We absorb the friction of building and running a composable content platform.
From content modeling and composable architecture to go-to-market and AI activation, we engineer the core and build the growth and intelligence on top — delivering your Contentful platform in the context of your business.
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Contentful stopped being just a CMS — and your content picked up a new audience.
The platform's last two years pushed it from headless CMS toward a composable experience platform: native AI across the content lifecycle, visual building for marketers, and personalization near the core. Three shifts change what a services partner has to cover.
Answer engines increasingly shape a brand's first impression before anyone reaches the site. Contentful's own move into AI discovery signals it — and structured, well-modeled content is what those systems can read and represent accurately.
With Studio and visual building, content and marketing teams assemble experiences directly. The engineering job shifts to giving them that freedom safely — reusable components, guardrails, and governance that hold under real use.
Personalization and experimentation now sit near the core of the platform. Getting value from them is a strategy-and-data problem as much as a build problem — which is exactly where go-to-market and engineering have to meet.
Organizations built on a composable foundation need a partner who can run these shifts — engineering the platform and turning each change into a strategic advantage for growth. That's the work we do.
Three shifts, three disciplines. We cover the whole Contentful surface with one team — engineering, go-to-market, and AI under one roof.
One team, from content model to conversion.
We map to Contentful across all three of the things we do — engineering the platform, taking it to market, and activating AI on top. Engage a single skill, a pod, or the whole practice.
- Content modeling & information architecture
- Composable & headless build (Next.js, React)
- Migration & replatforming
- Integrations — DAM, commerce, search, CRM
- Studio & app-framework enablement
- Performance, reliability & SRE
- Answer-engine & AI-search readiness (GEO/AEO)
- SEO & content strategy
- Analytics & instrumentation
- Personalization & experimentation (CRO)
- Content operations at scale
- Localization & multi-brand
- Activate Contentful's native AI features
- AI-assisted content operations
- Agent-ready structured content
- Workflow & publishing automation
- Answerability engineering
- Custom apps & AI integrations
Get the content model right, and everything downstream gets easier.
The content model is the decision that compounds. Model for reuse — and for the surfaces you can't see yet — and web, app, in-product, and AI all draw from one source. Model for today's pages only, and every future change fights the schema.
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We model for reuse, not for one template
Structured, modular content that composes across channels — the opposite of page-shaped fields that trap you later.
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We build for a second audience
We structure content and semantics so AI answer engines can read and represent it — so it works for machines, not just readers.
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We govern it so your teams can move
We set up the components, roles, and workflows that let marketers publish freely without breaking the model or the brand.
Getting this right is where we start on a Contentful engagement. It's deep modeling work — and the foundation that decides how fast every migration, integration, and experiment moves afterward.
Move to Contentful without losing what's working.
Most Contentful programs start as a migration off a monolith or an aging headless setup. Run as a lift-and-shift, they carry the old model's problems across. We migrate model-first and in phases — so rankings, integrations, and content integrity survive the move.
Know exactly what you have — what to keep, consolidate, or retire — before anything moves.
Design the target model for your future needs, then map old content into it rather than replicating old patterns.
Move a service at a time, validate it in the new environment, and keep the old one running until it's proven.
Preserve URLs, redirects, and metadata so hard-won search equity comes with you, not against you.
Test content, performance, and integrations against real traffic patterns before go-live.
Senior delivery you can measure.
These are numbers from our active managed-services and CRO engagements — the delivery quality we hold ourselves to on every platform we run, Contentful included.
Across active managed-services and CRO engagements. Figures are approximate and representative of delivery quality — not a single audited account.
CXO didn't just replatform us into a composable ecosystem leveraging Contentful — they measured themselves by outcomes we defined before kickoff, and pushed our managed services work back toward new features instead of firefighting.
Deep in Contentful, aware of everything around it.
The platform is the anchor; the breadth is the elevation. When you work with us, you get engineers who know Contentful cold, and a team that holds your business objectives — not just your backlog — as its own.
We speak content model and conversion rate. Decisions get made with the business outcome in view, not just the ticket in front of us.
Engineering, go-to-market, and AI under one roof — with awareness of your broader ecosystem, whatever we're scoped to deliver.
A senior pod led by a named Pod Leader, with direct access. What we learn on your platform stays with it and compounds.
Contentful is one of the platforms we go deep on. We work across content, commerce, analytics, and AI activation — always in the context of your business.
Weighing Contentful — or already on it and not seeing the value yet?
Tell us where you are: a replatform you're scoping, a build that stalled, or a platform you want to push further into AI and personalization. We'll tell you how we'd help — and where we wouldn't.
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