Mind Over Media

Cover Block

PUBLIC

Name	Mind Over Media
Tagline	AI platform guiding customer journeys and closing sales for digital commerce and media brands.
Headquarters	Los Angeles, United States
Stage	Seed
Business Model	B2B
Industry	Media / Entertainment
Technology	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (2)
Funding Label	Pre-Seed

Links

PUBLIC

• Website: https://www.mindovermedia.ai
• LinkedIn: https://www.linkedin.com/company/mind-over-media

Executive Summary

PUBLIC

Mind Over Media is an early-stage enterprise AI platform attempting to unify customer engagement for digital commerce and media brands, a bet that hinges on proprietary data from millions of interactions to build a defensible growth loop [mindovermedia.ai, retrieved 2024]. The company's proposition centers on using AI agents to guide the entire customer journey, from initial contact to closed sale, across all digital channels, with a stated focus on the sports, media, and entertainment verticals [The FutureList, 2024].

Founded by Andy Anderson and Jamie Parker, the company presents as a venture-scale startup, though its founding year and the founders' detailed professional histories prior to this venture are not publicly documented. Anderson is identified as CEO and Parker as Chief Product Officer across several sources, including a dedicated Q&A profile and professional networking sites [The FutureList, 2024] [LinkedIn, retrieved 2026].

The core product, described as a Work Intelligence Network (WIN), is marketed as a self-optimizing system that turns customer interactions into a permanent strategic asset, aiming to solve fragmentation and inefficiency in how large entertainment and commerce companies manage audience relationships [nouvacompany.com, retrieved 2026] [prnewswire.com, 2024]. Public information on funding is absent; no seed rounds, investors, or valuations are disclosed in credible databases or press, placing the company in a pre-seed, capital-seeking posture [Crunchbase, retrieved 2024].

Over the next 12-18 months, the critical watchpoints are the transition from marketing vision to named enterprise customer deployments, the articulation of a clear pricing and business model, and any initial institutional capital raise that would provide external validation of the team's ability to execute. The company's ability to distinguish its AI platform from similarly named, long-established marketing agencies will also be a test of its market positioning.

Data Accuracy: YELLOW -- Core company description and founder roles are confirmed by multiple sources; key commercial facts (funding, customers, founding date) lack independent verification.

Taxonomy Snapshot

Axis	Classification
Stage	Seed
Business Model	B2B
Industry / Vertical	Media / Entertainment
Technology Type	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (2)
Funding	Pre-Seed

Company Overview

PUBLIC

Mind Over Media operates as an enterprise AI platform for digital commerce and media brands, though its founding date and early corporate history are not detailed in public records. The company's website and public profiles position it as a provider of AI-as-a-Service solutions specifically for the sports, media, and entertainment industries, aiming to unify customer data and automate engagement [mindovermedia.ai, retrieved 2024]. Its headquarters are listed in Los Angeles, United States [Crunchbase, retrieved 2024].

Public milestones are limited to the company's public positioning and a single announced partnership. A 2024 press release details a collaboration with DeepTrust to address deepfake detection in entertainment, marking one of the few externally verifiable business developments [prnewswire.com, 2024]. The company was also profiled in a Q&A format that same year, where co-founder Andy Anderson discussed its enterprise AI vision for transforming operations and consumer experiences in its target sectors [The FutureList, 2024].

Data Accuracy: YELLOW -- Company details and a partnership are confirmed by primary sources, but foundational corporate history is absent from public filings or dated coverage.

Product and Technology

MIXED

Mind Over Media's platform is described as an enterprise-grade AI system designed to manage the entire customer lifecycle for digital commerce and media brands. The core proposition is a unified AI that guides individualized customer journeys at scale, aiming to nurture relationships and close sales across every channel [mindovermedia.ai, retrieved 2024]. The company frames this not as a point solution but as a connected digital workforce, a strategic asset that builds defensibility by learning from millions of one-to-one interactions [mindovermedia.ai, retrieved 2024].

