Three control rooms. One event. We're the layer that connects them.
Your cost spike, your performance incident, and your security alert are often the same root cause wearing three disguises. Everyone else watches them in separate tools. CloudBrick correlates all three — and acts on what it finds.
Watching three signal streams for a shared root cause
—
confidence
One model. Three teams would file three tickets. Watch what one correlated view does instead.
Forged in enterprise AI environments
EYNTT DataLTIMindtreeSLKHarman
0%
Cloud waste cut, on average
0%
Alert noise removed before paging
0%
Faster incident resolution
0
From kickoff to first findings
The CloudBrick method
We call it the Three-Lens Join. Nobody else runs operations this way.
"Fully managed" and "AI-powered" are table stakes — every provider says them. Our difference is structural, not a feature list.
1THE JOIN
Cost, ops & security on one model — not three silos.
The industry buys FinOps, AIOps and SecOps as separate products from separate vendors. The signals never meet. We run one correlation layer across all three, because the costliest problems hide in the gaps between them.
A cost spike that's really a breach gets caught as a breach — not filed as a billing question.
2THE TRUST
We never auto-fix on day one. We earn the right to act.
Roughly one in three autonomous-remediation rollouts fail because someone trusted the automation too early. We run every action in shadow mode first — logging exactly what we'd do, for weeks, reviewed with your team — before one automated fix goes live.
You watch our judgement proven against your real traffic before you hand us the keys.
3THE STAKE
Our fee rides on the outcome, not the headcount.
Most providers bill per device, per ticket, per hour — they profit when you have more problems. We tie our engagement to the outcomes you actually care about: spend reduced, uptime held, audit passed.
If we don't move the number we promised, that's our problem to fix — not your next invoice.
The trust ladder
We don't touch production until we've proven we should.
Every engagement climbs the same four rungs. You decide when we move up — never us.
See it on your numbers
How much is your cloud quietly leaking?
Move the slider to your monthly cloud spend. This is the waste most teams carry before anyone goes looking — and roughly what we recover.
Your cloud, today
Two quick inputs. No email required.
Estimated recoverable / year
$192,000
That's roughly what's slipping through idle resources, oversizing and untracked AI spend.
Likely monthly waste$16,000
Recoverable in first 90 days$38,400
Wasted hours of toil saved / mo40+
Illustrative, based on typical CloudBrick engagements. Your free war-game audit replaces these estimates with your actual numbers.
The stack
Named tools, not vague magic. Here's what's actually running.
Our proprietary layer does the correlation, judgement and automation. It rides on a battle-tested open foundation — which is why there's no per-host license tax to pass on to you.
CloudBrick proprietary layer
Mesh
correlation core
The layer that joins cost, ops and security signals into one event model. The heart of the Three-Lens Join.
Converge
incident AI
Collapses alert floods into real incidents, writes the root-cause in plain language, and proposes the fix.
Ledger
cost brain
Real-time multi-cloud and AI-token cost intelligence, with the rightsizing and commitment engine.
Aegis
posture engine
Continuous compliance scoring and threat detection mapped to SOC 2, ISO, GDPR, HIPAA, DPDP and RBI.
Proving Ground
shadow-mode
Runs every automated action in simulation against your real traffic — for weeks — before it ever touches production.
Built on an open foundation
No proprietary agent lock-in, no per-host license tax. We deploy, tune and operate the best open-source observability and security stack — so you own your data and your telemetry, and we pass the savings straight through. Here's exactly what sits where.
When to call us
If any of this sounds like your week, we should talk.
These are the moments companies reach out. You'll probably recognize at least one.
?
The situation
"Our cloud bill jumped 30% last quarter and nobody can tell me exactly why."
What we do
We trace every rupee to a team, project and resource, surface the waste, and cut the obvious 20–35% in the first weeks — then watch it so it never creeps back.Ledger
?
The situation
"My on-call engineers are burning out. We get a thousand alerts a week and miss the one that matters."
What we do
We collapse the flood into the handful of real incidents, attach root-cause and context, and auto-resolve the known ones — so your team is only paged when a human is genuinely needed.Converge
?
The situation
"A big customer just asked for our SOC 2 report and we don't have our cloud controls in order."
What we do
We score your posture against the framework, fix the gaps, and hand you an audit-ready trail — then keep it above the line continuously, so the next request is a non-event.Aegis
?
The situation
"We're scaling fast but can't hire an SRE or platform team quickly enough to keep up."
What we do
We become your platform function on day one — monitoring, incident response and cost control fully run by us, while your engineers stay focused on product.Mesh + Converge
?
The situation
"Our AI features shipped, and now the OpenAI bill is huge and totally unpredictable."
What we do
We break AI spend down per team, project and model, catch the prompt bug that 10×'d a bill before the invoice lands, and cut cost with caching and model routing.Ledger
?
The situation
"We run cohorts of hundreds of learners and our cloud lab costs are out of control between classes."
What we do
We give every learner an isolated lab that spins up on demand and tears itself down the moment class ends — so you scale to thousands with idle cost at zero.Lab Environments
?
The situation
"We had a bad outage last week and still can't fully explain what caused it."
What we do
We reconstruct the timeline across cost, performance and security signals, name the true root cause, and turn it into a runbook so the same failure resolves itself next time.Mesh + Converge
?
The situation
"The board is asking about cloud efficiency and I don't have a credible answer yet."
What we do
We give you a board-ready view — spend per unit, waste eliminated, uptime held, posture trend — and commit to the numbers, so you walk in with a story, not a spreadsheet of excuses.Ledger + Aegis
?
