NVG8

Marketing

Build demand with engines, not campaigns.

Modern demand creation runs on signal and content, both of which are now solvable with narrow agents. Marketing teams stop firefighting the calendar and start compounding a research-and-publish loop.

The pattern

Marketing teams firefight the calendar. PMM, content, demand gen, ABM — each pulling on the same human bandwidth. AI promises to fix this, but most teams end up with a Notion full of half-finished prompts and a Slack channel of broken integrations.

The agents that actually compound are narrow, owned, and instrumented. They sit inside a specific workflow (one research loop, one publishing loop, one signal feed) and earn their keep weekly. The "AI assistant for marketing" pitch usually doesn’t.

We build agents that fit the rhythm a B2B marketing team already runs on — not agents that ask the team to learn a new tool.

What we build for Marketing.

Outbound & Content

LinkedIn research & posting agents

Find the right people based on your ICP, draft in your brand voice, schedule the cadence, and sync activity back to your CRM and spreadsheets. The whole loop in one system: research, draft, publish, measure. Reps stop context-switching; marketing gets the data; the pipeline shows the work.

Outbound & Content

Iterative content generation

A multi-model writing system that drafts, critiques, and iterates against quality and topical signals before publishing. Replaces one-shot prompts with a measurable production loop. Output is your voice, not a generic LLM voice — because the loop scores drafts against your existing best-performing content.

Outbound & Content

Market & competitive intelligence

Scrapes vendor changelogs, event sponsor lists, analyst notes, and category news into structured feeds. Daily digest, sliced by topic. PMM and demand gen get a real read on the field without manual monitoring — and the team stops missing the moves that matter to positioning.

Knowledge & Copilots

Content-grade retrieval pipelines

Turn your blog, docs, customer stories, and analyst notes into a vector store your writers and agents can query and cite from with confidence. The infrastructure layer under every content workflow: the writing engine, the chatbot, the internal copilot. Done well it’s invisible. Done badly it’s why your AI says wrong things.

Who this is for

VPs of Marketing, CMOs, and demand gen leaders at B2B teams that have moved past "should we use AI" and into "how do we make it earn its keep." Also founders running their own marketing motion who want a content engine that runs without them. PMMs who need competitive intelligence on a cadence the human team can’t sustain.

Three ways to start.