How Hyvop closes the loop.
Dashboards find waste. Nobody fixes it.
Who owns it?
Coordination tax
Regulatory blind spots
Costs keep accruing
Find waste your way
Built-in AWS, Azure and GCP detectors, with thresholds an administrator can adjust.
AI finds the right people, not just tags
Hyvop discovers each person, their title, and their perimeter. Then it knows who validates what, and in which order.
- 1Sarah Chen Platform Eng · Owns prod compute
- 2David Kim Eng Manager · Validates budget
- 3Mike Rivera SRE · Executes change
- iFinance FinOps · Informed
Investigator
Scorer
Assigner
Validator
One workflow per workload
Sensitive production?
Forgotten dev sandbox?
Regulated retention?
- 01Detect
- 02Identify
- 03ApproveOrdered validation
- 04Execute (planned)
- 05Verify (planned)
Policies in plain English
Write policies
Upload documents
Gate every action
Audit everything
Self-hosted by default, on your own cluster
Hyvop deploys on your Kubernetes cluster with your LLM keys. No shared SaaS tenant, no data export, no data exposure.
Self-hosted
Runs on your cluster with your LLM keys (BYOLLM).
- Your Kubernetes cluster
- Your LLM keys
- Model calls can stay inside your network
Your data never leaves your region.
Self-hosted with BYOLLM removes the biggest adoption blocker. No security review bottleneck, no data export concerns, no generative AI governance gates.
Your models, your data
Pair a powerful model with a cost-efficient one. Hyvop routes each task. Works with OpenAI, Azure OpenAI, and OpenAI-compatible APIs. AWS Bedrock is planned.
Dial up autonomy as trust grows
Advisor
Assisted
Autopilot
Realized savings, not potential
Planned for Enterprise: every fix reconciled against your actual cloud bill, with an audit trail.
Where Hyvop connects
Community and Starter ingest AWS, Azure and GCP (Community: one cloud account at a time); Pro adds Kubernetes; Enterprise has every ingestor, with Databricks, Snowflake and AI. GitHub is the code source that is built. The rest of this list is the planned scope.