# Clearvoice

*/Startups/Clearvoice*

## Startup Overview

This audio processing engine isolates human speech and eliminates ambient background noise from live communication streams. Enterprise contact centers, telehealth platforms, and distributed teams use the system to guarantee clear audio in unpredictable environments, instantly removing disruptive sounds like street traffic, keyboard typing, and background chatter before they reach the listener.

Unlike legacy PBX filters that rely on rudimentary frequency gating or cloud-dependent models like Deepgram that introduce conversational lag, this software executes directly on the live stream with zero latency. The architecture is strictly privacy-preserving, processing audio entirely on-device or within secure enterprise boundaries without ever routing raw voice data to third-party servers.

Where consumer-grade tools like Krisp require individual desktop installations and user-level management, this engine integrates directly at the network or application layer. It delivers consistent, enterprise-wide noise cancellation that operates invisibly during live calls while satisfying stringent data security and compliance requirements.

## Startup Founding Hypothesis

**Approach**: that filters ambient background noise from live call streams
**Competitors**:
- [Krisp](/Competitors/Krisp)
- [Deepgram](/Competitors/Deepgram)
- [legacy PBX filters](/Competitors/legacy_PBX_filters)
**Differentiator2x2**: strictly privacy-preserving and optimized for zero-latency live stream execution

## Startup Solution Coordinate

**Solution**: [Clearvoice Acoustic Shield](/Software/Clearvoice_Acoustic_Shield)

## Startup Position2x2

```mermaid
quadrantChart
    title Privacy vs Latency in Audio Filtering
    x-axis "Cloud Processing" --> "Privacy-Preserving"
    y-axis "High Latency" --> "Zero-Latency Live"
    quadrant-1 "Live Privacy"
    quadrant-2 "Cloud Fast"
    quadrant-3 "Legacy Slow"
    quadrant-4 "Private Delayed"
    Clearvoice: [0.92, 0.95]
    Krisp: [0.80, 0.88]
    Deepgram: [0.15, 0.80]
    Legacy PBX Filters: [0.85, 0.20]
```

## Startup Customer Journey

```mermaid
flowchart LR; A[GitHub Repository] --> B[SDK Sandbox]; B --> C[Test Audio Stream]; C --> D[WebSocket API Account]; D --> E[Enterprise Edge Endpoint]; E --> F[Voice Application]; F --> G[AI Agent Registry];
```

## Startup Proof Points

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**Pilot Goals**:
- A 14-day parallel deployment with 50 remote contact center agents, aiming to prove that the API correctly isolates the primary speaker voice while maintaining real-time conversational flow under varying internet conditions.
- A 30-day architecture review and load-test with a healthcare IT team, targeting strict verification of the sub-20ms latency guarantee and successful third-party audit of the zero-logging memory lifecycle.
**Target Metrics**:
- Target: <20ms total round-trip processing latency overhead per audio chunk.
- Aim: 98% reduction in active non-human ambient noise during live speech.
- Target: 0 bytes of audio data written to disk or retained post-stream.
- Aim: >500,000 stream minutes processed per month per enterprise node with zero SLA breaches.
**Target Case Studies**:
- A mid-sized telehealth provider integrates the WebSocket API to isolate physician and patient voices, aiming to eliminate background hospital noise while proving compliance via the zero-retention architecture.
- A distributed customer support BPO deploys the API for work-from-home agents, targeting the elimination of ambient household noise without adding noticeable conversational lag to live calls.
- A financial trading desk utilizes the enterprise edge endpoint to stream high-volume call audio, seeking to remove active trading floor chatter while ensuring sensitive financial audio is never written to disk.
**Testimonial Targets**:
- Target sentiment from a VP of Engineering: The WebSocket integration was completed rapidly, and the edge node co-location kept latency completely imperceptible to our callers.
- Target sentiment from a Chief Compliance Officer: The strict in-memory processing and guarantee of zero data retention allowed us to deploy AI audio processing on highly sensitive regulated workloads.
- Target sentiment from a Call Center Operations Director: The active voice isolation outperformed our standard PBX noise gates by removing background typing and chatter even while the agent was actively speaking.

