Company evidence
Website, legal name, country, founding date, product description, and applicant contact should all line up.
Documents checklist
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.
The right answer is not always the same benefit. We look at the case before forcing a path.
Website, legal name, country, founding date, product description, and applicant contact should all line up.
Funding, customers, grants, launch timing, and projected usage show why the provider should care.
Gross spend, remaining credits, expiration date, services driving cost, and cloud account details keep the review concrete.
AI, data, migration, security, customer deployment, or infrastructure plans help route the right provider path.
Prepare company identity and contact details.
Add funding, customer, grant, launch, or accelerator evidence.
Attach current cloud usage, prior credits, expiry dates, and workload details.
Use the pack to check the strongest provider or partner route.
Detailed guide
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:
Use this checklist before applying directly, asking a partner, or booking a cloud-benefit review.
Prepare:
Why it matters:
Cloud programs often care about startup age, legal status, and whether the company is a real software/product business.
Your website should explain:
If the site is vague, fix that first. A clear website is one of the easiest trust signals to improve.
Prepare:
Funding is not the only signal, but it often strengthens the case. Customer traction can also matter when it explains future usage.
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.
Prepare:
Gross usage matters because credits can hide the real run-rate.
Prepare a plain-English workload description:
The more specific the workload, the easier it is to match to a support path.
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.
If you have a project, prepare:
Specific projects can unlock routes that generic credit requests do not.
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:
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.
Prepare:
If nobody owns the next step, the review stalls.
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:
The quiz takes about 60 seconds and helps route credits, discounts, terms, project funding, or funded help.
About the author
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.
Not always. A short evidence pack is usually enough for an initial review: company, funding, workload, usage, provider history, and what changes next.
Gross monthly usage, credits remaining, credit expiration date, services driving spend, and whether usage is expected to grow.
No. Prior AWS, Google Cloud, or Azure credits should be disclosed because they affect the realistic route.
The initial review should not cost the startup money if there is a realistic provider opportunity. Paid implementation is separate unless provider-funded.