We deploy private LLMs, fine-tune models on your data, and redesign workflows that AI can actually improve. No fluff, no vendor lock-in — just engineers who've built production AI systems.
We cover the full stack — infrastructure, models, data pipelines, and the human processes that make AI useful.
Run powerful language models on your own infrastructure — cloud or on-premise. Full data sovereignty, no API costs at scale, and zero leakage to third parties.
Connect your model to internal documents, databases, and knowledge bases. Get accurate, cited answers grounded in your actual company data.
Adapt a base model to your domain, tone, and tasks. LoRA and full fine-tuning on your proprietary datasets for precision your use case demands.
Identify the workflows bleeding the most time, then redesign them with LLM agents. Document processing, email triage, report generation, internal Q&A.
Before writing a line of code, we map your organisation's AI readiness, identify the highest-ROI opportunities, and build a prioritised roadmap.
LLMs in production need monitoring, retraining, and iteration. We provide embedded engineering support so your AI capabilities compound over time, not degrade.
We move fast. Most engagements go from discovery to a working prototype in under four weeks.
A 45-minute session to understand your tech stack, team, and the specific workflows you want to improve. Free, no commitment.
30–45 minWe audit your data, infrastructure, and current processes. We identify two or three high-impact LLM opportunities and estimate effort and ROI for each.
3–5 daysWe build a working prototype scoped to the highest-value use case. You see real results on your own data before any larger commitment.
2–4 weeksFull implementation, integration with your existing systems, team training, and documentation. We don't leave until it's running smoothly.
4–12 weeksMost AI consulting looks like this: a strategy presentation, a vendor recommendation, and a retainer that outlasts the enthusiasm. That's not us.
We're a small team of engineers who have deployed LLMs in production at fintech, iGaming, and enterprise SaaS companies. We write the code, set up the infrastructure, and stay until it works.
Talk to an engineerNot demos. These are live systems serving real users, running on real data.
Built a multi-model pipeline (Mistral + LLaMA + Milvus vector store) that generates and distributes content across 10,000+ news websites daily. Fully automated ingestion, generation, deduplication, and publishing — zero human editorial bottleneck at scale.
Computer vision + LLM pipeline that analyses vehicle damage from photos, classifies severity, and generates repair cost estimates. Replaced a slow manual claims assessment workflow — adjusters now review AI output rather than starting from scratch.
Fine-tuned a base LLM on Estonian language data to power "Toomas" — a conversational practice bot. Handles grammar correction, contextual explanation, and adaptive difficulty. Rare low-resource language with no off-the-shelf solution; we built it from scratch.
LLM-assisted document analysis integrated into an iGaming platform's KYC flow. Improved pass rates, cut manual review time, and flagged edge cases for human review — all within existing compliance frameworks.
RAG system over payment runbooks, API docs, and incident history. Ops teams get answers in seconds. Reduced escalations and on-call load significantly within the first month of deployment.
Automated extraction and summarisation of lease agreements, property documents, and client briefs for a 200+ employee agency. Eliminated hours of manual document handling per deal.
Book a free 45-minute discovery call. We'll look at your stack, understand your workflows, and tell you honestly whether LLMs will move the needle — and how.