## Startup Top Risks

**Risks**:
- Severity: existential · Description: Established competitors like Krisp or Deepgram release an on-device, zero-latency mode that directly matches the core privacy differentiator. · Mitigation Status: unmitigated
- Severity: high · Description: The strict zero-latency local AI model consumes excessive CPU or battery on lower-tier client devices, causing users to disable the feature. · Mitigation Status: in-progress
- Severity: high · Description: Major enterprise VoIP platforms lock down their audio pipelines or mandate proprietary bundled noise cancellation, preventing third-party SDK integration. · Mitigation Status: unmitigated
- Severity: moderate · Description: Fragmented hardware and operating systems create edge cases in local audio stream interception, increasing client integration overhead. · Mitigation Status: in-progress

## Startup Competitors

- [Krisp](/Competitors/Krisp) — Desktop App
- [Deepgram](/Competitors/Deepgram) — Cloud API
- [Legacy PBX Filters](/Competitors/Legacy_PBX_Filters) — Status Quo
- [Nvidia Maxine](/Competitors/Nvidia_Maxine) — SDK Component
- [Cisco BabbleLabs](/Competitors/Cisco_BabbleLabs) — Enterprise Incumbent

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: Background noise costs enterprise contact centers customer trust. Clearvoice provides zero-latency, private audio suppression so every live call remains crystal clear.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: cd60e909a9c171e2

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Private audio processing engine for engineering leads at enterprise contact centers. Unlike cloud-dependent models like Deepgram — remove background noise without introducing conversational lag.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: e885456b5d8088d7

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Ambient noise like barking dogs and sirens bypasses legacy PBX filters, forcing agents to repeat themselves while customers wait through choppy audio.
Solution: Background noise costs enterprise contact centers customer trust. Clearvoice provides zero-latency, private audio suppression so every live call remains crystal clear.
Customer: engineering leads at enterprise contact centers
Unlike: cloud-dependent models like Deepgram
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: 2a39448904fc3982

## Startup Token M E D D P I C C

**Pain**: Ambient noise like barking dogs and sirens bypasses legacy PBX filters, forcing agents to repeat themselves while customers wait through choppy audio.
**Metrics**: Target: Every call remains professional and focused on the speaker, regardless of background chaos, with absolute data privacy and zero audio retention.
**Rendered**: Pain: Ambient noise like barking dogs and sirens bypasses legacy PBX filters, forcing agents to repeat themselves while customers wait through choppy audio.
Economic buyer: Communications Platform Developer
Metrics: Target: Every call remains professional and focused on the speaker, regardless of background chaos, with absolute data privacy and zero audio retention.
Competition: cloud-dependent models like Deepgram
**Mechanism**: spine-derived-v1
**Competition**: cloud-dependent models like Deepgram
**Economic Buyer**: Communications Platform Developer
**Vocab Fingerprint**: 6446d539f1f11e0d

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Private audio processing engine for engineering leads at enterprise contact centers

engineering leads at enterprise contact centers — Ambient noise like barking dogs and sirens bypasses legacy PBX filters, forcing agents to repeat themselves while customers wait through choppy audio. Background noise costs enterprise contact centers customer trust. Clearvoice provides zero-latency, private audio suppression so every live call remains crystal clear.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: 54e5d119afa76125

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Private audio processing engine. Background noise costs enterprise contact centers customer trust. Clearvoice provides zero-latency, private audio suppression so every live call remains crystal clear. Serves engineering leads at enterprise contact centers.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: 88f014b1437a2860

## Neighborhood

### Candidate solutions

- [Reconcile Synthetic Ledgers](/Problems/Reconcile_Synthetic_Ledgers) — candidate solution for · Problems

### What it offers

- [Clearvoice Acoustic Shield](/Software/Clearvoice_Acoustic_Shield) — offers · Software

### Composed of

- [Live Acoustic Engine](/Services/Live_Acoustic_Engine) — composes · Services
- [Local Device Audio API](/Agents/Local_Device_Audio_API) — composes · Agents
- [Zero Latency Filter SDK](/Agents/Zero_Latency_Filter_SDK) — composes · Agents
- [Stream Intercept Agent](/Agents/Stream_Intercept_Agent) — composes · Agents
- [Privacy Scrubbing Worker](/Agents/Privacy_Scrubbing_Worker) — composes · Agents

### Embodies

- [Software](/Theses/Software) — embodies · Theses

### Competitors

- [Legacy PBX Filters](/Competitors/Legacy_PBX_Filters) — competes with · Competitors
- [Deepgram](/Competitors/Deepgram) — competes with · Competitors
- [Krisp](/Competitors/Krisp) — competes with · Competitors
- [Cisco BabbleLabs](/Competitors/Cisco_BabbleLabs) — competes with · Competitors
- [Nvidia Maxine](/Competitors/Nvidia_Maxine) — competes with · Competitors

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