One of our engineers inside your project. Not a support ticket.
Forward Deployed Engineering: inference at scale is a problem of continuous operation, not of installation. That is why engineering support is not an add-on to the proposal: it is the proposal.
Four phases. Always the same ones.
Technical session
We go through your case with your team: load, target latency, data constraints and budget.
PoC with success defined
Success criteria agreed before we start, on your data and your task, not a generic demo.
Deployment
On our nodes, in your cloud or on your premises. Quote in 48 h. Deployed within 5 days of signing.
Continuous engineering
The same engineer who deployed it stays on the project: tuning, new models, growth.
No setup fee on terms of 12 months or more
Inference is not installed. It is operated.
The problem changes every month
New models, longer contexts, growing loads. A static deployment degrades. A continuous operation improves.
Your team should not have to specialise
KV-cache, batching, quantisation, NCCL: that is our trade, not yours. Your team stays on your product.
The same person on the line
Whoever sized your load is who answers when something drifts. No support tiers, no tickets bouncing around.