AdTech Vendor · vs · B2B SaaS Provider
Hive vs Veritone
Structured technology and market comparison · 2026
Direct Feature Comparison
Hive · vs · VeritoneEnterprise AI APIs for moderation, fraud detection and content safety.
Enterprise AI software for unstructured media, analytics, and hiring workflows.
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Compare mutual enterprise clients, monetization models, live market signals, and partner networks directly in the interactive Knowledge Graph.
Comparison Analysis
What is the main difference between Hive and Veritone?
When comparing Hive and Veritone, both platforms operate within the Large Language Models (LLM) & AI and Measurement & Analytics Platform ecosystem. Hive is positioned as Enterprise AI APIs for moderation, fraud detection and content safety, whereas Veritone focuses on Enterprise AI software for unstructured media, analytics, and hiring workflows. Decision-makers evaluate both solutions when orchestrating their commercial monetization and technology stack.
What are the top alternatives to Hive and Veritone?
When evaluating Hive and Veritone, enterprise buyers also consider other platforms in Large Language Models (LLM) & AI and Measurement & Analytics Platform. You can discover the full competitive landscape and evaluate other alternatives by viewing their respective footprint profiles on Polaris7.
How do the corporate scale, structure, and headquarters of Hive and Veritone compare?
Hive is headquartered in United States (founded in 2013) with 50–200 employees. Veritone is based in United States (founded in 2014) with 201–500 employees. Complete ownership, subsidiary trees, and corporate affiliations are documented across Polaris7.
Market Signals
Recent Market Signals & Activity: Hive vs Veritone
Documented market movements, strategic partnerships, product releases, and regulatory developments mapped across Polaris7.
Hive
Recent Signals
No recent market signals documented for Hive in the current tracking window.
Veritone
Recent Signals
- ·SEC APIfinancials
10-Q Financial Filing Analysis for Veritone (2026-08-13)
Veritone, Inc. reported its financial results for the second quarter ended June 30, 2026, delivering revenue of $24.26 million, up 4.6% year-over-year from $23.19 million, driven by growth in aiWARE and Managed Services. Operating loss widened to $22.14 million compared to $19.01 million in Q2 2025, primarily due to $4.52 million in restructuring charges related to a workforce reduction plan aimed at cutting headcount by at least 25%. Net loss for the quarter reached $22.16 million, an improvement from $26.49 million in the prior-year period due to significantly reduced net interest expense following debt repayments in late 2025. The company reiterated substantial doubt about its ability to continue as a going concern, given its cash balance of $12.42 million and working capital deficit of $53.06 million against $45.47 million in convertible senior notes maturing in November 2026. Veritone is actively pursuing cost reduction programs and equity financing through its $50 million ATM program to shore up liquidity.
- Q2 2026 revenue increased 4.6% year-over-year to $24.26 million, while net loss improved to $22.16 million from $26.49 million in Q2 2025.
- Cash and cash equivalents stood at $12.42 million against $45.47 million in convertible senior notes maturing in November 2026, leading to a substantial doubt going concern warning.
- Implemented a restructuring plan targeting a workforce reduction of at least 25% from March 2026 levels, realizing $11.3 million in annualized savings by August 2026 after incurring $4.52 million in Q2 restructuring charges.
- ·SEC APIfinancials
8-K/A Financial Filing Analysis for Veritone (2026-08-13)
Veritone, Inc. filed an amendment on Form 8-K/A to provide cost estimates for its previously announced June 1, 2026 restructuring plan, which involves workforce reductions initiated on June 10, 2026, and reductions in third-party operating costs. The enterprise AI company expects total restructuring charges of $4.6 million to $5.3 million, consisting of $3.9 million to $4.5 million in severance, employee transition costs, and related benefits, plus $0.7 million to $0.8 million in exit costs for terminating or renegotiating vendor agreements. Through June 30, 2026, Veritone already recognized $4.5 million in restructuring expenses, with the remaining balance projected to be incurred through the first half of 2027.
- Veritone estimates total restructuring charges between $4.6 million and $5.3 million related to its workforce reduction and operating agreement renegotiations.
- Employee severance, transition costs, and related benefits account for $3.9 million to $4.5 million, while third-party exit costs account for $0.7 million to $0.8 million.
- A total of $4.5 million in charges was already incurred and recorded through June 30, 2026, with the remainder expected through H1 2027.
- ·SEC APIfinancials
8-K Financial Filing Analysis for Veritone (2026-10-01)
On September 30, 2026, Veritone, Inc. entered into a securities purchase agreement for a registered direct offering (RDO) of 20,000,000 shares of common stock. The offering is expected to generate gross proceeds of $15.0 million before offering expenses and is scheduled to close on or about October 2, 2026, subject to customary closing conditions. Veritone plans to use the net proceeds, alongside existing cash and cash equivalents, primarily to repay and/or restructure a portion of its outstanding convertible debt, as well as for general corporate purposes and working capital. The direct offering dilutes current shareholders but provides crucial liquidity to address its balance sheet leverage.
- Veritone agreed to issue and sell 20,000,000 shares of common stock in a registered direct offering.
- Gross proceeds are anticipated to be $15.0 million before deducting offering expenses payable by the Company, implying an offering price of $0.75 per share.
- Net proceeds are designated to repay and/or restructure outstanding convertible debt and support working capital, with closing scheduled around October 2, 2026.
Compare their exact ecosystem overlaps.
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