The Model

End-to-End Voice AI.
As It Should Be.

Deepslate is a native speech-to-speech model. Audio in, audio out. No middleware.

How It Works

One Model. Zero Middleware.

Traditional voice AI stitches together three separate systems. Deepslate replaces the entire chain with a single model that thinks in audio.

Traditional Pipeline

3 models chained together

~800ms+

Audio In

›

Speech to Text

Transcription

›

Text

›

LLM

›

Text

›

Text to Speech

Synthesis

›

Audio Out

Why text as an intermediate fails Voice AI

Latency Stacking

Each conversion adds 200–300ms. Three models in sequence create delays that break natural conversation.

Emotion Lost

Text strips tone, sarcasm, and urgency. The AI responds to words, not meaning.

Error Compounding

Transcription errors with accents, names, and addresses compound through the chain.

Deepslate Model

Single native speech-to-speech

250ms

Audio In

›

Deepslate

Speech

Encoder

›

Embedding

›

LLM

›

Embedding

›

Speech

Decoder

›

Audio Out

Why embeddings unlock the full potential of Voice AI

Semantic Meaning

Embeddings capture full meaning directly from audio — no lossy transcription needed.

Prosody & Emotion

Rhythm, emphasis, intonation, and pauses preserved. The AI hears how something is said.

Zero Conversion Loss

One model, end-to-end. No error compounding, no latency stacking.

Performance

Numbers That Speak for Themselves.

We don't just claim to be better — we prove it. Here's how Deepslate performs against the industry's biggest names.

250ms

End-to-End Latency

From the moment your customer stops speaking to the moment they hear a response. Fast enough for truly natural, human-like conversations — no awkward pauses, no waiting.

Tau-Bench

Beats GPT 5.1 in Intelligence

On the Tau-Bench agentic benchmark, our model outperforms million-dollar models. It handles multi-step reasoning, verification, and information retention — natively, in audio.

CoVoST2

Outperforms Industry Benchmarks

Deepslate leads the CoVoST2 benchmark across European languages. Lower word error rates mean fewer misunderstandings in production — and less need for human fallback.

BIG-Bench

Superior Speech Reasoning

BIG-Bench Audio tests whether AI can reason directly from speech. While competitors lose up to 40% accuracy when switching from text to audio, Deepslate was built for audio-first reasoning.

How It Works

One Model. Zero Middleware.

Traditional voice AI stitches together three separate systems. Deepslate replaces the entire chain with a single model that thinks in audio.

Traditional Pipeline

3 models chained together

~800ms+

Audio In

›

Speech to Text

Transcription

›

Text

›

LLM

›

Text

›

Text to Speech

Synthesis

›

Audio Out

Why text as an intermediate fails Voice AI

Latency Stacking

Each conversion adds 200–300ms. Three models in sequence create delays that break natural conversation.

Emotion Lost

Text strips tone, sarcasm, and urgency. The AI responds to words, not meaning.

Error Compounding

Transcription errors with accents, names, and addresses compound through the chain.

Deepslate Model

Single native speech-to-speech

250ms

Audio In

›

Deepslate

Speech

Encoder

›

Embedding

›

LLM

›

Embedding

›

Speech

Decoder

›

Audio Out

Why embeddings unlock the full potential of Voice AI

Semantic Meaning

Embeddings capture full meaning directly from audio — no lossy transcription needed.

Prosody & Emotion

Rhythm, emphasis, intonation, and pauses preserved. The AI hears how something is said.

Zero Conversion Loss

One model, end-to-end. No error compounding, no latency stacking.

How It Works

One Model. Zero Middleware.

Traditional voice AI stitches together three separate systems. Deepslate replaces the entire chain with a single model that thinks in audio.

Traditional Pipeline

3 models chained together

~800ms+

Audio In

›

Speech to Text

Transcription

›

Text

›

LLM

›

Text

›

Text to Speech

Synthesis

›

Audio Out

Why text as an intermediate fails Voice AI

Latency Stacking

Each conversion adds 200–300ms. Three models in sequence create delays that break natural conversation.

Emotion Lost

Text strips tone, sarcasm, and urgency. The AI responds to words, not meaning.

Error Compounding

Transcription errors with accents, names, and addresses compound through the chain.

Deepslate Model

Single native speech-to-speech

250ms

Audio In

›

Deepslate

Speech

Encoder

›

Embedding

›

LLM

›

Embedding

›

Speech

Decoder

›

Audio Out

Why embeddings unlock the full potential of Voice AI

Semantic Meaning

Embeddings capture full meaning directly from audio — no lossy transcription needed.

Prosody & Emotion

Rhythm, emphasis, intonation, and pauses preserved. The AI hears how something is said.

Zero Conversion Loss

One model, end-to-end. No error compounding, no latency stacking.

Languages

27 Languages. European DNA.

US-trained models struggle with European names, addresses, and dialects. We trained Deepslate specifically for the way Europe actually speaks — across 27 languages, with deep focus on regional nuance.

European Focus

Deepslate doesn't just translate — it understands. Trained on European speech patterns, dialects, and cultural context to handle real conversations with real customers.

Names, Addresses, Emails

The details that matter most in business calls — and where most voice AIs fail. Deepslate handles European names, street addresses, and email spelling with precision.

Made in Germany. GDPR by Design.

Self-host on your own hardware or run on our EU-based cloud. Zero data leaves Europe. Zero third-party dependencies. Your customers' data stays exactly where it should.

Ready to Build the Future

of Voice AI?

Request a Demo

Lets Talk

If you have questions email us at info@deepslate.eu

Features

Benchmarks

Process

Use Cases

Imprint

Terms and conditions

Ready to Build the Future

of Voice AI?

Request a Demo

Lets Talk

If you have questions email us at info@deepslate.eu

Features

Benchmarks

Process

Use Cases

Imprint

Terms and conditions

Ready to Build the Future

of Voice AI?

Request a Demo

Lets Talk

If you have questions email us at info@deepslate.eu

Features

Benchmarks

Process

Use Cases

Imprint

Terms and conditions

End-to-End Voice AI.As It Should Be.

End-to-End Voice AI.As It Should Be.

One Model. Zero Middleware.

Numbers That Speak for Themselves.

One Model. Zero Middleware.

One Model. Zero Middleware.

27 Languages. European DNA.

European Focus

Names, Addresses, Emails

Made in Germany. GDPR by Design.

Ready to Build the Future

of Voice AI?

Ready to Build the Future

of Voice AI?

Ready to Build the Future

of Voice AI?

End-to-End Voice AI.
As It Should Be.

End-to-End Voice AI.
As It Should Be.