Independent technical consulting for mid-market SaaS operations teams. Senior judgment on real, specific problems.
Data, AI infrastructure, and the operational systems that hold everything together.
Analytics pipelines and predictive models, including churn models that catch at-risk accounts before renewal and vector search that makes internal knowledge retrievable.
Good fit if: churn forecasting is reactive, your analytics stack is a patchwork of scripts, or valuable data sits unused.
Agentic AI and MCP server infrastructure with the guardrails built in from day one: access control, audit trails, failure modes.
Good fit if: you're rolling out agentic workflows, evaluating MCP for internal tooling, or already shipped something nobody stress-tested.
Integrations, error monitoring, and GTM engineering for the connective tissue nobody owns until it breaks, so incidents get caught before a customer notices.
Good fit if: integrations are duct-taped together, errors surface from customer complaints instead of alerts, or your GTM stack doesn't talk to itself.
Every engagement moves through up to four stages. Stop after any one.
A focused assessment of one problem, not a company-wide review. You get a clear breakdown of what's happening, why, and your options.
A prioritized plan with effort estimates. Build it with us, hand it to your team, or bring in someone else. It's yours either way.
A defined engagement with clear deliverables and a timeline, not open-ended hourly work.
Some engagements end at implementation. Others turn into a light retainer: a few hours a month to catch problems early.
Internal operations teams at mid-market SaaS companies that need senior technical judgment, not a full department to manage.
Blind spots and workarounds that don't belong to anyone's job description, quietly costing your team time.
Someone trusted with varied, ambiguous problems before, without the cost or ramp-up of a full-time hire.
Your team is adopting agentic systems and AI tooling faster than anyone's thought through how to govern it safely.
Analytics, integrations, or data pipelines that started as a quick fix and never got rebuilt.
Tell us where the friction is. We'll say honestly whether a fixed-scope audit makes sense.