Veritone, Inc. (VERI) Company Overview

US | Technology | Software - Application | NASDAQ

What does Veritone do?

Veritone, Inc. is a Nasdaq-listed enterprise artificial-intelligence company whose common stock trades as VERI. The company’s core technology is aiWARE, an operating system that orchestrates machine-learning models and applications to turn large collections of audio, video, images, and text into searchable, governed, and actionable data. In practical terms, Veritone helps a police agency redact sensitive footage, a sports rights owner license archive clips, a recruiter distribute jobs, or an enterprise prepare controlled datasets for model training.

NASDAQ: VERI
Exchange and ticker, current company identity
1 segment
One reportable segment under U.S. GAAP in FY2025
446
Employees at December 31, 2025

Which markets and products matter?

The official product overview frames the business around commercial and regulated-sector use cases. Commercial Enterprise includes media, entertainment, sports, advertising, content licensing, and talent acquisition. Public Sector includes federal, state, and local government, law enforcement, legal, judicial, and compliance customers.

Enterprise AIDigital evidenceLicensed dataTalent technologyContent monetization

How does Veritone make money?

Veritone reports one operating segment but separates revenue into two economically different streams. Software Products & Services includes aiWARE applications, VDR, talent-acquisition software, support, maintenance, and professional services. Managed Services includes content licensing, representation, influencer-management, and related advertising services. This split is more informative than the formal segment count because software can create recurring or consumption-based platform economics, whereas managed services depend more directly on licensing activity, campaigns, and represented content.

Software Products & Services
Subscription SaaS, usage and data delivery, support, maintenance, and implementation. It generated $65.8 million in FY2025 and is the strategic growth engine.
Managed Services
Licensing, representation, and related advertising services. It generated $26.4 million in FY2025 and remains useful for rights-holder relationships and content supply.
Revenue quality tension
SaaS ARR is comparatively predictable; consumption revenue, VDR deliveries, licensing, and representation can be lumpier from quarter to quarter.

Which revenue source is largest?

Revenue stream FY2025 revenue Q1 2026 revenue How revenue is recognized
Software Products & Services $65.8M $13.8M Subscriptions over contract terms; consumption and delivered data when used or transferred; professional services as performed.
Licensing $19.6M $4.5M Fees tied to licensed third-party content, generally with royalties owed to content owners.
Representation services $6.8M $2.0M Campaign, influencer, live-event, and related service revenue.
Q1 2026 revenue mix
100%
Software Products & Services — $13.8M, 68.2% of Q1 2026 revenue
Managed Services — $6.4M, 31.8% of Q1 2026 revenue
Takeaway: software is the larger stream, but the company still depends on a meaningful managed-services base. Percentages are calculated from the Q1 2026 Form 10-Q.

The FY2025 Form 10-K shows that no customer represented 10% or more of annual revenue, reducing single-customer concentration. However, one customer represented 12% of accounts receivable at December 31, 2025, so collection and contract timing can still create working-capital concentration.

What did Veritone’s latest quarter show?

$20.3M
Q1 2026 revenue, down 9.8% year over year
$64.2M
ARR at March 31, 2026, up 9.4%
61.4%
GAAP gross margin in Q1 2026
2,897
Software customers at March 31, 2026

Why did revenue decline while ARR increased?

The quarter ended March 31, 2026 showed a business transitioning between revenue pools. Total revenue fell because Talent Acquisition and Managed Services were weaker, while ARR rose as consumption-based activity expanded. Software Products & Services revenue declined 4.6% year over year to $13.8 million; Managed Services fell 19.2% to $6.4 million. Management said software excluding Veritone Hire was approximately flat, which means the emerging public-sector and data-refinery businesses had not yet converted enough pipeline to offset hiring-market pressure.

Q1 2026 metric Reported value Interpretation
GAAP gross profit $12.4M Down 9.4% year over year, broadly tracking revenue.
Operating loss $(19.4)M Still nearly equal to quarterly revenue, despite lower operating expenses.
Net loss and diluted EPS $(19.5)M / $(0.21) Loss remains substantial; per-share comparison is affected by a much larger share count.
Operating cash flow $(11.5)M Improved from $(17.0)M in Q1 2025 but continued to consume liquidity.
Capital expenditures $0.5M Low physical capital intensity; cash burn is mainly operating rather than plant-driven.
Total new bookings $16.0M Forward indicator, but excludes variable usage and does not guarantee revenue realization.
Annual baseline — FY2025
$92.2M revenue
Nearly flat versus FY2024, while software grew and managed services contracted.
Management outlook — FY2026
$130M–$145M
Requires a sharp acceleration from VDR, public sector, and enterprise deployments after Q1 2026.
61.4%
GAAP gross margin for Q1 2026. The margin improved slightly from 61.1% in Q1 2025 because of mix, but gross margin alone cannot absorb the current sales, R&D, G&A, and amortization burden.

