Real-world voice data

Better voice AI starts with better conversations.

Gauss² turns sensitive, operational audio into privacy-reduced, structured, annotated, and quality-verified data for voice AI training and evaluation.

Discuss a voice data need See what we produce

SYNTHETIC RECORDVOICE / 0200:03:42

01AGENT

PII MASKED

QUESTION

02CONTACT

OBJECTION

NEXT STEP

VOICE / CONVERSATION / EVALUATIONSource to release, with evidence intact.

01 The premise

The value is not in the raw hours. It is in the structure around them.

Real conversations contain what voice systems struggle with most: overlap, hesitation, correction, noisy channels, objections, transfers, failed attempts, and ambiguous outcomes. They also contain sensitive details and recognizable human voices.

We turn private conversation records into documented data products built around a named training or evaluation use.

02 Capabilities

From restricted audio to reviewable voice data.

One continuous process. No unexplained handoffs.

Clean

Preserve the source, replace identifying references, detect sensitive spans, and apply the approved privacy treatment to transcript and audio.

Independent rechecks before release

Structure

Create timestamped speech, speaker roles, readable turns, attempt sequences, and objective interaction measurements.

Timing, overlap, latency, interruptions

Annotate

Map conversation stages and evidence-linked events—from needs and objections to disclosures, commitments, and next steps.

Exact evidence for every material label

Validate

Challenge unsupported conclusions, isolate uncertainty, route high-risk material to human review, and bind approval to the exact release.

Versioned, reviewable, reproducible

Automation reduces review burden. It does not remove accountability.

03 Use cases

Built around the question your voice system needs to answer.

Voice agents

Turn-taking, interruption handling, latency, intent, objection response, escalation, and task completion.

Conversation intelligence

Stage detection, structured summaries, question–answer links, coaching signals, and outcome evaluation.

Speech systems

Telephony transcription, word timing, diarization, role assignment, overlap, accents, and difficult audio.

Quality & compliance

Disclosure detection, script adherence, escalation, unsupported claims, and buyer-specific review rubrics.

04 The delivery

A dataset your team can inspect, understand, and use.

Every release is versioned, documented, and scoped to a defined use. Raw access is never treated as the product.

Privacy-reduced, resynthesized, or transcript-only data

Literal and readable-turn transcripts

Pseudonymous conversation and attempt identifiers

Speaker, timing, overlap, latency, and quality metrics

Evidence-linked stages, events, and relationships

Verified outcome joins when an approved source exists

Protected evaluation splits and acceptance tests

Dataset card, label guide, provenance, and quality report

05 Rights by design

Removing names and numbers does not create permission to use a person’s voice.

Transcript data

Structured turns, timestamps, annotations, and metrics without distributable voice.

Privacy-reduced voice

Redacted or resynthesized audio when acoustic and interaction signals are required.

Original voice

Only when permissions, buyer use, retention, and security terms explicitly allow it.

06 How we work

Start with one voice-data question.

A first engagement is a scoped data and evaluation pilot—not a promise to process every available recording.

Define the use

Name the behavior, model decision, or failure mode the data must support.

Confirm the rights lane

Align sources, voice treatment, privacy, retention, and excluded uses.

Design the schema

Choose the conversations, labels, metrics, format, and acceptance criteria.

Build a representative set

Include the success, failure, difficult audio, and ambiguity that matter.

Review and expand

Scale only after the sample proves useful for the intended purpose.

GAUSS²

07 About Gauss²

An independent real-world data company, starting with voice.

We turn private, messy human conversations into dependable training and evaluation data while preserving evidence, permissions, and quality from source to release.

Gauss is our family name. The square represents two brothers building the company together—and the value created when real-world information becomes structured, dependable data.

08 Start a conversation

What does your voice system need to hear?

Tell us the conversation, behavior, or failure mode your current data does not cover. You will hear directly from a founder.

hello@gauss2.com