Reduce repeated spend
Exact caching handles identical prompts. Semantic analysis measures repeated intent and shows where reuse could save cost.
Private beta for teams doing repeated AI work
Metera turns repeated AI tasks into governed workflow memory, with semantic cache savings, explicit hardening controls, and browser-assisted capture for the tools your team already uses.
Core promise
Exact caching handles identical prompts. Semantic analysis measures repeated intent and shows where reuse could save cost.
Hardening presets, tenant boundaries, namespaces, and metadata checks keep reuse scoped to the right workload.
The browser bridge stages captures for review and saves workflow memory only after explicit user action.
One product, three suites
A governed AI proxy for OpenAI-compatible workloads. It adds exact cache, semantic/shadow cache, DLP, policy presets, request ledgers, tenant boundaries, and savings visibility.
A Chrome extension for ChatGPT and Claude workflows. It composes prompts from workflow memory, inserts only when clicked, captures selected/latest responses, and saves them back to Metera after review.
Persistent workflow memory for repeated technical tasks such as ROS setup, Ubuntu setup, deployment triage, implementation handoffs, and customer onboarding.
Beta posture
We are onboarding teams with repeated AI workflows who want safer reuse, cost visibility, and browser-assisted workflow memory.
Email joshua@getmetera.com