Deepgram

Enterprise-grade speech recognition for scalable, secure, and compliant NLP solutions

Venture Funded$50M+Series BAmplify PartnersVillage GlobalCostanoa Ventures

speech-to-textaudio transcriptionenterprise AIcompliance

About

Deepgram provides advanced AI-powered speech recognition tailored for enterprises, enabling scalable transcription and audio analysis with high accuracy. Deepgram's platform is designed for seamless integration and deployment at scale across diverse enterprise environments.

This description came from a bulk import and has not yet been checked against the vendor's own page. Treat it as unverified.

Enterprise Readiness

from cataloged data

Not scored. Nobody has checked this entry against Deepgram’s own site yet, so the signals below are unverified and we will not turn them into a rating. The breakdown shows what our record holds.

Security & ComplianceNot disclosed

No compliance certifications listed

Deployment FlexibilityStrong

Flexible deployment: Cloud, On-Premise, Hybrid, Self-Hosted

Integration DepthStrong

8 documented integrations

Proven AdoptionPartial

6 documented use cases

Company MaturityStrong

Founded 2015 · Series B

Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.

Independently sourced

Pulled directly from regulator filings and platform APIs. No vendor or editorial input.

Activity classifier

Active

last GitHub commit 0d ago

GitHub API2026-05-27

deepgram

Open source product· 824★· Apache-2.0· active 3mo ago

Python · TypeScript · JavaScript · Rust

steady · +0★ (+0%) 30d

PyPI registry

kur

v0.7.0· Apache Software License (http://www.apache.org/licenses/LICENSE-2.0)· released 8.8y ago

Status page2026-05-22

Operational

operational· via statuspage· 14 incidents (90d)

OSV vulnerability feed2026-08-24

No known advisories

Enterprise Use Cases

Call center transcription and analytics

Compliance monitoring for regulated industries

Meeting and conference transcription

Voice-enabled document processing

Customer sentiment analysis

Real-time voice data indexing

Integrations

AWSGoogle CloudMicrosoft AzureTwilioZoomSalesforceZendeskSlack

How Deepgram compares

Tool	Readiness	Pricing	Deployment	Compliance	Integrations
Deepgram	Not scored	Enterprise	Cloud, On-Premise, Hybrid, Self-Hosted	—	8
Hyperscience	Not scored	Enterprise	Cloud, On-Premise, Hybrid	—	8
Instabase	70 · Strong	Enterprise	Cloud, On-Premise, Hybrid	—	8
Leah	67 · Strong	Enterprise	Cloud, On-Premise, Hybrid	—	8

Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.

Frequently Asked Questions

What is Deepgram used for?

Deepgram is enterprise-grade speech recognition for scalable, secure, and compliant NLP solutions. It is commonly used for call center transcription and analytics, compliance monitoring for regulated industries, meeting and conference transcription, and voice-enabled document processing.

Is Deepgram free, and how is it priced?

Deepgram uses enterprise pricing, typically a custom quote based on seats, usage, and requirements. Contact the vendor for a quote.

How can Deepgram be deployed?

Deepgram supports Cloud, On-Premise, Hybrid, and Self-Hosted deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.

What does Deepgram integrate with?

Deepgram documents 8 integrations, including AWS, Google Cloud, Microsoft Azure, Twilio, Zoom, and Salesforce.

When was Deepgram founded?

Deepgram was founded in 2015 and has raised $50M+ in funding.

Is Deepgram enterprise-ready?

Based on cataloged data, Deepgram has an Enterprise Readiness score of 70/100 (Strong tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.