A senior AI architect in your CTO team's corner.
Principal-level architects who've built AI on Databricks, AWS, and Azure. Architecture reviews, integration patterns, MLOps, and hands-on delivery — de-risk your AI program without hiring.
Databricks Delivery Partner · AWS · Microsoft · Anthropic · 50+ enterprise AI programs delivered
Is this for you?
Yes, if
- You are a CTO, VP Engineering, or Head of Platform and your team is about to build (or rebuild) on Databricks, AWS, or a similar enterprise stack.
- You want a senior advisor plugging in for architecture reviews, MLOps patterns, and hands-on delivery, not a slide-deck consultancy.
- You are under pressure to ship an AI capability and your team has the skills but not the production patterns to do it cleanly.
- You want named workstreams with fixed scope, not open-ended body-shopping.
Not yet, if
- You are an individual developer wanting AI coaching. See our Claude Code training for paid team workshops, or browse the free resources.
- You are at the business-case or strategy stage without a stack in mind yet. Start with Data Discovery & Strategy or the free AI Readiness Diagnostic.
- You want an embedded full-time consultant long-term. We engage on fixed-scope reviews, sprints, and named workstreams.
When your team can't afford to learn on the job
Your engineers are brilliant, but they haven't built production Databricks pipelines ten times over. We have. Plug us in as a senior advisor — architecture reviews, pattern libraries, MLOps wiring, and hands-on delivery when it matters — and keep your team focused on your domain, not learning ours.
Faster integration with expert guidance
Better performance with optimisation
Knowledge transfer to your team
Our Technical Services
Comprehensive technical enablement and integration support
- Architecture design and optimisation
- Integration patterns and best practices
- Performance tuning and optimisation
- Scalability and cost optimisation
- Technology stack recommendations
- API and connector integration
- ETL/ELT pipeline development
- Data warehouse migration
- Legacy system integration
- Real-time data streaming setup
- CI/CD pipeline setup
- MLOps workflow implementation
- Model deployment automation
- Infrastructure as code (IaC)
- Monitoring and alerting setup
- Query performance tuning
- Cluster optimisation
- Cost monitoring and reduction
- Data partitioning strategies
- Caching and optimisation
Our Enablement Approach
- Review existing architecture and systems
- Assess technical capabilities and gaps
- Identify integration requirements
- Evaluate performance and cost optimisation opportunities
- Architecture design and documentation
- Integration patterns and approaches
- DevOps and MLOps strategy
- Performance optimisation plan
- Platform setup and configuration
- Integration development
- CI/CD pipeline implementation
- Performance tuning and optimisation
- Technical training and workshops
- Documentation and runbooks
- Code reviews and best practices
- Ongoing technical support
What You'll Receive
- • Architecture design and documentation
- • Integration patterns and approaches
- • Performance optimisation recommendations
- • Technology stack guidance
- • Integrated platform setup
- • API and connector configurations
- • Data pipeline implementations
- • Legacy system integration
- • CI/CD pipeline setup
- • MLOps workflow implementation
- • Infrastructure as code
- • Monitoring and alerting
- • Technical training and workshops
- • Documentation and runbooks
- • Code reviews and best practices
- • Ongoing technical support
Ready to Enable Your Technical Team?
Build technical capabilities and ensure long-term success with expert guidance and knowledge transfer.