The situation
"We're moving to multi-cloud and our tooling and visibility are now a fragmented mess."
What we do
We unify AWS, Azure and GCP into one correlated view — cost, incidents and security across all of them in a single pane, instead of three dashboards that don't agree.Mesh
Different symptom, same root question: is something in your cloud quietly costing you money, uptime or trust? That's the war-game audit's job to answer.
What we run for you
Every service feeds the same correlation brain.
Not separate products bolted together — lenses on one live model of your cloud. That's why a signal in one instantly sharpens the others. And the same brain now reaches a new frontier: your AI agents.
Run by us, end to end
One team watching cost, reliability and security on the same screen — not three vendors trading tickets.
Cost
Cloud Cost Intelligence
// powered by Ledger
Real-time spend across AWS, Azure and GCP, waste cut automatically. The edge: when a spike is really a runaway job or a breach, we already know — because cost talks to ops and security.
Catches the spike and its real cause
Reliability
AI Incident Response
// powered by Converge
We collapse alert floods into the few real incidents, name the root cause in plain language, and fix the known ones before you're paged — with cost and security context attached, not just logs.
Root cause, not a louder alarm
Security
Security & Compliance Posture
// powered by Aegis
Continuous posture scoring against the frameworks that apply to you — SOC 2, ISO 27001, GDPR, HIPAA, DPDP, RBI. Misconfigurations and exposure caught the moment they appear, with an audit-ready trail.
Audit-ready, every region, continuously
Visibility
Managed Observability
// teams without an SRE
Logs, metrics and traces, fully set up and run by us on an open foundation — no per-host licensing tax. We become the SRE function you haven't hired, feeding the same correlation brain.
Your SRE team, on tap
AI workloads
AI Spend Intelligence
// teams building with AI
Token-level cost visibility across OpenAI, Anthropic, Bedrock and Vertex — per team, per project, per model. We catch the prompt bug that 10×'d your bill before the invoice does.
The new line item, finally legible
EdTech
Lab Environments for EdTech
// training + skilling providers
Give every learner an instant cloud lab — GPU notebooks, isolated practice machines — that spins up on demand and tears itself down the moment class ends, so idle never hits your bill.
Scales to thousands, idle-cost to zero
The frontier · emerging
Agent Operations
// for teams putting AI agents into production
Everyone is racing to build AI agents. Almost no one is ready to run them safely in production — where they burn unpredictable money, fail silently, and take autonomous actions no one is watching. Agent Operations is the same correlation brain that runs your cloud, pointed at your agents: it watches what they spend, catches how they fail, and enforces what they're allowed to do.
AegisAgent guardrails — scope, permissions, and an audit trail of every action.
Proving GroundEarns autonomy in shadow mode first — agents prove themselves before they act.
Our promise
We don't sell you effort. We sell you the result.
The old managed-services model bills for hours worked and devices watched — the provider quietly profits when your problems multiply. We think that's backwards. We anchor the engagement to outcomes you'd actually put in a board update.
"We detected and resolved it before you noticed" is the only status update worth sending. We build the whole relationship around earning the right to say it.
Spend, reducedWe commit to a target cut — and report against it every month.
Uptime, heldResolution-time and availability targets we're accountable to.
Audit, passedPosture kept above the line your auditors and customers demand.
The honest comparison
Three ways to run cloud operations. Only one is us.
The question that matters
CloudBrick
Tools & other MSPs
Do cost, ops & security talk to each other?
One correlated brain
Three separate silos
When does automation touch production?
After it's proven in shadow
Day one, fingers crossed
What are you actually paying for?
The outcome
Hours, tickets, devices
Who runs it day to day?
Our team, end to end
You staff & integrate
Does it act, or just alert?
Fixes, with guardrails
Alerts — then it's on you
Before you ask
The questions every team asks us first.
Will you make changes to our production systems?
Not until you say so. Every engagement starts read-only, then runs in shadow mode — logging what we'd do without doing it — for weeks. We only act on production once you've seen our judgement proven against your real traffic and explicitly moved us up the trust ladder.
Do we have to rip out our existing tools?
No. Mesh sits on top of what you already run — CloudWatch, Prometheus, your existing monitoring and cloud accounts. We connect, correlate and add what's missing. No rip-and-replace, no proprietary agent lock-in.
How fast do we see value?
The free war-game audit delivers findings in about two weeks — concrete waste, risks and quick wins, read-only. Most teams see the first cost cuts within the first month of going live, because the early wins (idle resources, oversizing, orphaned storage) are low-risk and fast.
Where does our data live?
In your region, in your accounts. We operate the open-source observability stack inside your environment where it matters, so you own your telemetry and your data residency obligations are met — whether that's the EU, US, India or elsewhere.
What size company is this for?
Growing companies that have enterprise-scale cloud problems before they have an enterprise-scale platform team — typically from Series A through mid-market and scale-ups. If you're spending real money on cloud but can't justify a full FinOps, SRE and SecOps team each, you're exactly who we built this for.
What if you don't find anything worth fixing?
Then you keep the audit findings for free and we shake hands — no obligation either way. In practice, the audit almost always surfaces meaningful savings or risk, because no single tool was looking across cost, reliability and security at once. That's the whole point.
One model · three lenses
The room where cost, reliability and security finally meet.
Your cloud is already sending the signals. CloudBrick is the layer that hears all three at once — and turns the collision into a single, explained event.
The war-game audit
Let us find the event your three tools are about to miss.
In two weeks, read-only, we map your cloud and show you where cost, reliability and security are quietly colliding — the problems no single tool is looking for. No commitment. You keep the findings either way.
