What is the core value proposition of Altan based on the deck?

Altan proposes a shift from manual coding to autonomous software generation. By using specialized AI agents—Genesis for planning, Database for backend, Flow for logic, and Interface for frontend—the platform aims to build functional applications like restaurant management systems or fitness apps from high-level prompts, as visualized in Slide 7.

Does the deck provide any traction metrics or user numbers?

No. The 16-slide deck, as presented, contains zero metrics, user counts, or revenue figures. It functions primarily as a vision and product-concept deck, which is common for pre-seed rounds where the technology's potential and the team's pedigree are the primary selling points.

How does Altan differentiate its AI agents?

The deck identifies four specific roles: Genesis (project management/planning), Flow (workflow logic), Database (data structure), and Interface (visual design). Slide 6 also shows a 'New Agent' being added to a project, suggesting the system is modular and can spawn new specialized entities as needed.

What information is missing from the team slide?

While Slide 8 lists the CEO and CTO and their university affiliations, it lacks specific details on their previous companies or specific roles. It mentions they are 'Previous founders' but does not name the ventures or the outcomes of those startups.

Is there a clear 'Ask' or use of funds in the deck?

The provided slides do not include an 'Ask' slide. While Business Insider reports a $2.5M raise, the deck itself does not specify the amount being sought, the valuation, or how the capital will be allocated across engineering, marketing, or operations.

Altan Pitch Deck: All 16 Slides + Teardown

See all 16 slides of the Altan pitch deck — a 2024 Pre seed deck — with a slide-by-slide teardown of what the deck does well and where it falls short.

Altan's 16-slide deck is a masterclass in visual storytelling for the 'AI Agent' era, though it leans heavily on aesthetics over hard data. The Spanish startup, which raised $2.5M in 2024 as reported by Business Insider, uses a dark-mode, high-fidelity design to illustrate how autonomous agents—named Genesis, Flow, Database, and Interface—collaborate to build custom software. The deck eschews traditional slides like market sizing, competitive landscapes, and financial projections in favor of a step-by-step product walkthrough. While this approach successfully communicates the 'magic' of their…

Key takeaways

The deck utilizes a minimalist 'dark mode' aesthetic with high-fidelity UI mockups to demonstrate product capabilities (Slides 1-8).
Altan categorizes its AI functionality into four distinct agent types: Genesis, Flow, Database, and Interface (Slide 1).
The product narrative is structured around a three-step process: 'How it works', 'Plans it', and 'Builds it' (Slides 2-4).
A 'New agent is born' visualization suggests a dynamic, expandable ecosystem of autonomous workers (Slide 6).
The team slide emphasizes academic credentials from the University of Cambridge and Boston College (Slide 8).
The founders highlight their status as 'Previous founders' to mitigate early-stage execution risk (Slide 8).
There is a total absence of market size (TAM/SAM/SOM) or competitive analysis slides in the provided materials.
The deck contains no financial data, pricing models, or specific 'Ask' regarding the $2.5M raise reported by Business Insider.

The Visual Narrative of Autonomous Coding

Altan’s pitch deck is a striking example of the 'show, don't tell' philosophy. In an industry—AI coding—that is becoming increasingly crowded, Altan chose to lead with a high-fidelity vision of the future. According to publisher reports, this Spanish startup raised $2.5M in a 2024 pre-seed round. The deck they used is less of a business plan and more of a product manifesto. It focuses on the interaction between 'agents' and the resulting software, banking on the investor's ability to see the massive market potential without needing a dedicated TAM slide.

Slide 1: The Agent Ecosystem

The title slide introduces the brand and its four primary pillars: Genesis , Flow , Database , and Interface . Each is represented by a distinct, glowing icon. This immediately frames Altan not just as a 'chatbot that writes code,' but as a multi-agent system. By naming these components, the company creates a proprietary language for its technology stack, making the abstract concept of 'AI coding' feel like a tangible suite of tools.

Slides 2-4: The Process Framework

These slides are minimalist to the point of being provocative. Slide 2 simply says 'How it works' . Slide 3 states 'Altan Plans it' , and Slide 4 concludes with 'Builds it' . This three-part structure is designed to address the biggest skepticism in AI software generation: can it actually handle the planning phase, or does it just spit out disconnected snippets of code? By giving 'Planning' its own beat in the presentation, Altan signals that their agents handle the architectural heavy lifting before a single line of code is written.

