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Trusted in production by enterprise cloud teams
Proven on enterprise infrastructure at scale
FinOps tools surface the savings and stop there. Your engineers must check each one, make the change, and own the fallout. Most recommendations are too noisy, too much effort, or not worth the risk, so they sit in the backlog.
Under the surface of each line:
Generic FinOps tools
The realization gap: three quarters of what is found never reaches the bill.
A recommendation without the workload behind it is a guess nobody wants to act on.
Engineers need proof that a change is safe before they make it.
Every fix means tickets, change windows and someone's afternoon.
A wrong call means an outage, so the rational choice is to do nothing.
Lucidity closes the gap.
AI agents find deeper savings, check which are safe for your workloads, and make the changes with your approval. Your engineers stop being the bottleneck.
Lucidity's AI agents handle every step between a savings opportunity and your bill, inside the guardrails you set.
AI agents read how your cloud is really used, not just what it bills, and find the savings generic FinOps tools miss.
20% of cloud spend found by generic FinOps tools40% found by Lucidity
Most FinOps tools stop here.
AI agents add workload context to each opportunity and decide which ones are real and safe to act on, so you only see changes you can trust.
AI agents make the change once you approve, or on their own for the actions you choose. Every change is monitored, verified, logged and reversible.
Most FinOps tools stop here.
prod-sql-02 data disk
Premium SSD, 2 TiB provisioned
IOPS p95 410 of 7,500
Throughput p95 38 of 250 MB/s
Premium SSD 2 TiBStandard SSD 512 GiB
Approved by platform team
Window Sat 02:00 to 04:00 UTC
$259.05 $38.40 a month
Latency p95 steady after the change
Each module puts the AI Action Engine to work on one kind of cloud waste: it finds deeper savings, checks which are safe and acts on them. Storage modules are live today, compute is next, and more are on the way.
The only platform that shrinks a live disk without downtime.
Uses ML to predict each workload's capacity and performance needs, then expands a disk before it fills and shrinks it when it is over-provisioned, with no code changes.
30% to 76% average disk utilization
Put every disk on the tier the application actually needs.
Scores every volume against 30, 60 and 90 days of real IOPS, throughput and latency, lets you simulate cost and performance side by side, then re-tiers hundreds of disks in bulk without downtime.
44% to 97% tiering efficiency
Find the idle disks your console won't show.
Goes beyond unattached volumes to reserved, unmounted and zero-I/O disks, with the cost and dormancy of each, then cleans up safely in one click.
Up to 65% of idle disks hide from native tools
Map every storage account by what it really costs.
Turns every connected Azure storage account into a heatmap sized by terabytes and coloured by spend, access tier, savings or your own tags, with AI analytics that show where the savings are and why.
Four views of your fleet
Bring object storage out of the black box.
Reads real access patterns across accounts, containers and prefixes, moves blob data to the right access tier and flags lifecycle, redundancy and config waste, without disrupting access.
Account, container and prefix-level analytics
Stop paying for blob storage no one is using.
Finds geo-redundancy on accounts with zero transactions, premium accounts that never needed premium and accounts with no activity at all, with risk-scored, one-click fixes applied in Azure.
40+ governance checks
Define guardrails for your organization, an environment, an account or a tag. They carry down the estate on their own, and every action Lucidity proposes is checked against them, explained and logged before anything changes.
Action queueWe used to spend countless hours provisioning our cloud block storage. With Lucidity, we were able to not only free up that time by automating our storage management, but were able to save significant cost on our annual block storage spend.
Brian LupsonDirector of Operations and GovernanceAudit logIt is the engine behind every Lucidity module. AI agents find savings other tools miss, add the context to know which changes are safe for your workloads, make the change with your approval and verify the savings on your bill.
Dashboards and native advisors read the bill and stop at the recommendation. Generic FinOps tools surface savings worth about 20% of cloud spend, and only about 5% reaches the bill. Lucidity finds deeper savings, tells you which are safe to act on, then makes the change and verifies it.
Block and object storage today, through Disk AutoScaler, Disk Tiering, Disk Cleanup, Object Mapping, Object Tiering and Object Drift. Compute Rightsizing is next, and more savings modules are on the way, all on the same AI Action Engine.
AWS, Microsoft Azure and Google Cloud.
Every action runs inside the guardrails you set: approvals, change windows and policies per account, environment or team. Each change is monitored after it lands, logged, and reversible, and live disk changes run with zero downtime.
Yes. You choose whether Lucidity only recommends, waits for a one-click approval, or acts on its own for the actions you pick, and you can change that at any time.
No. Lucidity never reads, copies or moves your application data. It works from infrastructure metadata through your cloud provider's APIs.
Yes. Lucidity is SOC 2 Type II certified.
Start with the free assessment. You connect read-only access in about 15 minutes, and Lucidity shows you the savings it finds and which ones are safe to act on. Nothing changes until you approve it.
Book a demo and see what Lucidity's AI agents would deliver in your environment.
Free assessmentNothing changes until you approve it.
