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GoLedgr_

// 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.

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6 senior engineers · 37 deployments · founded 2023

100%on-prem deployments
0tokens billed to any cloud
180 msp95 first-token latency, delivered
37deployments shipped since 2023
14 daysmedian audit-to-pilot

01 / services

Everything between the wall socket and the tokens.

01

On-prem inference deployment

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

Fine-tuning & RAG pipelines

LoRA fine-tunes on your proprietary data and retrieval pipelines over your document stores — built, evaluated, and versioned so retraining is a command, not a project.

04

Evaluation & guardrails

Task-specific eval suites with pass/fail gates, plus input and output guardrails tuned to your regulator. Every model change ships with evidence, not vibes.

05

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.

  1. 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.

  2. 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.

  3. 03

    Harden

    Guardrails, egress audits, failover, and monitoring get bolted on until the deployment survives your security review and your busiest Monday.

  4. 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 2023. 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:

hello@goledgr.com

we reply within one business day.

GoLedgr Ltd

71–75 Shelton Street
London, United Kingdom
WC2H 9JQ

ops@vault-01 — request-audit

// request a hardware audit

Tell us what can't leave the building.

Two weeks on your floor, a ranked plan at the end. We reply within one business day.