Cloud waste detection and autonomous remediation platform
PointFive detects and autonomously fixes cloud infrastructure waste across AWS, Azure, GCP, Kubernetes, Snowflake, and Databricks. The tech stack reveals a sales-driven org scaling to enterprise: 12 open sales roles against 5 engineering positions, with 17 senior hires across the board, and active projects targeting Global 2000 accounts, hyperscaler partnerships, and repeatable POC motion. The product roadmap includes an AI-native platform refresh and endpoint-resident LLM governance — signaling a pivot from pure cost optimization toward AI spend visibility.
PointFive provides infrastructure efficiency management for engineering teams at mid-market and enterprise companies. The platform uses a proprietary infrastructure graph (InfraFabric) to map dependencies and ownership across multi-cloud environments, then identifies and autonomously remediates waste through 400+ detection types. Founded in 2023 and headquartered in New York, the company operates across the United States, United Kingdom, and Israel. The sales-led hiring velocity and focus on structured POC operations suggest an enterprise GTM motion targeting teams managing significant cloud footprints.
PointFive detects waste across AWS, Azure, GCP, Kubernetes, Snowflake, and Databricks through 400+ detection types covering idle resources, over-provisioned infrastructure, orphaned storage, and inefficient AI workloads.
Core platform: Go, Java, Python, C#, React, TypeScript, GraphQL, Temporal. Data: dbt, Snowflake. Infrastructure: AWS, Azure, GCP, Kubernetes. Sales/ops: Salesforce, HubSpot, Retool, Okta.
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PointFive's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.