Expert advisory & problem-solving

Expert Advisory & Problem-Solving gives you flexible, on-demand access to senior ML infrastructure specialists with proven track records for specific technical challenges, urgent issues, or critical decisions. You get focused expert input exactly when you need it, without committing to a full project or retainer. It solves immediate problems while building your team's capabilities through direct knowledge transfer.

Use cases

When you should optimize?

You want an expert second opinion before a major platform or architecture decision.

You hit a sudden cost spike or performance regression and need rapid diagnosis.

You evaluate cloud cost tooling and want help selecting and rolling it out.

You need a feasibility check on an optimization idea before spending engineering time.

You want focused code review or targeted guidance for a specific subsystem.

Deliverables

What you get

Live working sessions with a senior expert, focused on your exact problem.

Clear recommendations you apply right away, trade-offs, priorities, and next actions.

Architecture and design feedback for upcoming decisions, with risk points called out.

Code review notes for hotspots, performance bottlenecks, and reliability gaps.

A short written recap after each session, decisions made, an action list, and owners.

Optional knowledge transfer for your team on the topic at hand.

Follow-up availability through additional booked hours as implementation questions come up.

Our approach

How it works

Intro call, 20 to 30 minutes. Align on goals, constraints, access, and the fastest path to answers.

Prep and context handoff, 1 to 2 business days. You share docs, cost reports, diagrams, or repo pointers.

Working session(s), 2 hours minimum per booking. Deep dive, review, troubleshoot, decide.

Written recap, within 24 to 48 hours after each session. You get a concrete action plan.

Optional follow-up session(s), scheduled as needed until your team ships the fix or decision.

Business impact

What you can expect

Avoiding costly platform or vendor mistakes by validating technical decisions before commitment (typical avoidance: €50K-€200K in sunk costs or migration expenses)

Resolving the urgent cost spikes within days instead of weeks, stopping budget overruns before they compound (typical savings: €5K-€30K/month)

Building internal team capabilities through knowledge transfer, reducing future dependency on external expertise

Practical details

Typical duration

5-20 hours per engagement, scheduled flexibly over 2-6 weeks

Client involvement

Technical lead or senior engineer participates in sessions; team implements recommendations independently

About us

GoodML brings deep machine learning infrastructure and cost optimization

One focused engagement at a time. Direct access to experienced ML infrastructure optimization expertise.
Clear priorities, expected impact, and practical next steps that your engineers own.
Clean handover, decisions, configs, and runbooks your team will keep using.

Learn more

Get in touch

Have you done initial optimization work and want to lock in gains while adapting to growth and change?

Book a short intro call to see whether our Continuous Optimization Program fits your needs.

Book a call

Thank you! Your submission has been received!

Something went wrong while submitting the form.