What Datavox does

Datavox is a purpose-built Generative AI platform that converts unstructured corporate data into structured, analyzable data using its patented Textual ETL™ engine. The platform addresses the roughly 80% of enterprise data — customer reviews, PDFs, handwritten notes, engineering diagrams, call center recordings, and medical records — that traditionally cannot be measured or analyzed. Core technology was created by Bill Inmon, recognized as the 'Father of the Data Warehouse' and co-architect of the Data Lakehouse, and processes text through NLP, knowledge graph construction, and generative AI to produce structured output compatible with Neo4j, Tableau, and ThoughtSpot.

The company offers an annual SaaS subscription at $99/month (12–36 month terms) bundled with Neo4j Aura Cloud, pre-built industry taxonomies, customized company ontologies, and customer/brand sentiment analysis. Revenue is complemented by professional services (custom taxonomy development, consulting, training) and add-on extensions (Neo4j Knowledge Graphs, ThoughtSpot BI, API integration, Data Lakehouse architecture services). Go-to-market is enterprise field sales targeting senior Marketing, Product, and C-Suite buyers, with documented case studies at Petronas, Adidas, Darden/Red Lobster, Nobu, and Empower Pharmacy across Healthcare, Pharmaceutical, Consumer Products, Energy, Financial Services, and Hospitality verticals.

Datavox is privately held, founder-led, with 7 employees, headquartered in Newport Beach, California. The leadership team comprises CEO Roger W. Lindsay (serial entrepreneur), Chairman Bill Inmon (data warehousing pioneer), CTO Dave Rapien, COO Patrick Daly, and VP of Customer Success Patty Haines. No external institutional funding has been disclosed.

Name

Datavox

Legal name

Datavox

Website

https://datavox.ai

Company type

Private

Operating status

Operating

Headcount range

1–10 employees

Short description

Datavox is a Generative AI platform using its patented Textual ETL engine to convert unstructured enterprise data into structured, analyzable data for senior marketing, product, and C-Suite buyers across healthcare, financial services, consumer products, and energy verticals.

Ownership category

akta.pro rank

Product category

Unstructured Data Analytics Platform

NAICS

Software Publishers (5132), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518)

SIC

Services-Prepackaged Software (7372), Services-Computer Processing & Data Preparation (7374)

akta.pro primary industry

Data Virtualization & Federation (HDAEACAH)

akta.pro secondary industries

Data Platform (Unified Data & Analytics) Suites (HDAEABAD), Data Governance Platforms (Policies, Stewardship, Workflows) (HDAEADAB)

Keywords

• Unstructured data analytics
• Textual ETL platform
• Generative AI data platform
• Knowledge graph integration
• Voice of customer analysis

Headquarters

HQ city

Newport Beach

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure

Revenue model

1. Annual SaaS Subscription: Annual subscription model ($99/month) including Textual ETL Engine, Neo4j Aura Cloud subscription, unstructured data uploading, pre-built industry taxonomies, customized company ontologies, customer and brand sentiment analysis, onboarding, and user training. Subscriptions range from 12 to 36 months.
2. Professional Services: Additional services including new industry taxonomy customization, company ontologies development, analysis and findings reviews, ongoing training, consulting and education, text object classification, public speaking engagements, and content creation
3. Add-on Extensions and Options: Optional extensions including Neo4j Knowledge Graphs extension, Neo4j node increases, ThoughtSpot BI licensing, API integration to major data platforms, Center of Excellence for data analysis, and data lakehouse architecture services

Pricing tiers

Go-to-market motion1 record

Distribution channels1 record

Marketing channels3 records

Core offering

Datavox is a purpose-built Generative AI platform that converts unstructured data (customer reviews, PDFs, handwritten notes, engineering diagrams, social media) into structured data through its patented Textual ETL™ engine. The platform creates metadata to isolate relevant content and identifies meaningful relationships in customer-specific context, then integrates with leading visualization platforms like Neo4j and Tableau for downstream analysis.

Product overview

Datavox is a purpose-built Generative AI platform that converts unstructured data to structured data using its patented Textual ETL™ engine as the core technology. The platform operates on a modular architecture where the Textual ETL™ Engine serves as the foundational capability, supported by Knowledge Graphs, Business Intelligence & Visualization, Customer and Brand Sentiment Analysis, Pre-Built Industry Taxonomies, and Customized Company Ontologies. Neo4j Aura™ Cloud is included as the standard visualization layer, with optional extensions to ThoughtSpot BI and Neo4j Knowledge Graphs. The platform offers industry-specific solutions for Healthcare/Pharmaceutical, Consumer Products, Financial Services, Hospitality, Energy, and Travel/Leisure sectors, with verticals including Call Center Analytics and Voice of the Patient Medical Record. Subscriptions include Neo4j Aura, unstructured data uploading, industry taxonomies, and sentiment analysis, with add-on options for API integration, COE services, and Data Lakehouse architecture.