Slide 5: The Database Agent in Action

Slide 5 provides the first look at the UI. It shows a 'Database' agent notification stating, 'Database created & connected!' superimposed over a clean, functional table of reservations. The data includes fields like 'Date & Time', 'Customer name', 'Phone number', and 'Status'. This slide is crucial because it demonstrates that the AI isn't just generating a mockup; it is allegedly handling the backend connectivity required for a real-world application. The blue 'Database' tag at the bottom left reinforces which part of the ecosystem is performing the task.

Slide 6: The Genesis of New Agents

This slide introduces the concept of scalability within the agent team. A notification from Genesis reads, 'An new agent was added to the project!' (note: the slide contains a minor grammatical error, 'An new'). A dropdown menu lists the existing agents (Interface, Database, Flow, Genesis) and a highlighted 'New Agent' option. This suggests that the platform is not limited to a fixed set of capabilities but can dynamically 'birth' new agents to handle specific project requirements. This is a high-level technical promise that appeals to the 'Agentic AI' trend currently dominating VC interest.

Slide 7: The Final Product Output

Slide 7 is the 'money shot' of the deck. It displays a complex, high-fidelity fitness application interface titled 'The Power Workout' alongside a 'Restaurant Assistant' widget. The slide shows the various agents contributing to the whole: Database managing guest names, Flow handling text confirmations, and Interface showing a progress bar at '76% completed' . This slide successfully visualizes the end-state: a world where a user provides a prompt and a team of invisible agents builds a professional-grade, multi-platform application.

Slide 8: The Team Pedigree

The final slide in the provided sequence introduces the founders. Albert Salgueda (CEO) and Tristan Pou (CTO) are presented alongside the logos of the University of Cambridge , Boston College , and Universitat Pompeu Fabra Barcelona . The text '& Previous founders' is used to establish credibility. At the pre-seed stage, investors are primarily buying into the team's ability to execute on a complex technical vision. By highlighting elite academic institutions and past entrepreneurial experience, Altan attempts to de-risk the investment.

What Altan’s Deck Does Well

The primary strength of this deck is its visual consistency and branding . In the AI space, where many startups look like generic wrappers for OpenAI, Altan has built a distinct visual identity. The use of dark mode, glassmorphism, and vibrant accent colors makes the product feel 'premium' and 'next-generation'.

Furthermore, the modular explanation of AI is highly effective. Instead of promising a 'magic box' that does everything, they break the software development lifecycle into logical components (Database, Flow, Interface). This makes the technical challenge seem more manageable and the solution more robust. It allows an investor to understand the 'workforce' analogy—that they are funding a digital factory rather than just a tool.

What is Missing from the Altan Deck

While the deck is visually stunning, it is analytically hollow. The following elements are completely missing from the 16-slide sequence:

Market Sizing (TAM/SAM/SOM): There is no mention of how large the custom software market is or what portion Altan intends to capture. · Competitive Landscape: The deck does not acknowledge other players in the AI coding space (e.g., Devin, Anysphere/Cursor, or Replit). Failing to differentiate from these well-funded competitors is a significant omission. · Business Model: It is unclear if Altan is a SaaS platform, a per-project fee service, or an enterprise solution. There is no mention of pricing. · Traction and Roadmap: There are no dates, no mention of a beta waitlist, and no milestones for what the $2.5M will achieve. · The Ask: The deck concludes without a slide stating how much money is being raised or what the valuation expectations are.

Lessons for Founders

Founders can learn two conflicting lessons from Altan. First, design matters . A high-quality deck can signal a high-quality product. If you are building a tool that creates 'Interface', your own interface (the deck) must be flawless. Altan uses their deck to prove they have good taste, which is a proxy for product-market fit in the developer tools space.

Second, pedigree can replace data at the Pre-Seed level . If you have degrees from Cambridge and have founded companies before, you can get away with a 'vision deck' that lacks a spreadsheet. However, for founders without that specific background, omitting the market and competition slides is a dangerous gamble. Most investors will require the 'boring' slides to understand the floor of the investment, even if the 'exciting' slides show the ceiling.

Ultimately, Altan’s deck is a specialized tool for a specific moment in the AI hype cycle. It leans into the 'Autonomous Agent' narrative perfectly, using a sleek aesthetic to bridge the gap between a bold technical claim and a realized product.

