Nimbus learns your brand, plans the strategy, generates the creative, publishes everywhere, optimizes the spend, and answers the phone. Agents that run continuously — not one-shot content tools.
Most tools start from a blank prompt. Nimbus starts from intelligence: it ingests your identity and your catalog as two structured layers, then fuses them every time it creates anything — so output stays on-brand at scale, across thousands of assets.
The identity layer, built once and reused everywhere.
The catalog layer, synced live from your store.
This isn't a marketing diagram — it's the actual product navigation. Each pillar is a working system of agents, and they feed each other.
Syncs your catalog from Shopify and Amazon, then builds a deep profile — voice, visual identity, personas, positioning, and 24+ marketing angles per product.
Weekly content and campaign plans, KPI tracking, budget allocation, and Google Ads media plans — generated, not spreadsheeted.
Social across Meta, TikTok, Pinterest, and YouTube. Paid ads with a closed autonomy loop on Google and Amazon. Full-stack SEO.
Unified inbox, two-way SMS, web forms, and a real-time voice agent that answers calls, reads intent, and hands off to humans.
Images, video, music, voice, and copy — generated by the best model for each job, assembled from your two DNA layers.
Series bibles, scene breakdowns, consistent characters — assembled into full episodes through a render pipeline. See the pipeline ↓
Most "AI marketing" tools stop at generating drafts. Nimbus closes the loop on live ad accounts: it proposes decisions in shadow mode, runs the experiment, detects the statistical winner, applies it — and reverts anything that regresses. Every day.
Pulls live results from the ad account, every day.
AI generates optimization decisions without touching spend.
Evaluated with statistical winner detection — not vibes.
Proven changes are applied to the account automatically.
Regressions roll back. Broken assets get flagged.
The same discipline runs Amazon Ads: a multi-stage bid and budget engine — classify → compute → submit → reconcile — fed by a BigQuery warehouse.
For media businesses, the sixth pillar grows into an entire studio. Showrunner develops the series, keeps the cast consistent, generates every shot, and cuts the episode — the whole production pipeline, run by agents.
Premise, tone, world, and episode arcs — the source of truth every episode obeys.
Scene-by-scene structure with pacing and continuity built in before a frame is generated.
Personas hold their look and personality across episodes; voice talent is curated per role.
Video, dialog, and score generated per shot — each by the best model for the job.
Scenes → shots → finished episodes, assembled through the render pipeline.
Who you are and what you sell are separate, structured layers — synthesized for every single output. That's how it stays on-brand at scale instead of drifting.
Shadow testing, statistical experiment evaluation, auto-apply, auto-revert — on live ad accounts. Most tools stop at drafts.
Intelligence → strategy → creative → distribution → engagement, in one OS. No stitching, no exports, no gaps where context dies.
Claude for reasoning, Gemini for images, Veo for video, Lyria for music — unified through Vertex AI instead of forced through one model.
The system adapts its intelligence and outputs to the kind of business it's running — products, service areas, or episodic content.
Tell us where to point it. We'll reach out within one business day.
We'll be in touch within one business day to connect your store and start the sync.