DoiT Cloud Intelligence

DoiT was founded in 2011 and received its first outside investment of over USD 100 million from Charlesbank in 2019. It operates legal entities in the United States, Israel, Europe, Singapore, Indonesia, Japan and Australia, and serves 4,000+ customers in more than 75 countries. Its focus is helping cloud-native companies understand, allocate and reduce cloud and AI spending.

Cloud Intelligence allocates shared cloud spend to customers, teams, features and AI agents using runtime traffic data from a lightweight eBPF sensor deployed via Helm, combined with billing integrations, instead of relying on resource tags. Modules include cost-to-serve and margin analysis, showback and chargeback, anomaly alerts that name the cause, Insights with 800+ checks, BigQuery and autonomous Kubernetes optimization, AI spend tracking and an AI assistant that connects to MCP servers. It covers AWS, Google Cloud, Azure, Oracle Cloud, Alibaba Cloud, Tencent Cloud, Snowflake, Databricks, OpenAI, Anthropic and more.

• Tagless allocation: Uses an eBPF sensor and billing data to attribute shared costs to customers, teams and features.
• Cost-to-serve and margin: Calculates COGS and margin per customer for showback and chargeback.
• Anomaly detection: Alerts on spend spikes and names the customer, feature and cause.
• Insights: Runs 800+ optimization checks and tracks realized savings from resolved findings.
• AI Hub: Brings costs from AI providers, coding tools and GPU clouds into one view.
• AI assistant and MCP: Investigates spend across connected tools with approval-gated write actions.

A Vietnamese B2B SaaS company can measure the cost to serve each enterprise client on shared Kubernetes clusters. A gaming or e-commerce platform on Google Cloud can control BigQuery spending and catch anomalies early. An AI team can track OpenAI, Anthropic and GPU rental costs per product feature.

Runtime attribution allocates 100% of spend without tags and deploys in about 15 minutes with no code changes, according to the site. Per-customer cost-to-serve and margin views help SaaS companies price products more accurately. Anomaly alerts identify the customer, feature and cause, shortening investigation time. A free start with no credit card lets teams test before buying.

The site cites Gartner (2025) that mature tagging programs cover only 43% of cost, pushing FinOps toward tagless, runtime-based allocation. AI, GPU and data-cloud spending now sits alongside hyperscaler bills, and DoiT's entities in Singapore and Indonesia reflect demand from Southeast Asian cloud-native companies.

Founded in 2011; first outside investment of over USD 100 million from Charlesbank in November 2019. In March 2025 it set up a USD 250 million fund to acquire AI-driven CloudOps companies, building on the PerfectScale and LiveDiagrams acquisitions. APAC entities in Singapore, Jakarta, Tokyo and Melbourne. SOC 2 Type 2 and ISO 27001.