Sylvi

Language learning app all in on conversation

As founders, there are two things we know all founders hate:

  1. Raising money (that’s ofc why we built quick pitch!)

  2. Taxes

Thankfully, the guys at Syntax are using AI to mean you never need to worry if your accountant has done the tax bit wrong.

Because let’s face it, no one is ever 100% on their tax return.

We registered for early access as soon as they asked for a feature on quick pitch because who doesn’t want that peace of mind…

Syntax are giving quick pitch readers fastpass to the front of the early access waitlist and a 25% discount on first-year subscription fees.

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Meet the founder

  • Founder (technical) and CEO, Tom Standen: Ex UCLA and Manchester University (MSc Physics). Ex IBM and McKinsey & Co.

The Market

  • The language learning market is both large and in high growth and because of this it’s crowded but users are still tired of the lack of progress using popular apps.

This startup is solving one key problem:

  • Language learners find that despite months or years of engagement with popular apps, they still struggle with real-world conversation.

  • "I've got over a 2000 day streak on Duolingo, and it's been really useful at keeping my French up for five years, but I don't feel confident with conversations or speaking." Extract from customer survey.

Founder-market fit:

Tom's partner had a 600-day streak on Duolingo, but still couldn't actually speak during their trip to Paris. So, Tom built her a French AI penpal to practice conversation with and solve her problem. Her improvement inspired him to scale the solution, building Sylvi's tech from scratch to £50k ARR in just 12 months.

Sylvi is a language learning app focusing on conversation, built for both AI and social messaging.

We get a tonne of applications from founders who want to be featured but either don’t quite make it.

We also speak to lots who want to to meet our network but don’t want to be public about their fundraising.

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Quickfire

Headquarters

London

Employee count

3

Business model

Subscription

Backed by 

Angels x6

Actively pursuing partnerships with strategic investors. Advanced discussions underway with backers connected to Steven Bartlett, The Sidemen, and Khaby Lame.

Funding amount

£100,000 committed

Raising £350,000

Traction Metrics: 

  • Launched paid subscriptions on the app stores in July-24, now with:

    • >1k subscribers

    • >£50k ARR

    • >30% MoM MRR growth

    • 4.7/5 rating on the App Store, >200 reviews globally

  • Creator-led marketing established as a key customer acquisition strategy. Highlight: Julia - @thepeliroja_

    • Views: 5.5m

    • Installs: 21.8k

    • CPI: £1.84

Traction Slide from Sylvi’s deck (MRR & cash)

Competition

Competitor types:

  • AI conversational tools (e.g. Praktika, Jumpspeak)

    • Sylvi provides more than just AI practice - practice with humans too

  • Language exchange apps (e.g. HelloTalk, Tandem)

    • Sylvi lifts the barriers on traditional language partners - practice with anyone regardless of language and proficiency

  • Popular existing apps (e.g. Duolingo, Memrise):

    • Sylvi serves a different market - intermediate and advanced learners looking for conversational practice, compared to beginners seeking low effort education and vocab expansion

Our take

APPEALS

  • LTV > CAC: Proves the demand for Sylvi’s solution with strong retention and cost-effective user acquisition, largely through creator-led marketing

  • Community led: 3,000+ on Sylvi’s WhatsApp community creates loyal brand advocates and a direct channel for user feedback, ensuring development efforts are spent on features users actually want.

  • Strong defensibility: Sylvi is the only language learning app built for both AI and social messaging. Network effects grow as the user base expands, and platform familiarity and social connections create significant switching costs.

RISKS

  • Development timeline: New hires post-funding may temporarily slow product rollout. Mitigating with clear goals and feature prioritisation.

  • AI quality for non-Latin scripts: Current AI technology is less advanced for complex languages like Mandarin and Japanese. Addressing through native speaker testing and optimising of existing LLM capabilities.

  • Marketing channel risk: Marketing channel risk: Reliance on few platforms (Meta/Tiktok) makes Sylvi vulnerable to customer acquisition cost fluctuations.

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Let the people decide

How likely will Sylvi succeed?

Tell us WHY in the comments

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Last feature’s results

  • The people have spoken: Our readers are undecided on Facture Vote in the poll above to see how your decision stacks up against thousands of founders, investors and operators.

  • Here’s what you guys had to say: More a personal interest investment”

Written by Seb & Luke