From Prototype to Production in Record Time
Axolotl Systems specializes in rapid AI/ML development, production-scale deployments, strategic consulting, and technical leadership. Choose your engagement: prototypes, production systems, strategic guidance, or fractional CTO.
Four Distinct Approaches
Choose the engagement that fits your stage, timeline, and goals.
72-Hour Prototype Development
One person, four roles, 72 hours. I work as your complete product team—handling Product Owner, Backend Engineer, ML Engineer, and Frontend Designer responsibilities simultaneously. Get a working prototype faster than most teams can schedule a meeting.
Product Owner
Requirements gathering, user story creation, feature prioritization, business value assessment
Backend Engineer
API development, database design, cloud infrastructure, authentication systems
ML Engineer
Model integration, AI features, data pipelines, recommendation systems
Frontend Designer
UX design, responsive interfaces, modern components, user flows
The 72-Hour Approach
Forget rigid planning phases. I work intuitively, building and iterating rapidly based on what emerges. Think of it as exploratory coding—starting with core functionality and letting the prototype evolve organically.
Rapid Discovery
- Quick requirements capture through conversation
- Immediate technical decisions based on intuition and experience
- Start coding core functionality within hours
- Let the architecture emerge from the problem
Iterative Building
- Build in tight feedback loops—code, test, adjust
- Frontend and backend developed in parallel
- ML integration happens as soon as there's data to work with
- Features emerge through experimentation and play
Ship & Iterate
- Deploy early and often—see it working live
- Real-time adjustments based on how it feels to use
- Demo with stakeholders to validate direction
- Handoff includes live system + iteration roadmap
Ready to Move Fast?
Perfect for startups, innovation labs, and proof-of-concept projects
Start Your 72-Hour SprintScale to Production with Confidence
For established companies: Transform your ML deployment from quarterly committee approvals to multiple daily deployments. Serve millions of users with battle-tested systems.
From Notebooks to Production
Stuck in Research Mode
Models work in notebooks but never reach users. No clear path from experiment to production.
Deployment Bottlenecks
Weeks of approvals and manual processes instead of automated, self-service infrastructure.
Missing Safety Nets
No proper A/B testing, monitoring, or rollback capabilities. Every deployment feels risky.
Scale Anxiety
Systems that work for thousands break at millions. No confidence in handling growth.
Battle-Tested at Scale
Ready to Scale?
Transform your ML deployment from research project to production system
Let's Build Your PlatformStrategic Technology Consulting
For leadership teams: Navigate complex technology decisions with confidence. Get expert guidance on ML strategy, platform architecture, and engineering culture transformation.
ML Strategy & Roadmaps
Turn AI ambitions into executable plans. Assess current capabilities, identify quick wins, and design long-term ML strategies that align with business goals.
Platform Architecture
Design scalable infrastructure that grows with your team. From data pipelines to deployment systems, build the foundation for sustainable ML operations.
Engineering Culture
Transform how your teams work. Implement practices that enable fast iteration, reduce deployment fear, and create a culture of continuous improvement.
Technology Due Diligence
Independent technical assessment for investments, acquisitions, or strategic partnerships. Get honest evaluation of technology risks and opportunities.
How I Work
Hands-On Assessment
I dig into your actual code, infrastructure, and processes. No high-level consulting fluff—I understand what you're really dealing with.
Practical Recommendations
Every recommendation comes with concrete next steps, resource requirements, and realistic timelines. You get actionable plans, not just pretty slides.
Knowledge Transfer
I don't just solve problems—I teach your team how to solve them. The goal is to make you more capable, not more dependent.
Ready for Strategic Guidance?
Perfect for CTOs, engineering leaders, and executive teams planning their next moves
Schedule Strategic SessionFractional CTO
Technical leadership without the commitment: Coach your engineering teams, guide architectural decisions, and build scalable tech culture. Get senior-level guidance on-demand.
Engineering Leadership
Mentor engineering managers, establish best practices, and build high-performing teams. Develop technical leaders from within your organization.
Architecture Decisions
Guide critical technology choices, review system designs, and ensure scalable solutions. Make confident technical decisions with expert oversight.
Process & Culture
Implement agile practices, improve deployment pipelines, and foster innovation culture. Build sustainable engineering processes that scale.
Strategic Planning
Align technology roadmaps with business goals, plan technical initiatives, and manage technology debt. Bridge the gap between business and engineering.
Leadership Philosophy
Hands-On Guidance
Work directly with your teams, not just advise from the sidelines. Code reviews, architecture sessions, and technical mentoring.
Culture Building
Establish engineering practices that outlast the engagement. Build sustainable processes and technical culture.
Knowledge Transfer
Train your existing team to take ownership. Focus on enabling internal leadership rather than creating dependency.
Ready to Build Technical Leadership?
Get the guidance of a senior CTO without the full-time commitment. Perfect for scaling startups and growing engineering teams.
Discuss Leadership NeedsWhy Axolotl Systems?
I'm Anne Schuth, and I've spent my career bridging the gap between cutting-edge research and production systems that serve millions of users. With a PhD in Search Algorithms, I've learned that the most sophisticated models mean nothing if you can't deploy and measure them quickly.
At Spotify, I managed teams that deployed to 500 million users daily. The platform made everything self-service—getting a new cluster, scaling up, or running A/B tests took minutes, not weeks. Speed was the default, not the exception.
Before that, at Google, DPG Media, and Blendle, I saw how different approaches to engineering scale. Some companies move fast because they invest in the right infrastructure. Others get stuck because they treat every deployment like a research project.
I'm opinionated because I've seen what works at scale. Platform teams, golden paths, and self-service infrastructure aren't nice-to-haves—they're competitive advantages. You can read more of my thoughts on technology and policy at anneschuth.nl.
What's with the axolotl? They're masters of regeneration—when something breaks, they rebuild it better. Just like good engineering teams. Plus, I wanted a company name that matched my initials (A.S.), and my eldest daughter's favorite animal made the perfect fit.
Start Your Project
Ready to move fast? Let's discuss your prototype or production system needs.
Or Schedule a Call
Prefer to talk? Book a 30-minute discovery call to discuss your project.