Creux AI Studio embeds specialized automation engineering into your team to build custom internal ops systems, workflow automations, and industry-specific solutions that remove bottlenecks and drive scale.
Creux AI Studio is not trying to serve everyone. The sweet spot is lean service businesses and operator-heavy teams with recurring internal work that should already be more systemized.
Specialized automation engineering embedded with your team to build custom internal systems and workflow layers that scale.
Learn More →Automate marketing, advertising, and CRM management for small brokerages. Identify better leads and track prospecting with precision.
Learn More →Secure data upload portals designed to overcome banking and social objections. Retrieve client info seamlessly for carrier resubmissions.
Learn More →Creux AI Studio provides Forward Deployed Engineering to help brokerages, agencies, and small teams clean up the operational mess behind the scenes. We build specialized solutions for Commercial Real Estate and Life Insurance that reduce admin drag and automate the workflows that drive revenue.
“Proprietary systems. Competitive advantage.”
Creux is intentionally small. The goal is direct access to the people designing and building the system, not layers of account management.
Creux is built around practical implementation. Dakota leads strategy, system design, and the build work that turns messy operations into usable software.
Oscar specializes in presence, interruption management, and making sure no build review happens without proper oversight.
We embed with your team to map the exact bottlenecks, broken handoffs, and manual data gaps slowing your operations down.
Our forward deployed engineers build the custom automation layer, secure portals, and internal tools required for your scale.
We monitor and refine the systems in real-time, ensuring they handle edge cases and drive measurable ROI without adding headcount.
This is the portfolio layer of the studio: real products, active builds, client-facing concepts, and contract engineering work that show range, execution quality, and the kinds of systems we know how to move.
Multi-project contract work across secure platforms, intelligence systems, reporting flows, and platform rebuild planning.
Covers several GDNA workstreams including Atlas Strategic Access, 2ndFactors, Engine and SAM tracking, Farm Market Report, ApexSpeed, and HEC-oriented platform work.
Open Case Page +A broader body of work around affiliate systems, content operations, and brand-facing growth workflow design for AutoHDR.
Represents multiple AutoHDR efforts rather than one page: affiliate redesign thinking, landing-page/admin/backend workstreams, and operational support around branded content flow.
Open Case Page +Self-hosted content automation that turns content production into an operating system instead of a manual marketing chore.
Built to generate, schedule, publish, and track multi-channel content with approval flow, publisher logic, analytics, and a tighter operational loop.
Open Case Page +An iOS social product for dog owners that combines park discovery, messaging, scheduling, and dog health management.
Built as a real product with location-aware discovery, QR-based social connection, reminders, and App Store submission work.
Open Case Page +A private business assistant concept for reducing admin load, customer lookup time, and repetitive office work.
Framed as an internal operator, not a generic chatbot, with workflow support for forms, retrieval, and daily organization.
Open Case Page +An embeddable 3D avatar concept for websites paired with LLM-backed conversational support.
Explores a more memorable interface layer for support, lead capture, and branded conversational experiences across web properties.
Open Case Page +The easiest way to start is not a vague discovery call. It is a focused audit of where your internal work is slowing down and what system should get built first.
Credited toward implementation if we move into a build.
Request the AuditBest first step if you need clarity on what to automate before committing to a build.
Best for one internal workflow that needs to be standardized and automated.
Best for teams that need a full internal ops layer across multiple tasks or tools.
Most AI projects stall in the prototype phase. Here's how we make sure they don't.
Read Insight +Hiring an AI team is a big decision. These are the questions that separate good partners from expensive lessons.
Read Insight +Generic AI tools get you 80% there. The last 20% is where the real value lives.
Read Insight +We build custom AI agents, workflow automations, and internal ops systems for service businesses and small teams. We ship production systems, not prototypes.
Projects typically range from $5K–$50K depending on scope. We start with a discovery call to understand your needs and provide a fixed quote.
We're based in Austin, TX but work with clients nationwide. Most of our work is done remotely.
A chatbot follows scripts. An AI agent reasons, makes decisions, and takes actions across your systems. We build agents that actually do work, not just answer questions.
Most projects ship in 4–8 weeks. We move fast because we keep teams small and focused.
Off-the-shelf gets you 80% there. If that last 20% is where your competitive advantage lives, custom is worth it.
Ask anything about our capabilities, process, or typical build outcomes.
Start with the clearest next step: identify the bottleneck, map the workflow, and decide what should actually be automated first.