Models are easy to run once. The hard part is the second year.
Beztly builds the operational layer around production AI: a control plane that serves open-weight models across every cloud you use, and isolated, audited inference infrastructure for teams developing models on fintech and healthcare data.
What we build
Two products, sold separately, built on the same conviction: the interesting work in applied AI happens after the model is chosen.
Deploy open-weight models as managed endpoints
Multi-cloud, multi-tenant control plane. Role-based access and quotas per tenant, failover across providers, autoscaling driven by live metrics, and canary releases you can roll back in one step.
KUVAI · MODEL DEVELOPMENTBuild fintech and healthcare models without the compliance scramble
Isolated sandbox, staging and production environments with automatic promotion gates, data residency and a lineage record — for teams whose data is financial or clinical.
Built for the team that has to operate it
Most AI tooling is designed for the person running the first experiment. Ours is designed for the person who gets paged about it eighteen months later.
That shapes everything: what we log, what we version, what we let you change without a deploy, and how loudly we tell you when something is drifting.
- Your accounts, your dataRun inside your cloud accounts and your VPCs. Beztly orchestrates; it does not become a place your data has to live.
- Isolation you can proveTenants, quotas and audit trails are first-class, not a later enterprise add-on.
- Reversible by defaultEvery rollout has a rollback. Every policy change is versioned and attributable.
Start with one endpoint or one model in development.
Evaluations run best when they are narrow. Tell us the workload that worries you most and we will scope a two-week pilot around it.