Frequently asked questions

What is the core value proposition of Altan based on the deck?: Altan proposes a shift from manual coding to autonomous software generation. By using specialized AI agents—Genesis for planning, Database for backend, Flow for logic, and Interface for frontend—the platform aims to build functional applications like restaurant management systems or fitness apps from high-level prompts, as visualized in Slide 7.
Does the deck provide any traction metrics or user numbers?: No. The 16-slide deck, as presented, contains zero metrics, user counts, or revenue figures. It functions primarily as a vision and product-concept deck, which is common for pre-seed rounds where the technology's potential and the team's pedigree are the primary selling points.
How does Altan differentiate its AI agents?: The deck identifies four specific roles: Genesis (project management/planning), Flow (workflow logic), Database (data structure), and Interface (visual design). Slide 6 also shows a 'New Agent' being added to a project, suggesting the system is modular and can spawn new specialized entities as needed.
What information is missing from the team slide?: While Slide 8 lists the CEO and CTO and their university affiliations, it lacks specific details on their previous companies or specific roles. It mentions they are 'Previous founders' but does not name the ventures or the outcomes of those startups.
Is there a clear 'Ask' or use of funds in the deck?: The provided slides do not include an 'Ask' slide. While Business Insider reports a $2.5M raise, the deck itself does not specify the amount being sought, the valuation, or how the capital will be allocated across engineering, marketing, or operations.

Cover slide of the Altan pitch deck — Pre-seed 2024 — Altan pitch deck, slide 1 (2024)

Altan pitch deck: the facts

Company: Altan
Year: 2024
Stage: Pre-seed
Slides: 16
Sector: Coding, AI
Deck type: Investor Pitch Deck
Outcome: $2.5M raised
Headquarters: Spain

Altan pitch deck PDF

The full Altan 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 Altan pitch deck was used for

This deck is Altan’s 2024 pre‑seed fundraising presentation for its agent‑native AI platform that lets teams of autonomous software agents design, build, and operate applications end‑to‑end.[1][2][3][7] It was used to secure a $2.5M pre‑seed round co‑led by VentureFriends and JME Ventures, with participation from 4Founders Ventures and several angels including ElevenLabs’ Carles Reina.[1][2][3][4][9][12] The deck is described as highly stylized and minimalist, emphasizing Altan’s agentic workflow and product vision over traditional business metrics.[1] It precedes public coverage of the round in September 2025 and reflects the company’s positioning as an “agent‑native” platform rather than a conventional dev‑tool startup.[1][2][3][7]

Business model: Altan provides an agent‑native platform that assembles teams of AI agents to autonomously design, build, and operate full‑stack, production‑ready software applications from initial idea through deployment.[2][3][7][11]

Round: Pre‑seed[1][2][3][4][6][9]
Lead investor: VentureFriends and JME Ventures (co‑leads)[1][2][3][4][9][12]
Investors: VentureFriends[1][2][3][4][9][12], JME Ventures[1][2][3][4][9][12], 4Founders Ventures / 4Founders Capital[2][3][4][8][9], Carles Reina (ElevenLabs)[1][2][3][4][9][12], Pau Suris (Remotely)[2][3][4], Pau Sabria (Remotely)[2][3][4], Albert Armengol (Doctoralia)[2][3][4], David Baratech (Yaba)[2][3][4]
Founded: 2024[14]
Founders: Albert Salgueda[14], Tristán Pou Alerany[14]
Headquarters: Barcelona, Spain[2][3][4][13][14]
Industry: AI‑powered software development / agentic AI platform[2][3][11][14]

Year: 2025 (round announcement and coverage in September 2025).[1][2][3][4][6][9]

Raised: $2.5M pre‑seed round announced September 2025.[1][2][3][4][6][9][12]

Total funding: $2.5M pre‑seed funding reported in 2025; some databases list $2.55M raised in total.[2][3][6][9][14]

Use of funds as presented: Altan stated it would use the funding to expand its seven‑person team, enhance technical capabilities of its agent‑native platform, and scale its user base globally.[1][3]

What happened after the Altan deck

Following the deck, Altan closed a $2.5M pre‑seed round in 2025 and used the capital to expand its team and develop its agent‑native platform for autonomous software creation and operation.[1][2][3][7]

