Independent LLM infrastructure practice
Ship language models that hold under load.
Harness Consult is a consulting practice for teams putting language models into production — in the cloud, on the device, or inside a boundary the data is not allowed to leave.
What we do
Six categories of work.
Most engagements start in one and touch two. They are separated here because the constraints are genuinely different — a memory ceiling on a phone and a regulator's boundary are not the same problem wearing different clothes.

LLM cloud
Model selection, gateways, routing and cost control across the major providers and open-weight models.

On-device & edge
Phones, laptops, vehicles and embedded targets — quantisation, runtimes, memory budgets and hybrid fallback.

Optimisation
Quantisation, distillation, adapters, speculative decoding and caching — each measured against a quality bar.

Deployment & serving
Serving stacks, GPU scheduling, model registries and release mechanics that survive a bad Friday.

Scaling & reliability
Capacity planning, autoscaling, queueing, SLOs and failover for workloads that cannot fall over.

Private & sovereign cloud
On-prem, VPC-isolated and air-gapped deployments, with the compliance evidence that makes them signable.
How we work
Measured, then built, then handed over.
Four stages, in order, because each one's output is the next one's input. The first is always measurement — a recommendation without a baseline is a preference.
Read the full process- 01
Diagnostic
1–2 weeks
- 02
Architecture
1–3 weeks
- 03
Build
4–12 weeks
- 04
Handover
1–2 weeks
How we operate
Four commitments.
Measure first
No recommendation before a baseline. Teams routinely optimise the wrong thing for a quarter because nobody put a number on it in week one.
Your repo, your cloud
Work lands in your infrastructure, your IaC and your review process from day one. Nothing of consequence should live on a consultant's laptop.
The boring answer, when it's right
Frequently the correct advice is a cache, a shorter prompt, or staying on the API you already pay for. We would rather be useful than interesting.
Leave the team stronger
Success is your engineers operating this confidently without us. We are a temporary function by design.
Tell us what's breaking.
Bring a workload, a latency target, or a bill you can't explain. First conversation is a technical one — no discovery deck.
