From AT&T enterprise AI to Intel global launches to Coca-Cola experiential campaigns. The same methodology now powers every Production Soup engagement.
A selection of campaigns, platforms, and technical storytelling built for brands that can't afford to move slow.
Multi-format campaign delivery for AT&T Business. Nineteen finished films across day, night, and social crops — shot, color-managed, and delivered on sign-off timelines for Fortune-scale teams.
Global brand campaign and digital asset suite. On-location production and post turned into a content package that traveled across Coca-Cola's worldwide markets without losing a single shade of red.
Bridged emerging tech with traditional media through strategic partnerships with History Channel and five major networks. Launched the RefilUSA sustainability initiative and drove a 25% brand exposure lift through cross-industry integration.
Four-country brand film program — Tokyo, Sydney, Mexico City, and the flagship launch. Translated Intel's deepest technical capabilities into consumer-facing film where “complex” had to feel effortless.
Global brand campaign shot across India, Dubai, and feature pieces with Alicia Keys, John Legend, and K'Naan. Seven finished films that had to carry the same emotional weight on every continent.
Music video and behind-the-scenes production with will.i.am and The Black Eyed Peas — London sessions, Don't Stop The Party, Just Can't Get Enough, and This Is Love. Artist work at the tempo of a touring schedule.
Challenge, approach, results, and takeaway — the same framework used in every Production Soup brief.
AT&T was rolling out AI-driven technology platforms across multiple business units. The complexity was enormous: enterprise stakeholders needed to understand what the technology did, why it mattered, and how it would change their workflows. Technical documentation alone wasn't cutting it. The gap between engineering capability and organizational understanding was widening with every release cycle.
Daniel led creative production that translated complex AI systems into clear, actionable communication for both internal teams and external stakeholders.
Enterprise AI is a communication problem as much as a technology problem. The production methodology developed at AT&T — translating complex technology into clear, multi-audience creative — became the operational backbone of Production Soup.
Intel was launching the Ultrabook across four international markets simultaneously: Tokyo, Sydney, Mexico City, and the United States. Each market had distinct cultural expectations, media consumption habits, and retail environments. The brand narrative needed to feel unified globally while resonating locally.
Working through 3D Systems, Daniel produced the global launch campaign with a hub-and-spoke production model: core creative developed centrally, then localized through market-specific production teams.
Global doesn't mean bloated. The Intel Ultrabook launch proved that a focused production team can coordinate international campaigns without the overhead of a multinational agency network.
Coca-Cola's Millennial Trains Project was an experiential initiative: a cross-country train journey featuring young entrepreneurs. The challenge was capturing authentic, unscripted experiences in real time across multiple locations, then translating that into polished brand content for social, web, and event platforms.
Daniel produced video content and experiential campaign assets that balanced documentary authenticity with brand storytelling requirements.
Experiential content is a production problem, not a creative brief problem. When the experience is happening in real time, you can't reshoot. The production infrastructure needs to be embedded, fast, and adaptable.
AT&T, Intel, and Coca-Cola are different industries with different objectives. But the production challenges were structurally identical: complex projects, compressed timelines, multiple stakeholders, and the need for creative that actually communicates rather than just looks good.
That pattern — enterprise complexity solved by production methodology — is exactly what Production Soup delivers today. The scale changed. The approach didn't.
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