Deepgram
New$15,000 in credits over 12 months (higher allocations available based on usage)
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About Deepgram
Deepgram is a voice AI platform designed for teams building products around speech, audio, and conversational interfaces. The platform combines speech-to-text, text-to-speech, and voice agent orchestration into a single API suite that can support everything from live transcription tools to AI-powered call automation.
The speech recognition engine is particularly strong in real-time environments where latency matters. It processes live audio streams quickly and handles accents, background noise, and overlapping conversations better than many older speech systems. That makes it a practical option for customer support platforms, meeting assistants, voice analytics products, and live captioning applications.
On the synthesis side, Deepgram generates natural-sounding voices that feel far less robotic than traditional text-to-speech systems. You can use it for conversational agents, automated phone systems, or any workflow that requires spoken responses in real time.
The Voice Agent API adds another layer by connecting transcription, language models, and speech generation into a unified pipeline. You can build conversational AI experiences without maintaining separate vendors and infrastructure for each voice component.
Deepgram also supports cloud, hybrid, and self-hosted deployments, which matters for organizations dealing with strict privacy or compliance requirements. Enterprise customers can train custom models for industry-specific terminology, improving recognition accuracy in fields like healthcare, finance, and legal services.
Companies including Twilio, IBM, and Cloudflare use Deepgram in production environments today. Check out the latest offers and deals available on our marketplace to get started.
Eligibility
- Non-paying customers only
- You must be building a voice AI or AI-native product that is in production or launching in the next 6 months
- You must have raised under $10M
- Agencies or services companies are not eligible for this offer.
Features
Real-time speech-to-text transcription
Deepgram converts live audio into text with very low latency, making it useful for captioning, customer support systems, voice assistants, and applications where delayed responses would noticeably hurt the experience.
Voice Agent API
The Voice Agent API combines speech recognition, language model orchestration, and speech generation into one workflow, reducing integration complexity and improving responsiveness for conversational AI applications operating in real time.
Custom model training
Enterprise customers can fine-tune models using industry-specific terminology and proprietary audio data, improving recognition accuracy for specialized sectors like healthcare, legal services, insurance, financial operations, and technical support environments.
Batch audio transcription
Teams processing recorded calls, podcasts, interviews, or archived media can transcribe large audio libraries efficiently without maintaining their own speech infrastructure or manually managing complex transcription workflows at scale.
Text-to-speech synthesis
Deepgram generates natural-sounding speech from written text, helping you create conversational products, AI phone systems, and customer-facing audio experiences that sound significantly less mechanical than traditional voice engines.
Self-hosted deployment
Deepgram supports on-premise deployment for organizations handling sensitive data, allowing you to process audio within private infrastructure while maintaining performance levels similar to cloud-hosted deployments in production environments.
Audio intelligence capabilities
Beyond transcription, Deepgram offers speaker diarization, sentiment analysis, summarization, and topic detection features that help you turn raw conversations into searchable, structured, and operationally useful business data.
Multilingual transcription support
Deepgram supports multiple languages and regional accents, helping you build international voice products without relying on separate providers or fragmented infrastructure for multilingual transcription and conversational AI functionality.