Altan secured a **$2.5M pre‑seed funding round** co‑led by VentureFriends and JME Ventures, with participation from 4Fou
The company publicly introduced its agent‑native platform for end‑to‑end, production‑ready software and began scaling it
Altan expanded its team from an initial seven‑person group using the new funding, according to coverage of the round.[1]

What the Altan deck got right

Differentiated agent‑native product vision. Altan’s core proposition—assembling **teams of AI agents** to autonomously design, build, and operate software—offers a distinctly agent‑native workflow that stands out from typical AI coding assistants or low‑code tools.[2][3][7][11][14] The deck’s focus on this workflow instead of standard metrics signals a strong, differentiated product thesis.
End‑to‑end software automation narrative. The company positions its platform as capable of creating **full‑stack applications** (front‑end, back‑end, databases, workflows, AI agents), which allows the deck to tell a comprehensive story about end‑to‑end automation rather than a narrow feature.[11] This breadth likely makes the pitch more compelling to founders and operators seeking a one‑stop solution.
Strong early investor syndicate. Altan is backed by a credible set of investors—VentureFriends, JME Ventures, 4Founders, and notable angels from ElevenLabs, Remotely, Doctoralia, Yaba, and vLex—reinforcing the deck’s claims about market potential and technical ambition with external validation.[1][2][3][4][8][9][12]
Clear, focused visual storytelling. The deck’s minimalist, stylized design, as described by Business Insider, likely keeps attention on the core concept of agentic workflows and the future of autonomous software, which can help investors quickly grasp the narrative without distraction.[1]
Compelling user‑benefit framing. By emphasizing democratization of software development and enabling non‑technical users to turn ideas into products via text or voice prompts, Altan’s story connects technical capabilities to a broad, understandable user benefit.[2][3][7][11][14] This user‑centric framing strengthens the deck’s appeal beyond purely technical audiences.
Attractive ecosystem and geography positioning. Altan’s identity as a Barcelona‑based startup with global ambitions provides geographic diversification for investors and aligns with growing interest in Southern European AI ecosystems, which can be highlighted positively in the deck.[2][3][4][13][14]

What could have been stronger

Minimal attention to traction and business metrics. Business Insider describes the deck as highly stylized and minimalist, explicitly noting that it focuses on the agentic workflow of software creation rather than traditional business metrics.[1] That implies limited or absent coverage of traction, revenue, pipeline, or detailed go‑to‑market metrics, which many investors consider critical even at pre‑seed.
Limited clarity on monetization and economic model. External articles emphasize the vision of "software that runs itself" and the agent‑native platform but provide little detail on unit economics, pricing models, or margin structure.[2][3][7][11][14] A deck that mirrors this emphasis likely underexplains how Altan will convert usage into sustainable revenue and defend margins against commodity AI tooling.
Competitive positioning may be underdeveloped. Altan operates in an increasingly crowded AI‑developer‑tools and agentic‑AI landscape, yet the public coverage around the deck focuses more on the novelty of agent teams than on direct competitive benchmarks or switching costs versus other AI coding tools.[2][3][11][14] If the deck is similarly product‑centric, investors may feel they lack a structured view of competitors and differentiation.
Risk, reliability, and validation likely under‑explained. Altan’s promise of autonomously designing, building, and operating production software introduces significant technical and reliability risks, but the funding coverage and product materials referenced in relation to the deck do not highlight formal validation (benchmarks, SLAs, or enterprise pilots).[2][3][7][11] A minimalist deck that foregrounds vision over proofs may leave risk and robustness under‑addressed.

How an investor would read this deck

What draws attention

Altan’s positioning as an **agent‑native platform** that assembles teams of AI agents to autonomously build and operate software is differentiated within AI dev‑tools and resonates with the emerging "agentic AI" thesis.[2][3][7][11]
The company is **Barcelona‑based** with global ambitions, giving exposure to a growing Southern European AI ecosystem while still building a product for worldwide software teams.[2][3][4][14]
The $2.5M pre‑seed round co‑led by **VentureFriends** and **JME Ventures**, alongside 4Founders Ventures and well‑known angels, provides early validation from experienced seed investors.[1][2][3][4][9][12]
Altan’s narrative that software can "run itself" via autonomous agents aligns with broader AI productivity and automation tailwinds, potentially creating a large addressable market among non‑technical founders and lean teams.[2][3][7][11][14]

