Whispp

๐Ÿ“‚ Artificial Intelligence๐Ÿ“‚ Healthtech๐Ÿ“‚ Software Enterprise๐Ÿ“ Leiden๐Ÿ—“๏ธ Founded: 2020

Whispp converts whispers or impaired speech into clear, natural voice while preserving speaker identity and accent directly on-device.

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Podcast Episode

๐ŸŽ™๏ธ Deep Dive

Proxima Fusion, HIVE, Whispp โ€” record fusion round, autonomous machines and reconstructed voice โ€” Daily News July 7, 2026

Listen to the episode

About Whispp

Whispp is a Leiden-based AI startup founded in 2020 by Joris Castermans and Akash Raj Komarlu. The company develops real-time on-device voice reconstruction AI that turns whispered or impaired speech into clear, natural voice. In July 2026, it raised โ‚ฌ5M in a follow-on investment round led by LUMO Labs and complemented by non-dilutive EIC Accelerator funding. The technology started as assistive tech for people with voice conditions or severe stuttering, but is expanding toward private calls, noisy calls, mobile/PC OEM integration and semiconductor partnerships.

The Story

Whispp began by helping people who lost their voice or stutter severely, before evolving into a broader streaming voice AI platform.

How Whispp works

Business Model

B2B/B2C voice AI with mobile app, desktop app, Android/Windows SDKs, API and OEM partnerships.

Revenue Model

Subscription/app, SDK/API licensing, OEM partnerships and potential hardware/software manufacturer agreements.

Products & Services

Key Products

  • Mobile app
  • Desktop app
  • Android SDK
  • Windows SDK
  • Voice reconstruction API

Core Use Cases

  • Accessible calls for people with voice conditions
  • Private whispered calls
  • Noisy environment calls
  • OEM voice integration
  • Conferencing and virtual microphone use

Market & Clients

Key Customers

People with voice conditions, consumers seeking private/noisy-call use cases, mobile and PC OEMs, semiconductor companies and telephony/communication platforms.

Geographic Presence

NL

How Whispp competes

Competitors

Speech enhancement providersVoice AI companiesAssistive communication technologiesNoise suppression platforms

Competitive Advantages

  • Real-time on-device processing
  • Language-independent technology
  • Preserved speaker identity and accent
  • Sub-100ms latency claimed on official site
  • Assistive-tech origin with broader OEM potential

How Whispp grows

Growth Strategy

Advance AI models, develop additional IP/patents, launch new products and expand partnerships with global device manufacturers and semiconductor companies.

Distribution Model

B2C apps, B2B SDK/API licensing and OEM partnerships.

Moat (Defensibility)

Proprietary voice reconstruction models, patents/IP, on-device optimisation, user voice data expertise and OEM integration capability.

Regulatory Context

Relevant to privacy, voice biometrics, health/assistive technology claims, medical validation if positioned for clinical use, and on-device AI governance.

Key Risks

  • Clinical validation needed for assistive applications
  • OEM sales cycles
  • Privacy and voice data sensitivity
  • Competition from major platform voice stacks
  • Quality variation across languages, accents and devices

Strategic Insights

  • On-device AI is especially relevant when data is sensitive, personal and vocal.
  • A technology born for accessibility can expand into much broader consumer and OEM use cases.
  • Preserving speaker identity creates a different value proposition from simple noise reduction.

Funding & Investors

Funding Rounds

  • 2026 - Follow-on investment round: โ‚ฌ5M
    Lead: LUMO Labs
  • 2026 - EIC Accelerator grant: โ‚ฌ2.5M grant + equity commitment
    Lead: European Innovation Council Accelerator
  • 2024 - Seed: โ‚ฌ750k
    Lead: LUMO Labs

Key Investors

LUMO LabsEuropean Innovation Council AcceleratorStrategic angel investors

Founding Team

Founders

Joris CastermansFounder & CEO
Akash Raj KomarluCo-founder

Key Executives

  • Joris Castermans - Founder & CEO
  • Roland Vlaicu - Chief Product Officer
  • Mahesh Sundaram - Chief Revenue Officer

Key Metrics

Follow-on investment roundโ‚ฌ5M (2026)
EIC Accelerator grantโ‚ฌ2.5M (2026)
LatencyBelow 100 ms (2026)

Lessons from Whispp

  • Starting from an intense human need can generate technology with larger adjacent markets.
  • On-device and privacy-by-design can be strong commercial differentiators.
  • In voice AI, naturalness, latency and OEM integration matter more than isolated demos.

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Sources

๐ŸŽ™๏ธ Scalable Podcast โ€” European startup stories ยท ๐Ÿ‡ฎ๐Ÿ‡น in Italian
Spotify ๐ŸŽง Apple