For marketing teams, solo marketers, and founders doing it all themselves. DesignTech AI reads the content you already own and produces everything it should become next, locked to the designs your brand already approved: your layout, your type, your exact color.
Same platform, same brand-locked production. Pick the story that sounds like your week.
Keep the judgment, stop paying agency prices for production. Your approved designs become a production line the whole team runs.
DesignTech AI for Marketing Teamsarrow_forward personThe whole funnel is yours already. Now the production department is too: a team of one, with the output of ten.
DesignTech AI for Solo Marketersarrow_forward rocket_launchYou are doing it all yourself, between meetings. Bring the deck you already have; the launches come out looking like you hired a team.
DesignTech AI for Founder Marketingarrow_forwardShow us a design that already cleared brand review: the deck, the sell sheet, the ad. We learn its layout and type down to the pixel, and the house style behind it, then produce every version you will ever need: the next offer, the next segment, the next twenty ad variants. New creative ships without a new design cycle, and the thing your team fought to get approved stops being a one-off.
Point us at a white paper, a webinar, a customer story. We read it, propose the asset mix, and produce the whole set: the landing page, the email sequence, the ad units, the social carousels, the one-pager, the video cutdown. You brief one campaign, not eleven assets, and every one of them lands in the designs you already approved.
Everything your team has published and shipped, held in one connected record: the account file a studio would keep on you, except you own it. Everything in it is built from the same blocks, so one strong source can become any format without starting over. It is what the production line and the campaigns run on, and it gets stronger with every asset you add.
Every account runs on the same platform, in your own workspace. The only thing that changes is who does the labor, and the price follows the labor down.
Send the brief; finished work comes back, produced on the platform inside your own workspace. Every deliverable trains your templates and fills your library as a side effect, so the account gets faster every month.
Your team runs everything, self-serve and brand-locked. The templates, the library, and the brand rules are already yours, built up by every piece of work that came before. Want a safety net? The QA & Coaching Pack adds a human review gate and monthly coaching.
For larger organizations: SSO, a security review, custom volume, multiple brands or business units with isolation enforced in the database, and a dedicated strategist.
Most teams start with a month of Managed Production, then graduate to Self-Serve and take the keys to a trained account. Your workspace, templates, and library come with you, because they never lived anywhere else. That is the difference between this and a retainer. See the full packages and pricing.
Most tools sit in one phase and hand off. DesignTech AI runs all four, on one library of your content.
Grounded research with sources, competitor teardowns, persona briefs, and the positioning to argue from.
White papers, landing pages, emails, ad units, carousels, case studies, video. One engine, every asset type.
Straight to LinkedIn organic and Ads, or any connected app. Never without a person saying yes.
Page and campaign metrics land beside the assets that produced them, so the next campaign starts from what worked.
The best models available, through Google Vertex AI. The model is a swappable engine. Your content is what makes the work yours.
Vertex AI is an enterprise deployment that, by policy, does not train on customer data.
Content in, brand learned, assets made, edited, reviewed, and published. The whole loop, in one place.
Webinars, reports, decks, PDFs, audio, web pages, Drive docs, LinkedIn posts. All filed as reusable material that keeps its origin.
One search across everything you have produced, down to the stat, quote, or slide inside it.
Voice, colors, fonts, logos, personas, and offerings, read off your website or filled in by hand, then applied as every asset renders.
Web research with sources, competitor teardowns, personas from real profiles, and LinkedIn media plans with the funnel math done.
Pages, layers, snapping, styles, and AI image edits confined to the region you point at. Fix one line, not the whole asset.
Any Job can run on a schedule, work a list, or fire when new content lands. Drafts arrive in review.
Version history, reviewer chains, and review links that need no login. Nothing publishes until a person says yes.
To LinkedIn organic and Ads or any connected app, on your approval. Plus clean files in every format your channels take.
An MCP server, so the assistants your team already uses can search your canvas, run Jobs, and file work under the same approvals.
Content comes in from the tools that already hold it, and finished work goes back out, on your approval. Every connection lives in your own workspace.
Plus the MCP server above: the AI assistants your team already uses work with your content under the same approvals.
A model can be asked to behave. A platform makes the behavior unavoidable.
Every asset renders the logo file you gave us. No mark on file means no mark, never a model's version of it.
Assets arrive as live layers, not a flat picture. Still editable months from now, with version history and revert on every block.
Live text in your fonts and your exact hex values, not pixels painted to look like words. Selectable, searchable, translatable, exportable.
Work made from a design your brand signed off comes back at that design's own geometry and type scale. Only what you asked to change changes.
Generated work records the source block it was built from, checked as the asset is written. A reference that does not resolve is never filed.
Automations do the work; a human ships it. Every publish path sits behind approval, review links that need no login, and a platform kill switch.
A mechanical gate validates what is true or false about a design, then a brand check scores color, type, logo, and copy against your rules. Findings name the value and the rule, so you can argue with them.
American spelling, no giveaway punctuation, no placeholder text in a headline, no broken image. A code path every asset runs through, not a line in a prompt.
Every style, rule, persona, and example the platform has learned is on screen, editable by hand, and deletable.
Model calls run on enterprise endpoints that do not train on your material. Isolation is enforced in the database, and you can export everything you own.
Each promise is a gate in the production path. An asset cannot reach you without passing through it.
The creative judgment is yours: the strategy, the positioning, the design system your team fought to get right. What generative tools are exceptional at is production, doing the hundredth version as carefully as the first.
Production is the half of every agency retainer that no longer needs to cost agency prices. The strategy stays with your team. The hundredth version moves here.
So we did not build a design generator. We built a production platform that executes on your templates, your brand rules, your reference assets.
Built end to end by a designer, marketer, and agency owner with more than twenty years in B2B, whose agency delivered 2,626 client projects and 12,723 billed hours of exactly this production. Not best practices scraped from the internet: one practitioner's discipline, compiled.
DesignTech AI does not suggest templates or generate designs.
It executes on yours.
Twenty minutes on your real material, not a canned demo. Bring one design that cleared brand review and a list of what you produced last quarter, and we will show you how much of it this absorbs.
Send a design when you book and your workspace is trained before we meet. Calendar not loading? Email [email protected].
The whole platform: training a design, bringing your material in, what every Job produces, how your content is handled. The product's own documentation, so it always describes what is running.