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.

Discuss Our Vision