LeemerFoundry · Ireland's first custom LLM studio

Forge your own AI model.

Your data. Your model. Our GPUs. Custom LLMs trained on cutting-edge distributed infrastructure — optimised for your domain and deployed anywhere. The reason LeemerLabs exists.

Official Tinker Partner

Ireland

Qwen · LLaMA · Gemma

Fine-tuned

Europe-hosted

GDPR-native

OpenRouter · Groq · AWS

Compatible

Perfect for

Who is this for?

01

Startups

Build your AI moat early. Custom models give you a defensible edge over competitors stapling OpenAI to their product.

02

Agencies

Offer AI services under your own name. White-label models and managed inference, delivered as a finished system.

03

Enterprise

Private intelligence with full compliance, data sovereignty, and exportable weights. Your infrastructure, your rules.

The timing

Why now?

The AI landscape has shifted. Custom models are no longer a luxury — they're a strategic necessity.

Headline ratio

10×

Cost reduction in training frontier-grade models, every 18 months. The economics now favour ownership over rental.

Before

Generic GPT workflow

  • $0.03–$0.12 per 1K tokens
  • Data sent to third-party servers
  • Generic responses, no domain expertise
  • Rate limits & API dependency

After

Custom model workflow

  • Fixed hosting cost, 95% cheaper at scale
  • Your VPC, your data, full privacy
  • Domain-tuned expertise and tone
  • No limits, full control

Foundation

Models we support.

Fine-tune frontier open-source models that rival proprietary alternatives. All weights exportable. All inference yours. 

GroqOpenRouterHuggingFaceGoogle CloudAWS

LeemerLabs

MoE + small, in-house

  • LeemerGLM-106B-A22B
  • Liquid-LeemerLabs-350M

Qwen

Dense · MoE · Vision

  • Qwen3 · 4B / 8B / 32B
  • Qwen3 · 235B MoE
  • Qwen3-VL · 30B / 235B

LLaMA

Dense

  • Llama-3.2 · 1B / 3B
  • Llama-3.1 · 8B / 70B
  • Llama-3.3-70B-Instruct

Moonshot

Frontier reasoning

  • Kimi K2 · Thinking
  • Kimi K2.5 · Base

DeepSeek

MoE

  • DeepSeek V3.1 · Base
  • DeepSeek V3.1 · Instruct

GPT-OSS

MoE

  • GPT-OSS · 20B
  • GPT-OSS · 120B

The process

The Foundry pipeline.

From raw data to deployed intelligence — four weeks to your custom model. Complex enterprise projects may run six to eight.

Week 101

Data Forge

Create, clean, or synthesize datasets. Domain distillation from frontier models. RL trajectories, instruction sets, labeled evaluations.

Week 202

Model Crafting

Fine-tune models from 1B to 235B parameters on distributed infrastructure. LoRA Without Regret, full fine-tuning, multi-turn, vision.

Week 303

Evaluation

Benchmarks against TruthfulQA, MMLU, GSM8K, HumanEval. Safety tests, hallucination analysis, real-client evals, regression suites.

Week 404

Deployment

Private APIs, SDKs, exportable weights, white-label apps, monitoring, rate limits, analytics. The whole intelligence layer.

The advantage

Stop paying per token. Own your intelligence layer.

95% cheaper

at scale

For high-volume workloads, custom models eliminate per-token API costs. You own the inference economics.

Private

by default

Your weights, your VPC. Nothing leaves your compliance perimeter. Enterprise-grade privacy without bolt-ons.

Domain

expertise

Tailored tone, terminology, and behaviour. Your model speaks your language and understands your context natively.

Exportable

weights

At the end of the engagement you walk away with the model. No vendor lock-in, no recurring license fees on your own work.

What you don't need

We handle the infrastructure stack. You stay focused on the product.

GPU cluster management
ML research team
Distributed training infrastructure
Model orchestration layer
Hosting & deployment expertise
Evaluation harness engineering

Our edge

Why LeemerLabs?

Not another agency — a full AI lab. We build models, agents, pipelines, infrastructure, and entire platforms.

01

Not another agency — a full AI lab

Most 'AI agencies' wrap OpenAI and call it a day. LeemerLabs is the research arm behind LeemerChat, Warren.wiki, ExamMate, HeyCouncil, and DeepThis — real systems used by real people every day.

02

In the AI game since 2023

We were training models, distilling Qwen, orchestrating multi-model workflows, and building agents before GPT-4o, before Gemini, before the hype cycle.

