Hazel is a SaaS platform that aggregates usage and billing data from AWS, Azure, GCP and hybrid cloud environments into a unified view. It applies rule‑based and machine‑learning analyses to detect idle resources, over‑provisioned services, and cost anomalies, then generates rightsizing and commitment recommendations with projected savings. The solution provides role‑based dashboards, real‑time alerts, and API/webhook integrations for automated remediation and reporting to support FinOps and finance teams.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises operating across multiple public cloud providers often lack a single source of truth for spend, making it difficult to detect idle resources, forecast budgets, and enforce financial governance. Fragmented billing data and manual analysis lead to overprovisioned workloads and unpredictable cloud costs.
Solution
Hazel delivers a SaaS platform that consolidates usage and billing data from AWS, Azure, GCP, and other clouds into a unified view. The system continuously runs rule‑based and machine‑learning analyses to surface underutilized instances, oversized storage, and other cost inefficiencies. It then generates rightsizing recommendations with estimated savings and ROI, and suggests optimal commitment plans such as reserved instances or savings plans. Users can apply these actions directly through integrated APIs or export them to existing automation pipelines. Real‑time anomaly detection alerts stakeholders to unexpected spend spikes, while role‑based dashboards provide engineering and finance teams with the metrics needed for transparent cost governance. The platform also supports export of detailed reports for audit and budgeting cycles.
Target Audience
The primary customers are cloud engineering and FinOps teams within mid‑size to large enterprises that manage multi‑cloud workloads and require centralized cost visibility and governance. Finance departments responsible for budgeting and cost allocation also benefit from the platform’s reporting and forecasting capabilities.
Features
- Native connectors and API ingest for AWS, Azure, GCP, and hybrid cloud environments, normalizing usage, pricing, and discount data.
- Automated waste detection engine combining threshold rules and predictive ML models to identify idle VMs, over‑provisioned storage, and underutilized services.
- Rightsizing engine that calculates optimal instance types, storage tiers, and scaling parameters, including projected monthly savings and payback periods.
- Commitment planning tool that evaluates reserved instance, savings plan, and volume discount options, presenting the most cost‑effective mix based on historical usage patterns.
- Real‑time cost anomaly alerts delivered via Slack, email, or webhook, with configurable thresholds and severity levels.
- Role‑based dashboards and customizable widgets for engineers, FinOps analysts, and finance managers, supporting drill‑down analysis and trend visualization.
- Integration with CI/CD pipelines, ticketing systems (Jira, ServiceNow), and third‑party FinOps platforms via RESTful API and webhooks for automated remediation.
- Exportable CSV/Excel reports and PDF executive summaries, compliant with SOC 2 and GDPR data handling standards.