Risks that stand out

Technical risk that fully autonomous agent teams may fail or misconfigure production systems, leading to outages or security incidents, particularly if guardrails and monitoring are immature.[2][3][7][11]
Market risk that agentic AI for software development becomes crowded, with larger incumbents (cloud providers, major dev‑tool vendors) launching competing agent platforms that compress Altan’s differentiation.[2][3][11][14]
Execution risk in educating and acquiring non‑technical founders and operators as primary users, which may require substantial product education, support, and community‑building beyond the capabilities of a small early‑stage team.[2][3][7][11][14]
Data and compliance risk if autonomous agents handle sensitive business data without robust access controls, audit trails, and adherence to sectoral regulations.[2][3][7][11]

Questions this deck invites

How does Altan’s pricing and packaging work today (per project, per seat, usage‑based), and what early data exists on willingness to pay and churn among its initial users?[2][3][11][14]
What specific reliability metrics (uptime, error rates, rollback capabilities) and safeguards does Altan provide when autonomous agents deploy and operate production systems, especially for mission‑critical workloads?[2][3][7][11]
What concrete traction metrics (MAUs, paying customers, ARR, retention) did Altan have at the time of the pre‑seed round, and how have these evolved since the raise?[2][3][6][9][14]
Which competitor categories (AI coding assistants, low‑code/no‑code platforms, other agent platforms) does Altan most frequently displace, and what measurable advantages (speed, cost, quality) does it demonstrate in user case studies?[2][3]
What is Altan’s roadmap for governing, auditing, and securing its agent teams (permissions, data access, compliance), and how does it align with emerging AI safety and enterprise security expectations?[2][3][7][11]

What founders can take from the Altan deck

A highly stylized, minimalist deck can still successfully raise a meaningful pre‑seed round when it clearly communicates a strong, differentiated product vision—in Altan’s case, an agent‑native platform that lets software "run itself."[1][2][3][7]
Emphasizing how a product workflow fundamentally changes software creation (agent teams that design, build, and operate applications end‑to‑end) can be more compelling to early‑stage investors than incremental improvements to existing tools.[1][2][3][7][11]
Positioning within an emerging thesis area—in this case, agentic AI and autonomous software agents—can attract specialized seed investors who are actively looking for category‑defining startups.[1][2][3][4][9][12]
A clear geographic identity (Barcelona‑based with global ambitions) combined with remote‑friendly, digital‑product infrastructure can frame the company as a scalable platform rather than a local services business.[2][3][4][13][14]
Securing a mix of institutional VCs and domain‑relevant angels (e.g., from ElevenLabs, Remotely, Doctoralia, Yaba, vLex) can strengthen perceived credibility across both technology and go‑to‑market dimensions.[2][3][4][9][12]

Altan pitch deck: common questions

What does Altan do?

Altan is an **agent‑native AI platform** that assembles teams of software agents to autonomously design, build, and operate full‑stack applications, from front‑end and back‑end to databases and workflows.[2][3][7][11] The platform targets entrepreneurs, operators, agencies, and freelancers who want to turn ideas into production‑ready digital products without traditional engineering teams.[14]

How much funding has Altan raised and who invested?

Altan raised **$2.5M in a pre‑seed round** announced in September 2025.[1][2][3][4][6][9][12] The round was co‑led by **VentureFriends** and **JME Ventures**, with participation from **4Founders Ventures/4Founders Capital** and angels including **Carles Reina (ElevenLabs)** plus founders of Remotely, Doctoralia, Yaba, and vLex.[1][2][3][4][9][12]

What is special about Altan’s pitch deck?

Coverage of the deck notes that Altan used a **highly stylized, minimalist pitch deck** that focused on its agentic software‑creation workflow rather than traditional business metrics.[1] The deck accompanied the $2.5M pre‑seed raise and is part of Business Insider’s pitch‑deck library.[1][15]

Where is Altan based?

Altan is **headquartered in Barcelona, Spain**.[2][3][4][13][14] Some databases also list a corporate office address in Wilmington, Delaware, USA, but press and company‑profile sources describe it primarily as a Barcelona‑based startup.[2][3][4][8][13][14]

How does Altan’s agentic AI platform work at a high level?

Altan’s platform lets users describe the software they want in text or voice prompts; AI agents then collaborate to generate, integrate, and operate the application, aiming to make software that effectively “runs itself.”[2][3][7][11] The company positions this as democratizing software development and reducing reliance on large engineering teams.[3][14]