Query years of past experiments
Scattered research data becomes a retrieval system your scientists can question, for faster hypothesis generation.
Solutions · Applied AI
AI consulting & local model advisory
Move from experiments to production-ready, secure AI. We help you train, fine-tune and deploy models that fit your workflows and run on infrastructure you control.
What we do
Effective AI is about data, integration and governance.
Picking a model is the easy part. We help you narrow down your data requirements, choose the right open-source base models and design solutions that integrate with the tools you already use.
- Identify high-value use cases and the data needed to fuel them
- Prioritize open-source models for cost control and ownership
- Deploy securely in your VPC or on-premises environment
Recommended base models
Open weights first, for control and long-term value.
We can work with proprietary APIs, but starting from open-source architectures gives you full ownership and stronger security.
LLaMA family
Meta’s open models. Excellent general-purpose performance for chat, reasoning and summarization.
Mistral / Mixtral
High-efficiency models known for speed and strong reasoning. Ideal for cost-sensitive, high-throughput work.
Code & specialized models
Models tuned for code generation (CodeLlama, DeepSeek) or specific domains such as healthcare and law.
Security & governance
Your sensitive data never has to leave your infrastructure.
Data privacy is the biggest barrier to AI adoption. Self-hosted local models remove it, and we design the prompts, guardrails and deployment to keep it that way.
-
Data sovereignty
Training and inference data stay within your VPC or on-premises servers.
-
Access control
Granular, role-based access to AI tools, like any other enterprise application.
-
Auditable
Full logging of prompts and completions for compliance and safety.
Project scoping & delivery
A clear path from discovery to production.
-
Discovery
We identify high-value use cases and audit your documents, logs and tickets.
-
Data mapping
We classify and clean data, and decide what suits retrieval (RAG) versus fine-tuning.
-
Pilot
A proof of concept on a base model validates the approach and defines success metrics.
-
Scale-up
We optimize for production, deploy on your infrastructure and integrate with your apps.
Employee enablement
Technology is only as good as the people using it.
We provide advisory and training so your team uses AI confidently and safely.
Prompt engineering
Best practices for consistent, high-quality outputs from language models.
AI ethics & safety
Understanding limitations, when to rely on AI and how to verify results.
Confidentiality
Clear dos and don’ts for sharing information with AI models and tools.
Use cases
Problems we solve with AI.
A troubleshooting assistant for technicians
Complex machine manuals turned into an assistant that helps technicians resolve faults and reduce downtime.
Drafting and summarization tools
Repetitive report writing handled by auto-summarization and drafting tools, saving hours on every report.
Start your AI journey.
Ready to build an AI solution that actually works for your business? Let’s scope it together.
