We help you move cost-critical AI workloads to fixed-cost Kubernetes on your infrastructure - reducing cloud bill shock while maintaining control.
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We help you move cost-critical AI workloads to fixed-cost Kubernetes - reducing cloud bill shock through selective placement on your infrastructure.
AI Implementation & Product Engineering
We turn AI experiments into production systems running on your own hardware, and build the products around them.
Kube Hammer is Fizyonops' extensible Kubernetes operations engine. It runs as a desktop application, keeps cluster credentials on the operator's machine, and offers two AI modes for connected and air-gapped teams.
Explore Kube HammerFizyonAI Platform
Self-hosted intelligence that learns from your operations — with the governance, safety, and measurable improvement that enterprises require.
Per-tenant personas, blocked-topic guardrails, sampling caps and an instant kill switch — enforced in the live inference path, with a safe-rollout toggle so nothing changes until you enable it.
Immutable, hash-chained audit trail of every action, role-based access, per-tenant kill switch, and one-click SOC2 / HIPAA compliance report export for your auditors.
DPO fine-tuning turns your team's feedback into a model that gets measurably better at your operations over time — with shadow testing and automatic rollback if quality dips.
See exactly how each fine-tune performed: golden-scenario pass rates, reward accuracy, eval loss, and the measured quality & safety gain versus your production model.
Isolated tenants with per-customer model policies, quotas, rate limits and usage analytics — run many teams or clients on one self-hosted platform.
Built-in secret redaction, PII detection and configurable output filtering scrub sensitive data from every prompt and response — your data never leaves your infrastructure.
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Selective workload placement - not full cloud exit
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