The Q1 2026 earnings release also reported gross revenue retention above 90% and a qualified VDR bookings and near-term pipeline above $68 million. Those are encouraging demand signals, but pipeline is not recognized revenue and can include cancellable periods and estimates.

Which turning points shaped Veritone’s current strategy?

Veritone’s present model is the result of expansion, acquisition, divestiture, and repeated financing. The strategic thread is a move away from a broad collection of AI-adjacent operations toward an enterprise platform focused on regulated workflows, licensed content, talent technology, and AI-ready data.

  1. 2014
    The company was founded and began building aiWARE as an orchestration layer for multiple machine-learning models rather than one proprietary model.
  2. 2021
    Veritone acquired PandoLogic, adding programmatic recruitment advertising and materially increasing exposure to hiring cycles.
  3. 2023
    The Broadbean acquisition added global recruitment SaaS, applicant-tracking integrations, and job-board distribution; the same year, Veritone sold its energy solutions group.
  4. 2024
    The divestiture of Veritone One for consideration of up to $104 million removed a large advertising-agency operation and sharpened the enterprise-AI focus.
  5. 2025
    Equity issuance supplied the cash to repay the senior term loan and repurchase about half of the convertible notes, but greatly increased shares outstanding.
  6. 2026
    A multi-year Oracle agreement made OCI a preferred infrastructure provider for aiWARE, VDR, and the Data Marketplace, emphasizing scalable and sovereign deployment.
  7. 2026
    Public-sector contracts and collaborations expanded, including California Highway Patrol redaction and participation in the U.S. Department of Energy’s Genesis Mission Consortium.

What did the portfolio reshaping change?

The divestitures reduced strategic distraction but did not immediately create profitability. At December 31, 2025, Veritone carried $54.3 million of goodwill and $38.6 million of net finite-lived intangibles. That explains why depreciation and amortization remains unusually large relative to revenue.

Why do data refining and public sector define the growth case?

The strongest strategic proposition is that enterprises and government agencies have large, sensitive, unstructured archives that are difficult to search, govern, or use for AI. Veritone can combine content rights, workflow software, model orchestration, deployment flexibility, and domain applications. VDR converts licensed media into training datasets; iDEMS processes evidence; aiWARE Anywhere supports private, cloud, and on-premise deployment. These capabilities become more valuable when customers require data provenance, security, sovereignty, and auditability.

ARR progression — quarter-end values
$58.7MMar 2025
$61.9MJun 2025
$63.9MSep 2025
$62.7MDec 2025
$64.2MMar 2026
Takeaway: ARR reached a new high at March 31, 2026, but the mix changed. SaaS ARR was $47.4 million and consumption ARR was $16.8 million, making future revenue somewhat more variable.

What evidence supports public-sector traction?

The company has highlighted deployments with defense and public-safety organizations, including a live Defense Logistics Agency implementation and planned expansion with Air Force investigative operations. In June 2026, the California Highway Patrol contract expanded the use of Veritone Redact for video, audio, and image evidence. In July 2026, Veritone joined the Genesis Mission Consortium, creating a framework to explore AI-ready data and research workflows for the Department of Energy.

VDR conversion
Track how much of the above-$68M Q1 2026 qualified bookings and near-term pipeline becomes recognized revenue and cash.
Public-sector expansion
Watch contract scope, deployment timing, agency renewals, and whether pilot programs become department-wide implementations.
Oracle deployment economics
The Oracle agreement could improve reach and security, but infrastructure commitments must be matched by customer usage.

What gives Veritone an advantage, and who competes with it?

Veritone’s differentiation is not a foundation model. It is the ability to coordinate many models, ingest multiple media types, embed applications into regulated workflows, support multiple deployment environments, and connect content rights with AI use. That can create switching costs once evidence repositories, metadata, redaction rules, licensing catalogs, or recruiting workflows are integrated.

Deployment flexibilityStrong
Vertical workflow depthStrong
Scale and balance sheetLimited
Recurring revenue visibilityModerate

Which competitors create the most pressure?

