01
Startups
Build your AI moat early. Custom models give you a defensible edge over competitors stapling OpenAI to their product.
LeemerFoundry · Ireland's first custom LLM studio
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.
PARTNER
Official Tinker Partner · Ireland
BASES
Qwen · LLaMA · Gemma / fine-tuned
HOSTING
Europe-hosted · GDPR-native
COMPATIBLE
OpenRouter · Groq · AWS
Perfect for
01
Build your AI moat early. Custom models give you a defensible edge over competitors stapling OpenAI to their product.
02
Offer AI services under your own name. White-label models and managed inference, delivered as a finished system.
03
Private intelligence with full compliance, data sovereignty, and exportable weights. Your infrastructure, your rules.
The timing
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
After
Foundation
Fine-tune frontier open-source models that rival proprietary alternatives. All weights exportable. All inference yours.
LeemerLabs
MoE + small, in-house
Qwen
Dense · MoE · Vision
LLaMA
Dense
Moonshot
Frontier reasoning
DeepSeek
MoE
GPT-OSS
MoE
The process
From raw data to deployed intelligence — four weeks to your custom model. Complex enterprise projects may run six to eight.
Create, clean, or synthesize datasets. Domain distillation from frontier models. RL trajectories, instruction sets, labeled evaluations.
Fine-tune models from 1B to 235B parameters on distributed infrastructure. LoRA Without Regret, full fine-tuning, multi-turn, vision.
Benchmarks against TruthfulQA, MMLU, GSM8K, HumanEval. Safety tests, hallucination analysis, real-client evals, regression suites.
Private APIs, SDKs, exportable weights, white-label apps, monitoring, rate limits, analytics. The whole intelligence layer.
The advantage
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
Our edge
Not another agency — a full AI lab. We build models, agents, pipelines, infrastructure, and entire platforms.
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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.
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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.
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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.
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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.
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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.
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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
Full governance, security, and sovereignty controls for organisations that demand the highest standards.
Powered by Tinker
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.
GPU scheduling, checkpointing, fault tolerance, multi-node training — handled. We focus on data, objectives, and evaluation.
Support for modern LLaMA and Qwen families, including huge MoE models. Train against frontier architectures, keep the weights.
'LoRA Without Regret' gives practical guidance on ranks, learning rates, and RL behaviour. Full-fine-tune performance at a fraction of the compute.
Thinking Machines is staffed by former OpenAI leaders — including co-founder John Schulman — who have shipped frontier-scale systems before.
What we offer
Not just training. Deployment, hosting, white-label apps, orchestration, RAG, and evaluations — the whole system.
Fine-tuning on Qwen3, LLaMA 3.x, DeepSeek V3.1, Kimi K2.5. LoRA adapters, multi-turn training, instruction tuning, vision.
Dataset creation (manual + synthetic), cleaning, formatting, domain distillation, RL trajectory sets, labeling pipelines.
Private endpoints, downloadable weights, SDKs, hosted inference, LoRA merging, rate limiting, logging, analytics.
Vector stores, multi-agent orchestration (Planner → Worker → Judge), document ingestion, retrievers, tool-use training.
White-label LeemerChat, research agents, internal team chat, Slack / Teams / WhatsApp bot integrations.
TruthfulQA, MMLU, GSM8K, HumanEval, client-data evals, safety tests, hallucination analysis, benchmark reports.
Applications
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
Send us a short note about what you'd like to build. We reply within one working day with a scoping call.