We are
Intercept

Intercept is the frontier B2B marketing agency for global technology companies. Our AI-native delivery model pairs codified agency expertise with AI-assisted workflows to make the keep-the-lights-on campaign work more efficient, freeing our clients to reallocate budget and team capacity toward the frontier innovation that redefines the buyer experience. We work with some of the largest technology companies in the world, including Microsoft, SAP, Intel, Lenovo, and Cisco.

Intercept Labs is the agency’s innovation engine and co-investment vehicle for enterprise tech clients exploring novel AI-driven marketing approaches. Labs partners with clients to prototype solutions before proving full viability, sharing the risk on experiments that need a partner. The model is built for the marketing leaders running ahead of the curve, not waiting for the category to settle.

Three things separate Intercept from legacy and generalist agencies. First, AI-native delivery: legacy agencies still sell hours and deliverables, while Intercept’s operating model is built on codified agency expertise paired with AI-assisted workflows that produce better outcomes in less time. Second, proprietary intelligence: our Watchtower platform reads 20 million individuals globally and feeds a continuous audience-intelligence loop that sharpens every campaign decision before it ships. Third, enterprise-grade execution: 95% of our work runs internationally across 20+ languages, with established privacy, legal, and procurement review processes that meet the standards of the world’s largest technology companies.

We take on the programs where marketing has to move a business number that leadership is watching. Three archetypes come up repeatedly. The first is a category shift, when a brand's market has moved and the positioning that worked five years ago no longer holds. The second is a pipeline program measured against a controlled test, where the campaign has to prove incremental deal size or revenue against a matched holdout. The third is a scale problem that AI now solves, whether personalization, versioning, or enablement work that once required an army of humans and now runs on codified AI workflows across over 20 languages.

Compliance is built into our delivery model, not handled as an afterthought. Our team works alongside each client’s privacy, legal, and procurement teams to translate what innovation means in their regulatory context, runs intake reviews on data handling and tooling, and operates agentic QA layers, codified review processes paired with AI-assisted pattern matching, to maintain consistent quality at scale. The result is that marketing leaders who bring Intercept in earn a reputation as trailblazers who protect the business, not as a risk vector to their security and procurement peers. Our public AI policy documents these standards in detail for client and procurement review. This discipline is what makes enterprise-grade AI work viable for clients in regulated industries.

Global technology companies. Named clients include Microsoft, SAP, HP, Intel, Lenovo, Cisco, AMD, Qualcomm, Logitech, Nokia, TELUS, BMC, and Staples. Roughly 90% of our work runs across international markets, and client relationships average nine years. Several of our largest programs have been running with the same buyer teams for more than a decade, which is how we developed the pattern recognition that shortens time-to-launch on new engagements.

B2B technology, as a discipline. Silicon and semiconductors, hyperscale cloud, enterprise software, networking infrastructure, OEM hardware, telecom, and channel-heavy technology categories. Our buyer is the enterprise IT, marketing, finance, or line-of-business leader who has to defend a purchasing decision inside a Fortune 100 governance model. That specificity is why our operating model is built with enterprise privacy, legal, and procurement review baked in from day one, rather than added on later.

Reach out through the contact form. Pick the enquiry type that fits (new project, Intercept Labs, partnerships, or press) and a senior member of our team responds directly. First conversation is usually a 30-minute scoping call with the strategist and technologist who would run the engagement, enough to understand the outcome you need to reach and whether we are the right partner for that shape of work. If we are, we scope a paid discovery next.

Yes. Our clients typically work with multiple agencies across brand, demand, PR, and creative production, and we integrate cleanly into that ecosystem. Where we sit is defined at the start of the engagement, usually as the lead on AI-native execution and enterprise-scale personalization, coordinating with other agencies on shared audience insight, brand guardrails, and campaign timing. We do not need to be the agency of record to do the work well. Some of our longest-running engagements sit inside multi-agency programs where each partner owns their lane.

Against the outcome the client is accountable for. Pipeline generated, deal size, activation rate, seller enablement uptake, whichever business metric ties to why the program exists. Every campaign has a leading measure built in that reads while the work is in-flight, and a lagging measure that ties to revenue, so leadership sees the trajectory before the post-mortem. Where a test can be structured, we structure it. HP's controlled experiment on ABX, which lifted deal size 398% against a matched control, is a live example of what measurement looks like when it is designed into the program from the start.