The Foundry Report: Why Fine-Tuned Models Are Still the Sharpest Weapon in Enterprise AI

LeemerChat has processed over 1 billion tokens in real production environments. We didn't just build these systems in a lab; we built Leemer Heavy, Leemer Heavy Fast, and Leemer Research — multi-model orchestration pipelines using Qwen, Groq, GPT-4.1, Claude, Kimi, LLaMA, and DeepSeek simultaneously.

Furthermore, Warren.wiki, ExamMate, HeyCouncil, and DeepThis are all real, domain-specific AI deployments across finance, education, civic, and research verticals that we built and operate.

Every system we offer a client, we've already built for ourselves. That 1B token number isn't a marketing stat — it's every edge case, failure mode, and breakthrough we've already lived through so you don't have to.

When Tinker went generally available in December 2025, most teams were just getting access. We'd already been battle-testing it as Ireland's only Beta Partner. Your model benefits from that runway.

This partnership unlocks capabilities that enterprises simply cannot get elsewhere in Ireland or Europe. We're talking about fault-tolerant distributed training on everything from 1B experts to 235B MoE models. We implement 'LoRA Without Regret' — research-grade LoRA, not just default settings out of the box.

We expose the exact same training philosophy used by frontier labs through a clean, reliable pipeline. Our clients had months of head start, and now that advantage is baked into every model we train.

Fine-tuning is week two of a four-week pipeline. The model is only as valuable as the system it lives in. We build the whole system.

Most fine-tuning shops hand over the model weights and disappear. Foundry delivers a complete intelligence layer: private API endpoints, white-label chat apps (like a white-label LeemerChat), RAG pipelines, and agentic fleets (Planner → Worker → Judge architectures).

We build Slack, Teams, and WhatsApp bot integrations, complete with monitoring, logging, rate limits, and analytics. And we don't leave you stranded after deployment; we offer ongoing monthly retainers for model upkeep, dataset refinement, and continuous learning.

Owning your model isn't just about cost. In 2026, it's about sovereignty. Your weights, your VPC, your compliance posture. We're the only Irish partner that can deliver this at frontier scale.

With the EU AI Act now in full force, compliance isn't optional. Our architecture is GDPR-native by design, offering on-prem deployment options and fully exportable weights. We're not blindly routing your sensitive data through a US API — everything stays in your stack, under your control.

Built in Waterford, we offer localized expertise without Silicon Valley overhead or timezone friction for our Irish and EU enterprise clients. Your data. Your model. Our GPUs.

2023 was the year people prompt-engineered ChatGPT. 2024 was about building RAG pipelines. 2025 was about fine-tuning models. Now, in 2026, enterprises are deploying fleets of specialized, fine-tuned agents that actually act, not just respond.

Foundry builds those fleets. Our internal LeemerChat orchestration—running Qwen, Groq, Claude, and Kimi simultaneously—is the living proof that this Planner → Worker → Judge architecture works flawlessly at scale.

We don't just fine-tune a model to answer questions; we fine-tune specialized workers that know how to use tools, access databases, and collaborate to automate complex, multi-step business workflows.

Intimidated by enterprise pricing? We get it. That's why we created the "A Day With Ray" format. It's a focused, high-impact session designed specifically for SMEs and solo founders.

Not sure where to start with your AI strategy? That's exactly what this is for. It lowers the barrier to entry, giving you direct access to the exact same expertise that builds our frontier-scale models, tailored for your specific business problem.