Investor Deck · 2024
Automate the
boring work.
Guillermo de Olmo
Co-founder
Alex Marimon
Co-founder
Barcelona · vendian.ai
The Problem
Every team wastes hours
on work that should run itself.
on work that should run itself.
01
Tools exist — but they break.
02
Ops teams aren't developers.
03
Failed automations cost more than manual work.
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Our Customer
Head of Marketing Ops · B2B SaaS
Meet Sara.
Her daily tools
HubSpot, Notion, Slack, Google Sheets
Company size
20–200 employees
Tech level
Digitally fluent — not a developer
Tried before
Zapier (breaks every week) · n8n (needs a developer)
"I need lead routing to just work. I don't have time to fix a broken Zap every week."
— Sara, Marketing Ops
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The Solution
01 — Describe
Plain language.
Create workflows in everyday language. No builder, no code, no setup.
02 — Go Live
Instant execution.
Your automation starts working immediately. If something fails, it retries automatically.
03 — Connect
Your existing tools.
Works across HubSpot, Slack, Gmail, Notion, and more — no new stack needed.
04 — Monitor
Full visibility.
See every run, every result, every error — in one dashboard.
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How It Works
As easy as texting
a friend.
a friend.
invoice tracking
customer support agent
lead warming
crm enrichment
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Market Validation
$27.9B
11–14% CAGR
Global Workflow Automation (2026)
Source: Fortune Business Insights
$5.3B
~35% of global spend
SMB / Mid-Market, US + UK + EU
Source: IndustryResearch.biz, Mordor Intelligence
~14,000
ICP-Qualified Companies in Beachhead
B2B SaaS + B2B Agencies, 20–200 employees
Source: IBISWorld · Ascendix · Eurostat · SBA
SMB automation growing 2–3 points faster than overall market. Vendian targets the beachhead.
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Market Sizing
TAM
$5.3B
SMB/mid-market workflow automation spend,
US + UK + EU (2026)
US + UK + EU (2026)
SAM — Beachhead
~14,000
B2B SaaS + B2B agencies, 20–200 emp,
with MOps/RevOps function
with MOps/RevOps function
~$10.9M/yr revenue potential
at blended $780/yr ARPU
SOM — Year 3
$813K
Vendian Year 3 ARR target
1,045 customers
~$67.7K MRR
7.5% of beachhead SAM
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The Product
Plain-language input. Reviewable plans.
Your tools. Production reliability.
Your tools. Production reliability.
Describe once
Runs forever
Runs forever
Auto-retry
on failure
on failure
700+
native integrations
native integrations
Full
observability
observability
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Business Model
Starter
$20/mo
Build credits
60
Run credits
3,000
Growth
$79/mo
Build credits
250
Run credits
12,000
Automating 10 hrs/week of manual work pays for itself vs. hiring.
Scale
$249/mo
Build credits
900
Run credits
39,000
Usage scales with value. RUN credits are spent each time an agent executes.
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Growth Strategy
Phase 1 — Founder-Led
Phase 2 — Scaled Channels
01
Founder outbound
LinkedIn DMs, warm intros, targeted email to ICP accounts.
03
Product Hunt + community launch
Once activation is proven and first case studies exist.
02
Content engine
Weekly blog, founder LinkedIn, use-case posts. Builds trust and inbound pipeline.
04
Paid acquisition + UGC
LinkedIn ads, influencer demos, short-form video. Funded by early revenue.
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Competition
Zapier / Make
Dominant in visual builders. Pivoting away would mean rebuilding their entire product.
n8n
Open-source, developer-first. Not targeting the business-team audience we serve.
Custom Dev
Always an option — but requires engineering headcount most ops teams don't have.
AI Agent Frameworks
LangChain, CrewAI — developer tools producing non-deterministic agents. Not designed for ops teams who need reliability.
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Built different
Claude Code / Codex
Agent Frameworks
Vendian
What AI produces
Code
An agent that reasons every run
Containerized production systems
Runtime
Deterministic (if code is good)
Non-deterministic — drifts every run
Deterministic, replayable execution
Who runs it
You. Deploy, scale, monitor.
