Cloud cost intelligence, optimization, forecasting and a FinOps operating model that turns spend into accountability. We find the waste in your cloud and data platform bills, remove it, and put the guardrails in place so it doesn’t come back.
OVERVIEW
Visibility + accountability = savings.
Cloud and data platform costs grow quietly and spike without warning — an unbounded warehouse, a forgotten cluster, a query that runs every five minutes for no one. XEqualTo brings finance, platform and engineering teams one view of spend, one owner per line, and a playbook for cutting it without breaking SLAs.
We combine cost intelligence from our Quper platform with hands-on engineering: query tuning, warehouse sizing, storage tiering, commitment planning and budgets with alerts. Savings you can point to on the next invoice, and an operating model that keeps them there.
September · $412k across 3 clouds + SnowflakeUnallocated 2%
Platform$148kAnalytics$111kProduct$91kML$54k
Platform · A. RaoAnalytics · M. ChenProduct · S. IyerML · D. Okafor
Cost visibility & allocation
Every dollar of cloud and data platform spend allocated to a team, product and workload — with tagging enforced so the unallocated bucket shrinks to nothing.
BeforeXL · always on
AfterM · auto-suspend 5m
0006121824
−61% compute · same SLA
Optimization engineering
Query tuning, warehouse and cluster sizing, auto-suspend, storage tiering, clustering and materialized views applied where they pay off — faster workloads on less compute.
+$4.2k · flagged 09:14
Forecast $398k vs budget $410k
Anomaly detection & forecasting
Spend anomalies flagged within hours, forecasts by team and workload, and budgets with alerts before the overrun rather than after it.
Commit 68%
Savings planRI · 1yrCapacity
Commitment & rate optimization
Reserved instances, savings plans and platform commitments planned against real usage patterns so you buy the right amount, not the amount the vendor suggests.
Platform72%
Product91%
ML48%
Review · 2nd TuesdayAlert → Product
FinOps operating model
Owners, budgets, a review cadence and guardrails per team — so cost becomes a shared engineering metric rather than a finance surprise.
OUR APPROACH
Inform, optimize, operate, sustain.
We follow the FinOps lifecycle but stay hands-on: baseline the spend, take the first savings ourselves, put the operating model in place, and leave you with the tooling and cadence to keep the bill honest.
01Inform
02Optimize
03Operate
04Sustain
01
Weeks 1–2
Inform
Connect billing and usage data from your clouds and data platforms into Quper, allocate spend to teams and workloads, and build a baseline. The first report usually surprises everyone — that is the point.
Take the quick wins first: idle resources, oversized warehouses, unbounded queries, cold storage. Then the structural ones: commitments, architecture changes, workload scheduling. Every change is measured against the baseline.
Set budgets and alerts per team, assign owners, and run a monthly FinOps review with finance and engineering in the same room. Anomalies are caught daily, not at invoice time.
Cost becomes a first-class engineering metric: guardrails in CI, forecasts per product, and a platform that tells you where spend is heading before it gets there. Run by us or by your team.
Cost intelligence across every platform you pay for.
AWS, Azure, Google Cloud, Snowflake and Databricks — we optimise the platforms our engineers build on daily, so recommendations come from people who know why the bill looks the way it does.
AWS
Databricks
Microsoft Azure
Snowflake
Google Cloud
Power BI
Tableau
dbt
QUESTIONS
Things people ask before a cost review.
Want to know how much you could save before committing to anything? Talk to us directly — we would rather answer it properly than guess at it.
Most estates we review carry 20–35% waste across idle resources, oversized compute and unbounded queries. The first review quantifies yours line by line before anyone commits to a programme.
No. Every change is measured against SLAs as well as cost. Most optimizations — query tuning, clustering, rightsizing — make workloads faster as well as cheaper.
AWS, Azure and Google Cloud billing, plus Snowflake and Databricks usage. Quper pulls them into one allocated view so you see cloud and data platform spend together.
Quper is the cost intelligence layer we use in every FinOps engagement and is included in it. Many clients keep it after; some run the operating model on their own tooling. Either works.
FinOps only works when finance and engineering share the same numbers. We set up the allocation, budgets and monthly review so both sides are looking at one view of spend and one set of owners.
With a free cloud cost review: we connect your billing data, allocate spend, quantify waste and give you a prioritised savings plan within two weeks.
Ready for a free cloud cost review?
We’ll come back with your spend allocated, waste quantified and a prioritised savings plan. No commitment beyond the conversation.
