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Key facts

  • Geck Voice builds products that can hear, understand and speak.
  • Covers speech-to-text, intelligent transcription, voice agents and conversational experiences.
  • Use as product software or as part of a custom voice workflow with Geck.
VOICE (BY GECK)
02 — VOICE

Build products that can hear, understand and speak.

Voice is becoming an interface. Geck builds AI-powered voice products — from speech-to-text systems and intelligent transcription to voice agents and conversational experiences.

Interactive Voice Pipeline Simulator

Speech to Structured Intelligence

Select an audio scenario below to see how Geck processes real-time speech into verbatim transcript, structural knowledge extraction, and automated downstream outputs.

Stanford CS224N: Neural Attention & RAG Pipelines

Prof. Christopher Manning

PAUSED
Live Speech-to-Text
Today we are discussing bidirectional encoder representations and transformer attention heads.
When queries match keys through dot-product scoring, weights scale dynamically across the context window.
For production voice agents, low-latency streaming inference requires chunked acoustic embeddings.
Next week we will inspect speculative decoding algorithms for real-time conversational agents.
Autonomous Knowledge Synthesis
Extracted Concept Cards
What scales attention weights dynamically?Dot-product scoring between queries and keys.
What is required for low-latency streaming?Chunked acoustic embeddings and speculative decoding.
Downstream Action Workflows
Review Transformer multi-head math
Build chunked audio streaming pipeline
THE IDEA

Voice isn't just a microphone.

The hard part isn't turning audio into text. It's turning speech into something useful.

🎙️ A lecture becomes structured knowledge.
📞 A phone call becomes an action.
📊 A conversation becomes data.
⚙️ A voice interaction becomes a workflow.

That's the system Geck builds.

WHAT WE BUILD

From speech to working systems.

Speech → Text

Capture conversations, lectures, calls and other audio and convert them into usable text.

Text → Speech

Turn information, responses and content into natural spoken experiences.

Transcription

Create searchable, structured records from conversations and audio.

Voice Agents

Build agents that can listen, understand context, respond and take action.

Conversational Products

Create products where speaking is the interface.

Voice Intelligence

Extract information, structure knowledge and trigger workflows from spoken input.

THE CAPABILITY

We don't just transcribe.

Imagine a student recording a lecture. The system can:

• Capture the lecture

↓ Transcribe it

↓ Understand the content

↓ Structure the important concepts

↓ Generate notes

↓ Create flashcards

↓ Generate quizzes

↓ Help the user revise

The same underlying capability can power very different products. The interface changes. The intelligence underneath scales.

VOICE AGENTS

Give your product a voice.

Build agents that can listen, understand intent, maintain conversational context, retrieve information, answer questions, trigger actions, connect to existing systems and hand conversations back to humans when needed.

From “talk to our AI” to “let our AI actually do something.”

PRODUCT EXAMPLES

What could we build?

AI Study Companion

Turn spoken classes into structured learning.

Voice Support Agent

Handle customer conversations and route complex issues.

Sales Agent

Qualify conversations, answer questions and move prospects through workflows.

Meeting Intelligence

Turn conversations into summaries, decisions and actions.

Voice Interface

Make an existing product usable through natural conversation.

Your use case doesn't need to fit a template.