You. Agent config, prompts, observability.
Vendian runtime — auth, scaling, orchestration, file storage
Who it's for
Software engineers
AI / platform engineers
Marketing Ops & RevOps
Agents drift.
Operations can't.
Operations can't.
We turn natural language into
production systems that run deterministically.
production systems that run deterministically.
Vendian fully supports Anthropic AI SDK and all major AI SDKs — agentic loops are available when needed.
Most automations don't need agents. This isn't about abusing expensive models for simple tasks.
Most automations don't need agents. This isn't about abusing expensive models for simple tasks.
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Under the Hood
01
Code generation
A K8s pod runs our agentic builder system. It generates real Python code using our public SDK — not prompts, not YAML.
02
Containerization
The builder packages the code into a container image. Once built, the image can be deployed on demand by the user.
03
Vendian Runtime
Container deployments, scaling, RAM management, auth orchestration, S3 artifact storage — all managed by Vendian. The user never touches infra.
Public Python SDK
Integration abstractions — Google Drive, Slack, Gmail, and more
Auth system fully managed by backend — securely stored
AI tools included — agentic loops fully supported when needed
Steps with independent retries (low-poly Temporal)
Private Runtime SDK
Connects generated code to backend services
Artifact saving & S3 storage
Execution logs, observability, replay
Container lifecycle management
Code-generation → Packaging → Deterministic execution. That's the moat.
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Roadmap
Now · Q2 2026
Validate
Self-sustained with agency revenue
5 customers, €300 MRR
Builder chat, visual plan review, managed execution
700+ integrations via Nango
Team: Guille + Alex
€300 MRR
Next · Q3–Q4 2026
Grow
Tranche 1 — first investment after minimal product validation
10 → 38 customers
Voice input, UX improvements
Deeper GTM use cases
+ Product/UX hire, AI-tooling profile (post-T2 gate)
€600 → €2.3K MRR
Future · 2027
Scale
140 → 400 customers
Workflow template library
Operator observability tooling
+ Second product engineer (revenue-contingent)
€8.4K → €24K MRR
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The Ask
Staged Two-Tranche Model
€250–450K
Tranche 1: €100–150K at close → validation
Tranche 2: €150–300K on €2K MRR milestone
Base case: €300K total
Tranche 2: €150–300K on €2K MRR milestone
Base case: €300K total
21 months to breakeven (March 2028)
Bootstrap-viable: capital makes it faster, not possible.
Bootstrap-viable: capital makes it faster, not possible.
Tranche 1 — Validation
Founders full-time (€4K/mo × 2)
Infrastructure + tooling
Organic marketing (content, LinkedIn, SEO)
Tranche 2 — Scale (unlocked at €2K MRR)
First product/UX hire (AI-tooling profile)
Paid acquisition tests (LinkedIn, outbound tooling)
Infrastructure scaling with customer growth
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Financials
M1
Product launch, 10 customers, €600 MRR
M6
38 customers, €2.3K MRR, team of 3
M12
140 customers, €8.4K MRR, €100K ARR
M18
400 customers, €24K MRR, €288K ARR
M21
700+ customers, €45K+ MRR, cash-flow positive
Model Assumptions
Runway
24 months
Early growth (MoM)
36%
Mid growth (MoM)
25%
Monthly churn
6%
ARPU
€60
Staged funding scenarios: Bootstrap (€120K) / Base (€300K) / Full (€450K)
See detailed scenario comparison in appendix.
See detailed scenario comparison in appendix.
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The Team
Co-Founder
Guillermo de Olmo
Entrepreneurship Degree
EtherMail scaleup — built Sales & RevOps from scratch
Raised $8M, grew team 7 → 45
Presents: market, GTM, customers, financials
Co-Founder
Alex Marimon
Business Degree + Data Science MSc · ESADE
Built 2 full working AI products
Built all of Vendian's software
Presents: product demo, architecture, technical roadmap
Together
$70K+
AI agency revenue, year 1
5+
B2B clients across 5 industries
INCIBE
Emprende × Wayra cohort · Barcelona 2026
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The Vision
The future of business
automation is conversational.