We help organizations cut cloud costs, build FinOps maturity, and upskill their teams — from on-demand support to fully managed FinOps and industry-recognized certification training.
From a free maturity check to fully managed FinOps, pick the engagement that matches your stage and cloud spend. Five offerings — all designed to deliver measurable savings.
Where does your organization sit on the FinOps maturity curve? Take our 30-question, cloud-agnostic assessment across 6 domains and get a personalized maturity score, radar chart, and 30-day quick-win plan — all instantly, all free.
Ideal for: Anyone curious about their FinOps maturity · No commitment
Cut your AI & LLM cloud bill — Bedrock, SageMaker, GPU EC2, Inferentia. We audit your AI workloads, attribute spend to the right model / feature / team, and ship ranked recommendations to reduce $/token, $/inference, and $/user-query.
Ideal for: Teams running Bedrock, SageMaker, or GPU workloads with $5K+/mo AI spend
Recurring partnerships for continuous savings, governance, and managed practice — three flexible engagement models.
On-demand FinOps expertise for teams that need expert guidance without the overhead of a full engagement. We become an extension of your team — available when you need us.
Ideal for: Cloud spend $10K–$50K/month · Lean engineering teams
Deep-dive engagement to identify, quantify, and implement cost savings across AWS, Azure, and GCP. We audit your entire cloud estate and leave behind a roadmap your team can execute.
Ideal for: Cloud spend $50K–$500K/month · One-time savings push
Fully managed FinOps practice — we run the cost governance, anomaly response, commitment strategy, and reporting so your engineering teams can focus on building.
Ideal for: Cloud spend $100K+/month · Growing platforms · Pre-IPO / post-Series B
Small-to-mid engineering teams running on AWS / Azure / GCP with monthly cloud spend between $10K and $50K. You want expert FinOps guidance but don't have the spend or team size to justify a full engagement.
Perfect as an entry point before scaling to the Optimizer or Managed tier.
We walk through last month's bill, surface waste, identify optimization opportunities, and prioritize action items for your team.
AWS Cost Anomaly Detection + Azure Advisor rules configured on your account. We get the same alerts and triage them with you.
Ping us in Slack or email for architecture questions, commitment purchase reviews, tagging strategy, budget threshold advice.
PDF report: MoM trend, top 5 services, savings realized, recommendations implemented, upcoming focus areas.
Quarterly tagging compliance review with a punch-list of resources that need fixing.
Shared Notion/Sheet tracking every recommendation with status, estimated impact, owner, and due date.
Teams with monthly cloud spend between $50K and $500K who want a comprehensive one-time push to identify and realize savings, before deciding whether ongoing FinOps is needed.
Common triggers: cloud bill growing faster than revenue, pre-IPO audit, board asking tough questions, new CFO.
Kick-off workshop, access provisioning (read-only), CUR + Cost Export setup, baseline metrics captured.
Compute right-sizing, storage tiers, data transfer, idle resources, DB optimization, commitment coverage analysis.
Savings modelled with confidence levels. Tagging taxonomy. Commitment mix. Governance policies drafted.
Side-by-side with your team: execute top savings, commit RI/SP purchases, deploy dashboards, document runbooks.
Organizations with cloud spend of $100K/month or more who need a mature FinOps practice but can't or don't want to hire a full in-house team.
Best fit: Series B+ startups, scale-ups, regulated enterprises, companies preparing for IPO, platforms where cloud is a major COGS line.
We effectively become your FinOps team — embedded, accountable, reporting to your CFO or VP Engineering.
Anomaly triage · real-time budget monitoring · async support in Slack
Sync with eng leads (30 min) · cost trend review · waste punch-list
Executive review · budget vs actual · commitment utilization · next-month forecast
Architecture cost review · commitment renewals · unit-economics deep dive · board-ready deck
CUR 2.0 + Athena pipeline · QuickSight dashboards · Power BI for Azure · FOCUS-normalized multi-cloud views · per-team, per-service, per-env breakdowns.
Every dollar attributed to a team/cost center · monthly invoices per team · shared-cost allocation rules · unit economics per customer or feature.
We purchase, exchange, and renew RI/SP on your behalf · layered strategy (Compute SP + EC2 SP + Spot) · utilization kept >95%.
ML-based alerts · triaged within 2 hours during business hours · root cause + fix recommendation · post-incident review.
Tagging enforcement via Config/Policy · SCPs for non-prod cost controls · budget alerts with auto-actions · quarterly policy reviews.
±10% forecast accuracy · monthly vs quarterly vs annual planning · scenario modelling (new product launch, migration, etc.).
Quarterly FinOps training for your engineers · cost-aware architecture reviews · reading-list + office hours for your devs.
Monthly CFO/board-ready deck · cost efficiency KPIs · unit economics trend · savings realized vs. target.
Weekly waste sweeps · right-sizing cadence · storage tier reviews · data-transfer audits · FinOps Foundation framework alignment.
Monthly retainer starting at $6,500/month for cloud spend up to $250K/mo. Scales with spend under management — roughly 2–4% of cloud spend for the managed practice.
Typical ROI: 8–15× return on FinOps fees within the first year, based on savings realized.
Not sure which tier fits? Let's talk — we'll recommend the right starting point based on your spend and goals.
Get a free FinOps assessment →Two tracks built for where you are in your journey — upskill as a student, or switch careers with confidence.
Pure training built for students and early-career learners who want to upskill in FinOps and cloud AI fundamentals.
End-to-end program for working professionals looking to switch careers into FinOps or cloud AI roles.
Practical, role-based FinOps curriculum covering principles, tooling, and real-world case studies across cloud providers.
Register NowStructured bootcamp to prepare for the AWS Certified AI Practitioner exam with hands-on labs and practice tests.
Register NowWe combine deep cloud expertise with a practical, outcomes-first approach.
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