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Decouple tech cost from revenue

Cloud Cost Modelling and Forecasting

Unlock your technology edge

Usage spikes mask underlying trends. AI adoption creates step-changes in consumption. Multi-cloud environments fragment visibility. With relentless technology change amplifying risk and cost, Capacitas translates fluctuating demand into predictable cloud economics and long-term financial control.

Complexity is a challenge. Complacency is a killer.

Cloud environments are becoming increasingly complex, but the real risk lies in assuming they will manage themselves. As usage patterns blur, growth accelerates, and architecture evolves, it becomes harder to link demand directly to cost.

The rapid adoption of AI workloads adds an extra layer of complexity. Demand-driven, inherently volatile and difficult to forecast, AI compute consumption is doubling every 7 months, reshaping the P&L in ways most aren't yet equipped to model.

And the cost of complacency? Cloud spend becomes erratic and unpredictable – driven by reactive budgeting, last-minute corrections and growing pressure from the C-suite to rein in spend.

Engineering predictability into cloud economics

Capacitas replaces uncertainty with structured, long-range planning and modelling. We translate business growth plans into technical demand, mapping how they drive capacity requirements and cost over time. 
 
The result is a clear view of cloud economics, enabling leaders to make confident investment decisions and negotiate with cloud providers from a position of strength. Over the past decade, this approach has delivered more than $3.5bn in enterprise value for our clients.

$10m

Overcommitment avoided on an AWS Private Pricing Agreement (PPA)

— a $2bn US SaaS firm

$120m

Overcommitment avoided on an AWS Private Pricing Agreement (PPA)

— a $8bn ecommerce firm

15%

Forecast/actual variance delivered from zero capability

— a FTSE financial services firm

Edge unlocked

Get an edge on cloud costs
Model not just future demand but how price-to-performance will shift across your planning horizon, capturing the 10-15% year-on-year improvement most fail to realise.

Read the right signals
Translate business growth plans into structured cloud demand models that reveal how usage, capacity and cost will evolve over time.

Strengthen your position at the negotiating table
Use forward-looking demand visibility to improve cloud commitment outcomes and secure stronger long-term agreements.

Book a Cloud Cost Diagnostic
Get a clear picture of your cloud cost position. This is a data-driven cloud cost maturity assessment, not a high-level conversation. We work directly with your cloud data to give your leadership team a precise view of where you stand and what is possible.
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THE TECHNOLOGY EDGE: CLOUD ECONOMICS ARE NO LONGER ESTIMATED, THEY ARE ENGINEERED, FORECASTED AND CONTROLLED AS A LEVER TO ACCELERATE ENTERPRISE VALUE AND PERFORMANCE.

Our Clients
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Fanatics
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Engineering your edge

1. Discover

Uncover distorted demand signals
Following a cloud cost optimisation, we shift focus to long-range planning. This starts by analysing cloud environments to identify where cost optimisation has already been achieved and areas where complexity may be masking true scaling trends.

2. Realise

Develop structured forecasting models
We use domain modelling and pattern recognition to translate future business demand into structured forecasts of cloud capacity and cost, enabling scenario-based planning across different growth paths.

3. Transform

Validate and operationalise forecasting models
By validating demand-led forecasts and scenario models against actual cloud usage, we ensure accuracy, converting modelling into reliable decision intelligence for long-term planning and cost control.

4. Support

Maintain the gains
Periodic checks for up to 12 months post-implementation ensure capability is maintained and outcomes sustained. Where workload peaks or team churn create pressure, we provide additional resources to protect continuity.

Unlocking demand-led control

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From reactive firefighting to forward-looking control

By translating usage patterns into forward-looking demand, Capacitas puts technology leaders in control as cloud demand evolves, eliminating the need for constant reactive intervention and last-minute cost correction.

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Embedding forecasting intelligence

Unlike tools that focus on surface-level usage noise, we focus on underlying demand signals, embedding a business-led forecasting methodology directly into the organisation. This ensures forecasting is structured, consistent and aligned to how the business actually grows.

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Capacity, performance and cost alignment

We connect infrastructure demand, platform scalability and workload behaviour into a single forecasting model, ensuring cost is understood in the full context of performance and architectural decisions.

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Command the cloud battleground

We model multiple demand and cost trajectories to support long-term planning and commitment decisions – including AWS Enterprise Discount Programs (EDP), Microsoft Azure Consumption Commitments (MACC) and Google Cloud Commitment Agreements (CCA/CUDs). This strengthens commercial leverage with hyperscalers.

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Clarifying cloud cost ownership

We reveal where cloud spend is concentrated across teams, products and services, improving accountability and enabling targeted optimisation in the areas driving topline growth and EBITDA performance.

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Validation for investment decisions

Demand-led forecasting and scenario modelling quantify how business growth translates into cloud demand, arming technology teams with a more defensible and investment-ready business case for future spend decisions.

What I valued most was Capacitas' ability to help us make cloud spend predictable. Their unique dataled approach gave us the transparency we needed to correlate cost with value and build trust with our stakeholders.

Jeff Laborde

CFO – JAGGAER

Capacitas brought technical depth and a human touch. Their guidance helped us push through technical and organisational blockers.

Andre Brunetiere

CTO & CPO, Cegid

We will scale out from 4 to 52 million smart metres over a 4-year period. Working together, we delivered 36% cost avoidance. At the same time, the engagement pinpointed and removed six critical scalability & performance risks. As a result of this engagement, we are confident that the service can scale out cost effectively in the future.

Alex Henighan

Director of Service Assurance, DCC

FAQs

How is Cloud Cost Modelling and Forecasting different from other cloud cost tools?

Our approach is designed for long-range decision-making, not day-to-day cost monitoring. While most tools focus on surface-level usage data and operational reporting extrapolating from historical data, Capacitas’ analysis also anticipates demand, tech and workload changes to produce longer-range, three-five year forecasts that better support strategic planning and investment decisions. 

Do you model AWS, Azure and Google Cloud commitments?

Yes. We incorporate into scenario modelling hyperscaler commitment structures, including:

  • AWS Enterprise Discount Programs (EDP)

  • AWS Private Pricing Agreements (PPA)

  • Microsoft Azure Consumption Commitments (MACC)

  • Google Cloud Cloud Commitment Agreements (CCA) and Committed Use Discounts (CUDs)

Additional proprietary or negotiated arrangements may also be incorporated, depending on the client’s cloud estate. This enables organisations to effectively evaluate the commercial impact of different commitment strategies, saving significant cost.

How accurate are long-range cloud forecasts?

Our validation process always ensures that forecasting models reflect real-world cloud behaviour. By testing outputs against observed usage, we convert modelling into decision-grade intelligence that leaders can trust when making long-term planning and investment decisions. 

Which sectors does Capacitas work in?

We work with large-scale enterprises with significant and growing cloud footprints where cloud scale and cost need to be tightly managed, including:



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