03

Built our own models

We've fine-tuned Qwen, LLaMA, Gemma, Mistral, and Mixtral. We've built internal bilingual models, distilled production models, and shipped custom Orchestrator → Worker chains inside LeemerChat.

04

1B+ tokens processed

LeemerChat alone has served over a billion tokens to real users. That's a billion tokens of real reasoning, real edge cases, and real scale.

05

Ireland's Official Tinker Partner

We're partnered with Thinking Machines, giving us distributed fine-tuning infrastructure most companies will never touch. Fault-tolerant multi-node training from 7B to 235B.

06

Multi-model orchestration

Leemer Heavy, Leemer Heavy Fast, Leemer Research. Multi-agent pipelines using Qwen, Groq LPU, GPT-5, Claude, Kimi, LLaMA, and DeepSeek — in production.

07

Full-stack AI deployment

Private APIs, white-label chat apps, internal agents, custom embeddings, RAG, on-prem deployment, monitoring, rate-limits, logging, analytics. The whole system, not just the weights.

08

Builders, not consultants

Everything we sell, we use in our own products. We're operating. If we didn't build real things, we wouldn't be here.

09

Open models with ownership

We back open-weights. We support local hosting. At the end of the engagement, you own the model, the weights, and the intelligence layer.

10

Waterford-built, globally scaled

World-class AI, built in Ireland. No Silicon Valley ego, no bloated teams. Pure engineering and delivery.

Battle-tested scale

1,000,000,000+

tokens processed across the ecosystem

LeemerChat alone has served over a billion tokens to real users. That's a billion tokens of model reasoning, real-world edge cases, and everything that breaks and everything that scales. This is operator experience, not theoretical knowledge.

Enterprise-ready

Built for compliance.

Full governance, security, and sovereignty controls for organisations that demand the highest standards.

GDPR Ready
On-prem deployment
ISO-friendly
Data sovereignty
Private inference
Exportable weights

Powered by Tinker

Nvidia

The infrastructure behind frontier models.

Generally available · Built by Thinking Machines Lab

Tinker compresses an entire AI infrastructure team into an API. We use it because it gives our clients something most agencies simply cannot offer: research-grade distributed training through a clean, reliable pipeline.

Serious scale without the DevOps pain

GPU scheduling, checkpointing, fault tolerance, multi-node training — handled. We focus on data, objectives, and evaluation.

Frontier-class models, open weights

Support for modern LLaMA and Qwen families, including huge MoE models. Train against frontier architectures, keep the weights.

LoRA done right

'LoRA Without Regret' gives practical guidance on ranks, learning rates, and RL behaviour. Full-fine-tune performance at a fraction of the compute.

Built by frontier model veterans

Thinking Machines is staffed by former OpenAI leaders — including co-founder John Schulman — who have shipped frontier-scale systems before.

What we offer

Full-stack AI services.

Not just training. Deployment, hosting, white-label apps, orchestration, RAG, and evaluations — the whole system.

Custom Model Creation

Fine-tuning on Qwen3, LLaMA 3.x, DeepSeek V3.1, Kimi K2.5. LoRA adapters, multi-turn training, instruction tuning, vision.

Data Services

Dataset creation (manual + synthetic), cleaning, formatting, domain distillation, RL trajectory sets, labeling pipelines.

Deployment & Hosting

Private endpoints, downloadable weights, SDKs, hosted inference, LoRA merging, rate limiting, logging, analytics.

RAG & Agentic Fleets

Vector stores, multi-agent orchestration (Planner → Worker → Judge), document ingestion, retrievers, tool-use training.

White-Label Apps

White-label LeemerChat, research agents, internal team chat, Slack / Teams / WhatsApp bot integrations.

Evaluation

TruthfulQA, MMLU, GSM8K, HumanEval, client-data evals, safety tests, hallucination analysis, benchmark reports.

Applications

Use cases.

Legal

Case law, contract review, clause extraction

Real estate

Property analysis, market briefs, client comms

Healthcare

Knowledge models, patient comms, documentation

Education

Personalised tutors, curriculum adaptation

Accounting

Financial analysis, tax prep, compliance

Customer service

24/7 support, ticket routing, KB search

Research & writing

Literature review, citation, drafting

Civic

Policy analysis, citizen engagement, automation

Start building

Your data. Your model. Our GPUs.

Send us a short note about what you'd like to build. We reply within one working day with a scoping call.