Requesty Raises $3M to Become the “Cloudflare for AI”

Author: Viktor

Pitch Deck & Fundraising Consultant. Ex Advertising. Founder of Viktori. $500mill In Funding. Bald Since 2010.

London-based Requesty just raised $3 million seed funding (led by 20VC) to fix the absolute chaos of enterprise AI adoption.

Because let’s be real: right now, AI inside most companies looks like a spaghetti bowl of API keys, surprise cloud bills, and massive security blind spots. Developers are shipping fast, but infra leaders are sweating bullets.

Requesty’s solution? An LLM gateway — a control plane that sits between your developers and the models, acting like an intelligent traffic cop.

Think of it as Cloudflare, but for LLMs: routing, caching, securing, and optimizing every single API call.

Why This Pitch Worked

  • Big pain point: Uncontrolled API sprawl, security gaps, unpredictable costs.

  • Clear analogy: Calling themselves “Cloudflare for AI” gave investors instant mental context.

  • Proof: Already serving 25,000+ developers and pulling in $1.5M ARR.

  • Smart features: Prompt caching that cuts latency and saves customers up to 40%.

My 2 Cents

The brilliance here is framing. Nobody wants to buy “an API management tool for AI.” But say “We’re the Cloudflare for AI” and suddenly everyone gets it.

Also, $1.5M ARR at seed? That’s catnip. Investors don’t need to imagine demand — it’s already there.

And honestly, in a world where enterprises are duct-taping LLMs into production, Requesty’s pitch basically boils down to: “We’ll keep your AI from blowing up.” That’s the kind of inevitability investors love.

Hypothetical Deck Blueprint 

Slide 1: Elevator Pitch

Content:

  • Headline: “The Cloudflare for AI.”

  • Subline: Secure, optimize, and control your LLM traffic.

  • Visual: AI requests flowing through a gateway box labeled Requesty → clean, optimized outputs.

Investor Lens:
The analogy (“Cloudflare for AI”) does 90% of the selling. It’s instantly recognizable.

My 2 Cents:
This is framing genius. Nobody wants “an API manager.” Everyone wants the Cloudflare of something.

Slide 2: The Problem

Content:

  • Developers leave jobs, but their API keys keep working.

  • AI model providers have outages that ripple into customer apps.

  • Costs balloon as usage grows unchecked.

  • Security blind spots = compliance nightmares.

Investor Lens:
This problem is visceral for any enterprise adopting AI — uncontrolled sprawl, risk, and runaway costs.

My 2 Cents:
Sometimes the best pitch is just reading out loud what keeps CTOs awake at night.

Slide 3: The Market

Content:

  • Enterprise AI adoption projected at $150B+ by 2030.

  • Every deployment will need a governance/control layer.

  • Requesty = “picks and shovels” of the AI boom.

Investor Lens:
Market feels both huge and inevitable. Every AI-first org will need this infra.

My 2 Cents:
Investors love “picks and shovels” plays. This isn’t a bet on one model or trend — it’s the rails everyone rides on.

Slide 4: The Solution

Content:

  • Unified LLM Gateway that handles:

    • Centralized access management.

    • Spend limits + policies.

    • Real-time routing across providers.

    • Prompt caching (cuts latency + up to 40% in costs).

Investor Lens:
Practical, elegant, and sticky. The caching feature alone is a money-saver story that sells to CFOs.

My 2 Cents:
This is where Requesty shines. Don’t just say “we control.” Say “we save you money.” Nothing beats cost savings in an enterprise pitch.

Slide 5: Proof & Traction

Content:

  • 25,000+ developers onboarded.

  • Already hitting $1.5M ARR at seed stage.

  • Pivoted from data analytics to infra → rapid adoption = validation.

Investor Lens:
ARR this early is unusual. It signals immediate product-market fit.

My 2 Cents:
Revenue at seed is like catnip. It means investors aren’t just buying a dream — they’re buying growth that’s already happening.

Slide 6: Business Model

Content:

  • SaaS subscriptions (developer → enterprise tiers).

  • Usage-based pricing tied to API traffic.

  • Compliance/security add-ons for regulated industries.

Investor Lens:
Recurring SaaS revenue + usage upside = classic infra goldmine.

My 2 Cents:
This is “SaaS with usage kicker.” The holy grail of business models.

Slide 7: Team

Content:

  • Founders: Thibault Jaigu & Daniel Trugman.

  • Track record in product + engineering.

  • Proven ability to pivot (from analytics to infra).

Investor Lens:
Shows grit and adaptability. Investors back founders who can course-correct fast.

My 2 Cents:
The pivot story here isn’t a weakness. It’s the proof that they listened to the market.

Slide 8: The Ask

Content:

  • Raise: $3M seed.

  • Use of Funds:

    • 40% infra scaling.

    • 30% enterprise go-to-market.

    • 20% product (new integrations, compliance).

    • 10% ops.

  • Milestones: scale ARR to $5M+, expand enterprise penetration, cement “default AI gateway” positioning.

Investor Lens:
Clear, milestone-tied, capital-efficient. Investors see the path from seed → Series A.

My 2 Cents:
Keep the close short. “Give us $3M, we’ll be the Cloudflare for AI.” That’s all the persuasion you need.

Summary:
Requesty’s deck sells itself on three points:

  1. AI adoption is exploding → chaos is inevitable.

  2. Their gateway turns chaos into control (and cost savings).

  3. ARR traction proves it’s already happening.

That’s why $3M came in easy.

Lessons for Founders

  1. Steal a metaphor. “Cloudflare for AI” was half the battle won. Investors love a familiar frame.

  2. Show inevitability. As AI adoption scales, so do chaos and costs. This isn’t optional infra — it’s survival.

  3. ARR > promises. $1.5M ARR pre-seed tells investors this is already a train in motion.

Closing Thought

Requesty didn’t raise $3M by being flashy. They raised by saying: “Enterprise AI is breaking. We’re the duct tape that keeps it running.”

And sometimes, duct tape is a billion-dollar business.

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