Documents checklist

Prepare the evidence before asking for startup cloud credits.

A clean evidence pack helps a partner separate real provider opportunities from weak free-credit requests.

Startup cloud credit reviews move faster when the basic evidence is ready. The goal is not a long deck. The goal is a clear package showing company identity, stage, funding, workload, usage, provider fit, and what changes next. That lets a partner decide whether credits, discounts, terms, project funding, or funded implementation is realistic.

Paths we check

The right answer is not always the same benefit. We look at the case before forcing a path.

Company evidence

Website, legal name, country, founding date, product description, and applicant contact should all line up.

Commercial evidence

Funding, customers, grants, launch timing, and projected usage show why the provider should care.

Usage evidence

Gross spend, remaining credits, expiration date, services driving cost, and cloud account details keep the review concrete.

Workload evidence

AI, data, migration, security, customer deployment, or infrastructure plans help route the right provider path.

Good fit

  • + You have company details, website, legal entity, country, and founding date ready.
  • + You can share funding stage, accelerator, investor, grant, customer, or launch context.
  • + You know current cloud spend, gross usage, credits used, and expiration timing.
  • + You can describe the workload and provider fit in plain language.
  • + You want a realistic route across credits, discounts, terms, funding, or implementation help.

Weak fit

  • - No website, product, company identity, or legal details.
  • - No spend data, credit history, or workload description.
  • - No funding, customer, launch, or technical milestone.
  • - Only asking for credits with no provider fit.
  • - Inconsistent company, account, and applicant information.

How the check works

1

Prepare company identity and contact details.

2

Add funding, customer, grant, launch, or accelerator evidence.

3

Attach current cloud usage, prior credits, expiry dates, and workload details.

4

Use the pack to check the strongest provider or partner route.

Detailed guide

The operator version

Practical checks, edge cases, and decision rules for this route. No generic provider-program summary.

Most cloud credit conversations fail because the request is too vague.

"Can we get credits?" is not enough. A better request gives the reviewer enough context to route the case:

  • Is the startup eligible?
  • Which provider fits?
  • What credits were already used?
  • What workload will the credits support?
  • What is the current or projected cloud spend?
  • Is there a project, migration, AI workload, or customer deployment?

Use this checklist before applying directly, asking a partner, or booking a cloud-benefit review.

TL;DR

  • Prepare company, funding, and legal details.
  • List prior AWS, Google Cloud, and Azure credits.
  • Pull gross cloud usage before credits.
  • Explain the workload and provider fit.
  • Include project or migration details if relevant.
  • Approval is case-by-case.

1. Company identity

Prepare:

  • Legal company name.
  • Trading name, if different.
  • Website.
  • Country of registration.
  • Registered address.
  • Founded year.
  • Founder or decision-maker email.
  • Business registration number, if needed.

Why it matters:

Cloud programs often care about startup age, legal status, and whether the company is a real software/product business.

2. Website and product description

Your website should explain:

  • What the product does.
  • Who uses it.
  • Whether it is software-based.
  • What stage the product is in.
  • Why cloud infrastructure matters.

If the site is vague, fix that first. A clear website is one of the easiest trust signals to improve.

3. Funding and traction

Prepare:

  • Funding stage.
  • Amount raised, if public or shareable.
  • Round date.
  • Investors or accelerator.
  • Grants, if relevant.
  • Customer traction.
  • Launch date or roadmap milestone.

Funding is not the only signal, but it often strengthens the case. Customer traction can also matter when it explains future usage.

4. Prior cloud credits

Prepare a simple table:

Provider Credits received Approx amount Status Notes
AWS Yes/No $ active/used/expired
Google Cloud Yes/No $ active/used/expired
Azure Yes/No $ active/used/expired

Do not hide previous credits. They determine what routes are still realistic.

5. Current cloud usage

Prepare:

  • Current provider.
  • Monthly gross usage before credits.
  • Monthly invoice after credits.
  • Remaining credit balance.
  • Expiry date.
  • Top services by cost.
  • Usage growth over the last 3 months.

Gross usage matters because credits can hide the real run-rate.

6. Workload details

Prepare a plain-English workload description:

  • Hosting or compute.
  • AI inference.
  • AI training.
  • GPUs.
  • Data pipelines.
  • BigQuery, data warehouse, or analytics.
  • Managed databases.
  • Kubernetes or container workloads.
  • Customer-specific deployments.
  • Migration project.

The more specific the workload, the easier it is to match to a support path.

7. Provider fit

For each provider you want to check, explain why it fits:

Provider Why it fits
AWS Existing architecture, Bedrock, AWS-native services, provider relationship
Google Cloud Gemini, Vertex AI, BigQuery, Firebase, data, AI, migration
Azure Azure OpenAI, Microsoft ecosystem, enterprise customers, investor offer

Avoid saying every provider fits. That sounds like credit shopping.

8. Project or migration details

If you have a project, prepare:

  • Project name.
  • Business reason.
  • Technical owner.
  • Timeline.
  • Workload.
  • Expected usage.
  • Current provider.
  • Target provider.
  • Whether partner-funded professional help would be useful.

Specific projects can unlock routes that generic credit requests do not.

Why partners ask for this information

A serious partner is not only checking whether you fit a public credit form. They are deciding whether there is a real case to route.

That can include:

  • Startup credits.
  • Credit extension.
  • Provider switch.
  • Discount.
  • Payment terms.
  • Funded professional services.
  • Migration funding.
  • Marketplace or vendor discount path.

The initial review should not cost the startup money. If there is a real provider opportunity, the partner may be paid through provider-side economics such as resale margin, incentives, or funded work.

The documents make the case legible. Without them, nobody can tell whether there is a real provider opportunity or just a request for free credits.

9. Decision-maker and next step

Prepare:

  • Who can approve cloud provider changes?
  • Who controls billing?
  • Who owns infrastructure?
  • Who can attend a short confirmation call?
  • What decision needs to happen next?

If nobody owns the next step, the review stalls.

One-page prep template

Copy this:

Company:
Website:
Country:
Founded:
Funding stage:
Current provider:
Monthly gross cloud usage:
Credits received before:
Credits remaining / expiry:
Top cloud services:
AI/data/GPU/migration workload:
Provider being checked:
Why this provider fits:
Upcoming launch/project:
Decision-maker:

Sources

Check your path

The quiz takes about 60 seconds and helps route credits, discounts, terms, project funding, or funded help.

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    Have you received cloud credits before?

    Neta Arbel, founder of CloudCredits

    About the author

    Neta Arbel

    Founder, CloudCredits

    Neta Arbel builds outbound and partner-led growth systems for cloud companies and startup infrastructure offers. He started working with startups at 17 and now focuses on helping funded startups understand which cloud credits, payment terms, discounts, project funding, or funded technical help may be available before they book a partner call.

    Common questions

    Do we need a pitch deck?

    Not always. A short evidence pack is usually enough for an initial review: company, funding, workload, usage, provider history, and what changes next.

    What billing data matters most?

    Gross monthly usage, credits remaining, credit expiration date, services driving spend, and whether usage is expected to grow.

    Should we hide prior credits?

    No. Prior AWS, Google Cloud, or Azure credits should be disclosed because they affect the realistic route.

    Can a partner review this for free?

    The initial review should not cost the startup money if there is a realistic provider opportunity. Paid implementation is separate unless provider-funded.