The Hallstone Thesis

AI infrastructure for MediaTech and AdTech built by operators who know the stack.

The Starting Point

$3.5T

Global entertainment and media economy

The full scope of how the world creates, distributes, and monetizes media. Most of it is not venture-investable — it is content, talent, and distribution deals. We start here only to size where the addressable slice actually sits.

Where It Narrows

$150B+

The three infrastructure layers we can size against published comparables

~$55–60B

Creator infrastructure

~$68–80B

AdTech & monetization rails

~$13–14B

Frontier media infrastructure

The Imbalance

Beyond faster production: the systems that turn attention into value.

The Factory Floor

Efficiency gains

Planning, production, localization, versioning, cost, and time.

Production efficiency matters. Durable value comes from owning a workflow, not simply making output cheaper.

The Storefront

Our focus

Discovery, recommendations, advertising, and conversion.

Our emphasis is on the infrastructure that connects content to audiences and turns attention into revenue.

We favor infrastructure that drives discovery, monetization, and customer value over tools focused only on cheaper production.

The Point

The most economically powerful AI in media may not be the system that generates the frame. It may be the system that decides who sees the frame, and how that attention gets monetized.

Across all four focus areas, we look for infrastructure that becomes part of how an industry operates: clear buyers, lasting workflow value, and room to scale. Our emphasis is on how media reaches audiences and creates economic value.

Where We Invest

We back the systems that connect AI capability to real media workflows, customers, and revenue.

Where Hallstone invests

Four areas · Select to explore

The industry infrastructure layer

Why Hallstone

We pair sector-focused investing with approximately 70 domain-expert LPs, including CTOs and technology leaders from studios, agencies, and big tech. We match founder needs with relevant operator expertise to inform diligence, test buyer assumptions, and support introductions where there is mutual fit.

How we work with founders →

What We Avoid

Discipline is part of the thesis. We define what we will not do as clearly as what we will. These exclusions are not negotiable.

The Hallstone No List

Most funds tell you what they invest in. Few will tell you what they won't.

01

Film, TV & game content slates

Hit-driven content risk, not infrastructure

02

Markets without venture-scale headroom

A great business can still be the wrong fit for a fund

03

IP or royalty speculation

Uncontrolled rights risk

04

Services without software margins

No path to 65%+ gross margin

05

Unclear buyer or budget

GTM is not a strategy

06

Unmanaged IP/consent risk

Compliance kills scale

07

LLM wrappers without a moat

No proprietary data or workflow lock‑in

08

Zero unit economics insight

No CAC, payback, margins, or retention data

Building AI infrastructure for media, entertainment, or advertising?

For Founders