Sonexis is a conversational voice data company that builds scenario-driven speech datasets for AI systems. It provides Hindi, Hinglish, Punjabi, Marwadi, and Indian English datasets for ASR, TTS, and conversational AI applications.

What kind of data does Sonexis provide?

Sonexis provides conversational voice datasets with timestamped transcripts, speaker metadata, and per-token language annotations. Datasets are designed around real scenarios including customer support, sales, and onboarding.

How does Sonexis build datasets?

Sonexis follows a seven-stage process: use case definition, conversation flow design, speaker sampling, controlled recording, multi-pass transcription QA, metadata structuring, and versioned delivery.

Sonexis serves AI startups, research labs, large technology companies, voice AI platforms, and foundation model teams building for multilingual and emerging markets.

Sonexis | Conversational Voice Data for Production AI Systems

Q: What languages does Sonexis cover?

Sonexis actively builds in Hindi, Hinglish, Punjabi, Marwadi, and Indian English. We also support multilingual code-mixed combinations including Hindi-English, Marwadi-Hindi, Haryanvi-Hindi, Marwadi-English, or any pairing your model needs. We can also extend into Tamil, Marathi, and other regional languages while maintaining the same structure and quality standards.

The Gap in Speech AI

Scraped data captures words. Sonexis captures the language.

Scraped / Synthetic ✗

"Namaste, aapka swagat hai. Kya main aapki sahayata kar sakta hoon?"

→ Overly formal, unnatural grammar
→ Zero overlapping speech
→ Studio-perfect, sterile acoustics

Sonexis Conversational ✓

"Sun, abhi scene clear hai. Ticket book karun ya kal ke liye hold karein?"

✓ Fluid code-mixing and natural language switching
✓ Back-and-forth corrections, fillers, and interruptions
✓ Ambient, real-world noise layers

Data Inspection

Inspect the Output

Audio Sample

▶

Hinglish Call Center Query

Audio sample available on request

Speaker Turns

S1: Kya aap mera refund initiate kar sakte hain?

S2: Sure sir, let me check your order details.

S1: Jaldi kijiye, main hold pe hoon.

Metadata Snapshot

{
  "language": "hinglish",
  "environment": "office_noisy",
  "overlap": true,
  "speaker_id": "IN_NORTH_042"
}

Production Pipeline

From use-case definition to delivery within 14 days of contract. Timeline scales with language and complexity.

01

Define Use Case

Identify your specific language, domain, and acoustic requirements (e.g., in-car Hindi ASR).

02

Scripting & Scenarios

Designing prompts that trigger natural, unscripted responses and diverse linguistic patterns.

03

Contributor Sourcing

Sourcing the right speaker profiles: native speakers across your target language, region, and demographic.

04

Managed Recording

High-fidelity captures in controlled real-world settings with expert session supervision.

05

Multi-layer Annotation

Verbatim transcripts, timestamping, speaker tagging, and emotional metadata extraction.

06

QA & Validation

Rigorous 3-step verification loop ensuring 99.5% transcript accuracy across all dialects.

07

Secure Delivery

Delivery

Per Brief

Discuss Your Requirements →

Start Building

Get high-fidelity voice data into your training pipeline with zero friction.

1

Review Dataset Specs

Browse our schema structure, annotation layers, and coverage specs for your target language and domain.

2

Define Requirements

Tell us your language, domain, speaker profiles, edge cases, and volume requirements.

3

Receive Production Data

Get structured, delivery-ready data within 14 days of contract. We support both one-time dataset creation and ongoing data pipelines for continuous generation.

Language Coverage Matrix

Language	Domain Variety	Code Mixing	Annotation	Status
Hindi	High (General, Banking, Tech)	✓ Full	Verbatim, Emotion, POS	BUILT TO ORDER
Hinglish	Medium (Lifestyle, E-commerce)	✓ Native	Language ID, Sentiment	BUILT TO ORDER
Punjabi	Medium (Agri, Family)	~ Partial	Verbatim, Timestamped	BUILT TO ORDER
Marwadi	Low (Trade, Rural)	– None	Verbatim Only	BUILT TO ORDER
Indian English	Medium (Tech, BPO)	– None	Verbatim, Accent-tagged	BUILT TO ORDER
Tamil	Medium (Support, Daily Life)	~ Partial	Verbatim, Timestamped	ON REQUEST
Marathi	Medium (Commerce, General)	~ Partial	Verbatim, Timestamped	ON REQUEST
Multilingual / Code-Mixed	Any (per client brief)	✓ Native	Per-token Lang ID, Full	ON REQUEST

The Methodology Behind the Data

We don't just record audio; we design linguistic interactions. Our managed collection process ensures each second of data contributes to a higher F1 score for your models.

Explore Our Methodology →

🎙

Controllable Noise

Recorded in 15+ varied acoustic environments.

👥

Demographic Depth

Wide range of age, gender, and regional accents.

📄

Rich Annotation

Semantic, emotional, and prosodic tagging layers.

🛡

Privacy Guaranteed

100% PII redacted and GDPR/DPA compliant.

Ethical AI, by Design

Transparency is our default. Every contributor is a partner.

Consent Architecture

{
  "contributor_id": "SNX_9921",
  "explicit_consent": true,
  "usage_scope": [
    "ASR_TRAINING",
    "SENTIMENT_ANALYSIS"
  ],
  "fair_compensation": true
}

Explicit Consent

Contributors sign detailed agreements for specific AI training use cases. No hidden fine print.

Fair Compensation

Direct, market-leading rates paid to every contributor, ensuring a sustainable data economy.

Privacy First

De-identification is automated and double-checked by human auditors to remove all PII.

Data Rights

Every contributor retains the right to have their data removed from our active corpus upon request.

Train on How India Actually Speaks