Public materials detail two primary components. The first is a suite of AI agents intended to transform both internal operations and external consumer experiences, interacting seamlessly across platforms to automate tasks and boost productivity [The FutureList, 2024] [prnewswire.com, 2024]. The second is a proprietary Work Intelligence Network (WIN) and an associated AI Pilot Program, which are presented as the operational engines that empower organizations to unlock new efficiencies and scale intelligently [nouvacompany.com, retrieved 2026]. The platform's stated expertise spans rights management, product development, marketing, distribution, and licensing, suggesting a focus on the complex workflows endemic to sports, media, and entertainment [mindovermedia.ai, retrieved 2024].

Data Accuracy: YELLOW -- Product claims are sourced from the company's own website and a limited number of third-party profiles; no independent technical reviews or detailed case studies are available.

Market Research

PUBLIC

The market for enterprise AI in media and entertainment is defined by a persistent need to monetize fragmented digital audiences, a dynamic that creates a clear opening for platforms that can personalize engagement at scale. While Mind Over Media's specific target market is not quantified in public sources, its focus on sports, media, and entertainment digital commerce aligns with several large, adjacent sectors where third-party research points to significant spending on customer experience and operational automation.

Demand is driven by the industry's shift to direct-to-consumer models, which requires rights holders and content creators to build and sustain 1:1 relationships without the intermediation of traditional distributors. A 2024 report from PwC on the entertainment and media outlook highlights the strategic priority of using data and AI to enhance customer lifetime value and optimize marketing spend across owned channels [PwC, 2024]. This tailwind is compounded by the operational complexity these companies face, managing licensing, merchandising, and subscription services across a proliferating number of digital touchpoints.

Key adjacent markets include the broader marketing automation and CRM software sector, which research firm Gartner estimated at approximately $25 billion in 2023 (estimated), and the more specific customer data platform (CDP) market, projected by MarketsandMarkets to grow to over $5 billion by 2026 [Gartner, 2023] [MarketsandMarkets, 2022]. Mind Over Media's proposition to unify engagement and commerce suggests it competes for budget within these established categories while specializing for a vertical with unique content and rights management workflows.

Regulatory forces, particularly around data privacy (GDPR, CCPA) and the evolving governance of AI, present a macro consideration. The company's cited focus on a "proprietary Work Intelligence Network" suggests an architectural approach that may need to demonstrate compliance by design, especially if handling fan data across global regions [nouvacompany.com, retrieved 2026]. No specific regulatory challenges or endorsements are cited in available materials.

Marketing Automation Software (2023) | 25000 | $M (estimated)
Customer Data Platform Market (2026) | 5200 | $M (estimated)

The available sizing data, while analogous, underscores the substantial budget pools adjacent to Mind Over Media's vertical focus. The company's wedge appears to be capturing a slice of marketing automation and CDP spend specifically within media enterprises, where personalization is directly tied to content consumption and merchandise sales.

Data Accuracy: YELLOW -- Market sizing is drawn from analogous, broad-sector reports, not specific to the company's defined vertical. Demand drivers are inferred from general industry analysis.

Competitive Landscape

MIXED Mind Over Media enters a market defined by a crowded spectrum of AI-powered customer engagement and sales automation tools, positioning itself with a specific focus on the workflows and data structures of sports, media, and entertainment brands.

Given the absence of named competitors in the public record, a formal comparison table is not possible. The competitive analysis must therefore be drawn from the company's stated positioning and the broader market structure.

