DeepSee
DeepSee is a publisher intelligence and ad quality software for programmatic buyers.
Analyst Perspective
DeepSee is a private US adtech company focused on publisher intelligence, ad quality measurement, compliance monitoring and contextual analysis for programmatic advertising. Its core product set is sold as B2B software to advertisers, agencies, DSPs, ad operations teams and other ad-tech intermediaries that need to assess publisher quality, detect low-quality or fraudulent inventory, and apply domain-level controls before or during media buying. The company generates revenue primarily from SaaS subscriptions to its publisher intelligence platform and related modules, with additional income from managed services such as programmatic strategy, market research and bespoke data integrations. Its commercial value lies in providing privacy-first, site-level and content-level signals that help customers reduce wasted media spend, improve brand safety and compliance, and make better supply-path decisions across web, in-app and CTV environments.
Analyst Signal Briefing
Updated: 18 Aug 2026DeepSee has expanded its defences against programmatic 'AI slop', with its blocklist of MFA and low-quality domains doubling year-on-year to over 243,000 entries. This data is increasingly utilised by major platforms including Index Exchange and Nexxen to combat rising MFA monetisation. Under CEO Rocky Moss, the firm has further broadened its verification capabilities through the launch of the 'Verifiable App Inventory Playbook' and new AI content flags, reinforcing its focus on supply-chain transparency across web, mobile, and CTV environments.
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Key insights about DeepSee
Category Differentiation
DeepSee is not a consumer app or a generic analytics suite. It is a B2B adtech vendor focused on publisher intelligence, ad quality, compliance and contextual supply analysis for programmatic advertising.
DeepSee: About
DeepSee operates a B2B adtech and data business built around a proprietary publisher intelligence dataset. It creates value by collecting and processing large volumes of site-level, content-level and ad-slot quality signals, then packaging those insights into software modules for risk scoring, compliance monitoring, ad quality analysis and list management. Customers use the platform to filter supply, monitor publisher quality and improve campaign decision-making. The business is supplemented by managed services that apply the same underlying data to strategy, research and technical integration work.
How DeepSee Works & Monetises
Business model analysis and core revenue streams
The primary monetisation model is enterprise SaaS subscription licensing for access to the Publisher Research Portal and associated modules such as compliance monitoring, ad-quality analytics, content insights and reporting lists. Pricing is likely contract-based and tiered by module access, data scope, seats, usage and integration requirements. Secondary revenue comes from service fees for programmatic strategy, market research, publisher quality assessments and bespoke data integrations, delivered on a project or retainer basis.
Revenue Channels
Products & Services in Categories
Verified structural categorizations from the graph
Media Channel
Technology
Service
Recent Signals (DeepSee)
The Verifiable App Inventory Playbook
Rocky Moss | August 12, 2026
Read original sourceJuly Update: Manage Your Plan, New AI Content Flags & App/CTV Research
July update covering plan management, new AI content flags, and App/CTV research findings.
Read original sourceMFA Ad Spend Rises; AI Slop May Be Factor
The ANA’s Q1 programmatic benchmark report (released May) found that the share of ANA members' ad spend going to made-for-advertising (MFA) sites rose from 0.6% in Q4 2025 to 1.1% in Q1 2026 — the first increase since 2023. The report highlights that lower-performing advertisers allocate a larger share to MFA (2.1%) versus top performers (0.9%). The ANA and industry experts point to “AI slop” — low-effort, mostly AI-generated content — as an emerging sub-type of low-quality inventory that requires ongoing mitigation. Publishers, SSPs and ad tech vendors (Index Exchange, Nexxen) say they use vetting, human audits, blocklists from vendors like Jounce and DeepSee, and onboarding delays for new sites to limit MFA monetization. Independent studies cited (Ahrefs, Graphite) suggest a rapid increase in AI-generated content online, complicating distinctions between legitimate AI-assisted publishing and spammy content farms.
Read original sourceDeepSee: Frequently Asked Questions
What is DeepSee?
DeepSee is a B2B adtech company that provides publisher intelligence, ad quality analytics, compliance monitoring and contextual analysis for programmatic media buying.
Who uses DeepSee?
Its users include advertisers, media agencies, DSPs, ad operations teams, brand safety teams, media planners and enterprise analytics teams.
How does DeepSee make money?
DeepSee makes money mainly through enterprise SaaS subscriptions for its publisher intelligence platform and through paid services such as strategy, research and data integrations.
Company Facts
- Founded
- 2019
- Headquarters
- Los Angeles, California, United States
- Core Segment
- AdTech Vendor
- Company Size
- 50–200
- Official Link
- deepsee.io