AI-augmented cost optimization

Cut 30-50% off your cloud bill in 30 days. No dev team required.

Most startups quietly overpay AWS, Google Cloud, and their SaaS stack by six figures a year. We find it, cut it, and hand you back the runway - usually within a month, using AI-augmented analysis you can watch happen in real time.

Real case study Mid-sized videogame studio - 49% reduction in 8 weeks. $15,300/year saved. Real production infrastructure.

app.opexstream.com · Savings overview

Client dashboard preview

Monthly cloud spend

3000200010000MarAprMayJunJul

$2,600 $1,325

49% saved · 8 weeks

▼ -$1,275/mo

We audit the stacks growth-stage startups actually run on

AWS
Google Cloud
Azure
MongoDB Atlas
Cloudflare

30-50%

typical reduction on optimizable spend

2-4 weeks

from diagnostic call to final report

$15,300

saved for our first client, in 8 weeks

The problem

Your cloud bill is bigger than it should be.
You already know this.

You launched fast, scaled to hit growth targets, and the AWS bill grew with you. Then things shifted - a team pivoted, a project paused, an engineer left. And nobody has time to trace every dollar back to its source.

  • Every VC conversation ends with "extend runway"
  • Every board meeting has a slide about burn rate
  • You know some of the bill is waste - but which parts?
  • You don't have three weeks of engineering time to find out

Traditional options don't work

Cost-optimization SaaS

$500-3,000/mo. Shows charts. Doesn't do the work.

FinOps hire

$150K+/yr, 3 months to onboard. Overkill at your scale.

Big consultancies

Won't return calls for engagements under $100K.

Doing it yourself

Eats a founder-week you don't have.

The solution

That's what OpexStream does.

Specialist cost optimization for growth-stage startups. Deep infrastructure expertise plus AI-augmented analysis - 10x the speed of consultants, at a fraction of the price.

Waste your team hasn't looked at

Orphan EBS volumes, dormant NAT gateways, unused Reserved Instances, over-provisioned databases, forgotten dev environments. We audit every service, every region, every account.

AI speed, not consultant speed

Traditional cost optimization takes 6-12 weeks and $50K+. We deliver comparable insight in 2-4 weeks at 10-20% of the price - AI processes your usage data in hours, human judgment decides what matters.

You keep control

Every destructive action gets your explicit sign-off. We don't rug-pull your infrastructure and we don't lock you in. Everything is documented for a future FinOps handoff.

How it works

Four steps. Two to four weeks. Real savings.

1

Free 15-min diagnostic

Tell us your stack and rough spend. We tell you honestly if we can help and roughly how much we'd expect to save. No obligation.

2

Read-only audit (week 1)

You grant read-only access. We pull 6 months of usage, run our audit playbook across services and regions, and produce a costed findings list.

3

Guided execution (wks 2-3)

We walk you through each change. You watch, understand, approve, execute. Never destructive without explicit go-ahead. Everything reversible.

4

Handoff + monitoring

A report of exactly what changed and what was saved. Optional monthly monitoring to catch new drift - or take the report and run.

Typical total: 2-4 weeks from diagnostic call to final report
Case study

Real numbers from a real client.

$15,300

/year saved

Mid-sized videogame studio · 8 weeks cost optimization campaign

49%

monthly reduction

$2,600

monthly before

$1,325

monthly after

4 hrs

client time invested

What we found in 5 sessions

  • 24 dormant ECS services
    quietly billing on Fargate → paused
  • 6.4 TB of orphan EBS volumes
    DeleteOnTermination=false leftovers → $318/mo
  • 1 dormant MongoDB M10 cluster
    paused-but-not-deleted → $107/mo
  • NAT gateways across 4 regions
    idle → deleted → $120/mo
  • 18 orphan Elastic IPs
    released across 7 regions
  • Multiple orphan load balancers
    deleted → $66/mo
Pricing

Simple pricing. Real value.

Choose the engagement shape that fits your cash-flow reality.

Diagnostic

Free

15-minute call

See if we can help.

  • Assess fit for engagement
  • Honest yes/no verdict
  • Rough savings estimate
  • Zero obligation
Request a call

Monthly Monitoring

$200/mo

post-audit

Keep the discipline going.

  • Monthly automated audit
  • Quarterly deep-dive session
  • Priority Slack/email access
  • Unusual spend alerts
Add after audit

Cloud bill $10K-30K/mo → $5,000 fixed fee / $500 monthly. Above $30K/mo → custom scope.

FAQ

Common questions

Isn't this what AWS Cost Explorer does for free?+

Cost Explorer shows what you spent - it's the X-ray. We're the surgeon: we investigate what's waste vs. necessary and do the actual deletion.

What about Vantage, ProsperOps, Densify?+

Great tools for teams with a dedicated FinOps engineer. If you don't have that person, tools alone don't do the work - someone has to interpret and act.

Can't AI do this without you?+

AI is a speed multiplier for analysis. But infrastructure has too many context-dependent judgment calls (which of these 4 databases can we actually kill?) for pure automation. Combined = fast + safe.

What if you break something?+

Every destructive action gets your explicit approval. All actions are reversible - snapshots, deregister-before-delete, staged rollout. We've never taken production down.

How do you keep our data safe?+

Read-only credentials wherever possible. Temporary users for anything needing write access, revoked after. Work happens live in your account - we don't export data. NDA on request.

What sizes of companies fit?+

Sweet spot: $5K-30K/mo cloud spend, 1-30 engineers, no dedicated FinOps person, and either runway pressure or general cost consciousness.

About

Who's behind this

Stephen, founder of OpexStream, holding an industry award on stage

Stephen

Founder & Principal Consultant

Stephen is the founder of OpexStream, who over the past decade has led multidisciplinary teams of up to 55 people across engineering, design, production and operations - shipping and running commercial products used by hundreds of thousands of people worldwide.

Building products at that scale means owning both the infrastructure and the bill that comes with it. Stephen has architected, deployed, scaled and operated production systems on AWS, MongoDB, Cloudflare and modern web stacks - and stayed accountable for what they cost, month after month, including through a large live-service platform built for hundreds of thousands of users.

OpexStream distills that experience into a repeatable process. The methodology was developed managing real production infrastructure under real budget pressure - not written up in a consulting whitepaper. Every finding, every optimization, every step is something Stephen has run on systems he was personally responsible for.

Stop overpaying. Start knowing.

15 minutes of your time, free of charge. If we can help, you'll leave with a rough savings estimate. If we can't, you'll know that too - no push, no upsell.

Request your free diagnostic