Rochon
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Custom AI · Private Deployment · Edge Intelligence

AI that runs whereyour data lives.

We design, build and deploy custom AI for teams that need control: on their own servers, in a private cloud or directly on edge devices. Evaluated against your workload. Built around your constraints.

Your serversYour private cloudYour hardware
latency.p9514.2 ms
power.draw10.1 W
throughput148 tok/s

One gateway between your silicon and your software.

Every request, from a web workspace, an API client or a factory sensor, passes through one auditable routing layer inside your perimeter.

Measured on the silicon it runs on.

Benchmark suite specs →

Figures below are illustrative values against verified hardware specifications. Client engagements ship with measurements from your own hardware.

Model & pipelineTarget hardwareLatency (p95)PowerQualityCost / 1MData privacy
Rochon custom vision transformer→
NVIDIA Jetson Orin Nano (8GB)14.8 ms10.2 W94.2 / 100$0.02Zero egress (local)
Rochon micro-defect classifier→
NXP i.MX 93 (0.5 TOPs eIQ NPU)24.5 ms2.8 W91.8 / 100$0.01Zero egress (local)
Rochon acoustic anomaly detector→
Silicon Labs EFR32MG2418.2 ms< 0.4 W88.5 / 100< $0.01Zero egress (local)
Rochon secure local LLM (8B FP8)→
1x NVIDIA RTX 4090 (air-gapped)195 ms350 W peak91.4 / 100$0.18Zero egress (local)
Rochon high-capacity (70B INT4)→
2x NVIDIA L40S 48GB (on-prem)480 ms650 W rack93.6 / 100$1.20Zero egress (local)
Frontier cloud API baseline→
Public cloud multi-tenant API1,420 msDatacenter92.8 / 100$15.00+Cloud data egress

Five stages. One line.

Detailed approach methodology →

Every engagement starts with a fixed-fee pilot: a measured answer to one narrow question on your real data, delivered in weeks, not a slide deck.

Deploy custom AI on your terms.

Tell us about your target silicon, data residency constraints, or latency requirements. Rochon engineers will provide a clear evaluation of what is viable, with power and latency models and deployment blueprints.