Competitive category Examples named in filings Pressure on Veritone Veritone response
Hyperscale cloud AI Microsoft Azure, Amazon Web Services, IBM Cloud Greater engineering resources, distribution, brand recognition, and ability to bundle APIs. Model-agnostic orchestration, vertical apps, and partnerships rather than direct infrastructure competition.
Vertical point solutions Specialists in evidence, redaction, recruiting, or media asset management Can deliver a simpler product for one use case and compete aggressively on price. Broader workflow coverage across search, analysis, redaction, licensing, and deployment.
Systems integrators Firms that assemble third-party models and cloud services May own the customer relationship and treat aiWARE as replaceable middleware. APIs, low-code tools, and industry applications that shorten implementation time.
In-house development Large enterprises and agencies building internal AI stacks Customers may substitute internal tools if open-source models lower development cost. Governance, rights management, secure deployment, and maintained production workflows.
Veritone’s strategic test is whether workflow integration and governed data can create durable switching costs before larger platforms commoditize the underlying AI capabilities.

How financially strong is Veritone?

Financial strength is the company’s central constraint. Veritone has improved its cost base and reduced debt, but it remains loss-making and cash-consuming. At March 31, 2026, cash was $15.1 million, current liabilities were $96.3 million, and current assets were $50.5 million, producing a $45.8 million working-capital deficit. Convertible notes had a carrying value of $45.4 million and mature in November 2026. The Q1 2026 Form 10-Q retained substantial-doubt going-concern language.

What does the balance sheet imply?

Metric March 31, 2026 December 31, 2025 Research implication
Cash and cash equivalents $15.1M $27.4M Quarterly cash decline shows limited room for continued burn without conversion, refinancing, or new capital.
Accounts receivable, net $26.7M $36.8M Collections supported Q1 cash flow, but receivables remain a major liquidity asset.
Deferred revenue $13.2M $12.3M A modest contracted-revenue buffer, not enough by itself to solve the cash requirement.
Convertible notes, current $45.4M $45.3M Near-term maturity creates refinancing, repayment, conversion, or dilution risk.
Stockholders’ equity $49.0M $68.1M Declined with the quarterly loss despite prior equity issuance.

Is the cost structure improving?

FY2025 revenue was $92.2 million, while operating loss was $81.3 million and net loss was $111.7 million. R&D fell to $20.7 million from $26.8 million in FY2024, and G&A fell to $53.3 million from $58.4 million, but sales and marketing rose to $42.7 million. Operating cash use improved to $53.2 million from $59.3 million. Capital expenditures were $5.0 million, so an approximate cash-flow measure of operating cash flow minus capex was negative $58.2 million for FY2025.

$92.2M
FY2025 revenue base
$(81.3)M
FY2025 operating loss after the full expense structure
$(53.2)M
FY2025 operating cash flow from continuing operations
$(58.2)M
FY2025 operating cash flow minus $5.0M capex

Who owns Veritone stock, and why does governance matter?

Veritone has one common share class and no founder super-voting structure. Control is therefore influenced by beneficial ownership, board composition, capital needs, and equity-plan approvals rather than dual-class voting. The 2026 proxy reported 92.95 million common shares outstanding at April 21, 2026. Ryan Steelberg, co-founder, president, CEO, and chairman, beneficially owned 6.20 million shares, including exercisable options.

Holder or group Beneficial ownership Share of class Why it matters
Esousa Group Holdings and affiliate 9.93M shares 9.99% Largest disclosed 5% holder in the May 2026 proxy and a participant in prior equity financings.
Ryan Steelberg 6.20M shares 6.47% Meaningful founder alignment, though much of beneficial ownership includes options and affiliated entities.
All directors and executive officers 7.10M shares 7.37% Insiders influence strategy but do not control a majority of votes.

How do board structure and new share authorization affect investors?

Board structure — 2026 proxy
6 directors
A classified board with three staggered classes; the CEO also serves as chairman, and there is no lead independent director.
Authorized shares — July 2026
225.0M
Increased from 150.0M, giving financing and compensation flexibility but increasing potential dilution capacity.

The 2026 proxy statement also proposed strategic CEO awards, later approved by stockholders. In July 2026, Steelberg received 925,000 time-based restricted stock units and 925,000 performance stock units tied to stock-price milestones. Separately, the July 2026 Form 8-K confirmed the authorized-share increase and a 3.0 million-share expansion of the equity plan. Governance analysis should therefore focus on incentive design, dilution, capital access, and the combined CEO-chair role.

What risks and KPIs should researchers monitor?

Veritone’s risks are interconnected. Slow contract conversion prolongs cash burn; cash burn increases financing needs; financing can dilute shareholders; dilution can make per-share progress lag operating progress.

