Transform unstructured data into intelligence, and intelligence into impact.
Grade: B — Score: 70/100
Veritone's technology leverages AI to tokenize unstructured data such as video, audio, and text, making it AI-ready and enhancing its usability for organizations.
By automating workflows and optimizing processes, Veritone enables businesses to save time and resources, allowing them to focus on core activities and improve overall efficiency.
With a commitment to ethical AI, Veritone addresses potential risks associated with data handling and ensures that its solutions contribute positively to society.
Enterprise (Custom): Quote-based
Consider switching to Palantir: Palantir offers similar data integration and analysis capabilities but focuses more on large-scale data operations.
Veritone and Palantir both serve government and enterprise clients with AI orchestration platforms, but they target different workflows. Veritone's aiWARE specializes in processing unstructured media (audio, video, images) through 300+ cognitive AI engines, with purpose-built applications for evidence management, media indexing, and content monetization. Palantir's AIP and Foundry focus on data integration, ontology modeling, and operational decision-making across structured datasets. Palantir offers a free self-serve AIP tier and rapid five-day bootcamps for pilots. Veritone has no self-service option and requires a sales engagement.
No. Veritone does not list pricing on its website. All contracts require a demo request and custom scoping based on deployment model, AI engine usage, data volume, and which solution modules are included. Third-party sources have cited starting costs around $72,000/year, but Veritone does not confirm this figure. There is no free trial or self-service signup.
Veritone serves four primary verticals. Government and law enforcement agencies use the iDEMS suite (Investigate, Redact, Illuminate, Tracker, IDentify) for digital evidence management. Media and entertainment companies use Discovery and Digital Media Hub for content indexing, metadata enrichment, and archive monetization. Clients in this space include CBS News, U.S. Soccer, and Audacy. The talent acquisition vertical operates through Veritone Hire (Broadbean and PandoLogic), which distributes jobs to 7,000+ boards across 100 countries. Commercial enterprises use Data Refinery to convert unstructured data into structured, AI-ready datasets.
Yes. Veritone's aiWARE platform holds FedRAMP Authorization to Operate for U.S. federal agencies. The platform is also CJIS-compliant for law enforcement data handling. Veritone has been deployed by the U.S. Air Force Office of Special Investigations and the Department of Justice. In January 2026, the company announced alignment with the Department of War's AI-first, modular open architecture strategy. Illuminate, Redact, and Track achieved 'Awardable' status on the DoD's Tradewinds Solutions Marketplace.
Veritone Redact uses AI engines to automatically detect faces, license plates, mobile devices, and other personally identifiable information in video and audio evidence. Users can define additional regions of interest for custom redaction. The Oregon Police Department cut redaction time by 66% compared to a desktop competitor, reducing a 10-minute body cam video from 1 hour 20 minutes to 25 minutes of processing. The Pasadena Police Department reduced two weeks of redaction work to two days. Redact runs on CJIS-compliant Azure infrastructure and generates full audit logs for chain of custody.
aiWARE is the underlying enterprise AI platform that orchestrates AI engines and manages workflows. Data Refinery is a product built on aiWARE that converts unstructured content (audio, video, images, text) into structured, AI-ready datasets for training models or analytics. In Q2 2025, Data Refinery processed an estimated 5 trillion tokens. It exited 2025 with over $50 million in Q4 bookings, up 250% year-over-year. The related Data Marketplace connects data suppliers with buyers seeking licensed training data.
Veritone supports multiple deployment options. In addition to Veritone-hosted cloud (AWS, Azure), the platform can be deployed on-premises, in hybrid configurations, or as self-hosted tenants in a customer's own private AWS or Azure environment. Self-hosted deployment was expanded in December 2025 specifically for government and public safety agencies requiring data sovereignty. In March 2026, Veritone signed a multi-year agreement with Oracle to add Oracle Cloud Infrastructure as a preferred deployment option.
Veritone's Master License Terms state that customers retain full ownership of their content (Section 4.2). However, Section 5.2(iii) grants Veritone a license to create aggregated or deidentified forms of customer content for business purposes, including platform improvements. There is no explicit opt-out mechanism for this usage documented in the public terms. Upon contract termination, Veritone will return or delete customer content at request, but may retain deidentified data. The privacy policy does not specifically address AI model training with customer data.