GreenShift provides a cloud operating system that unifies full‑stack telemetry across AWS, Azure, and GCP and adds carbon‑aware automation to DevOps pipelines. Its machine‑learning engine forecasts renewable energy availability and carbon intensity, automatically shifting or throttling workloads to meet cost, performance, and emissions targets while delivering a single dashboard and API for FinOps and ESG reporting.
Funding
Funding not disclosed
Founders
Product
Problem
Cloud workloads generate rapidly increasing carbon emissions and incur high operational costs, yet enterprises lack unified visibility across infrastructure, application code, and carbon impact. Existing tools focus on isolated metrics, requiring manual effort to align performance, cost, and sustainability goals.
Solution
GreenShift delivers an operating system for sustainable cloud computing that unifies full‑stack telemetry, real‑time optimization, and carbon‑aware automation. By integrating directly with AWS, Azure, and GCP as well as CI/CD pipelines, the platform continuously maps infrastructure, application logic, and emissions hotspots. Machine‑learning models forecast renewable‑energy availability and carbon intensity, enabling the engine to shift or throttle workloads to greener periods while preserving performance SLAs. Cost, performance, and carbon metrics are consolidated into a single dashboard and exported via APIs for FinOps and ESG reporting, allowing organizations to achieve measurable reductions in energy use, spend, and CO₂ without additional engineering overhead.
Target Audience
The primary customers are cloud engineering and DevOps teams at mid‑size to large enterprises, along with FinOps analysts and sustainability/ESG officers who need integrated visibility and automated controls for cost, performance, and carbon reduction.
Features
- Multi‑cloud connector that auto‑discovers resources across AWS, Azure, and GCP and injects lightweight agents for real‑time telemetry
- ML‑driven carbon‑intensity forecasting that schedules compute jobs to align with low‑carbon windows or on‑site renewable supply
- Policy engine for automated scaling, right‑sizing, and workload migration based on cost, performance, and carbon thresholds defined in CI/CD pipelines
- Code‑level performance profiling that surfaces inefficiencies (e.g., idle CPU cycles, suboptimal queries) and suggests auto‑tuning actions
- Unified analytics dashboard with KPI widgets for cost, latency, energy consumption, and CO₂ emissions, plus exportable CSV/JSON reports for FinOps and ESG teams
- RESTful API and CLI integration for seamless embedding into existing DevOps toolchains, Terraform, and GitOps workflows
- Role‑based access control and end‑to‑end encryption to meet enterprise security and compliance standards (e.g., SOC 2, ISO 27001)