Who is Switchboard Designed For?

Switchboard is a modular, real-time audio SDK and orchestration layer built to empower developers who are pushing the boundaries of audio, AI, and real-time media experiences. Whether you're building interactive voice agents, voice changers, or collaborative music platforms, Switchboard provides the foundation for rapid prototyping and production deployment.

Here's a breakdown of the core audiences who will benefit most:

Switchboard by Persona

Persona

Description

Superpowers

Product Prototyper / Innovation Lead

Responsible for building POCs that could become flagship features

Drag-and-drop modularity, quick turnarounds for demos, cloud/on-device/hybrid flexibility

Applied ML Scientist (Speech/Audio)

Iterates on speech pipelines for accuracy, latency, and robustness

Swap STT/TTS/VAD models with minimal friction, benchmark custom models

Audio R&D Engineer

Builds and tests custom DSP/ML models, audio effects, and signal chains

Bring-your-own-node support, C++ + ONNX graph integration, real-time test harness

Tools/Platform Engineer

Maintains internal SDKs, tooling, or reusable audio frameworks

Embeddable runtime, language bindings, testable graphs, easy packaging

Creative Technologist

Works in innovation labs to craft new audio-driven experiences

Modular effects, voice filters, real-time pipelines for interactive UX

Switchboard by Segment

Segment

Why They Experiment a Lot

Example Personas

Example Companies

Voice AI Startups

Need to prototype new pipelines quickly, test models, mix & match STT/LLM/TTS

Founders, CTOs, ML Engineers

ElevenLabs, Vapi, Pipecat, Inworld, Play.ht, Resemble.ai, Syntesia, Rime.ai

Media & Entertainment R&D Labs

Interactive music/video, watch parties, creator tools

Innovation Labs, Creative Technologists

Spotify R&D, Netflix Device Labs, Dolby.io, Adobe Research, BBC R&D, Canal+ Labs

Academic / Research Labs

Constantly mixing models, publishing prototypes

PhD Students, Lab Directors, Postdocs

MIT Media Lab, University AI labs, Fraunhofer IIS, INRIA, CMU, NYU MARL

Automotive & Mobility

In-car voice assistants, rider comms, low-latency audio pipelines

HMI Engineers, Audio Architects, UX Researchers

Mercedes MBUX team, Harley-Davidson Digital, Rivian, Tesla Voice UX, Hyundai Mobis

Robotics & Assistive Tech

Speech pipelines for human-robot interaction, adaptive audio UX

Robotics AI Engineers, Accessibility Tech Leads

Figure AI, Sanctuary AI, SoundHound, Intuition Robotics, Furhat Robotics, Toyota Research Institute

Hardware & Embedded Audio Companies

Need to validate DSP/ML models across chipsets and devices

Firmware Engineers, DSP Engineers, Product R&D Leads

Bose, Sonos, Nothing OS, Qualcomm, Apple Audio Systems, Shure Labs

Gaming & Metaverse Studios

Real-time multiplayer chat, spatial audio, voice changers, AI NPCs

Audio Directors, Game AI Engineers, Tools Developers

Riot Games R&D, Roblox, Rec Room, VRChat, small indie VR studios, Spatial.io

Telecom & Collaboration Platforms

Competing on latency, voice quality, noise suppression, agent assist

Product Managers, VoIP Engineers

Zoom Labs, Discord, Twilio Voice, Dialpad, RingCentral, Slack Huddles, Around.co

🛈 Example companies are listed for illustrative purposes only. They represent the kinds of teams who typically face the problems Switchboard is designed to solve.

1. Voice AI Startups

These teams are building novel products where voice is the interface. From AI agents to voice games, they often need:

  • Real-time speech-to-text (STT), text-to-speech (TTS), VAD, diarization

  • Voice changers, filters, audio effects

  • Integration with LLMs and custom AI pipelines

Why Switchboard?

  • Rapidly experiment with audio pipelines

  • Combine WebRTC + AI tools in low-latency flows

  • Deploy on-device, hybrid, or cloud-first

Use cases: Prototype new workflows, talking AI avatars, autonomous agents with voice I/O.

