Product Roadmap
Explore our vision for the future of FinOps for machine learning and AI workloads.
Upcoming Milestones
Q3 2026: Auto‑Optimization
Automatic tuning of resource allocations and hyperparameters using reinforcement learning to maximise efficiency without manual intervention.
Q4 2026: Predictive Guard
AI‑driven forecasts of potential waste events days in advance, allowing preemptive scheduling and resource adjustments.
Q1 2027: Cross‑Cloud Policy Engine
Unified FinOps policies and guardrails across AWS, Azure and Google Cloud, enabling multi‑cloud governance from a single console.
Later 2027: Auto‑Scale GPU Pools
Dynamic GPU pooling that scales inference capacity up or down based on real‑time demand to minimise idle time.