Cindy ready · Awaiting operational intent ALL DOMAINS
The Agentic Operations Platform

One Platform.
Every Operation.

Modern enterprises don't suffer from a shortage of tools; they suffer from fragmented operational visibility.

EveryOps connects applications, infrastructure, costs, security, dependencies, and workflows into a single Operational Decision Intelligence: the shared operational context for enterprise decisions. Cindy reasons across it. SCOR evaluates. Humans approve. EveryOps executes.

Your data remains yours Cindy retains no operational data You approve every consequential action

From enterprise systems to governed action.

Your existing stack feeds the Operational Decision Intelligence: one living model of your entire operation. Cindy reasons across it, recommends action, and orchestrates execution. Nothing consequential happens without human approval.

Bring Your Own Tools
Cloud & infrastructure
IaC & pipelines
MCP server
Observability
ITSM & ticketing
Security signals
One operational system
OPERATIONAL DECISION INTELLIGENCE
Reasons across all operational domains
Federate. Never replace.
Your tools connect as one living model. Cindy reasons across all five domains at once: DevOps, SecOps, SREOps, FinOps, and InfraOps.
Governed action
Recommendation
An evidence-based recommendation, accompanied by the reasoning behind it.
Approval
A human approves every consequential action. Maker / checker.
Action
Carried out through your identity. Every action immutably recorded.

Cindy does the reasoning. The Operational Decision Intelligence is the shared context. SCOR (Security, Cost, Operations, Resilience) is the calibration layer applied before anything executes. Nothing consequential happens without human approval.

How does EveryOps decide what to do?

Every consequential action is governed by the EveryOps SCOR index (Security, Cost, Operations, Resilience), the calibration applied before it executes. Four consequences, evaluated together, every time.

Traditional AI
Deploy checkout service?
Executing without contextual evaluation.
One dimension. No questions asked.
EveryOps
Deploy checkout service?
Security Cost Operations Resilience
Evaluating operational consequences.
Four operational consequences, evaluated before acting.
Security What does this expose?
Does this open an attack surface, widen access, or touch sensitive data? SCOR validates it against your active policy (SOC 2, PCI-DSS, NIST) before it executes.
Cost What does this spend?
What does this cost to run, now and to keep running? SCOR models the cost delta against your budget envelope before anything executes.
Operations What does this disrupt?
What does this touch, and will it deploy cleanly? SCOR maps the blast radius across dependent systems and validates the change first.
Resilience What does this risk?
If this goes wrong, can it recover? SCOR checks SLO impact, a rollback path, and the headroom to absorb failure.

Every operational decision has four consequences. Most systems optimize only one. EveryOps evaluates all four before making any recommendation.

Unlike a policy engine that merely blocks, or an LLM that relies on probabilistic inference, SCOR evaluates all four consequences deterministically, before any action and on every operation, and hands your team a verdict it can defend.

Watch SCOR evaluate.

Select an operation below. SCOR scores each of the four consequences from 0 to 100 (higher is safer), corrects what it can, and settles on a verdict before any action is recommended.

Each is a real operational action; pick one to watch SCOR evaluate all four consequences before it executes.

SCOR · evaluating four consequencesOperation · Deploy checkout
Scenario
SSecurity
Evaluating exposure…
/100
CCost
Evaluating spend…
/100
OOperations
Evaluating impact…
/100
RResilience
Evaluating risk…
/100
Evaluating SCOR is evaluating four consequences…
Approval required Approved Executed Recorded
Human approval, always Bring your own tools Full audit trail Cross-domain intelligence

When four operational consequences are evaluated together, the business gains four enduring advantages.

Risk, prevented before it executes

No consequential change reaches production without its blast radius, cost, and failure modes evaluated first. The incident that would have happened gets caught in advance.

Governance you can prove

Every decision SCOR touches leaves a record of why: which policy applied, what was evaluated, and who approved. When an auditor asks, the answer already exists.

Accelerated execution

Evaluating four consequences makes you faster. The evaluation that once required three teams and a meeting reaches your approver already justified.

Four tensions, held in balance

Security, cost, operations, and resilience usually trade off against each other. SCOR holds all four in view at once, so you stop optimizing one at the silent expense of another.

One application. Ninety days. The score improves.

SCOR is not merely a dashboard metric; it's a score the platform actively improves. Across one 90-day window, a single Tier-1 application ran 147 governed actions, each evaluated against all four dimensions before execution, and its score improved from 66 to 90.

147 governed actions Every action human-approved Full audit trail One Tier-1 application
Day 0 · baseline
66
Below target
+24 90 days
Day 90 · with Cindy
90
Excellent
SSecurity
6487+23
Closed 23 over-permissive IAM policies. Auto-remediated drift on 8 PCI-scope resources.
CCost
7189+18
Right-sized 14 idle instances. Blocked 6 inefficient provisions at the IaC stage.
OOperations
7291+19
Auto-validated 312 deploys against policy. Manual approval queue eliminated.
RResilience
5892+34
Predicted and prevented 4 SLO breaches. Auto-scaled the connection pool 11 times.
Net SCOR improvement: +24 points (66 → 90). Every action checked against all four dimensions before execution; no improvement bought at another's expense.

Watch one signal resolve.

The same model, operating. Here is exactly what happens when EveryOps receives a signal, step by step, governed throughout.

01
The signal

Checkout abandonment is climbing.

Conversion is dropping in real time. Revenue is walking out the door, and no single tool can say why.

02
The model

Scattered signals become one system.

Each tool sees a fragment. EveryOps connects them as they are into a single live model: the Operational Decision Intelligence.

03
The reasoning

Cindy reasons across all of it.

Cindy correlates a recent deployment, CPU saturation, and an anomalous traffic pattern: signals three teams had each been watching alone.