Differentiator

Problem solved

Functional benefit

Brands

• Textual ETL: Patented platform that automates the transformation of large volumes of textual artifacts by creating metadata to isolate what's relevant and identify meaningful relationships.

Products and services

• Textual ETL Platform Patented Generative AI engine that converts unstructured data — customer reviews, PDFs, handwritten notes, engineering diagrams — into structured data that can be visualized and analyzed using platforms like Neo4j and Tableau. Sold as a SaaS subscription targeting senior Marketing, Product Leaders and C-Suite executives at enterprise accounts.
• Call Center Analytics Call-center-specific solution built on the Textual ETL platform that extracts insights from millions of voice recordings that call centers receive and store but cannot analyze today. Targets call center operations leaders seeking to mine recorded conversations for customer sentiment and operational insight.
• Voice of the Patient Medical Record Healthcare solution enabling executives and medical researchers to analyze thousands or millions of patient records simultaneously for clinical notes analysis, drug discovery, genomic/proteomic data analysis, public health surveillance, and patient-centered outcomes research.
• Corporate Card Catalog Document organization, correlation and retrieval system that enables enterprises to index, search and manage millions of documents (PDFs, emails, contracts, engineering specifications, service histories) across geographies such as 300+ oil rigs.
• Center of Excellence for Data Analysis Service offering in which Datavox operates an outsourced Center of Excellence to handle all data analysis work for customers, providing end-to-end analytical services on top of the Textual ETL platform.
• Data Lakehouse Architecture Service Service to design and implement Data Lakehouse architecture for enterprise customers, leveraging Bill Inmon's role as co-architect of the Data Lakehouse concept.

Quantifiable outcome

• $100s of millions in cost savings and efficiency improvements for Petronas through improved maintenance and document management
• +3 more outcomes

Named customers5 records

Segments5 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration4 records

AI capability7 records

Feature4 records

Partnerships

Two partnerships are on record, tiered core.

• Neo4jcoreTechnology or IntegrationTechnology integration partnership. Neo4j Aura Cloud Subscription is included as part of Datavox's base subscription. Neo4j Knowledge Graphs Extension is available as an optional add-on. Neo4j is used as the visualization and knowledge graph platform for structured data output.
• TableaucoreTechnology or IntegrationTechnology integration partnership. Tableau is used as one of the primary visualization platforms for analyzing structured data output from Datavox's Textual ETL platform.

Scale indicators3 records

Recent moves6 records

Expansion highlights5 records

Emerging players

• Dataiku: Dataiku is an enterprise data science and AI platform that allows customers to build NLP and text analytics pipelines. It overlaps with Datavox's structured/unstructured transformation workflows in mid-market and enterprise segments.
• Gong.io: Gong analyzes unstructured call center conversations to surface revenue and customer insights. It is a comparable vertical solution to Datavox's Call Center Analytics product, though narrower in scope.
• InMoment: InMoment is a customer experience analytics platform that processes unstructured feedback and reviews to surface sentiment and brand insights, comparable to Datavox's Voice of Customer and sentiment analysis modules.
• Observe.AI: Observe.AI applies conversational AI to unstructured call center audio and transcripts, directly comparable to Datavox's Call Center Analytics offering for enterprise contact centers.

Broad incumbents

• Medallia: Medallia is a large customer experience analytics platform that processes unstructured feedback (reviews, surveys, social). It overlaps with Datavox's Voice of Customer and sentiment analysis capabilities at a much larger scale.
• Databricks: Databricks is a dominant lakehouse and data platform that increasingly supports unstructured data workflows and GenAI. As a partner of Datavox today, it is also a potential competitive threat if it builds or acquires Textual ETL capabilities.
• Palantir: Palantir's Foundry and AIP platforms integrate unstructured documents into enterprise analytics workflows for large customers. It competes broadly with Datavox in enterprise unstructured data exploitation.

Direct peers

• Sinequa: Sinequa offers an enterprise search and NLP platform that ingests unstructured content and produces structured, analyzable outputs. It competes directly with Datavox's Textual ETL engine for large enterprises with document-heavy workflows.
• Primer.ai: Primer.ai builds enterprise NLP and text analytics platforms that ingest unstructured documents at scale and surface structured insights. It directly overlaps with Datavox's Textual ETL value proposition across defense, financial services, and enterprise customers.
• John Snow Labs: John Snow Labs provides healthcare-focused NLP and unstructured data extraction, overlapping directly with Datavox's Voice of the Patient Medical Record use case and clinical-notes analytics.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/datavoxai

Revenue estimate

Valuation estimate

Number of profiles

Profiles5 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Datavox