Built by infrastructure operators.
The team behind Latens has spent 5 years operating performance-sensitive infrastructure: distributed systems, high-availability nodes, latency-sensitive operations, monitoring, and cost-efficient compute. Latens brings that operational discipline to AI inference.
Latens is an AI inference infrastructure company focused on dedicated deployments for open-weight and open-source models.
Distributed systems experience
Infrastructure designed for deployment-specific, latency-sensitive workloads across supported regions.
Operational reliability
Monitoring, incident response, production support workflows, and a 99.95% monthly availability SLO for covered dedicated production deployments.
Cost-aware compute
Serving strategies focused on efficiency, utilization, and predictable inference costs.
Operational discipline applied to AI inference.
We treat inference the way mature infrastructure teams treat any latency-sensitive production system: measure, tune, isolate, support, and run it like infrastructure — not a demo.
Measurement-first
Latency, throughput, utilization, and per-token cost as first-class signals — never assumed.
Workload-specific tuning
Serving configuration matched to each workload profile rather than one-size-fits-all defaults.
Predictable performance
Capacity planning, isolation, and deployment-specific regional placement that hold up under real traffic.
Long-term cost control
Architectural choices that compound into structurally lower inference costs over time.
Production support posture
For covered dedicated production deployments, Latens targets a 99.95% monthly availability SLO and provides a 6-hour initial response Support SLA for covered production incidents. Support response targets are initial response targets, not resolution guarantees.