Cloud Intelligence™Cloud Intelligence™

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Meet our Customers

Learn how other teams are using Cloud Intelligence™ to streamline complex workflows, tighten operations, and deliver measurable outcomes.

Trusted by FinOps and platform engineering teams

Finlex
Hippo
Island
Claroty
Salt Security
PropertyGuru
Accrete AI
Akamai
OneFootball

Fast-growing teams run on Cloud Intelligence™

Logo of Finlex

Finlex、DoiTとの協業でクラウドコストを50%削減し本番AIを実装

MR
Milad RezazadehCTO

40%

可視性の向上と効率的なAIアーキテクチャによるコスト削減

Logo of Hippo

クラウドコストをチームの行動に変える──Hippoの挑戦

EZ
Eli ZilbershteinHead of DevOps, Hippo

Minutes

Attribute™とAWSの統合所要時間

Business unit

達成したコスト・アカウンタビリティの水準

Logo of Island

タグ付け不要。顧客別の真のコストが見える

OC
Omri CohenDirector of Engineering, Platform

$5B

企業評価額

Days

初期インサイト獲得までの時間

0

必要なタグ数

Logo of Claroty

Attribute™で実現する、顧客単位の精緻なコスト配賦

JL
Jonathan LangerCOO, Claroty

1,000+

世界中で保護中の顧客数

Days

初回の詳細コストレポートまでの期間

Zero

導入時の運用への影響

SaaS Leader

顧客単位のコスト按分が拓く、AIの価値ベース料金設定

SL
SaaS LeaderSaaS / ワークマネジメント・コラボレーション

~360

不採算アカウントを特定

$1.3M

の累計損失を可視化

7,500

の高コストアカウントを分析

Logo of Salt Security

COGS測定を標準化し、マージンと価格戦略を最適化

KL
Kfir LippmannCFO, Salt Security

1

CFOとDevOpsで共有するCOGSの標準化指標

0

Attribute™導入に必要なコード変更・タグ付け

Logo of PropertyGuru

クラウドコストの混沌を、エンジニアのオーナーシップへ

BM
Balamurugan MohandossgandhiPropertyGuru IT・インフラ部門責任者

32M+

月間サポート物件検索ユーザー数

2 weeks

導入から実用的インサイト獲得まで

Hours → Minutes

共有サービス請求の解読時間

Logo of Accrete AI

暗中模索のクラウドコストから、製品マージンの可視化へ

JM
Jason MoorePrincipal DevOps Engineer, Accrete AI

$46K

月間削減支出

$63K → $17K

1サービスあたりの月間コスト削減額

Days

導入から初回インサイト獲得までの期間

Logo of Akamai

タグ付けゼロでクラウドコストを完全可視化

ZS
Ziv SivanVP of Engineering

Zero

コスト配賦に必要なタグ数

Real-time

サービス単位のコスト可視化

PerfectScale
Logo of OneFootball

PerfectScale by DoiTがOneFootballのKubernetesを世界中のサッカートラフィックに合わせて最適化

AB
Andrea BenfattoPlatform/Cloud Runtime Engineering Manager

80%

Kubernetesのコスト最適化とレジリエンシーチューニングに費やすエンジニアリング工数の削減

Logo of Raptive

AWS RDS延長サポートコストを未然に防ぐ、Raptiveの仕組み

JF
Jon FairbanksSite Reliability Engineering Manager

~$10k/year

年間の延長サポートコスト回避額

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

OneFootball

PerfectScale by DoiT has become an important part of how we optimize Kubernetes at scale at OneFootball. It gives our platform team the visibility, automation, resiliency insights, and confidence we need to balance cost efficiency with production readiness, especially as we prepare for major global football moments like the 2026 FIFA World Cup.

Andrea Benfatto, Platform/Cloud Runtime Engineering Manager

Raptive

Cloudflow's new RDS End of Life alerts have allowed us to be more proactive on keeping our database instances up-to-date. The new solution gives us internal visibility ahead of time so that we can prepare for upgrades, instead of having to upgrade under pressure while incurring extended support costs.

Jon Fairbanks, Site Reliability Engineering Manager

Luma Health

PerfectScale cut 40% off our total EKS spend, and the automations handle what used to take our team 20 hours a month. Now we spend that time on reliability and performance instead of chasing cost metrics.

Caio Cristo, Director of Infrastructure/SRE

Luxury Escapes

What I really like about DoiT's approach is that you're very hands-on and proactive. Satyam would ping me a few times a sprint, letting me know about the most current features, checking in on how things are going. When we are going through a peak time, that proactiveness makes a real difference. Satyam always comes through whenever we need support and helps us leverage the right experts to get us where we need to be.

Chiamaka Ibeme, Engineering Manager, Platform

Personio

SELECT has made important cost data readily accessible. I will often pull it up during engineering design reviews so we can quickly evaluate cost impact and projections and factor that into our design decisions.

Douglas Zickuhr, Senior Data Platform Engineer at Personio

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