Haus Creatives is a Fractional CTO practice with enterprise architecture depth. Our track record spans global retail digital supply chains, AI pipelines, and ADTECH/MARTECH platforms — systems built for the scale and complexity most development shops have never encountered.
We work best with agencies that need a trusted technical partner, non-technical co-founders who need someone to own the architecture, and startups that can't afford a full engineering team but need systems built right. We help you vet vendors, make technology bets, and build the things your existing team can't.
// web2video pipeline — browser-native motion graphics automation
What you're seeing was generated by a bespoke web-based tool we built — a browser-native After Effects equivalent for automating kinetic typography and motion graphics at volume.
What we doMost startups and agencies don't need a full-time CTO. They need one for the decisions that compound: stack selection, vendor vetting, CI/CD pipeline architecture, and knowing what to say when a client's IT team challenges your security posture.
We bring enterprise architecture and DevSecOps experience — zero-trust pipeline design, security-reviewed application development, and infrastructure thinking that typically lives inside large engineering organizations.
For non-technical founders, that also means:
Reviewing a SOW or hiring for a technical role? Send us the details.
Most agencies have developers. Very few have a Technical Leader or Advisor. When a client's IT team starts asking about security posture, API gateways, or service boundaries — that's where engagements fall apart. We step in as that technical authority: reviewing vendor proposals, setting architecture direction, and translating between your creative team and enterprise IT. We've been that person before. We know what the other side of the table is asking.
Digital Workflow with high resolution file support — our bespoke tools in action:
Deploying to AWS isn't the same as architecting for scale. Multi-region failover, containerized workloads, CI/CD pipelines, service mesh, zero-downtime deployments — these decisions compound. A wrong call at the architecture layer costs months later. We've operated at the level of enterprise systems engineering and bring that experience to every infrastructure engagement, including for teams who've never needed it before but are about to.
We've orchestrated compute-intensive batch workloads in production — GPU render fleets provisioned on demand against queue depth, scaled to peak throughput, and deprovisioned after job completion. Not just apps deployed to the cloud. Workloads engineered for it.
Most AI work stalls between proof of concept and production. We help close that gap: shaping the MLOps path, putting security guard rails around model usage, and turning data science prototypes into systems teams can actually ship and operate. That can mean advising on architecture, building the deployment path, or helping assemble the team that carries it forward.
AI Vision Analysis:
// CASE STUDY
1,200+ store fleet. Built three integrated systems: a store-facing ordering portal, a corporate asset management backend, and a real estate–triggered automation engine. When a store opens or renovates, business logic calculates the required marketing package and automatically pushes it before grand opening — no manual ordering. Stores can also self-order from a live catalog.
20+ year engineering partnership
// CASE STUDY
Corporate marketers and store teams both author print-ready collateral — coupons, shelf strips, custom event cards — through a templated design system. Store-created content is routed through an automated approval chain before vendor notification triggers print and ship fulfillment. End-to-end: from blank canvas to physical in-store material, no manual handoffs.
// CASE STUDY
A social media agency producing high-volume Kickstarter ad campaigns needed to replace their desktop After Effects workflow with something their whole team could run from a browser. Sold the engagement, authored the full technical specification, and delivered a working MVP. The editor runs entirely in the browser: multi-track timeline, drag-and-drop clips, live title animation preview, and a bezier motion path designer for keyframed motion tweens. On export, a JSON timeline schema drives a queue-based cloud render pipeline: Puppeteer captures each animation frame at pixel-accurate resolution, FFmpeg composites video, titles, audio, and effects into a final MP4. Parallel worker pools handle concurrent jobs with dead-letter queue and retry. Worker nodes are provisioned on demand against queue depth and deprovisioned after job completion — compute cost stays proportional to actual render volume.
Send us a note. What are you building, and where are you stuck?
hi@hauscreatives.com