Senior expertise across technology and finance.

For companies that moved fast, shipped a product and are now feeling it in scaling, maintenance and management. We lead full re-architectures of cloud infrastructure and internal IT, so the business is ready for its next stage.

• Infrastructure and systems audits
• End-to-end cloud re-architecture
• Internal IT, identity and access
• Low-disruption migration planning
• Documentation and clear ownership
• Readiness for diligence and acquisition

Infrastructure that is secure, reliable and sized to what you actually need, so your cloud bill grows slower than your revenue.

• Architecture design and review
• Cloud migration and modernization
• Cost optimization
• Security, compliance and access
• DevOps, CI/CD and observability
• Scalability and resilience planning

Senior engineering help, from untangling a codebase to setting up the practices that let a small team ship quickly without breaking things.

• Codebase and architecture assessments
• MVP and product build support
• Engineering process and code quality
• Technical debt reduction
• Team augmentation and mentoring
• Hiring and interview design

A practical path from AI curiosity to AI in production: choosing the problems worth solving, building them well and getting your team comfortable using them.

• AI strategy and use-case prioritization
• Prototyping and production builds
• Data readiness and governance
• AI-assisted engineering workflows
• Team training and enablement
• Vendor and model selection

Budgets and forecasts that leadership actually uses to make decisions: where to hire, what to spend and how much runway you really have.

• Annual budgets and rolling forecasts
• Runway and cash-flow modeling
• Scenario and sensitivity planning
• Headcount and hiring plans
• Budget-versus-actual analysis
• Planning cadence for the leadership team

Getting ready for the raise before the raise: a model investors trust, a data room that holds up and steady support through diligence and close.

• Investor-grade financial models
• Data room preparation
• Cap table and dilution modeling
• Financial story for the pitch deck
• Support through diligence and close
• Debt and alternative financing options

A clear view of what each customer, product and channel really earns, so growth stays profitable and pricing decisions rest on data.

• Unit economics and contribution margin
• Pricing and packaging analysis
• CAC, LTV and payback modeling
• SaaS and revenue metrics
• Profitability by product and channel
• Business cases for major investments

The KPIs, reporting and tools that give leadership and the board a clear, timely picture, set up to scale with the company.

• KPI frameworks and dashboards
• Board and investor reporting packages
• Finance tool selection and setup
• Controls and approval workflows
• Systems integration and automation
• Readiness for diligence and exit