04
The decision

Cindy recommends. A human approves.

Cindy proposes three actions: roll back the deployment, scale the service, flag the anomaly. Each is staged for a human to approve before execution. Cindy does not act alone.

05
The action

Executed within your controls.

The approved change runs in your environment, inside the permissions your teams already govern. Cindy holds no standing access of its own, and the audit record writes itself.

06
The outcome

Checkout recovers. Revenue holds.

The latency clears, and the revenue that was walking out the door stays. Resolved before it became an escalation, and every step is on record: who approved what, and why. One signal, governed from detection to resolution.

What is fragmentation really costing you?

Five panels, one per domain. Set the dials to match your environment, and Cindy estimates what fragmentation is costing you.

FinOps · the overspend tax

The money you're quietly overpaying.

Move the dials. Cindy will name how much of your cloud bill is going to oversized compute, idle resources, and on-demand pricing that should be committed.

in your browser
Your shape
Monthly AWS spend $500,000
$50K$1M$5M
Workload mix
Active regions3
ML / inference workloads
Steady traffic (vs spiky)
Cindy
waiting
RESTING
What I think we could find
$0
Move the dials and I'll tell you
Bigger than they need to becompute, databases, the usual
$0
Forgotten in the cornersstorage, replicas, addresses
$0
Paying on-demand instead of committed pricingyour steady baseline
$0
ML workload overheadyour ML workloads
$0
Runs entirely in your browser Private to this session Directional estimate, not a quote
DevOps · the time tax

The hours you're quietly losing.

Move the dials. Cindy will name how much engineer time is disappearing into drift, gate-keeping, and chasing what shipped against what was intended.

in your browser
Your shape
Services in production 80
5100500
Deploys per week 40
550200
How often does drift surface?
Manual approval gates per deploy
Cindy
waiting
RESTING
Engineer-hours leaking per week
0h
Move the dials and Cindy will tell you
Drift archaeologychasing declaration vs. reality
0h
Manual gate-keepingapprovals, sign-offs, hand-offs
0h
Reconciling shipped vs. intendedwhat was supposed to happen
0h
Context-switching across toolsthe tax nobody measures
0h
Runs entirely in your browser Private to this session Directional estimate, not a quote
SecOps · the reconciliation tax

The week you're spending on dashboards.

Move the dials. Cindy will name how much of your security team's week is disappearing into reconciliation, before anyone can answer "where do we stand."

in your browser
Your shape
Security tools in your stack 8
31020
Vulnerabilities reported per month 200
102001000+
Compliance frameworks you maintain
How long to answer "what's our posture?"
Cindy
waiting
RESTING
Hours a week, just reconciling
0h
Move the dials and Cindy will tell you
Reconciling across toolsbefore anyone can decide anything
0h
Triage backlogvulns waiting to be looked at
0h
Evidence gatheringaudit prep that should be ambient
0h
Answering leadershipthe question that won't wait
0h
Runs entirely in your browser Private to this session Directional estimate, not a quote
SREOps · the safety tax

The headroom you're paying for, just in case.

Move the dials. Cindy will name how much capacity you're over-buying as a safety margin, and how many on-call hours absorb pages that never needed to happen.

in your browser
Your shape
Services with SLOs 40
550200
Capacity buffer you carry 40%
10%40%80%
Pages per week 10
11050
Average incident duration
Cindy
waiting
RESTING
Monthly headroom you didn't need
$0
Move the dials and Cindy will tell you
Over-provisioned headroomcompute you're buying for "just in case"
$0
Avoidable page volumenoise that should've stayed quiet
0h
Incident time that could've been minutesthe cost of late context
0h
The cost of unpredictabilitycapacity bought to feel safe
$0
Runs entirely in your browser Private to this session Directional estimate, not a quote
InfraOps · the friction of the in-between

The time your infrastructure layer silently consumes.

Move the dials. Cindy will name how much of your week disappears into stitching automation tools, reconciling clouds, and writing the same audit trail three times.

in your browser
Your shape
Infra automation tools in use
Cloud accounts & projects 25
550200
Infrastructure changes per week 20
530100
ITSM tools you bridge to
Cindy
waiting
RESTING
Hours a week, reconciling your infrastructure layer
0h
Move the dials and Cindy will tell you
Stitching automation tools togetherTerraform here, Ansible there, no shared state
0h
Context-switching across cloudsmoving between accounts that don't talk
0h
Audit trails written N timesone change, three ITSM records
0h
Governance drift, quietly accumulatingthe policy you wrote, applied unevenly
0h
Runs entirely in your browser Private to this session Directional estimate, not a quote

Ready to see EveryOps against your real environment?

Those were your dials, in your browser. Book a demo and watch Cindy reason across a slice of your real operations.

Book a Demo →

Deploy EveryOps, and you stay in control.

Enterprise buyers don't ask whether to trust an AI; they ask who is in control when it acts. With EveryOps, your tools remain yours, your data never leaves your perimeter, and nothing consequential runs without human approval.

Lower MTTR
Emerging failures, identified before they escalate to incidents.
Less spend
Recoverable cloud waste, identified and quantified across your estate.
Higher reliability
Configuration drift and risk, detected before they reach production.
One view
All five operational domains, correlated in a single operational model.
Sovereignty by design
Our own purpose-built LLM, hosted in your data center.
Your data remains yours
Your code, telemetry, spend, and security data never leave your perimeter.
Zero hallucination
Cindy answers operational questions from your own data, grounded in what is real.
Bring your own tools
The stack you already run stays in place. EveryOps sits on top and governs it.

Ask Cindy your first question.

One Platform. Every Operation. Reason across your stack, govern every action, ship without breaking what came before.

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CINDY