AI programs rarely fail on the model. They stall on clusters that sit underused, platforms nobody can operate, and agents that never get past the pilot. We engineer the whole path, from GPUs you own or rent to the agents that do real work on them.
We design and build every layer, on either major accelerator ecosystem, on-prem, at a neocloud or in the public cloud. Where a provider runs the lower layers, we engineer everything above the line they hand over.
Select any layer to expand it.
Reference architecture. Every build is fitted to your hardware, network and tenancy model.
Each engagement starts where your stack is weakest, which is often lower than you expect. We take ownership of that layer and make it hold under real load. Then we run it for you as a managed service, or hand it to your engineers.
Capacity that comes up identical every time, whether it's racked, leased or rented.
cluster provisioning · instance selection · images & baselines · fabric · acceptance testing
GPUs that are enabled, partitioned and watched, on either vendor's hardware.
operator lifecycle · partition geometry · health & telemetry · multi-vendor
A cluster that shares expensive compute fairly between teams and tenants.
kubernetes for AI · gang scheduling · quotas & fair-share · multi-tenancy
Your data, wired to the models without leaving your control.
storage paths · ingest pipelines · retrieval · system-of-record integrations
Agent fleets that write, test and ship code on your own compute.
agent fleets · code context · evals · your models
Agents in your products and operations that do real work, not demos.
use-case strategy · workflow design · tool & data integration · evals
We build agents that ship your software and agents that run inside your products and operations, engineered with a precision focus on optimizing value.
An agent is only as good as what it can reach. We wire code, tickets, docs and systems of record into retrieval and tools, and run them like any production system.
Every agent ships with evals, latency targets and a cost per task, tracked on the same dashboards as the rest of your stack.
Agents run as workloads on your capacity, owned or rented, queued and scaled like training and inference, so idle GPU hours turn into shipped work.
Racked on-prem, leased from a neocloud or rented in the public cloud, we engineer every layer around your GPUs so your team gets the full agentic lift.
Multi-tenant scheduling, partitioning and model endpoints your customers can use on day one.
We tune instances, Kubernetes and serving, then build the agent layers on top.
A factory on hardware you own or lease, connected to your data, and run by us or by your team.
Agent fleets on your models, working tickets from plan to merged change.
Senior engineers who know every layer, from the silicon to the agent, make the hard calls with you, and are judged by what runs in production. When it's live, we run it for you as a managed service, or hand it to your team. Your call.
If it shouldn't be built, or not yet, we say so before money moves.
Either accelerator ecosystem, on-prem or any cloud, with the upper layers kept portable.
Your repos, your reviews, your channels. We work as part of your team.
We measure your hardware and tune from your workloads, not from a reference deck.
Benchmarks, burn-in and utilization decide when something is done.
Ongoing managed operations, or a clean hand-off with code and runbooks.
We ship agents that do serious work.
Production demands agents that get it right the first time — or collaborate with human experts so every action stays recorded and reversible. We're the engineering team helping enterprises harness the power of agentic AI.
Their on-call team was buried in alerts and slow to root-cause. We built an agent that triages, investigates in parallel, and resolves routine incidents itself — escalating only the consequential calls to a person.
Cost reviews were manual, infrequent, and noisy. We built an auditor that checks every service against real utilization, with an independent critic that discards weak findings before anyone is ever paged.
Staff faced dense, sometimes-conflicting policy and couldn't risk a confident wrong call. We built an agent that reasons across the sources, shows its work with citations, and escalates the genuinely ambiguous calls.
A conversation costs nothing, and you'll leave it knowing what it takes to get your stack into production.
contact@agentist.co