The competitive map for AI-driven customer journey orchestration is dense and layered. At the enterprise incumbent level, platforms like Salesforce (Marketing Cloud, Einstein) and Adobe (Experience Cloud) offer deeply integrated marketing automation and analytics suites that are table stakes for large media organizations. These players compete on ecosystem lock-in and breadth of functionality. A tier of challengers, including Klaviyo for commerce and Braze for mobile engagement, have carved out strong positions by excelling in specific channels or verticals. Mind Over Media's stated wedge, however, appears to be less about a single channel and more about a proprietary methodology for building a "self-optimizing growth loop" from customer interactions across all channels [mindovermedia.ai, retrieved 2024]. This places it adjacent to newer entrants in the AI agent space that promise to automate complex, multi-step workflows, though few have publicly declared a specialization in media rights management and licensing as part of their core expertise [mindovermedia.ai, retrieved 2024].

The company's claimed defensible edge rests on two pillars: proprietary data and vertical specialization. The platform asserts it uses "insights from millions of 1:1 interactions" to create a defensible moat [mindovermedia.ai, retrieved 2024]. This data asset, if exclusive and continuously refreshed, could theoretically allow its AI models to better predict and guide customer behavior within its target verticals than a horizontal platform. The second edge is the integrated focus on the operational stack of media companies, spanning "rights management, innovative product development, marketing, distribution, and licensing" [mindovermedia.ai, retrieved 2024]. This is a perishable edge, however. It depends entirely on securing initial lighthouse customers in the vertical to validate the integrated approach and generate the unique workflow data. Without demonstrated deployments, the edge remains a claim rather than an asset.

Mind Over Media's most significant exposure is its lack of a clear distribution channel against well-funded incumbents. A company like Salesforce not only has an existing enterprise sales force and massive installed base but also the capital to acquire or build competing vertical-specific AI capabilities. Furthermore, the company is exposed to competition from below by more focused, point-solution AI startups that could achieve faster adoption by solving a single acute pain point (e.g., AI for content licensing negotiation) before expanding their scope. The company's website and press materials do not name a single customer, which leaves its go-to-market motion and early traction entirely unverified [PUBLIC]. This creates a vulnerability where a competitor with similar technology but a published case study could more easily capture the attention of the same target buyers.

The most plausible 18-month competitive scenario hinges on proof of concept. If Mind Over Media can secure and publicly reference a partnership with a notable sports league or media conglomerate, it would validate its vertical integration thesis and likely attract seed funding to scale. The "winner" in this scenario would be a company that successfully bundles AI-driven customer engagement with back-office media operations, creating a sticky, high-value platform. Conversely, the "loser" would be a company that remains in stealth or fails to move beyond generic marketing claims. In a market where buyers are inundated with AI pitches, a failure to demonstrate specific, measurable value for a named customer within the next year would likely see the company outpaced by rivals with clearer traction, regardless of the sophistication of its underlying technology.

Data Accuracy: YELLOW -- Competitive positioning is inferred from company marketing materials; no named competitors or direct market share data is publicly available.

Opportunity

PUBLIC

If the platform can successfully unify customer data and automate engagement for the fragmented sports and media sector, the prize is a foundational layer in a multi-billion dollar enterprise AI segment that currently lacks a clear leader.

The headline opportunity is to become the category-defining AI operating system for direct-to-consumer monetization in sports, media, and entertainment. The company's public positioning frames the goal not as a point solution but as a connected digital workforce that transforms internal operations and external consumer experiences [prnewswire.com, 2024]. This outcome is reachable because the wedge is specific: the cited expertise in rights management, product development, and licensing [mindovermedia.ai, retrieved 2024] targets complex, high-value workflows that generic CRM or marketing automation platforms do not address. A platform that can demonstrably close sales and nurture relationships across every channel for digital commerce brands [mindovermedia.ai, retrieved 2024] would command premium pricing and deep integration, moving from a vendor to a strategic partner.

Growth would likely follow one of several concrete paths, each hinging on a specific catalyst.

