Cloud Intelligence™Cloud Intelligence™

From alert to root cause to pull request

We don't send alerts. Get the diagnosed root cause, mapped blast radius, and a ready-to-approve fix. See it run on a live incident in your 30-minute demo.

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July 2026
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Trusted by teams running at scale

Finlex
Hippo
Island
Claroty
Salt Security
PropertyGuru
Accrete AI
Akamai
OneFootball
Raptive
Luma Health
Luxury Escapes

Built for CloudOps, FinOps, and SecOps

Every engineering team we talk to is drowning in disconnected signals. Your monitoring tool says a pod crashed. Your FinOps tool says Snowflake costs spiked. Your security scanner flags an open port. Knowing something broke is only a fraction of the job. We built an agent to fix that manual triage work.

  • CloudOps / SRE

    Stop manually cross-referencing monitoring, deployment, and code tools. The agent correlates the signals and proposes the fix.

  • FinOps

    Cost anomalies get traced back to the specific deployment or config change that caused them, not just flagged in a report.

  • SecOps

    Security findings are correlated with infrastructure context. Zero-permanent-access model means the agent itself isn't a risk vector.

Under the hood

Event Mesh & Change Ledger

When a cost anomaly or error spike triggers, the agent maps the blast radius automatically. It queries a unified change ledger, correlates the incident with recent infrastructure changes, and diagnoses root cause.

It doesn't just ping you with an alert. It generates the exact code fix or config change and proposes it in a pull request for you to approve.

Diagram showing the agent's event mesh and unified change ledger correlating cost anomalies, error spikes, and infrastructure changes
40%

minutes of SRE incident time is spent on manual triage

16+

tools cross-referenced per incident on average

0

zero access policy by design.

What they say

Finlex

DoiT gave us the confidence to move from experimentation to production. They helped us understand the right way to build AI for the real world.

Milad Rezazadeh, CTO

Hippo

Attribute™'s cost grouping technology took our cost visibility and allocation to a whole new level. Now, our teams are fully accountable for their budgets, significantly improving our cloud efficiency and helping us minimize unnecessary costs.

Eli Zilbershtein, Head of DevOps, Hippo

Island

You can't tag a customer in a multi-tenant environment. Attribute™ finally shows us what each customer costs and what's driving those costs.

Omri Cohen, Director of Engineering, Platform

Claroty

Attribute™'s data is truly unmatched. No other solution on the market could deliver the precise customer cost and usage profiles we needed in such a complex infrastructure. Within weeks, the data from Attribute™ transformed our understanding of cost structures, influencing key strategic decisions in pricing, renegotiations, and market positioning.

Jonathan Langer, COO, Claroty

Salt Security

Attribute™ simplified tracking customer costs in our multi-tenant environments. Customer cost measurement is now clear and standardized, and finance gets the business context they need. Integration was quick and required no changes.

Kfir Lippmann, CFO, Salt Security

PropertyGuru

Attribute™ translates complex cloud bills into actionable, business-centric insights that empower our engineering teams to take true ownership of their costs.

Balamurugan Mohandossgandhi, Head of IT and Infrastructure, PropertyGuru

Accrete AI

This has let us get a better idea of what our cost of goods sold really is. It's not every day you come across something that delivers value as quickly as yours did for us. I was seeing useful insights inside the POC, and we had only deployed it to a couple of real clusters.

Jason Moore, Principal DevOps Engineer, Accrete AI

Akamai

Eliminating the need to tag thousands of resources has freed up my team and we've invested our efforts in enhancing our platform significantly.

Ziv Sivan, VP of Engineering