DoiT

DoiT's Cloud Intelligence™ platform combines AI-driven FinOps automation with Forward Deployed Engineers to help organizations manage and reduce cloud and AI costs across AWS, Google Cloud, and Azure. It addresses the challenge of understanding where cloud and AI spending goes, particularly when costs are driven by Kubernetes workloads, LLM gateways, shared GPU clusters, and AI agents that lack traditional tagging. The platform reads runtime data to attribute costs to the workloads, teams, products, and customers that generated them.

Key capabilities include Attribute™, an AI cost attribution module that uses an eBPF sensor to trace tokens, inference calls, and training runs back to their source without requiring code changes or tags. It supports managed and self-hosted LLM gateways across OpenAI, Azure OpenAI, Bedrock, Anthropic, and Google Vertex AI, and separates human from non-human (agent) traffic. Other modules include PerfectScale for Kubernetes rightsizing and automation, data platform optimization for Snowflake, Databricks, and BigQuery, commitment management for AWS, GCP, and Azure, anomaly detection, and CloudFlow for automated FinOps workflows. The platform integrates with 40+ SaaS tools and offers SOC 2, ISO 27001, and GDPR compliance.

DoiT is built for enterprise FinOps, platform engineering, and product teams managing multi-cloud environments and AI workloads. Forward Deployed Engineers, senior cloud architects embedded with customer teams, provide expertise across Kubernetes, LLM/ML, data platforms, databases, serverless, networking, and AWS. The platform is available through cloud marketplaces, and Attribute™ can be deployed with a lightweight sensor install.