2. Media & Entertainment R&D Labs

Building apps that combine audio, video, or real-time interaction? Whether you're using Unity, Unreal, React Native, or Web, Switchboard simplifies the audio stack:

  • Bring-your-own-media-player and VoIP modules

  • Add spatial audio, DSP, voice filters

  • Trigger effects from in-app events (e.g. game actions)

Why Switchboard?

  • Quick audio UX iteration for social, gaming, education, or media

  • Drag-and-drop pipeline editor (coming soon)

  • Cross-platform SDK: C++, Swift, Kotlin, JavaScript

Use cases: Music remix apps, multiplayer games with voice, metaverse and watch party apps, language learning tools.

3. Academic / Research Labs

For those developing new DSP algorithms, ML audio models, or conducting audio research:

  • Easily wrap your custom models into Switchboard nodes

  • Real-time graphs to test processing at frame-level granularity

  • Integrate ONNX models, WASM, or native C++

Why Switchboard?

  • Focus on your DSP/ML innovation, not boilerplate

  • Shareable graphs make it easy to test & collaborate

  • Optional GUI for audio pipeline inspection

Use cases: Novel vocoders, speech denoisers, voice conversion, academic research.

4. Automotive & Mobility

If you're building speech-enabled user experiences in vehicles, from infotainment to intercom:

  • Low-latency pipelines for wake-word detection, STT, feedback tones

  • On-device processing for privacy and speed

  • Modular voice UX components

Why Switchboard?

  • Configure real-time speech graphs per vehicle

  • Test cross-chip performance

  • Improve rider communication and in-cabin experiences

Use cases: Voice commands in cars, intercom between riders, contextual feedback tones.

5. Robotics & Assistive Tech

Switchboard supports real-time audio intelligence for robots and accessibility solutions:

  • Adaptable pipelines for human-robot speech interaction

  • Latency-sensitive assistive feedback (e.g., voice navigation)

  • Custom models for emotion, intent, or audio scene understanding

Why Switchboard?

  • Graphs are easy to deploy, modify, and tune

  • Supports real-time interactivity in physical environments

  • Works with embedded Linux and edge accelerators

Use cases: Robot speech UX, voice-controlled wheelchairs, adaptive accessibility tools.

6. Hardware & Embedded Audio Companies

For companies building hardware that includes microphones or speakers (headphones, cameras, robots, cars, etc.), Switchboard offers:

  • Lightweight, embeddable audio graph runtime

  • Low memory, real-time execution on ARM, NPUs, or embedded Linux

  • Control audio graphs remotely or locally

Why Switchboard?

  • Ship audio intelligence to the edge

  • Use modular graphs to configure audio UX

  • Future-proof audio stack for multi-modal systems

Use cases: Smart glasses, humanoid robots, automotive voice UX, musical instruments.

7. Gaming & Metaverse Studios

Real-time experiences need real-time audio features:

  • Multiplayer voice chat, spatial audio

  • Voice changers, remix effects, AI-driven NPC speech

  • Integration with game engines like Unity or Unreal

Why Switchboard?

  • Native SDKs for multiple platforms

  • Mix and match pipelines in live environments

  • Great for fast experimentation and event-driven audio

Use cases: VR/AR social hubs, modifiable voice-based gameplay, live creator tools.

8. Telecom & Collaboration Platforms

VoIP products live and die by voice quality and responsiveness:

  • Agent-assist, transcription, sentiment detection

  • Noise suppression, echo cancellation, diarization

  • Fast integrations with internal call stacks

Why Switchboard?

  • Combine AI pipelines with WebRTC

  • Rapid testing of voice UX variations

  • Cross-platform support for mobile, desktop, browser

Use cases: Sales enablement tools, smart meetings, audio-first chat platforms.

In Summary

Switchboard is not for teams building static apps with basic audio playback.

It is for:

  • Teams who experiment constantly with real-time audio features

  • Builders who need modularity, latency control, and deployment flexibility

  • Developers shipping next-gen voice+AI+media experiences

If you're building with audio in the loop—Switchboard is your graph.

Explore more: switchboard.audio