Scenario	What happens	Catalyst	Why it's plausible
Strategic Partnership with a Major League	The AI platform becomes the exclusive fan engagement and monetization engine for a major sports league, embedding into its digital properties and data streams.	A pilot program or proof-of-concept with a single team or property, demonstrating ROI on fan lifetime value.	The company explicitly targets the sports industry and frames its AI as a solution for fragmentation and missed growth [The FutureList, 2024]. Industry-wide digitization pushes create demand for unified platforms.
Acquisition by a Media Conglomerate	A large media or entertainment holding company acquires Mind Over Media to own the AI layer for its portfolio of brands, accelerating its own digital transformation.	The platform proves its Work Intelligence Network (WIN) can deliver operational efficiencies and scale intelligently across multiple, disparate business units [nouvacompany.com, retrieved 2026].	Media conglomerates have a history of acquiring enabling technology to control key consumer touchpoints. The "holding company" language in some external references, while unconfirmed, hints at a structure potentially attractive to such buyers.

Compounding for this model would stem from a proprietary data moat that improves with each customer interaction. The company claims its AI builds a self-optimizing growth loop and turns every interaction into a permanent strategic asset [mindovermedia.ai, retrieved 2024]. In practice, this suggests a flywheel where more brand deployments generate more 1:1 interaction data, which refines the proprietary AI's models for personalization and conversion, which in turn increases effectiveness for all customers and raises barriers for competitors. The explicit mention of using insights from millions of interactions to create defensibility [mindovermedia.ai, retrieved 2024] is a direct, if early, articulation of this intended compounding effect.

The size of the win can be framed by looking at comparable infrastructure providers in adjacent verticals. For instance, companies that provide customer data platforms (CDPs) or marketing automation for specific industries often trade at significant revenue multiples due to their strategic positioning and growth profiles. While no direct public comparable exists for a sports and media-specific AI OS, a successful execution of the strategic partnership scenario could position the company for an acquisition valuation in the high hundreds of millions, based on precedent for niche marketing technology platforms with proven enterprise contracts. This is a scenario-specific outcome, not a forecast, and hinges entirely on moving from marketing claims to validated, scaled deployments.

Data Accuracy: YELLOW -- Opportunity analysis is based on company claims and industry structure; specific catalysts and comparables are illustrative due to lack of public traction data.

Sources

PUBLIC

1. [mindovermedia.ai, retrieved 2024] About Us | Leading Entertainment Solutions - Mind Over Media | https://www.mindovermedia.ai/about

2. [The FutureList, 2024] Q&A With Andy Anderson: Discussing Mind over Media's Enterprise AI Solution - The FutureList - Step into the Future | https://www.thefuturelist.com/qa-andy-anderson-discussing-mind-over-media-enterprise-ai-solution/

3. [LinkedIn, retrieved 2026] Andy Anderson - Mind Over Media | LinkedIn | https://www.linkedin.com/in/mrandyanderson/

4. [nouvacompany.com, retrieved 2026] Mind Over Media | Home | https://www.mindovermedia.ai

5. [prnewswire.com, 2024] Mind Over Media and DeepTrust Team Up to Fight Deepfakes in Entertainment | https://www.prnewswire.com/news-releases/mind-over-media-and-deeptrust-team-up-to-fight-deepfakes-in-entertainment-302271023.html

6. [Crunchbase, retrieved 2024] Mind Over Media - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/mind-over-media

7. [PwC, 2024] Global Entertainment & Media Outlook 2024-2028 | https://www.pwc.com/gx/en/industries/tmt/media/outlook.html

8. [Gartner, 2023] Gartner Forecasts Worldwide Marketing Automation Software Spending to Reach $25.1 Billion in 2023 | https://www.gartner.com/en/newsroom/press-releases/2023-08-22-gartner-forecasts-worldwide-marketing-automation-software-spending-to-reach-25-1-billion-in-2023

9. [MarketsandMarkets, 2022] Customer Data Platform Market by Component, Application, Deployment Mode, Organization Size, Vertical and Region - Global Forecast to 2026 | https://www.marketsandmarkets.com/Market-Reports/customer-data-platform-market-94223554.html