Risk Financial line affected Company-specific evidence What to monitor
Liquidity and refinancing Cash, interest, debt, share count Going-concern disclosure and November 2026 convertible-note maturity. Cash runway, financing terms, debt repayment, and quarterly operating cash use.
Pipeline conversion Revenue, receivables, deferred revenue VDR and public-sector pipelines include estimated fees and may contain cancellable periods. Recognized VDR revenue, bookings-to-revenue conversion, and collection timing.
Talent-market weakness Software revenue and customer count Q1 2026 software decline was driven principally by Talent Acquisition. Customer count, Hire revenue, agency churn, and recruiting-demand recovery.
Technology commoditization Pricing, gross margin, R&D Cloud platforms, open-source models, vertical vendors, and in-house tools can substitute for parts of aiWARE. Retention, usage growth, integration depth, and model-provider economics.
Regulation and data rights Revenue, legal cost, deployment timing Facial-recognition restrictions, privacy transfer rules, content provenance, and government security requirements. FedRAMP status, procurement delays, privacy rules, and licensing disputes.
Financial reporting controls Revenue credibility and audit cost Material weaknesses remained unremediated at March 31, 2026, including revenue-recognition controls. Remediation milestones, restatements, auditor communications, and filing timeliness.

Which operating metrics best explain progress?

ARR mix
Separate SaaS ARR from consumption ARR. SaaS offers visibility; consumption can grow faster but is less predictable.
Gross revenue retention
Above 90% at March 31, 2026; sustained retention indicates embedded workflows despite customer-count decline.
Software customers
Fell from 3,156 at March 31, 2025 to 2,897 at March 31, 2026. Watch whether pruning small hiring accounts improves revenue quality.
Operating cash use
The most important survival metric until debt is resolved and the company approaches sustainable scale.
Share count
Weighted-average shares nearly doubled year over year in Q1 2026, so per-share value depends on growth exceeding dilution.
Public-sector deployment
Count contract expansions, go-live milestones, renewal rates, and multi-agency adoption rather than announcements alone.

Why does Veritone’s business model matter for valuation?

A conventional DCF is unusually sensitive for Veritone because near-term cash flows are negative, debt maturity is close, and future revenue may be lumpy. A useful valuation model should separate recurring SaaS, consumption-based VDR, public-sector deployments, and managed services rather than apply one growth rate to total revenue. It should also model dilution explicitly, because equity issuance has been an operating necessity rather than a discretionary capital-return decision.

Which assumptions drive intrinsic value?

Valuation driver Current evidence Bullish interpretation Pressure case
Revenue conversion FY2026 guidance of $130M–$145M after $20.3M in Q1 2026 Back-half VDR and public-sector deployments produce a step-change in revenue. Pipeline timing slips and guidance requires revision.
Gross margin 61.4% GAAP in Q1 2026 Higher software and data mix supports operating leverage. Royalties, cloud cost, services, and implementation constrain margin expansion.
Operating leverage Q1 2026 operating expenses were $39.7M Cost reductions hold while revenue scales. Sales, security, infrastructure, and compliance investment rise with growth.
Financing and dilution $15.1M cash and $45.4M current convertible notes at March 31, 2026 Debt is refinanced on manageable terms and cash burn declines quickly. Additional equity or expensive capital transfers value from existing holders.
Terminal durability Domain apps, rights relationships, and multi-model orchestration Embedded workflows create lasting switching costs. Cloud vendors and open tools commoditize orchestration and pressure pricing.

What is the key takeaway from Veritone analysis?

Veritone matters because it sits at the intersection of unstructured data, content rights, enterprise AI, public-sector evidence, and recruitment technology. Its platform has credible use cases and recent commercial validation, including the Oracle infrastructure agreement, public-safety deployments, hyperscaler relationships, and renewed licensing arrangements such as the multi-year Pac-12 renewal. Yet the company’s strategic opportunity and financial condition cannot be separated.

Final synthesis
The central question is not whether Veritone can win interesting AI contracts; it is whether those contracts can convert quickly enough, at sufficient gross margin and cash efficiency, to resolve the November 2026 debt maturity without excessive dilution. Students and researchers should track VDR conversion, public-sector go-lives, ARR mix, customer retention, operating cash use, control remediation, and fully diluted shares. Success would transform Veritone from a financing-dependent collection of AI assets into a scalable workflow and data platform. Failure would leave valuable technology constrained by liquidity, execution complexity, and stronger competitors.

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