Demand-Side Programmatic Media Buying · AdTech Vendor
Cognitiv
AI-native adtech platform for programmatic buying and targeting.
Available information varies by company and source.
Profile record updated:
Company facts
- Entity type
- COMPANY
- Founded
- 2015
- Headquarters
- 215 Park Ave S, Floor 16, New York, NY 10003, USA
- Company size
- 50–200
- Market cluster / sector
- Demand-Side Programmatic Media Buying
- Market role
- AdTech Vendor
- Official website
- cognitiv.ai
What Cognitiv does
Cognitiv operates a B2B adtech model built around proprietary predictive modelling and programmatic execution. It creates value by embedding deep learning into campaign planning, audience construction, contextual targeting, inventory curation and bid optimisation, then commercialising those capabilities either through its own DSP or through DSP-agnostic activation products. This allows buyers to use Cognitiv as both a media buying platform and a modelling layer that enhances external buying workflows.
Category differentiation
Cognitiv is an adtech vendor focused on programmatic buying, targeting and optimisation; it is not a general cognitive computing consultancy or a foundational LLM infrastructure provider. Its AI is applied to advertising workflows rather than sold as a standalone model platform.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
Cognitiv is a private US advertising technology company that sells programmatic buying and activation software to advertisers, agencies and programmatic media teams. Its core offering is a proprietary deep learning advertising platform that underpins a DSP, contextual targeting tools, audience generation products and CTV performance solutions. The company is positioned as an adtech vendor rather than a foundational AI model provider, using machine learning to improve bidding, targeting and media activation across channels. Cognitiv makes money through a hybrid of platform access and campaign-linked media monetisation. When clients buy through its DSP or CTV products, revenue is tied to media spend via take-rates and platform fees; when clients use its modelling and activation products within external DSPs, revenue comes from software access, activation fees and managed-service style support. Its direct customers are business buyers, especially enterprise marketers, agencies and trading desks.
Company news briefing
Briefing updated:
Cognitiv continues to advance its AudienceGPT platform and machine-learning models, as highlighted by Fanatics Betting & Gaming achieving a projected 19% increase in customer lifetime value through value-optimised connected TV campaigns. CEO Jeremy Fain has further emphasised the application of deep learning and big data to predict creative performance and drive targeting efficiency. These technical developments are supported by recent case studies and content detailing smarter targeting methodologies across digital channels.
Business model & monetisation
Cognitiv primarily monetises through a hybrid model: percentage take-rates on media spend for campaigns executed through its DSP and performance advertising products; software or platform fees for access to proprietary deep learning, audience and contextual targeting products; and managed-service or activation fees where Cognitiv’s models are deployed within third-party DSP workflows. The commercial structure appears closest to a mix of SaaS subscription, media-linked platform fees and service-led activation support.
- DSP media buying
- Percentage take-rate on media spend
- Audience and contextual targeting products
- SaaS / software access fees
- DSP-agnostic curation and activation
- Platform fee plus activation fee
- Managed service support
- Service fee / retainer
Products & capabilities
No products with linked sources are available in this view.
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Competitors & alternatives
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AI-powered DSP for open web, in-app and CTV buying.
Programmatic ad tech stack with software, trading and consulting.
Programmatic adtech platform for media buying, targeting, and publisher monetisation.
Independent programmatic trading desk with a proprietary DSP.
Programmatic advertising platform for automated media buying and optimisation.
Side-by-side comparisons
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
Cognitiv Publishes New Blog Posts on CTV Targeting and Fanatics Case Study
Recorded impact score: 5/5
New blog posts added: 'The Three Pillars of Smarter CTV Targeting' (Sept 15, 2026) and 'Fanatics Betting & Gaming Stopped Chasing Every Bettor' (Sept 10, 2026).
Careers & open positions
Open positions indexed from verified career portals and applicant tracking systems.
| Position | Department | Location | Posted |
|---|---|---|---|
| Associate Client Success Manager(Junior) | Client Success | New York, NY | |
| ML Data Infrastructure Engineer(Senior) | Science | San Mateo | |
| Senior Product Manager, Custom Algorithms(Senior) | Product | New York, NY | Bellevue, WA | San Mateo, CA | |
| Senior Software Engineer, Backend(Senior) | Engineering | Bellevue, WA | |
| Senior Site Reliability Engineer, AWS/Datacenter(Senior) | Engineering | Bellevue, WA |
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Questions about Cognitiv
What is Cognitiv?
Cognitiv is a private adtech company that provides programmatic buying, audience targeting, contextual targeting and CTV advertising software powered by proprietary deep learning models.
Who uses Cognitiv?
Its users are mainly advertisers, agencies, trading desks and enterprise marketing teams running programmatic campaigns across web, CTV, social, audio and mobile environments.
How does Cognitiv make money?
It earns revenue through media-spend take-rates, platform access fees and activation or managed-service fees tied to its DSP, targeting and curation products.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
15 publicly documented primary sources and citations linked across the market graph.
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