Science
Lab data into modern database systems
Years of material and test data sat in legacy systems — hard to search, barely usable for analysis.
AI agents that actually ship to production.
Custom-built, human-approved, privacy-first: AI agents and workflow automation that hold up in daily business — from an EU-based engineering partner.
What we build and automate
Use cases
What AI agents can do for a business
Four patterns that work across industries — from law firms to agencies to trading companies.
Email triage
An agent reads incoming email, classifies it, routes it to the right person and drafts a reply for approval. Your inbox stops being a to-do list someone has to sort by hand.
Document processing
Agents extract structured data from invoices, contracts and forms and validate it against your systems. A human reviews the result instead of typing it in.
Client intake
An agent captures new enquiries in a structured way — collecting details, checking completeness and preparing the case for your team. First responses go out faster, and nothing falls through the cracks.
Knowledge retrieval (RAG)
A retrieval-based assistant makes your internal documents searchable in plain language, with answers backed by sources from your own files. Knowledge stops living only in the heads of two people.
Beyond off-the-shelf tools
Better than off-the-shelf tools — because you own it.
Ready-made AI tools are a fine start — but they remain isolated subscription tools, with your data on someone else's servers. We build automation that is integrated with your systems and belongs to you.
- Data sovereignty instead of a US SaaS subscription: it runs in your accounts — fully local if you want.
- Deep integration instead of an isolated tool: connected to your ERP, CRM and existing workflows.
- Production-ready instead of a demo: tested, monitored and operated with clear responsibilities.
Gartner expects more than 40% of agentic AI projects to be cancelled by the end of 2027 — many of them victims of “agent washing” rather than the technology itself. That is why we treat AI agents as engineering projects: architecture, tests and monitoring instead of demo effects.
Fixed-scope entry
The AI readiness audit
A structured way to start: we analyse your processes and show where AI pays off — before you invest in implementation.
Process scan + roadmap, fixed scope
Together we walk through your workflows, identify the processes with the biggest leverage and deliver a roadmap you can act on immediately.
- Process scan: where time is lost today — and which steps can be automated
- Prioritised use cases with an effort/benefit assessment
- Architecture recommendation including the right privacy level (local, EU hosting or PII masking)
- A roadmap with concrete next steps — actionable with us or with your own team
Fixed scope at a fixed price — we confirm the details in a first call.
Our work
We don't name clients — and your competitors will never hear about you from us. What we can show: the industries and problems we have solved.
E-commerce
Automation for wholesale and retail
Shop and inventory processes that had grown over time meant lots of manual work and slowed down daily business.
Frequently asked questions
What are AI agents — and what can they do for a business?
AI agents are software systems that use language models to complete multi-step tasks: they read, classify, extract, draft and retrieve information within boundaries you define. For a business, that typically means email triage, document processing, structured client intake and searchable internal knowledge. They are strongest on repetitive, text-heavy processes with clear rules. The difference between a demo and a useful agent is engineering: integration with your systems, approval workflows and monitoring in production.
How is a custom agent different from ChatGPT or off-the-shelf tools?
ChatGPT and similar tools are general-purpose assistants — useful, but disconnected from your systems and your rules. A custom agent is integrated with your data and software, follows your processes, logs every step and asks a human for approval where it matters. It runs in your accounts, so you keep data sovereignty — built on established open-source stacks with complete documentation and no platform dependency, instead of renting a subscription tool. For simple needs an off-the-shelf tool can be the honest answer — and we tell you when that is the case.
How do you keep humans in control?
Every agent we build is assistive by design: it prepares work — sorting, extracting, drafting — and a human approves before anything leaves the company or changes data. Approval workflows, role-based access and a full audit trail are part of the architecture, not an afterthought. The boundaries of what an agent may do are enforced technically, not just promised.
Can agents work with our existing systems (ERP/CRM)?
In most cases, yes. We connect agents through APIs and middleware — including older ERP and CRM systems without modern interfaces. You don't need to replace anything: the automation wraps around your existing workflows. Whether and how your systems can be connected is exactly what the AI readiness audit clarifies.
What does the AI readiness audit include?
It is a fixed-scope engagement at a fixed price: a process scan of where time is lost today, prioritised use cases with an effort/benefit assessment, an architecture recommendation including the right privacy level, and a roadmap with concrete next steps. You can act on it with us or with your own team. And if AI is not the right answer for a process, the audit says so.
Start a project
Tell us briefly what you need — your message lands directly with the people who build your project.
WhatsApp — the fastest way
A quick question, a small project, or just want to start simple? Message us directly.
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