AI platform strategy** (as later described in Spade’s Series B narrative) helps investors see a path from solving a narrow pain point to owning a larger category.[8][9][10]
For fraud‑focused fintech infrastructure, framing the product around **mission‑critical authorization and fraud decisions** for card issuers resonates strongly in fundraising narratives, as seen in how Spade’s round was positioned to power critical authorization decisions and real‑time fraud detecti

Spade pitch deck: common questions

What does Spade do?

Spade is a New York-based fintech infrastructure company that provides **real-time merchant intelligence** for the card ecosystem. Its API takes raw card authorization strings and links each transaction to a verified merchant identity, including name, category, geolocation, and other attributes, enabling issuers and fintechs to improve fraud models and customer experience.[2][6][9]

How much did Spade raise in its Series A, and who invested?

In December 2023, Spade raised a **$10M Series A** round led by Flourish Ventures, with continued participation from Andreessen Horowitz (a16z), Gradient Ventures, Y Combinator, Dash Fund, and Everywhere Ventures (The Fund).[2][3][5][11][12] The capital was intended to grow the team, further develop merchant intelligence products, and support international expansion outside the US.[2][6][11]

What was Spade raising money for in this Series A round?

According to funding announcements, Spade’s Series A funds were allocated to doubling headcount, continuing technology and product development, and expanding its real-time merchant intelligence services internationally beyond the US, with a focus on serving banks, card issuers, and fintechs.[2][6][11]

What is special about Spade’s Series A pitch deck?

The publicly shared deck is a **13‑slide Series A pitch deck from 2023** that Business Insider reported was used to raise Spade’s $10M round.[1] While the full slide text isn’t available here, the accompanying coverage notes that the deck leans heavily on technical benchmarks and customer logos to validate Spade’s role in the modern fintech stack.[1]

What happened to Spade after this Series A deck and round?

Later reporting indicates that after the 2023 Series A, Spade went on to raise a **$40M Series B** round announced in April 2026, led by Oak HC/FT with participation from Andreessen Horowitz, Flourish, Gradient, NAventures, and Y Combinator, bringing total funding to about $56.1M.[9][10] These subsequent rounds occurred after the Series A deck and reflect later-stage growth and strategy rather than the claims made at the time of the deck.