// on-prem · air-gapped · yours
LLMs that never leave your building.
GoLedgr puts state-of-the-art models on your own GPUs — on-prem, air-gapped, and free of every per-token cloud bill. You keep the weights, the data, and the margin.
6 senior engineers · 5 deployments · founded 2026
01 / services
Everything between the wall socket and the tokens.
-
01
Local LLM implementation & consultation
We stand up production inference on your GPUs and edge hardware — from a single workstation to a full rack. vLLM or llama.cpp, sized to your load, hardened to your network policy, and proven with a load test before we call it done.
-
02
Model selection & quantization
We benchmark open-weight candidates against your tasks, then squeeze them into your VRAM budget with GGUF, AWQ, or GPTQ — measuring quality loss at each step so you know exactly what the compression cost.
-
03
Cost & latency benchmarking
We model your on-prem TCO against metered API pricing — tokens, watts, GPUs, people — so the board sees the break-even date, and your p95 latency beats the round-trip to anyone else's datacenter.
02 / how we work
Audit. Pilot. Harden. Operate.
-
01
Audit
Two weeks on your floor: GPU inventory, data classification, workload mapping. You get a ranked deployment plan with latency, cost, and risk attached to every option.
-
02
Pilot
One workload, fully on-prem, in production conditions — real prompts, real evals, real users. Success criteria are written down before we start and measured after.
-
03
Harden
Guardrails, egress audits, failover, and monitoring get bolted on until the deployment survives your security review and your busiest Monday.
-
04
Operate
Handover to your engineers with runbooks and on-call training — or a retained support agreement. Either way, the system is yours, not ours.
03 / proof
A payments firm that stopped metering tokens.
A Series-B payments processor needed LLM triage over transaction disputes but was barred from sending cardholder data anywhere. In a four-week pilot we deployed a quantized 32B model on their existing 2× RTX 4090 workstation, wired it to their dispute corpus with RAG, and put eval gates in front of every release. It has run on-prem since.
- 1.2 B tokens/month processed on their own rack
- $0 cloud egress — verified by their egress audit
- $310 k projected annual savings vs. metered API pricing
- 180 ms p95 first-token latency, sustained under load
04 / about
A small team you can actually reach.
GoLedgr is six senior infrastructure and ML engineers founded in 2026. No account managers, no layers: the people who audit your rack are the people who ship your deployment and answer the phone when something looks odd at 2 a.m.
We've done this in fintech, healthcare, legal, and defense-adjacent environments — which means we treat "air-gapped" as an engineering requirement, not a slide word.
05 / contact
Tell us what can't leave the building.
The fastest way in is a hardware audit — two weeks on your floor, a ranked plan at the end. Or skip the box entirely and just write to us:
we reply within one business day.
GoLedgr Ltd
71–75 Shelton Street
London, United Kingdom
WC2H 9JQ